Publications

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller (2024). Toward Explainable Artificial Intelligence for Precision Pathology. Annual Review of Pathology: Mechanisms of Disease.

DOI

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller (2024). Set Learning for Accurate and Calibrated Models. The Twelfth International Conference on Learning Representations.

URL

Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon (2024). Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks. Information Fusion.

DOI

Robert A. Vandermeulen, René Saitenmacher (2024). Generalized Identifiability Bounds for Mixture Models with Grouped Samples. IEEE Transactions on Information Theory.

DOI

Florian Bley, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon (2024). Explaining Predictive Uncertainty by Exposing Second-Order Effects.

arXiv

Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek (2024). Explainable AI for time series via virtual inspection layers. Pattern Recognition.

DOI

Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon (2024). Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence.

DOI

Christoph Engel, Lorenz Linhardt, Marcel Schubert (2024). Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artificial Intelligence and Law.

DOI

Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras (2024). An Analysis of Human Alignment of Latent Diffusion Models. ICML Workshop on Representational Alignment.

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Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl (2023). Rather a Nurse than a Physician - Contrastive Explanations under Investigation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

DOI URL

Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Can Udomcharoenchaikit (2023). PyThaiNLP: Thai Natural Language Processing in Python. Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023).

DOI URL

Sidney Bender, Christopher J. Anders, Pattarawat Chormai, Heike Antje Marxfeld, Jan Herrmann, Grégoire Montavon (2023). Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.

Marcel F. Langer, Florian Knoop, Christian Carbogno, Matthias Scheffler, Matthias Rupp (2023). Heat flux for semilocal machine-learning potentials. Physical Review B.

DOI

C. Vidaurre, K. Gurunandan, M. Jamshidi Idaji, G. Nolte, M. Gómez, A. Villringer, K. -R. Müller, V. V. Nikulin (2023). Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings. NeuroImage.

DOI URL

Bipeng Wang, Ludwig Winkler, Yifan Wu, Klaus-Robert Müller, Huziel E. Sauceda, Oleg V. Prezhdo (2023). Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks. The Journal of Physical Chemistry Letters.

DOI URL

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller (2023). Set Learning for Accurate and Calibrated Models.

arXiv

Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon (2023). Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks.

DOI URL

Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller (2023). Evaluating deep transfer learning for whole-brain cognitive decoding. Journal of the Franklin Institute.

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Joshua Scheidt, Alexander Diener, Michael Maiworm, Klaus-Robert Müller, Rolf Findeisen, Kurt Driessens, F. Stefan Tautz, Christian Wagner (2023). Concept for the Real-Time Monitoring of Molecular Configurations during Manipulation with a Scanning Probe Microscope. The Journal of Physical Chemistry C.

DOI URL

Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela (2023). Reconstructing Kernel-Based Machine Learning Force Fields with Superlinear Convergence. Journal of Chemical Theory and Computation.

DOI URL

Kai J. AND Müller, Klaus-Robert AND Valencia, Gabriela Ojeda AND Huang, Harvey AND Gregg, Nicholas M. AND Worrell, Gregory A. AND Hermes, Dora Miller (2023). Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLOS Computational Biology.

DOI URL

Kristof T. Schütt, Stefaan S. P. Hessmann, Niklas W. A. Gebauer, Jonas Lederer, Michael Gastegger (2023). SchNetPack 2.0: A neural network toolbox for atomistic machine learning. The Journal of Chemical Physics.

DOI URL

Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima Ping Xiong (2023). Relevant Walk Search for Explaining Graph Neural Networks. Proceedings of The Fortieth International Conference on Machine Learning, ICML 2023.

Marcel F. Langer, Florian Knoop, Christian Carbogno, Matthias Scheffler, Matthias Rupp (2023). Heat flux for semi-local machine-learning potentials.

URL

Kirill Bykov, Klaus-Robert Müller, Marina M. -C. Höhne (2023). Mark My Words: Dangers of Watermarked Images in ImageNet.

arXiv

Simone Bacchio, Pan Kessel, Stefan Schaefer, Lorenz Vaitl (2023). Learning trivializing gradient flows for lattice gauge theories. Physical Review D.

DOI URL

Adam Streck, Tom L Kaufmann, Roland F Schwarz (2023). SMITH: spatially constrained stochastic model for simulation of intra-tumour heterogeneity. Bioinformatics.

DOI

K. -R Müller, Simon Hofmann (2023). Interpreting Deep Learning Models for Multi-modal Neuroimaging.

DOI

Simon Letzgus (2023). XAI for transparent wind turbine power curve models.

arXiv

D. Grinwald, K. Bykov, S. Nakajima, M. M.-C. Höhne (2023). Visualizing the Diversity of Representations Learned by Bayesian Neural Networks. Transactions on Machine Learning Research.

Simon Letzgus, Klaus-Robert Müller (2023). Towards transparent and robust data-driven wind turbine power curve models.

arXiv

Dennis Wagner, Tobias Michels, Florian C. F. Schulz, Arjun Nair, Maja Rudolph, Marius Kloft (2023). TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection. Transactions on Machine Learning Research.

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Marcel F. Langer, J. Thorben Frank, Florian Knoop (2023). Stress and heat flux via automatic differentiation. Journal of Chemical Physics.

DOI

Philipp Keyl, Philip Bischoff, Gabriel Dernbach, Michael Bockmayr, Rebecca Fritz, David Horst, Nils Blüthgen, Grégoire Montavon, Klaus-Robert Müller, Frederick Klauschen (2023). Single-cell gene regulatory network prediction by explainable AI. Nucleic Acids Research.

DOI URL

Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2023). Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR.

Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller (2023). Self-Supervised Training with Autoencoders for Visual Anomaly Detection.

arXiv URL

Malte Esders, Gimmy Alex Fernandez Ramirez, Michael Gastegger, Satya Swarup Samal (2023). Scaling up machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points. Computers & Chemical Engineering.

DOI URL

Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima (2023). Relevant Walk Search for Explaining Graph Neural Networks. International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA.

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Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela (2023). Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. Journal of Chemical Theory and Computation.

Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon (2023). Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks.

arXiv

A. Bauer, S. Nakajima, K. -R. Müller (2023). Polynomial-Time Constrained Message Passing for Exact MAP Inference on Discrete Models with Global Dependencies. Mathematics.

DOI URL

K. Nicoli, C. ~J. Anders, L. Funcke, T. Hartung, K. Jansen, S. Kuhn, K. -R. Müller, P. Stornati, P. Kessel, S. Nakajima (2023). Physics-Informed Bayesian Optimization of Variational Quantum Circuits. Advances in Neural Information Processing Systems (NeurIPS2023).

K. ~A. Nicoli, C. ~J. Anders, L. Funcke, K. Jansen, S. Nakajima, P. Kessel (2023). NeuLat: a toolbox for neural samplers in lattice field theories. The 40th International Symposium on Lattice Field Theory (LATTICE2023).

Johanna Vielhaben, Stefan Blücher, Nils Strodthoff (2023). Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. Transactions on Machine Learning Research.

URL

D. Panknin, S. Chmiela, K. -R. Müller, S. Nakajima (2023). Local Function Complexity for Active Learning via Mixture of Gaussian Processes. Transactions on Machine Learning Research.

Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon (2023). Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. Neural Networks.

K. Bykov, L. Kopf, S. Nakajima, M. Kloft, M. Höhne (2023). Labeling Neural Representations with Inverse Recognition. Advances in Neural Information Processing Systems (NeurIPS2023).

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe (2023). Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models. IEEE Transactions on Medical Imaging.

DOI

Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert M\l̈ler, Matteo Valleriani (2023). Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI.

arXiv

Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A Vandermeulen, Katherine Hermann, Andrew K Lampinen, Simon Kornblith (2023). Improving neural network representations using human similarity judgments. arXiv preprint arXiv:2306.04507.

Hansmann Martin-Leo, Klauschen Frederick, Samek Wojciech, Müller Klaus-Robert, Donnadieu Emmanuel, Scharf Sonja, Hartmann Sylvia, Koch Ina, Jörg Ackermann, Pantanowitz Liron, Schäfer Hendrik, Wurzel Patrick (2023). Imaging bridges pathology and radiology. Journal of Pathology Informatics.

DOI

Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith (2023). Human alignment of neural network representations. 11th International Conference on Learning Representations, ICLR 2023, Rwanda, May 1-5, 2023.

Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith (2023). Human alignment of neural network representations. The Eleventh International Conference on Learning Representations.

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G. Nobis, M. Aversa, M. Springenberg, M. Detzel, S. Ermon, S. Nakajima, R. Murray-Smith, S. Lapuschkin, C. Knochenhauer, L. Oala, W. Samek (2023). Generative Fractional Diffusion Models. NeurIPS 2023 Workshop on Diffusion Models.

Simon León Krug, O. Anatole von Lilienfeld (2023). Generalized Alchemical Integral Transform and the multi-electron atom energy.

arXiv URL

Johanna Vielhaben, Sebastian Lapuschkin, Grégoire Montavon, Wojciech Samek (2023). Explainable AI for Time Series via Virtual Inspection Layers.

arXiv

Hassan El-Hajj, Oliver Eberle, Anika Merklein, Anna Siebold, Noga Shlomi, Jochen Büttner, Julius Martinetz, Klaus-Robert Müller, Grégoire Montavon, Matteo Valleriani (2023). Explainability and Transparency in the Realm of Digital Humanities: Toward a Historian XAI. International Journal of Digital Humanities.

DOI

Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi (2023). Drift Forensics of Malware Classifiers. Proc. of the ACM Workshop on Artificial Intelligence and Security (AISec).

K. ~A. Nicoli, C. ~J. Anders, T. Hartung, K. Jansen, P. Kessel, S. Nakajima (2023). Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories. Physical Review D.

Eike Middell, Samuel Montero-Hernandez, David Boas, Alexander von Lühmann (2023). Cedalion: A software framework for the analysis of multimodal fNIRS in naturalistic environments. Proc. of the first Neuroscience of the Everyday World coference.

Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S Nagarajan (2023). Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-rank Noise. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

DOI

Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan (2023). Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Transactions on Medical Imaging.

DOI

Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan (2023). Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Transactions on Medical Imaging.

DOI

Jonas Lederer, Michael Gastegger, Kristof T Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver Thorsten Unke (2023). Automatic identification of chemical moieties. Physical Chemistry Chemical Physics.

Simon Letzgus, Klaus-Robert Müller (2023). An explainable AI framework for robust and transparent data-driven wind turbine power curve models. Energy and AI.

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Stephen Tucker, Jay Dubb, Sreekanth Kura, Alexander von Lühmann, Robert Franke, Jörn M. Horschig, Samuel Powell, Robert Oostenveld, Michael Lührs, Édouard Delaire, Zahra M. Aghajan, Hanseok Yun, Meryem A. Yücel, Qianqian Fang, Theodore J. Huppert, Blaise B. Frederick, Luca Pollonini, David Boas, Robert Luke (2022). Introduction to the shared near infrared spectroscopy format. Neurophotonics.

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Tom L. Kaufmann, Marina Petkovic, Thomas B. K. Watkins, Emma C. Colliver, Sofya Laskina, Nisha Thapa, Darlan C. Minussi, Nicholas Navin, Charles Swanton, Peter Van Loo, Kerstin Haase, Maxime Tarabichi, Roland F. Schwarz (2022). MEDICC2: Whole-Genome Doubling Aware Copy-Number Phylogenies for Cancer Evolution. Genome Biology.

DOI

L Yang, D Grosenick, H Wabnitz, Alexander von Lühmann (2022). Towards the integration of CW fNIRS and absolute oximetry: A proof of concept. Proc. Biennial Meeting of the Society for fNIRS 2022.

C Bartkowski, A Nandori, Alexander von Lühmann, Christoph Schmitz (2022). Towards a fully integrated Smart Textile patch-based cap for multi-distance CW fNIRS whole-head imaging. Proc. Biennial Meeting of the Society for fNIRS 2022.

Yuanyuan Gao, De’Ja Rogers, Alexander von Lühmann, Antonio Ortega-Martinez, David A Boas, Meryem Yücel (2022). Short-separation Regression Incorporated Diffuse Optical Tomography (SS-DOT). Proc. Biennial Meeting of the Society for fNIRS 2022.

W J O’Brien, A Ortega-Martinez, D Rogers, M A Yücel, A von Lühmann, S Kiran, A Cronin-Golomb, T Ellis, D A Boas, B Zimmermann (2022). NinjaNIRS 2022: Whole-Head, High-Density Wearable fNIRS with EEG Co-Localization. Proc. Biennial Meeting of the Society for fNIRS 2022.

E J Braun, E Carpenter, Y Gao, A Cronin-Golomb, T Ellis, D C Somers, A von Lühmann, M Yücel, D A Boas, S Kiran (2022). Neuroscience in the everyday world: Brain correlates of naturalistic discourse in individuals with aphasia. Proc. Biennial Meeting of the Society for fNIRS 2022.

D Rogers, Y Gao, D A Boas, A Cronin-Golomb, T D Ellis, S Kiran, D C Somers, Alexander von Lühmann, Meryem Yücel (2022). Fast and slow movement-related artifacts in fNIRS signal: what is a viable solution?. Proc. Biennial Meeting of the Society for fNIRS 2022.

A von Lühmann, A Blickensdörfer, M Kaffes, C Schmitz, H Audebert (2022). Exploration of whole-head CW fNIRS-based intracranial hemorrhage detection: progress and challenges. Proc. Biennial Meeting of the Society for fNIRS 2022.

Alexander von Lühmann, Yuanyuan Gao, Sreekanth Kura, Bernhard Zimmermann, Meryem Yücel, David A Boas (2022). Can the fNIRS community design a standard cap layout for uniform whole-head HD fNIRS coverage? A discussion. Proc. Biennial Meeting of the Society for fNIRS 2022.

Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, Konrad Rieck (2022). Dos and Don'ts of Machine Learning in Computer Security. Proc. of the USENIX Security Symposium.

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Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf (2022). XAI for Transformers: Better Explanations through Conservative Propagation. Proceedings of the 39th International Conference on Machine Learning.

Jan Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson (2022). Equivariance versus Augmentation for Spherical Images. Proceedings of the 39th International Conference on Machine Learning.

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Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima (2022). Efficient Computation of Higher-Order Subgraph Attribution via Message Passing. Proceedings of the 39th International Conference on Machine Learning.

Philipp Keyl, Michael Bockmayr, Daniel Heim, Gabriel Dernbach, Grégoire Montavon, Klaus-Robert Müller, Frederick Klauschen (2022). Patient-level proteomic network prediction by explainable artificial intelligence. npj Precision Oncology.

DOI URL

Antonio Ortega-Martinez, Alexander von Lühmann, Parya Farzam, De’Ja Rogers, Emily M. Mugler, David A. Boas, Meryem A. Yücel (2022). Multivariate Kalman filter regression of confounding physiological signals for real-time classification of fNIRS data. Neurophotonics.

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Ludwig Winkler, Klaus-Robert Müller, Huziel E Sauceda (2022). High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks. Machine Learning: Science and Technology.

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Lukas Muttenthaler, Charles Y Zheng, Patrick McClure, Robert A Vandermeulen, Martin N Hebart, Francisco Pereira (2022). VICE: Variational Interpretable Concept Embeddings. Advances in Neural Information Processing Systems.

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Lukas Muttenthaler, Charles Yang Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N Hebart, Francisco Pereira (2022). VICE: Variational Interpretable Concept Embeddings. Advances in Neural Information Processing Systems, 2022.

Ann-Kathrin Dombrowski, Christopher J Anders, Klaus-Robert Müller, Pan Kessel (2022). Towards robust explanations for deep neural networks. Pattern Recognition.

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Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon (2022). Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Processing Magazine.

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Christian Wressnegger, Delphine Reinhardt, Thomas Barber, Bernhard C. Witt, Daniel Arp, Zoltan Mann (2022). Sicherheit 2022, Sicherheit, Schutz und Zuverlässigkeit, Konferenzband der 11. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft für Informatik e.V. (GI), 5.-8. April 2022, Karlsruhe. Gesellschaft für Informatik e.V..

Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2022). Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. arXiv.

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Marcel F. Langer, Alex Goeßmann, Matthias Rupp (2022). Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning. npj Computational Materials.

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Simon León Krug, Guido Falk von Rudorff, O. Anatole von Lilienfeld (2022). Relative energies without electronic perturbations via alchemical integral transform. The Journal of Chemical Physics.

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Stefan Czybik, Daniel Arp, Konrad Rieck (2022). Quantifying the Risk of Wormhole Attacks on Bluetooth Contact Tracing. CODASPY ‘22: Twelveth ACM Conference on Data and Application Security and Privacy, Baltimore, MD, USA, April 24 - 27, 2022.

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Stefan Blücher, Johanna Vielhaben, Nils Strodthoff (2022). PredDiff: Explanations and interactions from conditional expectations. Artificial Intelligence.

Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel (2022). Path-Gradient Estimators for Continuous Normalizing Flows. Proceedings of the 39th International Conference on Machine Learning.

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K. Bykov, A. Hedström, S. Nakajima, M. Höhne (2022). NoiseGrad---Enhancing Explanations by Introducing Stochasticity to Model Weights. Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022).

Walker Joseph O’Brien, Bernhard Zimmerman, Antonio Martinez, Robert Bing, Parya Farzam, De’Ja Rogers, Alexander von Lühmann, David Boas (2022). NinjaNIRS 2021: Continued Progress towards Whole Head, High Density fNIRS. Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN).

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Vera Wesselkamp, Konrad Rieck, Daniel Arp, Erwin Quiring (2022). Misleading Deep-Fake Detection with GAN Fingerprints. 43rd IEEE Security and Privacy, SP Workshops 2022, San Francisco, CA, USA, May 22-26, 2022.

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Pattarawat Chormai, Yi Pu, Haoyu Hu, Simon E. Fisher, Clyde Francks, Xiang-Zhen Kong (2022). Machine learning of large-scale multimodal brain imaging data reveals neural correlates of hand preference. NeuroImage.

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Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S Nagarajan, Stefan Haufe (2022). Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models. bioRxiv.

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Niklas W. A. Gebauer, Michael Gastegger, Stefaan S. P. Hessmann, Klaus-Robert Müller, Kristof T. Schütt (2022). Inverse design of 3d molecular structures with conditional generative neural networks. Nature Communications.

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Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon (2022). Higher-Order Explanations of Graph Neural Networks via Relevant Walks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel (2022). Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL divergence for Normalizing Flows. Machine Learning: Science and Technology.

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Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin (2022). Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion.

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Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft (2022). Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Transactions on Machine Learning Research.

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Sarah Barber, Luiz Andre Moyses Lima, Yoshiaki Sakagami, Julian Quick, Effi Latiffianti, Yichao Liu, Riccardo Ferrari, Simon Letzgus, Xujie Zhang, Florian Hammer (2022). Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study. Energies.

Chang Cai, Leighton Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S Nagarajan (2022). Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage.

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Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon (2022). Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. arXiv.

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Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel (2022). Diffeomorphic Counterfactuals with Generative Models. arXiv.

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Antonio Ortega-Martinez, Alexander von Lühmann, David A. Boas, Meryem A. Yücel (2022). Closed Loop Feedback fNIRS Brain Computer Interface for Increasing Classification Accuracy in a Left Versus Right Hand Movement Task. Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN).

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Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller, Alexandre Tkatchenko (2022). BIGDML---Towards accurate quantum machine learning force fields for materials. Nature Communications.

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Jonas Lederer, Michael Gastegger, Kristof T Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T Unke (2022). Automatic Identification of Chemical Moieties.

arXiv

Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela (2022). Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields. The Journal of Physical Chemistry Letters.

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Ivo Daniel, Jorge Pesantez, Simon Letzgus, Mohammad Ali Khaksar Fasaee, Faisal Alghamdi, Emily Berglund, G Mahinthakumar, Andrea Cominola (2022). A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks. Journal of Water Resources Planning and Management.

Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft (2021). Learning Interpretable Concept Groups in CNNs. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21.

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Lucas Deecke, Lukas Ruff, Robert A. Vandermeulen, Hakan Bilen (2021). Transfer-Based Semantic Anomaly Detection. Proceedings of the 38th International Conference on Machine Learning.

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Kristof Schütt, Oliver Unke, Michael Gastegger (2021). Equivariant message passing for the prediction of tensorial properties and molecular spectra. Proceedings of the 38th International Conference on Machine Learning.

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Alexander von Lühmann, Yilei Zheng, Antonio Ortega-Martinez, Swathi Kiran, David C. Somers, Alice Cronin-Golomb, Louis N. Awad, Terry D. Ellis, David A. Boas, Meryem A. Yücel (2021). Toward Neuroscience of the Everyday World (NEW) using functional near-infrared spectroscopy. Current Opinion in Biomedical Engineering.

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S. Agarwal, N. Tosi, P. Kessel, S. Padovan, D. Breuer, G. Montavon (2021). Toward Constraining Mars' Thermal Evolution Using Machine Learning. American Geophysical Union (AGU).

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Antonio Ortega-Martinez, Alexander von Lühmann, Meryem A. Yücel, Parya Farzam, De’Ja Rogers, David A. Boas (2021). Real-time regression and classification of functional near infrared spectroscopy signals acquired during motor tasks. Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics.

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Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan Nagarajan, Stefan Haufe (2021). Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework. NeuroImage.

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Lukas Muttenthaler, Martin N. Hebart (2021). THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks. Frontiers in Neuroinformatics.

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Jan Malte Hilgefort, Daniel Arp, Konrad Rieck (2021). Spying through Virtual Backgrounds of Video Calls. AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, Virtual Event, Republic of Korea, 15 November 2021.

DOI URL

Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller (2021). SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects. Nature Communications.

DOI URL

Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin (2021). Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR.

URL

V. Srinivasan, C. Rohrer, A. Marban, K. -R. Müller, W. Samek, S. Nakajima (2021). Robustifying Models Against Adversarial Attacks by Langevin Dynamics. Neural Networks.

Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S Nagarajan (2021). Robust estimation of noise for electromagnetic brain imaging with the Champagne algorithm. NeuroImage.

DOI

David Lassner, Julius Coburger, Clemens Neudecker, Anne Baillot (2021). Publishing an OCR ground truth data set for reuse in an unclear copyright setting. Two case studies with legal and technical solutions to enable a collective OCR ground truth data set effort. Zeitschrift für digitale Geisteswissenschaften.

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Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek (2021). Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognition.

Julia Westermayr, Michael Gastegger, Kristof T Schütt, Reinhard J Maurer (2021). Perspective on integrating machine learning into computational chemistry and materials science. The Journal of Chemical Physics.

Surjo R. Soekadar, Simon H. Kohl, Masahito Mihara, Alexander von Lühmann (2021). Optical brain imaging and its application to neurofeedback. NeuroImage: Clinical.

DOI URL

Jesús N. Pedroza-Montero, Ignacio L. Garzón, Huziel E. Sauceda (2021). On the forbidden graphene's ZO (out-of-plane optic) phononic band-analog vibrational modes in fullerenes. Communications Chemistry.

DOI URL

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan Nagarajan, Stefan Haufe (2021). Novel Techniques for Noise Estimation in Electromagnetic Brain Source Imaging. International Journal of Bioelectromagnetism.

Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, others (2021). Morphological and molecular breast cancer profiling through explainable machine learning. Nature Machine Intelligence.

Jannik Wolff, Tassilo Klein, Moin Nabi, Rahul G Krishnan, Shinichi Nakajima (2021). Mixture-of-experts VAEs can disregard variation in surjective multimodal data. NeurIPS, Bayesian deep learning workshop.

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K. ~A. Nicoli, C. ~J. Anders, L. Funcke, T. Hartung, K. Jansen, P. Kessel, S. Nakajima, P. Stornati (2021). Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse. The 38th International Symposium on Lattice Field Theory (LATTICE2021).

Michael Gastegger, Kristof T Schütt, Klaus-Robert Müller (2021). Machine learning of solvent effects on molecular spectra and reactions. Chemical science.

Maximilian Leitheiser, David Capper, Philipp Seegerer, Annika Lehmann, Ulrich Schüller, Klaus-Robert Müller, Frederick Klauschen, Philipp Jurmeister, Michael Bockmayr (2021). Machine Learning Models Predict the Primary Sites of Head and Neck Squamous Cell Carcinoma Metastases Based on DNA Methylation. The Journal of pathology.

Oliver T. Unke, Stefan Chmiela, Huziel E. Sauceda, Michael Gastegger, Igor Poltavsky, Kristof T. Schütt, Alexandre Tkatchenko, Klaus-Robert Müller (2021). Machine Learning Force Fields. Chemical Reviews.

DOI URL

Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon (2021). Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR.

Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller (2021). Forecasting industrial aging processes with machine learning methods. Computers & Chemical Engineering.

Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller (2021). Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE.

Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller (2021). Explainable Deep One-Class Classification. International Conference on Learning Representations.

URL

Kim A Nicoli, Christopher J Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati (2021). Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. Physical review letters.

Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe (2021). Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. Thirty-Fifth Conference on Neural Information Processing Systems.

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Huziel E. Sauceda, Valentin Vassilev-Galindo, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko (2021). Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature. Nature Communications.

DOI URL

Ann-Kathrin Dombrowski, Jan E Gerken, Pan Kessel (2021). Diffeomorphic Explanations with Normalizing Flows. ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models.

Robert A. Vandermeulen, Antoine Ledent (2021). Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation. Advances in Neural Information Processing Systems.

URL

Meryem A. Yücel, Alexander von Lühmann, Felix Scholkmann, Judit Gervain, Ippeita Dan, Hasan Ayaz, David Boas, Robert J. Cooper, Joseph Culver, Clare E. Elwell, Adam Eggebrecht, Maria A. Franceschini, Christophe Grova, Fumitaka Homae, Frédéric Lesage, Hellmuth Obrig, Ilias Tachtsidis, Sungho Tak, Yunjie Tong, Alessandro Torricelli, Heidrun Wabnitz, Martin Wolf (2021). Best practices for fNIRS publications. Neurophotonics.

DOI URL

David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima (2021). Automatic Identification of Types of Alterations in Historical Manuscripts. Digital Humanities Quarterly.

URL

Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller (2021). A Unifying Review of Deep and Shallow Anomaly Detection. Proceedings of the IEEE.

DOI

Rajendra P. Joshi, Niklas W. A. Gebauer, Mridula Bontha, Mercedeh Khazaieli, Rhema M. James, James B. Brown, Neeraj Kumar (2021). 3D-Scaffold: A Deep Learning Framework to Generate 3D Coordinates of Drug-like Molecules with Desired Scaffolds. J. Phys. Chem. B.

Hannah Marienwald, Jean-Baptiste Fermanian, Gilles Blanchard (2021). High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding . Proceedings of The 24th International Conference on Artificial Intelligence and Statistics.

URL

Alexander von Lühmann, Xinge Li, Natalie Gilmore, David A. Boas, Meryem A. Yücel (2020). Open Access Multimodal fNIRS Resting State Dataset With and Without Synthetic Hemodynamic Responses. Frontiers in Neuroscience.

DOI URL

S Agarwal, N Tosi, D Breuer, S Padovan, P Kessel, G Montavon (2020). A machine-learning-based surrogate model of Mars' thermal evolution. Oxford University Press (OUP).

DOI URL

Alexander von Lühmann, Xinge Li, Klaus-Robert Müller, David A. Boas, Meryem A. Yücel (2020). Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis. NeuroImage.

DOI URL

Alexander von Lühmann, Antonio Ortega-Martinez, David A. Boas, Meryem Ayşe Yücel (2020). Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective. Frontiers in Human Neuroscience.

DOI URL

Alexander von Lühmann, Bernhard B. Zimmermann, Antonio Ortega-Martinez, Nathan Perkins, Meryem A. Yücel, David A. Boas (2020). Towards Neuroscience in the Everyday World: Progress in wearable fNIRS instrumentation and applications. Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN).

DOI URL

Jacob Kauffmann, Klaus-Robert Müller, Grégoire Montavon (2020). Towards explaining anomalies: A deep Taylor decomposition of one-class models. Pattern Recognition.

DOI URL

M. Kohlbrenner, A. Bauer, S. Nakajima, A. Binder, W. Samek, S. Lapuschkin (2020). Towards Best Practice in Explaining Neural Network Decisions with LRP. Proceedings of International Joint Conference on Neural Networks (IJCNN2020).

Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller (2020). The Clever Hans Effect in Anomaly Detection. CoRR.

Franziska Horn, Robert Pack, Michael Rieger (2020). The autofeat Python Library for Automatic Feature Engineering and Selection. Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019.

DOI

Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder (2020). Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. Scientific reports.

Mihail Bogojeski, Leslie Vogt-Maranto, Mark E Tuckerman, Klaus-Robert Müller, Kieron Burke (2020). Quantum chemical accuracy from density functional approximations via machine learning. Nature communications.

A. Bauer, S. Nakajima, N. Görnitz, K. -R. Müller (2020). Optimizing for Measure of Performance in Max-Margin Parsing. IEEE Transactions on Neural Networks and Learning Systems.

Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S Nagarajan (2020). Noise Learning in Empirical Bayesian Source Reconstruction Algorithms for Electromagnetic Brain Imaging. The Organization for Human Brain Mapping (OHBM).

Stephanie Brandl, Benjamin Blankertz (2020). Motor Imagery under Distraction - An open access BCI dataset. frontneurosci.

DOI URL

Huziel E. Sauceda, Michael Gastegger, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko (2020). Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields. The Journal of Chemical Physics.

DOI URL

Philipp Baumeister, Sebastiano Padovan, Nicola Tosi, Grégoire Montavon, Nadine Nettelmann, Jasmine MacKenzie, Mareike Godolt (2020). Machine-learning Inference of the Interior Structure of Low-mass Exoplanets. American Astronomical Society.

DOI URL

Ali Hashemi, Chang Cai, Klaus-Robert Müller, Srikantan S Nagarajan, Stefan Haufe (2020). Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging. Thirty-Forth Conference on Neural Information Processing Systems (NeurIPS), Medical Imaging meets NeurIPS (Med-NeurIPS) Workshop.

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Grégoire Montavon (2020). Introduction to Neural Networks. Springer International Publishing.

DOI URL

Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller (2020). Interpretable deep neural network to predict estrogen receptor status from haematoxylin-eosin images. Artificial Intelligence and Machine Learning for Digital Pathology.

Waleed Mustafa, Robert A Vandermeulen, Marius Kloft (2020). Input Hessian Regularization of Neural Networks. International Conference on Machine Learning: Workshop on Beyond First Order Methods in Machine Learning.

Robert A Vandermeulen (2020). Improving nonparametric density estimation with tensor decompositions. arXiv preprint arXiv:2010.02425.

Kateryna Melnyk, Stefan Klus, Grégoire Montavon, Tim O. F. Conrad (2020). GraphKKE: graph Kernel Koopman embedding for human microbiome analysis. Appl. Netw. Sci..

Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel (2020). Fairwashing explanations with off-manifold detergent. Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event.

URL

Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan Nagarajan, Stefan Haufe (2020). Electromagnetic Brain Imaging using Sparse Bayesian Learning – Noise Learning and Model Selection. The Organization for Human Brain Mapping (OHBM).

Alexander Ritchie, Robert A Vandermeulen, Clayton Scott (2020). Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations. Advances in Neural Information Processing Systems.

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S. Letzgus (2020). Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour models. Wind Energy Science.

DOI URL

Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon (2020). Building and Interpreting Deep Similarity Models. IEEE Transactions on Pattern Analysis and Machine Intelligence.

DOI

V. Srinivasan, K. -R. Müller, W. Samek, S. Nakajima (2020). Benign Examples: Imperceptible changes can enhance image translation performance. Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020).

K. ~A. Nicoli, S. Nakajima, N. Strodthoff, W. Samek, K. -R. Müller, P. Kessel (2020). Asymptotically Unbiased Estimation of Physical Observables with Neural Samplers. Physical Review E.

S. Schwarzmann, C. ~C. Marquezan, R. Trivisonno, S. Nakajima, T. Zinner (2020). Accuracy vs. Cost Trade-off for Machine Learning Based QoE Estimation in 5G Networks. Proceedings of IEEE International Conference on Communications (ICC2020).

Robert A Vandermeulen, René Saitenmacher, Alexander Ritchie (2020). A Proposal for Supervised Density Estimation. NeurIPS Pre-Registration Workshop.

M Gastegger, A McSloy, M Luya, KT Schütt, RJ Maurer (2020). A deep neural network for molecular wave functions in quasi-atomic minimal basis representation. The Journal of Chemical Physics.

Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adalı (2019). A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage.

DOI URL

S. Nakajima, K. Watanabe, M. Sugiyama (2019). Variational Bayesian Learning Theory. Cambridge University Press.

Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller (2019). Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. Nature Communications.

DOI URL

KT Schütt, M Gastegger, A Tkatchenko, KR Müller, RJ Maurer (2019). Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctions. CoRR.

URL

CJ Anders, G Montavon, W Samek, KR Müller (2019). Understanding Patch-Based Learning of Video Data by Explaining Predictions. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

URL

W Samek, KR Müller (2019). Towards Explainable Artificial Intelligence. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

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Niklas Gebauer, Michael Gastegger, Kristof Schütt (2019). Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules. Advances in Neural Information Processing Systems 32.

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Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek (2019). Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019.

DOI URL

S Chmiela, HE Sauceda, I Poltavsky, KR Müller, A Tkatchenko (2019). sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Computer Physics Communications.

URL

Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft (2019). Self-attentive, multi-context one-class classification for unsupervised anomaly detection on text. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

KT Schütt, Pan Kessel, Michael Gastegger, KA Nicoli, Alexandre Tkatchenko, K-R M\l̈ler (2019). SchNetPack: A Deep Learning Toolbox For Atomistic Systems. Journal of chemical theory and computation.

P Wagner, JP Morath, A Zychlinsky, KR Müller, W Samek (2019). Rotation Invariant Clustering of 3D Cell Nuclei Shapes*. 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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V. Srinivasan, A. Marban, K. ~R. Müller, W. Samek, S. Nakajima (2019). Robustifying Models Against Adversarial Attacks by Langevin Dynamics. ICML Workshop on Uncertainty & Robustness in Deep Learning.

F. Sattler, S. Wiedemann, K. -R. Müller, W. Samek (2019). Robust and Communication-Efficient Federated Learning from Non-IID Data. CoRR.

arXiv URL

M Hägele, P Seegerer, S Lapuschkin, M Bockmayr, W Samek, F Klauschen, KR Müller, A Binder (2019). Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR.

KT Schütt, M Gastegger, A Tkatchenko, KR Müller (2019). Quantum-Chemical Insights from Interpretable Atomistic Neural Networks. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

URL

A. Bauer, S. Nakajima, N. Görnitz, K. -R. Müller (2019). Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS2019).

JT Zhou, IW Tsang, SS Ho, KR Müller (2019). N-ary decomposition for multi-class classification. Machine Learning.

URL

HE Sauceda, S Chmiela, I Poltavsky, KR Müller, A Tkatchenko (2019). Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces. The Journal of Chemical Physics.

URL

Philipp Jurmeister, Michael Bockmayr, Philipp Seegerer, Teresa Bockmayr, Denise Treue, Grégoire Montavon, Claudia Vollbrecht, Alexander Arnold, Daniel Teichmann, Keno Bressem, others (2019). Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases. Science translational medicine.

P Jurmeister, M Bockmayr, P Seegerer, T Bockmayr, D Treue, G Montavon, C Vollbrecht, A Arnold, D Teichmann, K Bressem, U Schüller, M von Laffert, KR Müller, D Capper, F Klauschen (2019). Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases. Science Translational Medicine.

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G Montavon, A Binder, S Lapuschkin, W Samek, KR Müller (2019). Layer-Wise Relevance Propagation: An Overview. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

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Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans (2019). iNNvestigate neural networks!. Journal of Machine Learning Research.

URL

G Montavon (2019). Gradient-Based Vs. Propagation-Based Explanations: An Axiomatic Comparison. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

URL

J Kauffmann, M Esders, G Montavon, W Samek, KR Müller (2019). From Clustering to Cluster Explanations via Neural Networks. CoRR.

arXiv URL

Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel (2019). Explanations can be manipulated and geometry is to blame. Advances in Neural Information Processing Systems 32.

F Horst, S Lapuschkin, W Samek, KR Müller, WI Schöllhorn (2019). Explaining the unique nature of individual gait patterns with deep learning. Scientific Reports.

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Leila Arras, José Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek (2019). Explaining and Interpreting LSTMs. Explainable AI: Interpreting, Explaining and Visualizing Deep Learning.

DOI URL

KR Müller (2019). Explainable Deep Learning for Analysing Brain Data. 2019 7th International Winter Conference on Brain-Computer Interface (BCI).

URL

Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller (2019). Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Springer.

Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek (2019). Evaluating Recurrent Neural Network Explanations. Proceedings of the ACL'19 Workshop on BlackboxNLP.

S Bosse, S Becker, KR Müller, W Samek, T Wiegand (2019). Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network. Digital Signal Processing.

URL

C Vidaurre, AR Murguialday, S Haufe, M Gómez, KR Müller, VV Nikulin (2019). Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. NeuroImage.

URL

V Srinivasan, A Marban, KR Müller, W Samek, S Nakajima (2019). Defense Against Adversarial Attacks by Langevin Dynamics.

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L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, M Kloft (2019). Deep Semi-Supervised Anomaly Detection. CoRR.

arXiv URL

S Iravani, TOF Conrad (2019). Deep Learning for Proteomics Data for Feature Selection and Classification. Machine Learning and Knowledge Extraction.

URL

Ali Hashemi, Hector Andrade Loarca, Gitta Kutyniok, Stefan Haufe, Klaus-Robert Müller (2019). Deep Brain Source Imaging: An LSTM-inspired Approach for EEG Source Localization based on Sparse Bayesian Learning. Signal Processing with Adaptive Sparse Structured Representations (SPARS).

HE Sauceda, S Chmiela, I Poltavsky, KR Müller, A Tkatchenko (2019). Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights. CoRR.

arXiv

S Wiedemann, KR Müller, W Samek (2019). Compact and Computationally Efficient Representation of Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.

URL

Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima (2019). Comment on\" Solving Statistical Mechanics Using VANs\": Introducing saVANt-VANs Enhanced by Importance and MCMC Sampling. arXiv preprint arXiv:1903.11048.

K Nicoli, P Kessel, N Strodthoff, W Samek, KR Müller, S Nakajima (2019). Comment on ''Solving Statistical Mechanics Using VANs'': Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR.

arXiv URL

F. Sattler, K. -R. Müller, W. Samek (2019). Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. CoRR.

arXiv URL

G Schwenk, R Pabst, KR Müller (2019). Classification of structured validation data using stateless and stateful features. Computer Communications.

URL

C Vidaurre, G Nolte, IEJ de Vries, M Gómez, TW Boonstra, KR Müller, A Villringer, VV Nikulin (2019). Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets. NeuroImage.

URL

V. Srinivasan, E. Kuruoglu, K. -R. Müller, W. Samek, S. Nakajima (2019). Black-Box Decision based Adversarial Attack with Symmetric Alpha-stable Distribution. Proceedings of the European Signal Processing Conference (EUSIPCO2019).

V Srinivasan, EE Kuruoglu, KR Müller, W Samek, S Nakajima (2019). Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution. CoRR.

arXiv URL

Lea Helmers, Franziska Horn, Franziska Biegler, Tim Oppermann, Klaus-Robert Müller (2019). Automating the search for a patent's prior art with a full text similarity search. PLoS ONE.

DOI URL

S Redyuk (2019). Automated Documentation of End-to-End Experiments in Data Science. 2019 IEEE 35th International Conference on Data Engineering (ICDE).

URL

A von Lühmann, Z Boukouvalas, KR Müller, T Adali (2019). A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage.

URL

Daniel Heim, Grégoire Montavon, Peter Hufnagl, Klaus-Robert Müller, Frederick Klauschen (2018). Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers. Genome Medicine.

DOI URL

S. Kaltenstadler, S. Nakajima, K. -R. Müller, W. Samek (2018). Wasserstein Stationary Subspace Analysis. IEEE Journal of Selected Topics in Signal Processing.

Jacob Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz (2018). Unsupervised Detection and Explanation of Latent-class Contextual Anomalies. CoRR.

arXiv URL

N. Görnitz, L. ~A. Lima, L. ~E. Varella, K. -R. Müller, S. Nakajima (2018). Transductive Regression for Data with Latent Dependency Structure. IEEE Transactions on Neural Networks and Learning Systems.

Stefan Chmiela, Huziel E. Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko (2018). Towards exact molecular dynamics simulations with machine-learned force fields. Nature Communications.

DOI URL

N. Görnitz, L. ~A. Lima, K. -R. Müller, M. Kloft, S. Nakajima (2018). Support Vector Data Descriptions and K-means Clustering: One Class?. IEEE Transactions on Neural Networks and Learning Systems.

Laura Rieger, Pattarawat Chormai, Grégoire Montavon, Lars Kai Hansen, Klaus-Robert Müller (2018). Structuring Neural Networks for More Explainable Predictions. Explainable and Interpretable Models in Computer Vision and Machine Learning.

DOI URL

Jayeoung Shin, Alexander von Lühmann, Do-Won Kim, Jan Mehnert, Han-Jeong Hwang, Klaus-Robert Müller (2018). Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset. Scientific Data.

DOI

W. Pronobis, D. Panknin, J. Kirschnick, V. Srinivasan, W. Samek, V. Markl, M. Kaul, K. -R. Müller, S. Nakajima (2018). Sharing Hash Codes for Multiple Purposes. Japanese Journal of Statistics and Data Science.

Wiktor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima (2018). Sharing hash codes for multiple purposes. Japanese Journal of Statistics and Data Science.

Frederick Klauschen, K-R Müller, Alexander Binder, Michael Bockmayr, M Hägele, P Seegerer, Stephan Wienert, Giancarlo Pruneri, S De Maria, S Badve, others (2018). Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning. Seminars in cancer biology.

Kristof T Schütt, Huziel E Sauceda, P-J Kindermans, Alexandre Tkatchenko, K-R Müller (2018). SchNet--A deep learning architecture for molecules and materials. The Journal of Chemical Physics.

Franziska Horn, Klaus-Robert Müller (2018). Predicting Pairwise Relations with Neural Similarity Encoders. Bulletin of the Polish Academy of Sciences: Technical Sciences.

DOI

Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller (2018). Methods for interpreting and understanding deep neural networks. Digital Signal Processing.

DOI URL

Pieter-Jan Kindermans, Kristof T Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne (2018). Learning how to explain neural networks: PatternNet and PatternAttribution. 6th International Conference on Learning Representations.

Ali Hashemi, Stefan Haufe (2018). Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. 2018 26th European Signal Processing Conference (EUSIPCO).

DOI URL

Niklas W. A. Gebauer, Michael Gastegger, Kristof T. Schütt (2018). Generating equilibrium molecules with deep neural networks. CoRR.

arXiv URL

S Wiedemann, A Marban, KR Müller, W Samek (2018). Entropy-Constrained Training of Deep Neural Networks.

URL

Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, Marius Kloft (2018). Deep One-Class Classification. International Conference on Machine Learning (ICML).

DOI URL

Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek (2018). Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. IEEE Trans. Image Processing.

DOI URL

Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc Le (2018). Backprop Evolution. ICML 2018 AutoML Workshop.

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Axel Flinth, Ali Hashemi (2018). Approximate Recovery of Initial Point-like and Instantaneous Sources from Coarsely Sampled Thermal Fields via Infinite-Dimensional Compressed Sensing. 2018 26th European Signal Processing Conference (EUSIPCO).

DOI URL

KA Nicoli, P Kessel and M Gastegger and KT Schütt (2018). Analysis of Atomistic Representations Using Weighted Skip-Connections.

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Alexander von Lühmann, Surjo Soekadar, Klaus-Robert Müller, Benjamin Blankertz (2017). Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017.

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Alexander von Lühmann, Surjo Soekadar, Klaus-Robert Müller, Benjamin Blankertz (2017). Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017.

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Franziska Horn (2017). Context encoders as a simple but powerful extension of word2vec. Proceedings of the 2nd Workshop on Representation Learning for NLP.

Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2017). \"What is relevant in a text document?\": An interpretable machine learning approach. PLOS ONE.

DOI URL

A von Lühmann, K-R Müller (2017). Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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A von Lühmann, K-R Müller (2017). Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert Müller (2017). M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring. IEEE Transactions on Biomedical Engineering.

DOI URL

Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert Müller (2017). M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring. IEEE Transactions on Biomedical Engineering.

DOI URL

Maximilian Alber, Julian Zimmert, Urun Dogan, Marius Kloft (2017). Distributed optimization of multi-class SVMs. PLOS ONE.

DOI URL

S. Dogadov, A. Masegosa, S. Nakajima (2017). Variational Robust Subspace Clustering with Mean Update Algorithm. ICCV Workshop on Robust Subspace Learning and Applications in Computer Vision (RSL-CV).

Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller (2017). Understanding and Comparing Deep Neural Networks for Age and Gender Classification. 2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017.

DOI URL

S. Brandl, A. von Lühmann, K. -R. Müller (2017). Towards Brain-Computer Interfaces outside the lab: new measuring devices and machine learning challenges. Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Axel Flinth, Ali Hashemi (2017). Thermal source localization through infinite-dimensional compressed sensing. arXiv preprint arXiv:1710.02016.

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S. Mandt, F. Wenzel, S. Nakajima, J. Cunningham, C. Lippert, M. Kloft (2017). Sparse Probit Linear Mixed Model. Machine Learning (ECMLPKDD 2017 Special Issue).

DOI URL

Axel Flinth, Ali Hashemi (2017). Soft Recovery in Infinite-Dimensional Compressed Sensing with Applications in Thermal Source Localization and Massive MIMO. International Matheon Conference on Compressed Sensing and its Applications (CSA).

Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller (2017). SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. Advances in Neural Information Processing Systems 30 (NIPS 2017).

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Kristof T Schütt, Farhad Arbabzadah, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko (2017). Quantum-chemical insights from deep tensor neural networks. Nature communications.

DOI URL

L. ~A. Lima, N. Görnitz, L. ~E. Varella, M. Vellascob, K. -R. Müller, S. Nakajima (2017). Porosity Estimation by Semi-supervised Learning with Sparsely Available Labeled Samples. Computers and Geosciences.

Luiz Alberto Lima, Nico Görnitz, Luiz Eduardo Varella, Marley Vellasco, Klaus-Robert Müller, Shinichi Nakajima (2017). Porosity estimation by semi-supervised learning with sparsely available labeled samples. Computers & Geosciences.

DOI URL

Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, Do-Won Kim, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Müller (2017). Open Access Dataset for EEG+ NIRS Single-Trial Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, Do-Won Kim, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Müller (2017). Open Access Dataset for EEG+ NIRS Single-Trial Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

W. Samek, S. Nakajima, M. Kawanabe, K. -R. Müller (2017). On Robust Parameter Estimation in Brain-Computer Interfacing. Journal of Neural Engineering.

Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder (2017). Object Boundary Detection and Classification with Image-Level Labels. Pattern Recognition - 39th German Conference, GCPR 2017, Basel, Switzerland, September 12-15, 2017, Proceedings.

DOI URL

Alexander von Lühmann, Jessica Addesa, Sourav Chandra, Abhijit Das, Mitsuhiro Hayashibe, Anirban Dutta (2017). Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke. Proceedings of the 8th International IEEE EMBS Conference On Neural Engineering (NER).

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J. Höner, S. Nakajima, A. Bauer, K. -R. Müller, N. Görnitz (2017). Minimizing Trust Leaks for Robust Sybil Detection. Proceedings of 34th International Conference on Machine Learning (ICML2017).

Stefan Chmiela, Alexandre Tkatchenko, Huziel E Sauceda, Igor Poltavsky, Kristof T Schütt, Klaus-Robert Müller (2017). Machine learning of accurate energy-conserving molecular force fields. Science Advances.

DOI URL

Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, Wojciech Samek (2017). Interpretable human action recognition in compressed domain. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017.

DOI URL

Jaeyoung Shin, Klaus-Robert Müller, Han-Jeong Hwang (2017). Hybrid EEG-NIRS brain-computer interface under eyes-closed condition. 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, December 12-15, 2017.

DOI URL

Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2017). Explaining Recurrent Neural Network Predictions in Sentiment Analysis. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017.

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Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, Klaus-Robert Müller (2017). Explaining nonlinear classification decisions with deep Taylor decomposition . Pattern Recognition.

DOI URL

Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller (2017). Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models. CoRR.

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Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller (2017). Evaluating the Visualization of What a Deep Neural Network Has Learned. IEEE Trans. Neural Netw. Learning Syst..

DOI URL

A. Bauer, S. Nakajima, K. -R. Müller (2017). Efficient Exact Inference with Loss Augmented Objective in Structured Learning. IEEE Transactions on Neural Networks and Learning Systems.

Axel Flinth, Ali Hashemi, Gitta Kutyniok (2017). Compressed Sensing: From Theory to Praxis. Compressive Sensing of Earth Observations.

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Sebastian Bosse, Laura Acqualagna, Wojciech Samek, Anne K Porbadnigk, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller, Thomas Wiegand (2017). Assessing perceived image quality using steady-state visual evoked potentials and spatio-spectral decomposition. IEEE Transactions on Circuits and Systems for Video Technology.

Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha (2017). An Empirical Study on The Properties of Random Bases for Kernel Methods. Advances in Neural Information Processing Systems 30 (NIPS 2017).

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Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller (2017). An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels. Journal of Machine Learning Research.

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Alexander Bauer, Mikio L. Braun, Klaus-Robert Müller (2017). Accurate Maximum-Margin Training for Parsing With Context-Free Grammars. IEEE Trans. Neural Netw. Learning Syst..

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S. Lapuschkin, A. Binder, G. Montavon, K. -R. Müller, W. Samek (2016). Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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Laura Acqualagna, Loic Botrel, Carmen Vidaurre, Andrea Kübler, Benjamin Blankertz (2016). Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface. plosone.

DOI URL

Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi (2016). Wasserstein Training of Restricted Boltzmann Machines. Advances In Neural Information Processing Systems 29.

Matthias Schultze-Kraft, Sven Dähne, Manfred Gugler, Gabriel Curio, Benjamin Blankertz (2016). Unsupervised classification of operator workload from brain signals. jneuraleng.

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Matthias Schultze-Kraft, Daniel Birman, Marco Rusconi, Carsten Allefeld, Kai Görgen, Sven D\ḧne, Benjamin Blankertz, John-Dylan Haynes (2016). The point of no return in vetoing self-initiated movements. procnatlacadsciusa.

DOI URL

Matthias Sebastian Treder, Anne K. Porbadnigk, Forooz Shahbazi, Klaus-Robert Müller, Benjamin Blankertz (2016). The LDA beamformer: optimal estimation of ERP source time series using linear discriminant analysis. NeuroImage.

DOI URL

Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2016). The Layer-wise Relevance Propagation Toolbox for Artificial Neural Networks. Journal of Machine Learning Research.

Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe, Matthias Schultze-Kraft, Irene Sturm, Marija Ušćumlić, Markus Wenzel, Gabriel Curio, Klaus M\l̈ler (2016). The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. frontneurosci.

DOI URL

S. Mandt, F. Wenzel, S. Nakajima, J. ~P. Cunningham, C. Lippert, M. Kloft (2016). Separating Sparse Signals from Correlated Noise in Binary Classification. Causation: Foundation to Application Workshop (in UAI).

Laura Naumann, Matthias Schultze-Kraft, Sven Dähne, Benjamin Blankertz (2016). Prediction of Difficulty Levels in Video Games from Ongoing EEG. Symbiotic Interaction.

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Laura B. Naumann, Matthias Schultze-Kraft, Sven Dähne, Benjamin Blankertz (2016). Prediction of difficulty levels in video games from EEG. 6th International BCI Meeting in Asilomar.

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Wojciech Samek, Duncan AJ Blythe, Gabriel Curio, Klaus-Robert Müller, Benjamin Blankertz, Vadim V Nikulin (2016). Multiscale temporal neural dynamics predict performance in a complex sensorimotor task. NeuroImage.

Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert Müller (2016). Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer. Proceedings of the Society for functional Near Infrared Spectroscopy Biennial Meeting 2016.

Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert Müller (2016). Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer. Proceedings of the Society for functional Near Infrared Spectroscopy Biennial Meeting 2016.

Alexander von Lühmann, Klaus-Robert Müller (2016). M3BA: New Technology for Mobile Hybrid BCIs. Proceedings of the 6th International Brain-Computer Interface Meeting 2016.

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Alexander von Lühmann, Klaus-Robert Müller (2016). M3BA: New Technology for Mobile Hybrid BCIs. Proceedings of the 6th International Brain-Computer Interface Meeting 2016.

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Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek (2016). Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II.

DOI URL

Alexander Binder, Sebastian Bach, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2016). Layer-Wise Relevance Propagation for Deep Neural Network Architectures. Information Science and Applications (ICISA) 2016.

DOI URL

Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2016). Identifying Individual Facial Expressions by Deconstructing a Neural Network. Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings.

DOI URL

Alexander von Lühmann (2016). Hybridization of bio-electrical and bio-optical acquisition technology using open fNIRS components. Proceedings of the DGBMT workshop biosignal processing.

S. Nakajima, M. Sugiyama, S. ~D. Babacan (2016). Handbook of Robust Low-rank and Sparse Matrix Decomposition: Applications in Image and Video Processing. CRC Press.

Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek (2016). Explaining Predictions of Non-Linear Classifiers in NLP. Proceedings of the 1st Workshop on Representation Learning for NLP.

Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz (2016). Ensembles of adaptive spatial filters increase BCI performance: an online evaluation. jneuraleng.

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Ali Hashemi, Mohammad Rostami, Ngai-Man Cheung (2016). Efficient environmental temperature monitoring using compressed sensing. 2016 Data Compression Conference (DCC).

DOI URL

Markus A Wenzel, Rafael Schultze-Kraft, Frank C Meinecke, Fabien Cardinaux, Thomas Kemp, Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz (2016). EEG-based usability assessment of 3D shutter glasses. jneuraleng.

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Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek (2016). Classification of motor imagery with distractions. 6th International BCI Meeting in Asilomar.

Stephanie Brandl, Laura Frolich, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek (2016). Brain-Computer Interfacing under Distraction: An Evaluation Study. Journal of Neural Engineering.

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Johannes Höhne, Daniel Bartz, Martin N Hebart, Klaus-Robert M\l̈ler, Benjamin Blankertz (2016). Analyzing neuroimaging data with subclasses: a shrinkage approach. NeuroImage.

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Bastian Venthur, Sven Dähne, Johannes H\ḧne, Hendrik Heller, Benjamin Blankertz (2015). Wyrm: A Brain-Computer Interface Toolbox in Python. Journal of Neuroinformatics.

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G. Müller-Putz, R. Leeb, M. Tangermann, J. H\ḧne, A.K. K\"l̈er, F. Cincotti, D. Mattia, R. Rupp, K.-R. M\"uër, J.d.R. Millan (2015). Towards Noninvasive Hybrid Brain Computer Interfaces: Framework, Practice, Clinical Application, and Beyond. Proceedings of the IEEE.

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Alexander von Lühmann, Christian Herff, Dominic Heger, Tanja Schultz (2015). Towards a wireless open source instrument: functional Near-Infrared Spectroscopy in mobile neuroergonomics and BCI applications. fronthumneurosci.

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Alexander von Lühmann, Christian Herff, Dominic Heger, Tanja Schultz (2015). Towards a wireless open source instrument: functional Near-Infrared Spectroscopy in mobile neuroergonomics and BCI applications. fronthumneurosci.

DOI URL

Wojciech Samek, Klaus-Robert Müller (2015). Tacking noise, artifacts and nonstationarity in BCI with robust divergences. Proceedings of the European Signal Processing Conference (EUSIPCO).

Juan Sebastian Castano-Candamil, Johannes Höhne, Juan-David Martinez-Vargas, Xingwei An, German Castellanos-Dominguez, Stefan Haufe (2015). Solving the EEG Inverse Problem based on Space-Time-Frequency Structured Sparsity Constraints. NeuroImage.

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Sebastian Bach, Alexander Binder, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek (2015). On Pixel-wise Explanations for Non-Linear Classifier Decisions by Layer-wise Relevance Propagation. PLOS ONE.

DOI URL

Sven Dähne, Felix Bießman, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert M\l̈ler (2015). Multivariate Machine Learning Methods for Fusing Functional Multimodal Neuroimaging Data. Proceedings of the IEEE.

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Irene Sturm, Sven Dähne, Benjamin Blankertz, Gabriel Curio (2015). Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli . plosone.

DOI URL

Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert M\l̈ler (2015). Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based Brain-Computer Interfaces. Proceedings of the IEEE.

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Laura Frolich, Irene Winkler, Klaus-Robert Müller, Wojciech Samek (2015). Investigating effects of different artefact types on Motor Imagery BCI. Conf Proc IEEE Eng Med Biol Soc (EMBC).

Luís F. Seoane, Stephan Gabler, Benjamin Blankertz (2015). Images from the mind: BCI image evolution based on rapid serial visual presentation of polygon primitives. Brain-Computer Interfaces.

DOI URL

Irene Winkler, Stefan Haufe, Anne Porbadnigk, Klaus-Robert Müller, Sven D\ḧne (2015). Identifying Granger causal relationships between neural power dynamics and variables of interest. NeuroImage.

DOI URL

Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven D\ḧne (2015). Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. International Workshop on Pattern Recognition in Neuroimaging, 2015.

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Irene Sturm, Matthias Treder, Daniel Miklody, Hendrik Purwins, Sven Dähne, Benjamin Blankertz, Gabriel Curio (2015). Extracting the neural representation of tone onsets for separate voices of ensemble music using multivariate EEG analysis. Psychomusicology: Music, Mind, and Brain.

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Dong-Ok Wong, Han-Jeong Hwang, Sven Dähne, Klaus-Robert M\l̈ler, Seong-Whan Lee (2015). Effect of Higher Frequency on the Classification of Steady State Visual Evoked Potentials. Journal of Neural Engineering.

Laura Acqualagna, Sebastian Bosse, Anne K Porbadnigk, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand, Benjamin Blankertz (2015). EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs). jneuraleng.

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S. Nakajima, R. Tomioka, M. Sugiyama, S. ~D. Babacan (2015). Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA. Journal of Machine Learning Research.

Janne Hahne, Sven Dähne, Han-Jeong Hwang, Klaus-Robert and Müller, Lucas C. Parra (2015). Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Stephanie Brandl, Johannes Höhne, Klaus-Robert M\l̈ler, Wojciech Samek (2015). Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. Proceedings of the 2015 International IEEE Conference on Neural Engineering (NER).

DOI

Stefan Haufe (2015). An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies. Conf Proc IEEE Eng Med Biol Soc.

K. Nagata, J. Kitazono, S. Nakajima, S. Eifuku, R. Tamura, M. Okada (2015). An Exhaustive Search and Stability of Sparse Estimation for Feature Selection Problem. IPSJ Transactions on Mathematical Modeling and Its Applications.

Stefan Haufe, Yu Huang, Lucas C. Parra (2015). A highly detailed FEM volume conductor model based on the ICBM152 average head template for EEG source imaging and TCS targeting. Conf Proc IEEE Eng Med Biol Soc.

H. J. Hwang, V. Y. Ferreria, D. Ulrich, T. Kilic, X. Chatziliadis, B. Blankertz, M. Treder (2015). A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids. Scientific Reports.

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Xingwei An, Johannes Höhne, Dong Ming, Benjamin Blankertz (2014). Exploring Combinations of Auditory and Visual Stimuli for Gaze-Independent Brain-Computer Interfaces. plosone.

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Sven Dähne, Niko Wilbert, Laurenz Wiskott (2014). Slow Feature Analysis of Retinal Waves Leads to V1 Complex Cells. PLoS Computational Biology.

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Wojciech Samek, Motoaki Kawanabe (2014). Robust Common Spatial Patterns by Minimum Divergence Covariance Estimator. Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on.

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K. T. Schütt, H. Glawe, F. Brockherde, A. Sanna, K. R. M\l̈ler, E. K. U. Gross (2014). How to represent crystal structures for machine learning: Towards fast prediction of electronic properties. Phys. Rev. B.

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Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert M\l̈ler (2014). Multimodal integration of electrophysiological and hemodynamic signals. Brain-Computer Interface (BCI), 2014 International Winter Workshop on.

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Johannes Höhne, Michael Tangermann (2014). Towards User-Friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm. plosone.

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Romy Lorenz, Javier Pascual, Benjamin Blankertz, Carmen Vidaurre (2014). Towards a holistic assessment of the user experience with hybrid BCIs. jneuraleng.

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Duncan A. J. Blythe, Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin (2014). The effect of linear mixing in the EEG on Hurst exponent estimation. NeuroImage.

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Michael Gaebler, Felix Bießmann, Jan-Peter Lamke, Klaus-Robert Müller, Henrik Walter, Stefan Hetzer (2014). Stereoscopic depth increases intersubject correlations of brain networks. NeuroImage.

Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes H\ḧne, Michael Tangermann, Klaus-Robert M\"l̈er, Vadim V. Nikulin (2014). SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage.

DOI URL

Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre (2014). Robust Common Spatial filters with a Maxmin Approach. Neural Computation.

DOI URL

Irene Winkler, Stephanie Brandl, Franziska Horn, Eric Waldburger, Carsten Allefeld, Michael Tangermann (2014). Robust artifactual independent component classification for BCI practitioners. Journal of Neural Engineering.

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Heung-Il Suk, Siamac Fazli, Jan Mehnert, Klaus-Robert Müller, Seong-Whan Lee (2014). Predicting BCI subject performance using probabilistic spatio-temporal filters. plosone.

Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Biessmann (2014). Parameter interpretation, regularization and source localization in multivariate linear models. Pattern Recognition in Neuroimaging, 2014 International Workshop on.

Christina Habermehl, Jens Steinbrink, Klaus-Robert Müller, Stefan Haufe (2014). Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography. Journal of Biomedical Optics.

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Sven Dähne, Vadim V. Nikulin, David Ramirez, Peter J. Schreier, Klaus-Robert M\l̈ler, Stefan Haufe (2014). Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. International Workshop on Pattern Recognition in Neuroimaging, 2014.

Stefan Haufe, Frank Meinecke, Kai Görgen, Sven D\ḧne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann (2014). On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage.

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Wojciech Samek (2014). On robust spatial filtering of EEG in nonstationary environments.

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Johannes Höhne, Elisa Mira Holz, Pit Staiger-Sälzer, Klaus-Robert M\l̈ler, Andrea K\"l̈er, Michael Tangermann (2014). Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution. plosone.

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Johannes Höhne, Benjamin Blankertz, Klaus-Robert M\l̈ler, Daniel Bartz (2014). Mean shrinkage improves the classification of ERP signals by exploiting additional label information. Proceedings of the 2014 International Workshop on Pattern Recognition in Neuroimaging.

Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe (2014). Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services: The THESEUS Program.

DOI URL

Nico Görnitz, Anne K Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio Braun, Klaus-Robert Müller, Marius Kloft (2014). Learning and Evaluation in Presence of Non-iid Label Noise. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics.

Pieter-Jan Kindermans, Michael Tangermann, Klaus-Robert Müller, Benjamin Schrauwen (2014). Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller. jneuraleng.

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Wojciech Samek, Klaus-Robert Müller (2014). Information Geometry meets BCI - Spatial filtering using divergences. Brain-Computer Interface (BCI), 2014 International Winter Workshop on.

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Sven Dähne, Vadim V. Nikulin, David Ramirez, Peter J. Schreier, Klaus-Robert M\l̈ler, Stefan Haufe (2014). Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage.

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Sven Dähne, Stefan Haufe, Felix Bießmann, Frank Meinecke, David Ramirez, Peter Schreier, Vadim Nikulin, Klaus-Robert M\l̈ler (2014). Finding brain oscillations with power dependencies in neuroimaging data. Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2014.

Stefan Haufe, Jeong-Woo Kim, Il-Hwa Kim, Andreas Sonnleitner, Michael Schrauf, Gabriel Curio, Benjamin Blankertz (2014). Electrophysiology-based detection of emergency braking intention in real-world driving. jneuraleng.

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Adrien Martel, Sven Dähne, Benjamin Blankertz (2014). EEG Predictors of Covert Vigilant Attention. jneuraleng.

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Wojciech Samek, Motoaki Kawanabe, Klaus-Robert Müller (2014). Divergence-based Framework for Common Spatial Patterns Algorithms. Biomedical Engineering, IEEE Reviews in.

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Stefan Haufe, Sven Dähne, Vadim V. Nikulin (2014). Dimensionality reduction for the analysis of brain oscillations. NeuroImage.

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Il-Hwa Kim, Jeong-Woo Kim, Stefan Haufe, Seong-Whan Lee (2014). Detection of Braking Intention in Diverse Situations during Simulated Driving based on EEG Feature Combination. jneuraleng.

Matthias S Treder, Hendrik Purwins, Daniel Miklody, Irene Sturm, Benjamin Blankertz (2014). Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification. jneuraleng.

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Sven Dähne, Janne Hahne, Paul Pawletta, Klaus-Robert M\l̈ler (2014). Boosting simultaneous and proportional myoelectric control by combining source power correlation (SPoC) and linear regression. Bernstein Conference, 2014.

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S. Nakajima, I. Sato, M. Sugiyama, K. Watanabe, H. Kobayashi (2014). Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity than MAP. Advances in Neural Information Processing Systems 27 (NIPS2014).

A Sonnleitner, M S Treder, M Simon, S Willmann, A Ewald, A Buchner, M Schrauf (2014). Analysis and Single-Trial Classification of EEG Alpha Spindles on rolonged Brake Reaction Times During Auditory Distraction in a Real Road-Driving Study. accidanalprev.

Michael Tangermann, Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller (2013). Zero Training for BCI -- Reality for BCI Systems Based on Event-Related Potentials. Proceedings BMT (Biomedizinische Technik) 2013 – Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik.

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Martijn Schreuder, Angela Riccio, Monica Risetti, Sven Dähne, Andrew Ramsey, John Williamson, Donatella Mattia, Michael Tangermann (2013). User-Centered Design in BCI - a Case Study. Artificial Intelligence in Medicine.

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Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller (2013). Transferring Subspaces Between Subjects in Brain-Computer Interfacing. ieeetransbiomedeng.

DOI

Gernot R. Müller-Putz, Martijn Schreuder, Michael Tangermann, Robert Leeb, José del R. Mill\ń (2013). The hybrid Brain-Computer Interface: a bridge to assistive technology?. Proceedings BMT (Biomedizinische Technik) 2013 – Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik.

DOI

Anne K. Porbadnigk, Matthias Sebastian Treder, Benjamin Blankertz, Jan-Niklas Antons, Robert Schleicher, Sebastian Möller, Gabriel Curio, Klaus-Robert Müller (2013). Single-trial analysis of the neural correlates of speech quality perception. jneuraleng.

Wojciech Samek, Duncan Blythe, Klaus-Robert Müller, Motoaki Kawanabe (2013). Robust Spatial Filtering with Beta Divergence. Advances in Neural Information Processing Systems 26.

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Martijn Schreuder, Johannes Höhne, Benjamin Blankertz, Stefan Haufe, Thorsten Dickhaus, Michael Tangermann (2013). Optimizing ERP Based BCI - a Systematic Evaluation of Dynamic Stopping Methods. jneuraleng.

DOI

Grégoire Montavon (2013). On layer-wise representations in deep neural networks.

Irene Winkler, Erik Waldburger, Stefan Haufe, Michael Tangermann (2013). On Classifying Artifactual Independent Components: Generalization Ability to Different Electrode Setups. Proceedings of the Fifth International Brain-Computer Interface Meeting 2013.

DOI

Carmen Vidaurre, Javier Pascual, Ander Ramos-Murguialday, Romy Lorenz, Benjamin Blankertz, Niels Birbaumer, Klaus-Robert Müller (2013). Neuromuscular electrical stimulation induced brain patterns to decode motor imagery. clinneurophysiol.

URL

Grégoire Montavon, Klaus-Robert Müller (2013). Neural Networks for Computational Chemistry: Pitfalls and Recommendations. MRS Online Proceedings Library.

URL

Wojciech Samek, Alexander Binder, Klaus-Robert Müller (2013). Multiple Kernel Learning for Brain-Computer Interfacing. Conf Proc IEEE Eng Med Biol Soc (EMBC).

DOI URL

Grégoire Montavon, Matthias Rupp, Vivekanand Gobre, Alvaro Vazquez-Mayagoitia, Katja Hansen, Alexandre Tkatchenko, Klaus-Robert Müller, O. Anatole von Lilienfeld (2013). Machine Learning of Molecular Electronic Properties in Chemical Compound Space. New Journal of Physics, Focus Issue, Novel Materials Discovery.

Sven Dähne, Frank Bießman, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert M\l̈ler (2013). Integration of Multivariate Data Streams With Bandpower Signals. IEEE Transactions on Multimedia.

DOI URL

Franziska Horn, Sven Dähne (2013). Increasing the spectral signal-to-noise ratio of common spatial patterns. 5th International BCI Meeting in Asilomar.

Arne Ewald, Forooz Shabhazi, Guido Nolte (2013). Identifying causal networks of neuronal sources from EEG/MEG data with the phase slope index: a simulation study. Biomed Tech.

DOI

Daniel Bartz, Klaus-Robert Müller (2013). Generalizing Analytic Shrinkage for Arbitrary Covariance Structures. Advances in Neural Information Processing Systems 26.

Andrea Küber, Donatelle Mattia, R\d̈iger Rupp, Michael Tangermann (2013). Facing the challenge: Bringing brain-computer interfaces to end-users. Artificial Intelligence in Medicine.

DOI

Elisa M. Holz, Claudia Zickler, Angela Riccio, Johannes Höhne, Febo Cincotti, Michael Tangermann, Sebastian Halder, Donatella Mattia, Andrea K\b̈ler (2013). Evaluation of Four Different BCI Prototypes by Severely Motor-Restricted End-Users. Proceedings of the Fifth International Brain-Computer Interface Meeting 2013.

DOI

Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe (2013). Enhanced Representation and Multi-Task Learning for Image Annotation. Computer Vision and Image Understanding.

DOI URL

Elisa Mira Holz, Johannes Höhne, Pit Staiger-Sälzer, Michael Tangermann, Andrea K\b̈ler (2013). Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. Artificial Intelligence in Medicine.

DOI

Srikanth Cherla, Hendrik Purwins, Marco Marchini (2013). Automatic Phrase Continuation from Guitar and Bass Guitar Melodies. Computer Music Journal.

Katja Hansen, Grégoire Montavon, Franziska Biegler, Siamac Fazli, Matthias Rupp, Matthias Scheffler, O. Anatole von Lilienfeld, Alexandre Tkatchenko, Klaus-Robert Müller (2013). Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies. Journal of Chemical Theory and Computation.

DOI

Grégoire Montavon, Mikio L. Braun, Tammo Krueger, Klaus-Robert Müller (2013). Analyzing Local Structure in Kernel-based Learning: Explanation, Complexity and Reliability Assessment. Signal Processing Magazine, IEEE.

URL

Maria Panteli, Hendrik Purwins (2013). A Quantitative Comparison of Chrysanthine Theory and Performance Practice of Scale Tuning, Steps, and Prominence of the Octoechos in Byzantine Chant. Journal of New Music Research.

Marius Kloft, Gilles Blanchard (2012). On the convergence rate of $ell_p$-norm multiple kernel learning. Journal of Machine Learning Research.

M. E. Thurlings, A. M. Brouwer, J. B. Van Erp, B. Blankertz, P. J. Werkhoven (2012). Does bimodal stimulus presentation increase ERP components usable in BCIs?. jneuraleng.

URL

G. Onose, C. Grozea, A. Anghelescu, C. Daia, C.J. Sinescu, A.V. Ciurea, T. Spircu, A. Mirea, I. Andone, A. Spânu, C. Popescu, S. Mihaescu, S. Fazli, M. Danóczy, F. Popescu (2012). On the feasibility of using motor imagery EEG-based brain--computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up. Spinal Cord.

DOI URL

Siamac Fazli, Jan Mehnert, Jens Steinbrink, Benjamin Blankertz (2012). Using NIRS as a predictor for EEG-based BCI performance. confprocieeeengmedbiolsoc.

Simon Scholler, Sebastian Bosse, Matthias Sebastian Treder, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand (2012). Towards a Direct Measure of Video Quality Perception using EEG. ieeetransimageprocess.

DOI URL

Wojciech Samek, Carmen Vidaurre, Klaus-Robert Müller, Motoaki Kawanabe (2012). Stationary Common Spatial Patterns for Brain-Computer Interfacing. Journal of Neural Engineering.

DOI URL

Matthias Sebastian Treder (2012). Special section on gaze-independent brain-computer interfaces (Editorial). jneuraleng.

DOI

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau, Terumasa Tokunaga, Kiyohumi Yumoto (2012). Separation of stationary and non-stationary sources with a generalized eigenvalue problem. Neural Networks.

DOI

Michael Tangermann, Klaus-Robert Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, Carsten Mehring, Kai Miller, Gernot M\l̈ler-Putz, Guido Nolte, Gert Pfurtscheller, Hubert Preissl, Gerwin Schalk, Alois Schl\"l̈, Carmen Vidaurre, Stephan Waldert, Benjamin Blankertz (2012). Review of the BCI Competition IV. frontneurosci.

DOI URL

Franz J. Kiraly, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller (2012). Regression for sets of polynomial equations. JMLR Workshop and Conference Proc. Vol. 22.

Felix Bießmann, Jens-Michalis Papaioannou, Andreas Harth, Matthias L. Jugel, Klaus-Robert Müller, Mikio Braun (2012). Quantifying Spatiotemporal Dynamics of Twitter Replies to News Feeds. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing.

Cecilia L Maeder, Claudia Sannelli, Stefan Haufe, Benjamin Blankertz (2012). Prestimulus sensorimotor rhythms influence brain-computer interface classification performance. ieeetransneuralsystrehabileng.

URL

Nico Maurice Schmidt, Benjamin Blankertz, Matthias Sebastian Treder (2012). Online detection of error-related potentials boosts the performance of mental typewriters. bmcneurosci.

DOI URL

Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe (2012). On Taxonomies for Multi-class Image Categorization. International Journal of Computer Vision.

DOI URL

Michael Tangermann, Johannes Höhne, Heiko Stecher, Martijn Schreuder (2012). No Surprise --- Fixed Sequence Event-Related Potentials for Brain-Computer Interfaces. Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE.

Grégoire Montavon, Geneviève B. Orr, Klaus-Robert Müller (2012). Neural Networks: Tricks of the Trade, Reloaded. Springer.

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Johannes Höhne, Konrad Krenzlin, Sven D\ḧne, Michael Tangermann (2012). Natural Stimuli improve Auditory BCIs with respect to Ergonomics and Performance. jneuraleng.

URL

Bastian Venthur, Benjamin Blankertz (2012). Mushu, a free- and open source BCI signal acquisition, written in Python. Conf Proc IEEE Eng Med Biol Soc.

Sven Dähne, Frank Meinecke, Stefan Haufe, Johannes H\ḧne, Michael Tangermann, Vadim Nikulin, Klaus-Robert M\"l̈er (2012). Multi-variate correlation of power spectral density. Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2012.

Marius Kloft (2012). Maschinelles Lernen mit mehreren Kernen. Ausgezeichnete Informatikdissertationen 2011. LNI D-12.

Forooz Shahbazi Avarvand, Arne Ewald, Guido Nolte (2012). Localizing True Brain Interactions from EEG and MEG Data with Subspace Methods and Modified Beamformers. Comp. Math. Methods in Medicine.

Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck (2012). Learning Stateful Models for Network Honeypots. Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence (AISEC).

Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, O. Anatole von Lilienfeld, Klaus-Robert Müller (2012). Learning Invariant Representations of Molecules for Atomization Energy Prediction. Advances in Neural Information Processing Systems 25.

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Tammo Krueger, Konrad Rieck (2012). Intelligent Defense against Malicious JavaScript Code. PIK - Praxis der Informationsverarbeitung und Kommunikation.

DOI

Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe (2012). Insights from Classifying Visual Concepts with Multiple Kernel Learning. PLoS ONE.

DOI URL

Felix Bießmann, Yusuke Murayama, Nikos K Logothetis, Klaus-Robert Müller, Frank C Meinecke (2012). Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. NeuroImage.

DOI

Javier Pascual, Romy Lorenz, Benjamin Blankertz, Carmen Vidaurre (2012). Hybrid EEG-based BCI User Interface for Action Selection. Conf Proc International Conference on NeuroRehabilitation.

Johannes Höhne, Michael Tangermann (2012). How stimulation speed affects Event-Related Potentials and BCI performance. Conf Proc IEEE Eng Med Biol Soc.

Anwesha Bhattacharyya, Felix Bießmann, Julia Veit, Robert Kretz, Gregor Rainer (2012). Functional and laminar dissociations between muscarinic and nicotinic cholinergic neuromodulation in the tree shrew primary visual cortex. European Journal of Neuroscience.

DOI

Javier Pascual, Francisco Velasco-Álvarez, Klaus-Robert Müller, Carmen Vidaurre (2012). First Study Towards Linear Control of an Upper-Limb Neuroprosthesis with an EEG-based Brain-Computer Interface. Conf Proc IEEE Eng Med Biol Soc.

URL

Duncan A. J. Blythe, Paul von Bünau, Frank C. Meinecke, Klaus-Robert M\l̈ler (2012). Feature Extraction for Change-Point Detection using Stationary Subspace Analysis.
  • IEEE Transactions on Neural Networks and Learning Systems *
.

DOI

Tammo Krueger, Danny Panknin, Mikio Braun (2012). Fast Cross-Validation via Sequential Testing. arxiv CoRR.

URL

Martijn Schreuder, Marieke E. Thurlings, Anne-Marie Brouwer, Jan B. F. van Erp, Michael Tangermann (2012). Exploring the use of direct feedback in ERP-based BCI. Conf Proc IEEE Eng Med Biol Soc.

Sulamith Schaeff, Matthias Sebastian Treder, Bastian Venthur, Benjamin Blankertz (2012). Exploring motion VEPs for gaze-independent communication. jneuraleng.

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Arne Ewald, Laura Marzetti, Filippo Zappasodi, Frank C. Meinecke, Guido Nolte (2012). Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space. NeuroImage.

DOI URL

Siamac Fazli, Jan Mehnert, Jens Steinbrink, Gabriel Curio, Arno Villringer, Klaus-Robert Müller, Benjamin Blankertz (2012). Enhanced performance by a Hybrid NIRS-EEG Brain Computer Interface. NeuroImage.

URL

Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch (2012). Efficient Training of Graph-Regularized Multitask SVMs. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases.

Melissa Quek, Johannes Höhne, Roderick Murray-Smith, Michael Tangermann (2012). Designing future BCIs: Beyond the bit rate. Towards Practical Brain-Computer Interfaces.

DOI

Grégoire Montavon, Mikio Braun, Klaus-Robert Müller (2012). Deep Boltzmann Machines as Feed-Forward Hierarchies. International Conference on Artificial Intelligence and Statistics (AISTATS).

Grégoire Montavon, Klaus-Robert Müller (2012). Deep Boltzmann Machines and the Centering Trick. Neural Networks: Tricks of the trade, Reloaded.

URL

Marieke E. Thurlings, Jan B.F. van Erp, Anne-Marie Brouwer, Benjamin Blankertz, Peter Werkhoven (2012). Control-Display Mapping in Brain-Computer Interfaces. Ergonomics.

DOI URL

Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz (2012). Common Spatial Pattern Patches: online evaluation on naive users. Conf Proc IEEE Eng Med Biol Soc.

Felix Bießmann, Jens-Michalis Papaioannou, Mikio Braun, Andreas Harth (2012). Canonical Trends: Detecting Trend Setters in Web Data. Proceedings of the International Conference on Machine Learning.

Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe, Carmen Vidaurre (2012). Brain-Computer Interfacing in Discriminative and Stationary Subspaces. Conf Proc IEEE Eng Med Biol Soc (EMBC).

DOI URL

Jan van Erp, Fabien Lotte, Michael Tangermann (2012). Brain-computer interfaces: beyond medical applications. Computer.

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Arne Ewald, Sabrina Aristei, Guido Nolte, Rasha Abdel Rahman (2012). Brain oscillations and functional connectivity during overt language production. Frontiers in Psychology.

DOI URL

Benjamin Blankertz, Michael Tangermann, Klaus-Robert Müller (2012). BCI applications for the general population. Brain-Computer Interfaces – Principles and Practice.

Franz J. Kiraly, Andreas Ziehe, Klaus-Robert Müller (2012). An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. Latent Variable Analysis and Signal Separation.

URL

Stefan Haufe, Vadim Nikulin, Guido Nolte (2012). Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses. Latent Variable Analysis and Signal Separation.

URL

Franz J. Kiraly, Paul von Bünau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert M\l̈ler (2012). Algebraic Geometric Comparison of Probability Distributions.
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.

Bastian Schmitz, Roland Wiegand, Alexander von Lühmann, Stefan Schulz (2012). A New Capacitive EMG Sensor for Control of the Active Orthosis Orthojacket. Biomedical Engineering / 765: Telehealth / 766: Assistive Technologies.

DOI URL

Debal Deb, Jörg Lässig, Marius Kloft (2012). A Critical Assessment of the Importance of Seedling Age in the System of Rice Intensification (SRI) in Eastern India. Experimental Agriculture.

Stefan Haufe, Vadim V. Nikulin, Klaus-Robert Müller, Guido Nolte (2012). A critical assessment of connectivity measures for EEG data: a simulation study. NeuroImage.

URL

Felix Bießmann (2011). Data-driven analysis for multimodal neuroimaging.

URL

S. Arndt, J. Antons, R. Schleicher, S. Moller, S. Scholler, G. Curio (2011). A Physiological Approach to Determine Video Quality. 2011 IEEE International Symposium on Multimedia (ISM).

DOI URL

Marius Kloft (2011). $ell_p$-Norm Multiple Kernel Learning.

Katja Hansen, David Baehrens, Timon Schroeter, Matthias Rupp, Klaus-Robert Müller (2011). Visual Interpretation of Kernel-Based Prediction Models. Molecular Informatics.

DOI URL

Pierre Baldi, Klaus-Robert Müller, Gisbert Schneider (2011). Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine Learning. Molecular Informatics.

DOI URL

Michael Tangermann, Johannes Höhne, Martijn Schreuder, Max Sagebaum, Benjamin Blankertz, Andrew Ramsay, Roderick Murray-Smith (2011). Data Driven Neuroergonomic Optimization of BCI Stimuli. Proc. 5th Int. BCI Conf. Graz.

Guido Schwenk, Konrad Rieck (2011). Adaptive Detection of Covert Communication in HTTP Requests. *European Conference on Computer Network Defense (EC2ND) *.

Fabian Yamaguchi, Felix Lindner, Konrad Rieck (2011). Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities using Machine Learning. Proc. of 5th USENIX Workshop on Offensive Technologies (WOOT).

Johannes Höhne, Michael Tangermann (2011). Natural stimuli for auditory BCI. Neurosc Let.

URL

Sulamith Schaeff, Matthias Sebastian Treder, Bastian Venthur, Benjamin Blankertz (2011). Motion-based ERP spellers in a covert attention paradigm. neuroscilett.

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Anne K. Porbadnigk, Jan-Niklas Antons, Matthias S. Treder, Benjamin Blankertz, Robert Schleicher, Sebastian Moeller, Gabriel Curio (2011). ERP assessment of word processing under broadcast bit rate limitations. neuroscilett.

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Javier Pascual, Ander Ramos, Carmen Vidaurre (2011). Classifying motor imagery with FES induced EEG patterns. neuroscilett.

URL

Konrad Rieck (2011). Computer Security and Machine Learning: Worst Enemies or Best Friends? . DIMVA Workshop on Systems Security (SYSSEC).

Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe (2011). Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on.

DOI URL

Forooz Shahbazi Avarvand, Andreas Ziehe, Guido Nolte (2011). Music algorithm to localize sources with unknown directivity in acoustic imaging. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

DOI URL

M. Kloft, U. Brefeld, S. Sonnenburg, A. Zien (2011). Lp-norm Multiple Kernel Learning. Journal of Machine Learning Research.

Daniel Boland, Melissa Quek, Michael Tangermann, John Williamson, Roderick Murray-Smith (2011). Using Simulated Input into Brain-Computer Interfaces for User-Centred Design. ijbem.

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Michael Tangermann, Johannes Höhne (2011). User-centered brain-computer interface design by optimizing auditory and visual stimuli. Frontiers in Human Neuroscience.

DOI URL

Ulrich Rückert, Marius Kloft (2011). Transfer Learning with Adaptive Regularizers. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2011).

Stefan Haufe (2011). Towards EEG source connectivity analysis.

URL

C. Vidaurre, M. Kawanabe, P. von Bünau, B. Blankertz, K. R. M\l̈ler (2011). Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. ieeetransbiomedeng.

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Gernot R. Müller-Putz, Christian Breitwieser, Febo Cincotti, Robert Leeb, Martijn Schreuder, Francesco Leotta, Michele Tavella, Luigi Bianchi, Alex Kreilinger, Andrew Ramsay, Martin Rohm, Max Sagebaum, Luca Tonin, Christa Neuper, José del. R. Millán (2011). Tools for Brain-Computer Interaction: a general concept for a hybrid BCI (hBCI). frontneuroinf.

DOI URL

Gernot R. Müller-Putz, Christian Breitwieser, Michael Tangermann, Martijn Schreuder, Michele Tavella, Robert Leeb, Febo Cincotti, Francesco Leotta, Christa Neuper (2011). Tobi hybrid BCI: principle of a new assistive method. ijbem.

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J.S. Müller, P. von Bünau, F.C. Meinecke, F.J. Király, Klaus-Robert Müller (2011). The Stationary Subspace Analysis Toolbox. Journal of Machine Learning Research.

Marius Kloft, Gilles Blanchard (2011). The Local Rademacher complexity of $ell_p$-norm multiple kernel learning. Advances in Neural Information Processing Systems 24.

Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe (2011). The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop).

Fabian Rathke, Katja Hansen, Ulf Brefeld, Klaus-Robert Müller (2011). StructRank: A New Approach for Ligand-Based Virtual Screening. J. Chem. Inf. Model..

DOI

Johannes Höhne, Michael Tangermann (2011). Stimulation Speed Boosts Auditory BCI Performance. Proc. 5th Int. BCI Conf. Graz.

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Duncan Blythe, Wojciech Samek, Klaus-Robert Müller (2011). Stationary Linear Discriminant Analysis - Classifying Non-Stationary Features in Brain-Computer Interfacing. Frontiers in Neuroscience.

DOI URL

Sven Dähne, Klaus-Robert M\l̈ler, and Michael Tangermann (2011). Slow Feature Analysis as a Potential Preprocessing Tool in BCI. ijbem.

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Sven Dähne, Johannes H\ḧne, Martijn Schreuder, Michael Tangermann (2011). Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. Artificial Neural Networks and Machine Learning - ICANN 2011.

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Benjamin Blankertz, Steven Lemm, Matthias Sebastian Treder, Stefan Haufe, Klaus-Robert Müller (2011). Single-trial analysis and classification of ERP components -- a tutorial. NeuroImage.

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Melissa Quek, Daniel Boland, John Williamson, Roderick Murray-Smith, Michele Tavella, Serafeim Perdikis, Martijn Schreuder, Michael Tangermann (2011). Simulating the feel of brain-computer interfaces for design, development and social interaction. Proceedings of the 2011 annual conference on Human factors in computing systems.

DOI URL

Konrad Rieck (2011). Similarity Measures for Sequential Data. WIREs: Data Mining and Knowledge Discovery.

Konrad Rieck (2011). Self-Learning Network Intrusion Detection. Information Technology (IT).

Anne K. Porbadnigk, Simon Scholler, Benjamin Blankertz, Arnd Ritz, Matthias Born, Robert Scholl, Klaus-Robert Müller, Gabriel Curio, Matthias S. Treder (2011). Revealing the Neural Response to Imperceptible Peripheral Flicker with Machine Learning. Conf Proc IEEE Eng Med Biol Soc.

Martijn Schreuder, Angela Riccio, Febo Cincotti, Monica Risetti, Benjamin Blankertz, Michael Tangermann, Donatella Mattia (2011). Putting AMUSE to work: an end-user study. ijbem.

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Martijn Schreuder, Johannes Höhne, Matthias Sebastian Treder, Benjamin Blankertz, Michael Tangermann (2011). Performance Optimization of ERP-Based BCIs Using Dynamic Stopping. confprocieeeengmedbiolsoc.

DOI

Michael Tangermann, Martijn Schreuder, Sven Dähne, Johannes H\ḧne, Sebastian Regler, Andrew Ramsay, Melissa Quek, John Williamson, Roderick Murray-Smith (2011). Optimized Stimulation Events for a Visual ERP BCI. ijbem.

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Nico Schmidt, Benjamin Blankertz, Matthias Sebastian Treder (2011). Online detection of error potentials increases information throughput in a brain-computer interface. neuroscilett.

DOI URL

Johannes Höhne, Martijn Schreuder, Benjamin Blankertz, Klaus-Robert M\l̈ler, Michael Tangermann (2011). Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online Studies. ijbem.

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Wojciech Samek, Alexander Binder, Motoaki Kawanabe (2011). Multi-task Learning via Non-sparse Multiple Kernel Learning. Computer Analysis of Images and Patterns.

DOI URL

Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz (2011). Multi-modal visual concept classification of images via Markov random walk over tags. Applications of Computer Vision (WACV), 2011 IEEE Workshop on.

DOI URL

Sonja Kleih, Angela Riccio, Donatella Mattia, Martijn Schreuder, Michael Tangermann, Claudia Zickler, Andrea Kübler (2011). Motivation affects performance in a P300-Brain-Computer Interface. ijbem.

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Javier Pascual, Motoaki Kawanabe, Carmen Vidaurre (2011). Modelling non-stationarities in EEG data with Robust Principal Component Analysis. Hybrid Artificial Intelligent Systems.

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Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, Benjamin Blankertz (2011). Machine-Learning Based Co-adaptive Calibration. neuralcomput.

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Martijn Schreuder, Thomas Rost, Michael Tangermann (2011). Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI. frontneurosci.

DOI URL

Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller (2011). Large-Scale EEG/MEG Source Localization with Spatial Flexibility. NeuroImage.

URL

Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, K. -R. Müller (2011). L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI. NeuroImage.

DOI URL

Grégoire Montavon, Mikio Braun, Klaus-Robert Müller (2011). Kernel analysis of deep networks. Journal of Machine Learning Research.

Javier Pascual, Carmen Vidaurre, Motoaki Kawanabe (2011). Investigating EEG non-stationarities with robust PCA and its application to improve BCI performance. ijbem.

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Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller (2011). Introduction to machine learning for brain imaging. NeuroImage.

URL

Matthias Sebastian Treder, Gert van der Vloed, Peter van der Helm (2011). Interactions between constituent single symmetries in multiple symmetry. attpercpsychophys.

URL

Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe (2011). Insights from Classifying Visual Concepts with Multiple Kernel Learning. arXiv.

URL

Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe (2011). Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. Hybrid Artificial Intelligent Systems.

DOI URL

Grégoire Montavon, Mikio Braun, Klaus-Robert Müller (2011). Importance of Cross-Layer Cooperation for Learning Deep Feature Hierarchies. NIPS Workshop on Deep Learning and Unsupervised Feature Learning.

Wojciech Samek, Motoaki Kawanabe, Carmen Vidaurre (2011). Group-wise Stationary Subspace Analysis - A novel method for studying non-stationarities. Proc. 5th Int. BCI Conf. Graz.

Matthias Sebastian Treder, Nico Maurice Schmidt, Benjamin Blankertz (2011). Gaze-independent visual brain-computer interfaces. ijbem.

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Matthias Sebastian Treder, Nico Maurice Schmidt, Benjamin Blankertz (2011). Gaze-independent brain-computer interfaces based on covert attention and feature attention. jneuraleng.

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Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, Gabriel Curio (2011). Forschen an einer neuen Schnittstelle zum Gehirn: Das Berliner Brain-Computer-Interface. Nova Acta Leopoldina.

URL

Tammo Krueger, Danny Panknin, Mikio Braun (2011). Fast Cross-Validation via Sequential Analysis. Neural Information Processing Systems (NIPS), Big Learning Workshop.

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Stefan Haufe, Matthias S. Treder, Manfred F. Gugler, Max Sagebaum, Gabriel Curio, Benjamin Blankertz (2011). EEG potentials predict upcoming emergency brakings during simulated driving. jneuraleng.

URL

Daniel Bartz, Kerr Hatrick, Christian Hesse, Klaus-Robert Müller, Steven Lemm (2011). Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization. arXiv.

Masashi Sugiyama, Makoto Yamada, Paul von Bünau, Taiji Suzuki, Takafumi Kanamori, Motoaki Kawanabe (2011). Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. Neural Networks.

DOI

Hans J. P. Wouters, Marcel A. J. van Gerven, Matthias Sebastian Treder, Tom Heskes, Ali Bahramisharif (2011). Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing. MLINI'11.

Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz (2011). Common Spatial Pattern Patches - an Optimized Filter Ensemble for Adaptive Brain-Computer Interfaces. jneuraleng.

DOI URL

Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, Benjamin Blankertz (2011). Co-adaptive calibration to improve BCI efficiency. jneuraleng.

DOI URL

C. Grozea, C. D. Voinescu, S. Fazli (2011). Bristle-sensors - Low-cost Flexible Passive Dry EEG Electrodes for Neurofeedback and BCI Applications. jneuraleng.

Matthias Sebastian Treder, Ali Bahramisharif, Nico Maurice Schmidt, Marcel van Gerven, Benjamin Blankertz (2011). Brain-Computer Interfacing using Modulations of Alpha Activity Induced by Covert Shifts of Attention. jneuroengrehabil.

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Carmen Vidaurre, Tilmann H. Sander, Alois Schlögl (2011). BiosSig: The free and open source software library for biomedical signal processing. Computational Intelligence and Neuroscience.

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Sven Dähne, Johannes H\ḧne, Martijn Schreuder, Michael Tangermann (2011). Band Power Features Correlate With Performance In Auditory Brain-Computer Interface. Front. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI).

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Irene Winkler, Stefan Haufe, Michael Tangermann (2011). Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals. behavbrainfunct.

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Konrad Rieck, Philipp Trinius, Carsten Willems, Thorsten Holz (2011). Automatic Analysis of Malware Behavior using Machine Learning. Journal of Computer Security (JCS).

Irene Winkler, Michael Tangermann (2011). Artifact-Insensitivity of CSP in Motor Imagery BCI. ijbem.

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Felix Bießmann, Sergey M Plis, Frank C. Meinecke, Tom Eichele, Klaus-Robert Müller (2011). Analysis of Multimodal Neuroimaging Data. Biomedical Engineering, IEEE Reviews in.

Motoaki Kawanabe, Wojciech Samek, Paul von Bünau, Frank Meinecke (2011). An Information Geometrical View of Stationary Subspace Analysis. Artificial Neural Networks and Machine Learning - ICANN 2011.

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W. Cho, C. Vidaurre, U. Hoffman, N. Birbaumer, A. Ramos-Murguialday (2011). Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation. Conf Proc IEEE Eng Med Biol Soc.

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Siamac Fazli (2011). Advances in Neurotechnology for Brain Computer Interfaces.

Sven Dähne, Johannes H\ḧne, Michael Tangermann (2011). Adaptive Classification Improves Control Performance In ERP-Based BCIs. Proceedings of the 5th International BCI Conference.

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Johannes Höhne, Martijn Schreuder, Benjamin Blankertz, Michael Tangermann (2011). A novel 9-class auditory ERP paradigm driving a predictive text entry system. frontneurosci.

DOI URL

R. Jenssen, M. Kloft, A. Zien, S. Sonnenburg, K. -R Müller (2011). A New Scatter-Based Multi-Class Support Vector Machine. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe (2011). A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. Computer Vision - ACCV 2010.

DOI URL

Clemens Brunner, Martin Billinger, Carmen Vidaurre, Christa Neuper (2011). A comparison of univariate, vector, bilinear autoregressive and band power features for brain-computer interfaces. Medical and Biological Engineering and Computing.

S. Fazli, M. Danóczy, J. Schelldorfer, K.R. Müller (2011). $ell_1$-Penalized Linear Mixed-Effects Models for BCI. Artificial Neural Networks and Machine Learning–ICANN 2011.

Iurii Sushko, Sergii Novotarskyi, Robert Körner, Anil Kumar Pandey, Artem Cherkasov, Jiazhong Li, Paola Gramatica, Katja Hansen, Timon Schroeter, Klaus-Robert M\l̈ler, Lili Xi, Huanxiang Liu, Xiaojun Yao, TomasÖberg, Farhad Hormozdiari, Phuong Dao, Cenk Sahinalp, Roberto Todeschini, Pavel Polishchuk, Anatoliy Artemenko, Victor Kuz'min, Todd M. Martin, Douglas M. Young, Denis Fourches, Eugene Muratov, Alexander Tropsha, Igor Baskin, Dragos Horvath, Gilles Marcou, Christophe Muller, Alexander Varnek, Volodymyr V. Prokopenko, Igor V. Tetko (2010). Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set. J. Chem. Inf. Model..

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Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe (2010). Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. Image Processing (ICIP), 2010 17th IEEE International Conference on.

DOI URL

T. Lang, M. Toussaint, K. Kersting (2010). Exploration in Relational Worlds. Proc.~of the European Conf.~on Machine Learning (ECML).

Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe (2010). Enhancing Image Classification with Class-wise Clustered Vocabularies. Pattern Recognition (ICPR), 2010 20th International Conference on.

DOI URL

Tobias Lang, Marc Toussaint (2010). Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds. Proc.~of the Int.~Conf.~on Machine Learning (ICML).

David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller (2010). How to Explain Individual Classification Decisions. JMLR.

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Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev (2010). Integrated motor control, planning, grasping and high-level reasoning in a blocksworld using probabilistic inference. IEEE International Conference on Robotics and Automation (ICRA).

Matthias Sebastian Treder, Benjamin Blankertz (2010). (C)overt attention and visual speller design in an ERP-based brain-computer interface. behavbrainfunct.

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M. Sugiyama, S. Hara, P. von Bünau, T. Suzuki, T. Kanamori, M. Kawanabe (2010). Direct Density Ratio Estimation with Dimensionality Reduction. Proceedings of 2010 SIAM International Conference on Data Mining (SDM2010).

Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov (2010). TokDoc: A Self-Healing Web Application Firewall. Proc. of 25th ACM Symposium on Applied Computing (SAC).

Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov (2010). Botzilla: Detecting the \"Phoning Home\" of Malicious Software. Proc. of 25th ACM Symposium on Applied Computing (SAC).

Marius Kloft, Pavel Laskov (2010). Security Analysis of Online Centroid Anomaly Detection.

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M. Kloft, U. Brefeld, S. Sonnenburg, A. Zien (2010). Non-Sparse Regularization and Efficient Training with Multiple Kernels.

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Anne K. Porbadnigk, Jan-Niklas Antons, Benjamin Blankertz, Matthias Sebastian Treder, Robert Schleicher, Sebastian Möller, Gabriel Curio (2010). Using ERPs for Assessing the (Sub)Conscious Perception of Noise. Conf Proc IEEE Eng Med Biol Soc.

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Johannes Höhne, Martijn Schreuder, Benjamin Blankertz, Michael Tangermann (2010). Two-dimensional auditory P300 Speller with predictive text system. Conf Proc IEEE Eng Med Biol Soc.

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Ramona Steri, Matthias Rupp, Ewgenij Proschak, Timon Schroeter, Heiko Zettl, Katja Hansen, Oliver Schwarz, Lutz Müller-Kuhrt, Klaus-Robert Müller, Gisbert Schneider, Manfred Schubert-Zsilavecz (2010). Truxillic acid derivatives act as peroxisome proliferator-activated receptor [gamma] activators. Bioorganic & Medicinal Chemistry Letters.

DOI URL

Matthias S Treder, Nico Maurice Schmidt, Benjamin Blankertz (2010). Towards gaze-independent visual brain-computer interfaces. frontcomputneurosci.

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Carmen Vidaurre, Benjamin Blankertz (2010). Towards a Cure for BCI Illiteracy. braintopogr.

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Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, Siamac Fazli, Claudia Sannelli, Stefan Haufe, Cecilia Maeder, Lenny E Ramsey, Irene Sturm, Gabriel Curio, Klaus-Robert Müller (2010). The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology. frontneurosci.

DOI URL

Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von Bünau (2010). Stationary subspace analysis as a generalized eigenvalue problem. Proceedings of the 17th international conference on Neural information processing (ICONIP).

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Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Kawanabe (2010). Stationary Common Spatial Patterns for non-stationary EEG data. Frontiers in Neuroscience.

DOI URL

S. Haufe, G. Nolte, K. -R. Müller, N. Kr\m̈er (2010). Sparse Causal Discovery in Multivariate Time Series. JMLR W&CP.

Yusuke Murayama, Felix Bießmann, Frank C Meinecke, Klaus-Robert Müller, Mark Augath, Axel Öltermann, Nikos K Logothetis (2010). Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA. Magnetic Resonance Imaging.

DOI URL

Bastian Venthur, Simon Scholler, John Williamson, Sven Dähne, Matthias S Treder, Maria T Kramarek, Klaus-Robert M\l̈ler, Benjamin Blankertz (2010). Pyff -- A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience. frontneurosci.

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Tobias Lang, Marc Toussaint (2010). Planning with Noisy Probabilistic Relational Rules. Journal of Artificial Intelligence Research.

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Piotr Zwolinski, Marcin Roszkowski, Jaroslaw Zygierewicz, Stefan Haufe, Guido Nolte, Piotr J. Durka (2010). Open database of epileptic EEG with MRI and postoperational assessment of foci --- a real world verification for the EEG inverse solutions. Neuroinformatics.

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Marius Kloft, Pavel Laskov (2010). Online Anomaly Detection under Adversarial Impact. JMLR Workshop and Conference Proceedings, Volume 9: AISTATS.

Claudia Sannelli, Thorsten Dickhaus, Sebastian Halder, Eva-Maria Hammer, Klaus-Robert Müller, Benjamin Blankertz (2010). On optimal channel configurations for SMR-based brain-computer interfaces. braintopogr.

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Johannes Höhne, Martijn Schreuder, Benjamin Blankertz, Klaus-R. Mu\l̈ler, Michael Tangermann (2010). Novel paradigms for auditory P300 Spellers with spatial hearing: two online studies. frontcomputneurosci.

DOI URL

Bastian Venthur, Benjamin Blankertz, Manfred F. Gugler, Gabriel Curio (2010). Novel Applications of BCI Technology: Psychophysiological Optimization of Working Conditions in Industry. Proceedings of the 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010).

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Vadim V Nikulin, Klaus Linkenkaer-Hansen, Guido Nolte, Gabriel Curio (2010). Non-zero mean and asymmetry of neuronal oscillations have different implications for evoked responses.. clinneurophysiol.

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Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, Eva M. Hammer, Andrea Kübler, Klaus-Robert M\l̈ler, Gabriel Curio, Thorsten Dickhaus (2010). Neurophysiological Predictor of SMR-Based BCI Performance. NeuroImage.

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Stefan Haufe, M. S. Treder, M. F. Gugler, M. Sagebaum, Arne Ewald, Gabriel Curio, Benjamin Blankertz (2010). Neural Signatures Enhance Emergency Braking Intention Detection during Simulated Driving. frontcomputneurosci.

DOI URL

Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe (2010). Modeling the Connectivity of Neural Ensembles Underlying EEG/MEG. frontcomputneurosci.

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Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe (2010). Modeling sparse connectivity between underlying brain sources for EEG/MEG. ieeetransbiomedeng.

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Guido Nolte, Klaus-Robert Müller (2010). Localizing and estimating causal relations of interacting brain rhythms. fronthumneurosci.

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Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller (2010). Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions. Conf Proc IEEE Eng Med Biol Soc.

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Grégoire Montavon, Mikio Braun, Klaus-Robert Müller (2010). Layer-wise analysis of deep networks with Gaussian kernels. Advances in Neural Information Processing Systems 23.

Motoaki Kawanabe, Javier Pascual, Carmen Vidaurre (2010). Investigation of Non-stationarity in Brain Activity via Robust Principal Component Analysis. Bernstein Conference on Computational Neuroscience.

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Matthias Rupp, Timon Schroeter, Ramona Steri, Heiko Zettl, Ewgenij Proschak, Katja Hansen, Oliver Rau, Oliver Schwarz, Lutz Müller-Kuhrt, Manfred Schubert-Zsilavecz, Klaus-Robert M\l̈ler, Gisbert Schneider (2010). From machine learning to natural product derivatives selectively activating transcription factor PPAR$γ$. ChemMedChem.

DOI URL

Ingmar Schuster, Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov (2010). FIPS: FIRST Intrusion Prevention System.

Paul von Bünau, Frank C. Meinecke, Simon Scholler, Klaus-Robert Müller (2010). Finding Stationary Brain Sources in EEG Data. Proceedings of the 32nd Annual Conference of the IEEE EMBS.

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Arne Ewald, Andreas Ziehe, Forooz Shahbazi, Guido Nolte (2010). Exploiting Prior Neurophysiological Knowledge to Improve Brain Computer Interface Performance. 17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010.

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Alexander Binder, Motoaki Kawanabe (2010). Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. Multilingual Information Access Evaluation II. Multimedia Experiments.

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Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, Thorsten Dickhaus, Claudia Sannelli, Florin Popescu, Siamac Fazli, Márton Danóczy, Gabriel Curio, Klaus-Robert Müller (2010). Detecting Mental States by Machine Learning Techniques: The Berlin Brain-Computer Interface. Brain-Computer Interfaces (Revolutionizing Human-Computer Interaction).

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Konrad Rieck, Tammo Krueger, Andreas Dewald (2010). Cujo: Efficient Detection and Prevention of Drive-by-Download Attacks. Proc. of 26th Annual Computer Security Applications Conference (ACSAC).

Forooz Shahbazi, Arne Ewald, Andreas Ziehe, Guido Nolte (2010). Constructing Surrogate Data to Control for Artifacts of Volume Conduction for Functional Connectivity Measures. 17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010.

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J. Araújo, P. von Bünau, J. D. Mitchell, M. Neunh\f̈fer (2010). Computing automorphisms of semigroups. Journal of Symbolic Computation.

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Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert M\l̈ler (2010). Comparison of Granger Causality and Phase Slope Index. Causality: Objectives and Assessment.

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Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz (2010). Common Spatial Pattern Patches - an Optimized Spatial Filter for Adaptive BCIs. frontcomputneurosci.

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Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz (2010). Common Spatial Pattern Patches - an Optimized Filter Ensemble for Adaptive Brain-Computer Interfaces. Conf Proc IEEE Eng Med Biol Soc.

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José del R. Mill\ń, Rüdiger Rupp, Gernot M\l̈ler-Putz, Roderick Murray-Smith, Claudio Giugliemma, Michael Tangermann, Carmen Vidaurre, Febo Cincotti, Andrea K\"l̈er, Robert Leeb, Christa Neuper, Klaus-Robert M\"uër, Donatella Mattia (2010). Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges. Frontiers in Neuroprosthetics.

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BBCI (2010). Berlin Brain-Computer Interface (BBCI) Matlab toolbox.

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Matthias Sebastian Treder (2010). Behind the Looking-Glass: A Review on Human Symmetry Perception. Symmetry.

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Anne Porbadnigk, Jan-Niklas Antons, Benjamin Blankertz, Matthias S Treder, Robert Schleicher, Sebastian Möller, Gabriel Curio (2010). Assessing the (Sub)Conscious Processing of Noise based on ERPs. frontcomputneurosci.

DOI URL

Tammo Krueger, Nicole Krämer, Konrad Rieck (2010). ASAP: Automatic Semantics-Aware Analysis of Network Payloads. Proc. of ECML Workshop on Privacy and Security Issues in Data Mining and Machine Learning (PSDML).

Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller (2010). Approximate Tree Kernels. Journal of Machine Learning Research.

Felix Bießmann, Andreas Harth (2010). Analysing Dependency Dynamics in Web Data. AAAI Spring Symposium: Linked Data meets AI.

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Nico Maurice Schmidt, Benjamin Blankertz, Matthias Sebastian Treder (2010). Alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs. Proceedings of the 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010).

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Nico Maurice Schmidt, Benjamin Blankertz, Matthias Sebastian Treder (2010). Alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs. frontcomputneurosci.

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Alois Schlögl, Carmen Vidaurre, Klaus-Robert Müller (2010). Adaptive Methods in BCI Research -- An Introductory Tutorial. Brain-Computer Interfaces.

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M. Kloft, U. Rückert, P. L. Bartlett (2010). A Unifying View of Multiple Kernel Learning. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD).

R. Tomioka, K. -R. Müller (2010). A regularized discriminative framework for EEG analysis with application to brain-computer interface. NeuroImage.

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Laura Acqualagna, Matthias Sebastian Treder, Martijn Schreuder, Benjamin Blankertz (2010). A novel brain-computer interface based on the rapid serial visual presentation paradigm. Conf Proc IEEE Eng Med Biol Soc.

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Martijn Schreuder, Benjamin Blankertz, Michael Tangermann (2010). A New Auditory Multi-class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue. plosone.

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Philipp Trinius, Carsten Willems, Thorsten Holz, Konrad Rieck (2010). A Malware Instruction Set for Behavior-based Analysis.. Proc. of Conference ``Sicherheit, Schutz und Zuverlässigkeit’’ (SICHERHEIT).

Ruth Schubert, Stefan Haufe, Felix Blankenburg, Arno Villringer, Gabriel Curio (2009). Now you'll feel it - now you won't: EEG rhythms predict the effectiveness of perceptual masking. jcognneurosci.

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Konrad Rieck, Pavel Laskov (2009). Visualization and Explanation of Payload-Based Anomaly Detection. Proc. of European Conference on Computer Network Defense (EC2ND).

Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld (2009). Active Learning for Network Intrusion Detection. Proc. of CCS Workshop on Security and Artificial Intelligence (AISEC).

T. Lang, M. Toussaint (2009). Relevance Grounding for Planning in Relational Domains. Proc.~of the European Conf.~on Machine Learning (ECML).

Katja Hansen, Sebastian Mika, Timon Schroeter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus-Robert Müller (2009). Benchmark Data Set for in Silico Prediction of Ames Mutagenicity. J. Chem. Inf. Model..

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Steven Lemm, Klaus-Robert Müller, Gabriel Curio (2009). A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization. ploscompbiol.

DOI URL

R. Jenssen, M. Kloft, A. Zien, S. Sonnenburg, K. -R Müller (2009). A Multi-Class Support Vector Machine Based on Scatter Criteria.

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S. Fazli, F. Popescu, M. Danóczy, B. Blankertz, K. -R. Müller, C. Grozea (2009). Subject-independent mental state classification in single trials. neuralnetw.

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Tobias Lang, Marc Toussaint (2009). Approximate Inference for Planning in Stochastic Relational Worlds. Proc.~of the Int.~Conf.~on Machine Learning (ICML).

Katja Hansen, Fabian Rathke, Timon Schroeter, Georg Rast, Thomas Fox, Jan M. Kriegl, Sebastian Mika (2009). Bias­Correction of Regression Models: A Case Study on hERG Inhibition. Journal of Chemical Information and Modelling.

DOI URL

Benjamin Blankertz, Carmen Vidaurre (2009). Towards a Cure for BCI Illiteracy: Machine-Learning Based Co-adaptive Learning. BMC Neuroscience 2009.

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Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schl\g̈l (2009). Time Domain Parameters as a feature for EEG-based Brain Computer Interfaces. Neural Networks.

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Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos Logothetis, Klaus-Robert Müller (2009). Temporal Kernel Canonical Correlation Analysis and its Application in Multimodal Neuronal Data Analysis. Machine Learning.

DOI URL

Siamac Fazli, Cristian Grozea, Márton Danóczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller (2009). Subject independent EEG-based BCI decoding. Advances in Neural Information Processing Systems 22.

Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller (2009). Stationary Subspace Analysis. ICA.

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Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller (2009). Securing IMS against Novel Threats. Bell Labs Technical Journal.

Motoaki Kawanabe, Carmen Vidaurre, Simon Schoeller, Benjamin Blankertz, Klaus-Robert Mueller (2009). Robust Common Spatial Filters with a Maxmin Approach. EMBS-Conference.

Thorsten Dickhaus, Claudia Sannelli, Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz (2009). Predicting BCI Performance to Study BCI Illiteracy. BMC Neuroscience 2009.

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Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, Eva-Maria Hammer, Andrea Kübler, Klaus-Robert M\l̈ler, Gabriel Curio, Thorsten Dickhaus (2009). Predicting BCI Performance to Study BCI Illiteracy. 7th NFSI & ICBEM 2009.

Lenny Ramsey, Michael Tangermann, Stefan Haufe, Benjamin Blankertz (2009). Practicing fast-decision BCI using a ``goalkeeper'' paradigm. BMC Neuroscience 2009.

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Michael Tangermann, Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller (2009). Playing Pinball with non-invasive BCI. Advances in Neural Information Processing Systems 21, December 8-11, 2008.

Nicole Krämer (2009). On the Peaking Phenomenon of the Lasso in Model Selection.

Benjamin Blankertz, Klaus-Robert Müller, Gabriel Curio (2009). Neuronal Correlates of Emotions in Human-Machine Interaction. BMC Neuroscience 2009.

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Shinichi Nakajima, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz, Marius Kloft, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe (2009). Multiple Kernel Learning for Object Classification. Proceedings of the 12th Workshop on Information-based Induction Sciences.

Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller (2009). Learning invariances with Stationary Subspace Analysis. Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on.

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Martijn Schreuder, Michael Tangermann, Benjamin Blankertz (2009). Initial results of a high-speed spatial auditory BCI. ijbem.

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Tülay Adali, Christian Jutten, João Marcos Travassos Romano, Allan Kardec Barros (2009). Independent Component Analysis and Signal Separation, 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings. ICA.

Claudia Sannelli, Mikio Braun, Klaus-Robert Müller (2009). Improving BCI performance by task-related trial pruning. Neural Networks.

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Motoaki Kawanabe, Carmen Vidaurre (2009). Improving BCI Performance by Modified Common Spatial Patterns with Robustly Averaged Covariance Matrices. WC2009.

Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Gilles Blanchard (2009). How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars. Combinatorial Chemistry & High Throughput Screening.

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Paul von Bünau, Frank C. Meinecke, Franz Király, Klaus-Robert M\l̈ler (2009). Finding Stationary Subspaces in Multivariate Time Series. Physical Review Letters.

M. Kloft, S. Nakajima, U. Brefeld (2009). Feature Selection for Density Level-Sets. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD).

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien (2009). Efficient and Accurate Lp-Norm Multiple Kernel Learning. Advances in Neural Information Processing Systems 22.

J. Williamson, R. Murray-Smith, B. Blankertz, M. Krauledat, K. -R. Müller (2009). Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces. intjhumcomst.

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Michael Tangermann, Irene Winkler, Stefan Haufe, Benjamin Blankertz (2009). Classification of Artifactual ICA Components. ijbem.

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Jan Conradi, Benjamin Blankertz, Michael Tangermann, Volker Kunzmann, Gabriel Curio (2009). Brain-Computer Interfacing in Tetraplegic Patients with High Spinal Cord Injury. ijbem.

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Konrad Rieck, Philipp Trinius, Carsten Willems, Thorsten Holz (2009). Automatic Analysis of Malware Behavior using Machine Learning.

Piotr Durka, Marcin Roszkowski, Jaroslav Zygierewicz, Stefan Haufe, Guido Nolte, Piotr Zwolinski (2009). An open database of EEG data from child epilepsy with postoperational foci localization at eeg.pl/epi. Frontiers in Neuroscience.

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Nico Görnitz, Marius Kloft, Ulf Brefeld (2009). Active and Semi-supervised Data Domain Description. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD).

Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Müller (2009). A maxmin approach to optimize spatial filters for EEG single-trial classification. Proceedings of IWANN 09, Part I, LNCS.

Pavel Laskov, Marius Kloft (2009). A framework for quantitative security analysis of machine learning. Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence (AISEC).

Marius Kloft, Ulf Brefeld, Pavel Laskov, Sören Sonnenburg (2008). Non-Sparse Multiple Kernel Learning. Proc. of the NIPS Workshop on Kernel Learning: Automatic Selection of Kernels.

Konrad Rieck, Ulf Brefeld, Tammo Krueger (2008). Approximate Kernels for Trees.

Matthias Krauledat, Michael Tangermann, Benjamin Blankertz, Klaus-Robert Müller (2008). Towards Zero Training for Brain-Computer Interfacing. plosone.

DOI URL

Mikio L. Braun, Joachim Buhmann, Klaus-Robert Müller (2008). On Relevant Dimensions in Kernel Feature Spaces. Journal of Machine Learning Research.

Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte (2008). Combining sparsity and rotational invariance in EEG/MEG source reconstruction. NeuroImage.

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G. Nolte, A. Ziehe, V. Nikulin, A. Schlögl, N. Kr\m̈er, T. Brismar, K.-R. M\"l̈er (2008). Robustly Estimating the Flow Direction of Information in Complex Physical Systems. Physical Review Letters.

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Laura Marzetti, Cosimo Del Gratta, Guido Nolte (2008). Understanding brain connectivity from EEG data by identifying systems composed of interacting sources. NeuroImage.

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Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer (2008). Toroidal Models in Tonal Theory and Pitch- Class Analysis. Tonal Theory for the Digital Age, Computing in Musicology.

Benjamin Blankertz, Florian Losch, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Klaus-Robert Müller (2008). The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects. ieeetransbiomedeng.

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Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Danóczy, Gabriel Curio, Klaus-Robert Müller (2008). The Berlin Brain-Computer Interface. WCCI 2008 Plenary/Invited Lectures.

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Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Sch\l̈kopf, Gunnar R\"s̈ch (2008). Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology.

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Lothar Braun, Falko Dressler, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegeland Tobias Limmer, Konrad Rieck, James P. G. Sterbenz (2008). Requirements for Network Monitoring from an IDS Perspective. Perspectives Workshop: Network Attack Detection and Defense (Dagstuhl Seminar Proceedings).

Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar R\ẗsch (2008). POIMs: Positional Oligomer Importance Matrices --- Understanding Support Vector Machine Based Signal Detectors. Bioinformatics.

Ruth Schubert, Michael Tangermann, Stefan Haufe, Claudia Sannelli, Michael Simon, Eike A. Schmidt, Wilhelm E. Kincses, Gabriel Curio (2008). Parieto-occipital alpha power indexes distraction during simulated car driving. International Journal of Psychophysiology.

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Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, Klaus-Robert Müller (2008). Optimizing Spatial Filters for Robust EEG Single-Trial Analysis. ieeesignalprocessmag.

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Vojtech Franc, Sören Sonnenburg (2008). OCAS Optimized cutting plane algorithm for support vector machines. Proceedings of the 25nd International Machine Learning Conference.

Thorsten Holz, Christian Gorecki, Konrad Rieck, Felix C. Freiling (2008). Measuring and Detecting Fast-Flux Service Networks. 15th Annual Network & Distributed System Security Symposium (NDSS).

Klaus-Robert Müller, Michael Tangermann, Guido Dornhege, Matthias Krauledat, Gabriel Curio, Benjamin Blankertz (2008). Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring. jneuroscimethods.

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Pavel Laskov, Konrad Rieck, Klaus-Robert Müller (2008). Machine Learning for Intrusion Detection. Mining Massive Data Sets for Security.

Konrad Rieck, Pavel Laskov (2008). Linear-Time Computation of Similarity Measures for Sequential Data. Journal of Machine Learning Research.

Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov (2008). Learning and Classification of Malware Behavior. Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of 5th DIMVA Conference.

Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Vadim Nikulin, Klaus-Robert Müller (2008). Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. Advances in Neural Information Processing Systems 20.

Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck (2008). Incorporation of Application Layer Protocol Syntax into Anomaly Detection. Proc. of International Conference on Information Systems Security (ICISS).

Markus Schubert, Jens Kohlmorgen (2008). Hierarchical Feature Extraction for Compact Representation and Classification of Datasets. ICONIP 2007.

Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte (2008). Estimating vector fields using sparse basis field expansions. Advances in Neural Information Processing Systems 21.

M. Sugiyama, S. Nakajima, H. Kashima, P. von Bünau, M. Kawanabe (2008). Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation. Advances in Neural Information Processing Systems 20.

M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, P. von Bünau, M. Kawanabe (2008). Direct Importance Estimation for Covariate Shift Adaptation. Annals of the Institute of Statistical Mathematics.

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Carmen Vidaurre, Alois Schlögl (2008). Comparison of adaptive features with linear discriminant classifier for Brain Computer Interfaces. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008.

Anton Nijholt, Desnay Tan, Gert Pfurtscheller, Clemens Brunner, José Mill\ń, Brendan Allison, Bernhard Grainmann, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller (2008). Brain-Computer Interfacing for Intelligent Systems. IEEE Intelligent Systems.

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Benjamin Blankertz (2008). BCI Competition IV (web page).

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M. Kloft, U. Brefeld, P. Düssel, C. Gehl, P. Laskov (2008). Automatic feature selection for anomaly detection. AISec.

Marc Dacier, Hervé Debar, Thorsten Holz, Engin Kirda, Jan Kohlrausch, Christopher Kruegel, Konrad Rieck, James P. G. Sterbenz (2008). Attack Taxonomy. Perspectives Workshop: Network Attack Detection and Defense (Dagstuhl Seminar Proceedings).

Siamac Fazli, Márton Danóczy, Motoaki Kawanabe, Florin Popescu (2008). Asynchronous, adaptive BCI using movement imagination training and rest-state inference. IASTED’s Proceedings on Artificial Intelligence and Applications 2008.

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Matthias Krauledat (2008). Analysis of Nonstationarities in EEG signals for improving Brain-Computer Interface performance.

Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov (2008). An Architecture for Inline Anomaly Detection. *Proc. of European Conference on Computer Network Defense (EC2ND) *.

Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller (2008). A Self-Learning System for Detection of Anomalous SIP Messages. Principles, Systems and Applications of IP Telecommunications (IPTCOMM), Second International Conference.

Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak, Philip Lienau, Andreas Reichel, Nikolaus Heinrich, Klaus-Robert Müller (2008). A Probabilistic Approach to Classifying Metabolic Stability. Journal of Chemical Information and Modelling.

URL

Vojtech Franc, Sören Sonnenburg (2007). Optimized cutting plane algorithm for support vector machines.

Alexander Zien, Petra Philips, Sören Sonnenburg (2007). Computing Positional Oligomer Importance Matrices (POIMs).

Steven Lemm (2007). Analyses of single trial encephalogram data.

Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar R\ẗsch (2007). Accurate Splice Site Prediction. BMC Bioinformatics, Special Issue from NIPS workshop on New Problems and Methods in Computational Biology Whistler, Canada, 18 December 2006.

Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmesand Yann LeCun, Klaus-Robert M\l̈ler, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Sch\"k̈opf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson (2007). The Need for Open Source Software in Machine Learning. Journal of Machine Learning Research.

Guido Dornhege, Jos\ ́and Hinterberger, Thilo del~R.~Millán, Dennis McFarland, Klaus-Robert Müller (2007). Toward Brain-Computer Interfacing. MIT Press.

Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Gabriel Curio (2007). The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects. NeuroImage.

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Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Volker Kunzmann, Florian Losch, Gabriel Curio, Klaus-Robert Müller (2007). The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain States. Toward Brain-Computer Interfacing.

Roman Krepki, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2007). The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control in gaming applications. Journal of Multimedia Tools and Applications.

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Gilles Blanchard, Olivier Bousquet, Laurent Zwald (2007). Statistical properties of kernel components analysis. Machine Learning.

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Florin Popescu, Siamac Fazli, Yakob Badower, Benjamin Blankertz, Klaus-R. Müller (2007). Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes. plosone.

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Matthias Krauledat, Guido Dornhege, Benjamin Blankertz, Klaus-Robert Müller (2007). Robustifying EEG data analysis by removing outliers. Chaos and Complexity Letters.

Sylvain Arlot, Gilles Blanchard, Étienne Roquain (2007). Resampling-based confidence regions and multiple tests for a correlated random vector. Proceedings of the 20th. conference on learning theory (COLT 2007).

Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert M\l̈ler (2007). Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach. Advances in Neural Information Processing Systems 19.

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller (2007). Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models. ChemMedChem.

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Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert M\l̈ler (2007). Optimal dyadic decision trees. Machine Learning.

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Gilles Blanchard, François Fleuret (2007). Occam's Hammer. Proceedings of the 20th. conference on learning theory (COLT 2007).

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller (2007). Machine Learning Models for Lipophilicity and their Domain of Applicability. Mol. Pharm..

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Klaus-Robert Müller, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Benjamin Blankertz (2007). Machine Learning and Applications for Brain-Computer Interfacing. Human Interface, Part I, HCII 2007.

Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller (2007). Logistic Regression for Single Trial EEG Classification. Advances in Neural Information Processing Systems 19.

Sören Sonnenburg, Gunnar Rätsch, Konrad Rieck (2007). Large Scale Learning with String Kernels. Large Scale Kernel Machines.

Gunnar Rätsch, Sören Sonnenburg (2007). Large Scale Hidden Semi-Markov SVMs. Advances in Neural Information Processing Systems 19.

Konrad Rieck, Pavel Laskov (2007). Language Models for Detection of Unknown Attacks in Network Traffic. Journal in Computer Virology.

Gunnar Rätsch, Sören Sonnenburg, Jagan Srinivasan, Hanh Witte, Ralf Sommer, Klaus-Robert Müller, Bernhard Schölkopf (2007). Improving the C. elegans genome annotation using machine learning. PLoS Computational Biology.

Jens Kohlmorgen, Guido Dornhege, Mikio Braun, Benjamin Blankertz, Klaus-Robert Müller, Gabriel Curio, Konrad Hagemann, Andreas Bruns, Michael Schrauf, Wilhelm Kincses (2007). Improving human performance in a real operating environment through real-time mental workload detection. Toward Brain-Computer Interfacing.

Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Benjamin Blankertz (2007). General signal processing and machine learning tools for BCI. Toward Brain-Computer Interfacing.

Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller (2007). Estimating the Domain of Applicability for Machine Learning QSAR RModels: A Study on Aqueous Solubility of Drug Discovery Molecules. Journal of Computer Aided Molecular Design - regular issue.

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Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Suelzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller (2007). Estimating the Domain of Applicability for Machine Learning QSAR RModels: A Study on Aqueous Solubility of Drug Discovery Molecules. Journal of Computer Aided Molecular Design - special issue on "ADME and Physical Properties".

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Mikio L. Braun, Joachim Buhmann, Klaus-Robert Müller (2007). Denoising and Dimension Reduction in Feature Space. Advances in Neural Inf. Proc. Systems (NIPS 20).

Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller (2007). Covariate Shift Adaptation by Importance Weighted Cross Validation. Journal of Machine Learning Research.

Konrad Rieck, Pavel Laskov, Sören Sonnenburg (2007). Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. Advances in Neural Information Processing Systems 19.

Ryota Tomioka, Kazuyuki Aihara (2007). Classifying Matrices with a Spectral Regularization. ICML ‘07: Proceedings of the 24th international conference on Machine learning.

Roman Krepki, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller (2007). Berlin Brain-Computer Interface - the HCI Communication Channel for Discovery. intjhumcompstudies.

Eike A. Schmidt, Wilhelm E. Kincses, Michael Schrauf, Stefan Haufe, Ruth Schubert, Gabriel Curio (2007). Assessing Drivers' Vigilance State During Monotonous Driving. Proceedings of the Fourth International Symposium on Human Factors in Driving Assessment, Training, and Vehicle Design.

Andrea Kübler, Klaus-Robert M\l̈ler (2007). An introducton to brain computer interfacing. Toward Brain-Computer Interfacing.

Steven Lemm, Christin Schäfer, Gabriel Curio (2007). Aggregating Classification Accuracy across Time: Application to Single Trial EEG. Advances in Neural Inf. Proc. Systems (NIPS 06).

Matthias Krauledat, Pradeep Shenoy, Benjamin Blankertz, Rajesh P.~N.~Rao, Klaus-Robert Müller (2007). Adaptation in CSP-based BCI systems. Toward Brain-Computer Interfacing.

Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller (2007). Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. Journal of Chemical Information and Modelling.

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Vadim V. Nikulin, Klaus Linkenkaer-Hansen, Guido Nolte, Steven Lemm, Klaus-Robert Müller, Risto J. Ilmoniemi, Gabriel Curio (2007). A novel mechanism for evoked responses in human brain. eurjneurosci.

Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith, Klaus-Robert Müller (2007). A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface. Universal Access in HCI, Part II, HCII 2007.

Motoaki Kawanabe, Masashi Sugiyama, Gilles Blanchard, Klaus-Robert Müller (2007). A new algorithm of non-Gaussian component analysis with radial kernel functions. Annals of the Institute of Statistical Mathematics.

Mikio L. Braun (2006). Accurate bounds for the eigenvalues of the kernel matrix. Journal of Machine Learning Research.

J. Laub, V. Roth, J.M. Buhmann, K. -R. Müller (2006). On the information and representation of non-Euclidean pairwise data. Pattern Recognition.

Klaus-Robert Müller, Benjamin Blankertz (2006). Toward noninvasive Brain-Computer Interfaces. ieeesignalprocessmag.

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P. Laskov, C. Gehl, S. Krüger, K. -R. Müller (2006). Incremental Support Vector Learning: Analysis, Implementation and Applications. Journal of Machine Learning Research.

Konrad Rieck, Pavel Laskov, Klaus-Robert Müller (2006). Efficient Algorithms for Similarity Measures over Sequential Data: A Look beyond Kernels. Pattern Recognition, Proc. of 28th DAGM Symposium.

Ryota Tomioka, Guido Dornhege, Guido Nolte, Benjamin Blankertz, Kazuyuki Aihara, Klaus-Robert Müller (2006). Spectrally Weighted Common Spatial Pattern Algorithm for Single Trial EEG Classification.

Sören Sonnenburg, Gunnar R\ẗsch, Christin Sch\"ër, Bernhard Sch\"oöpf (2006). Large Scale Multiple Kernel Learning. Journal of Machine Learning Research.

Konrad Rieck, Pavel Laskov (2006). Detecting Unknown Network Attacks using Language Models. Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of 3rd DIMVA Conference.

D. J. McFarland, C. W. Anderson, K. -R. Müller, A. Schl\g̈l, D. J. Krusienski (2006). BCI Meeting 2005--workshop on BCI signal processing: feature extraction and translation. ieeetransneuralsystrehabileng.

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Steven Lemm, Gabriel Curio, Yevhen Hlushchuk, Klaus-Robert Müller (2006). Enhancing the Signal to Noise Ratio of ICA-based Extracted ERPs. ieeetransbiomedeng.

Gunnar Rätsch, S̈̊en Sonnenburg, Christin Sch\"ër (2006). Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics, Special Issue from NIPS workshop on New Problems and Methods in Computational Biology Whistler, Canada, 18 December 2004.

F.J.~Theis, M.~Kawanabe (2006). Uniqueness of non-Gaussian subspace analysis. Proc. of ICA2006.

Pradeep Shenoy, Matthias Krauledat, Benjamin Blankertz, Rajesh P.~N.~Rao, Klaus-Robert Müller (2006). Towards Adaptive Classification for BCI. jneuraleng.

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Benjamin Blankertz, Guido Dornhege, Steven Lemm, Matthias Krauledat, Gabriel Curio, Klaus-Robert Müller (2006). The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States. jucs.

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Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Volker Kunzmann, Florian Losch, Gabriel Curio (2006). The Berlin Brain-Computer Interface: EEG-based communication without subject training. ieeetransneuralsystrehabileng.

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Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Michael Schröder, John Williamson, Roderick Murray-Smith, Klaus-Robert M\l̈ler (2006). The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell. Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006.

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Benjamin Blankertz, Klaus-Robert Müller, Dean Krusienski, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schl\g̈l, Gert Pfurtscheller, José del R. Mill\ń, Michael Schr\"ër, Niels Birbaumer (2006). The BCI Competition III: Validating Alternative Approachs to Actual BCI Problems. ieeetransneuralsystrehabileng.

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Stam CJ, Jones BF, Nolte G, Breakspear M, Scheltens P (2006). Small-World Networks and Functional Connectivity in Alzheimer's Disease. Cereb Cortex.

François Fleuret, Gilles Blanchard (2006). Pattern recognition from one example via chopping. Advances in Neural Inf. Proc. Systems (NIPS 05).

Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyuki Aihara, Klaus-Robert Müller (2006). Optimizing Spectral Filters for Single Trial EEG Classification. Proc. DAGM, LNCS 4174.

Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller (2006). Optimizing spatio-temporal filters for improving Brain-Computer Interfacing. Advances in Neural Inf. Proc. Systems (NIPS 05).

Matthias Krauledat, Benjamin Blankertz, Guido Dornhege, Michael Schröder, Gabriel Curio, Klaus-Robert M\l̈ler (2006). On-line differentiation of neuroelectric activities: algorithms and applications. Proceedings of the 28th Annual International Conference IEEE EMBS on Biomedicine.

Laurent Zwald, Gilles Blanchard (2006). On the convergence of eigenspaces in kernel principal components analysis. Advances in Neural Inf. Proc. Systems (NIPS 05).

Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir Spokoiny, Klaus-Robert Müller (2006). Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis. Proc. of ICASSP2006.

Ruth Schubert, Felix Blankenburg, Steven Lemm, Arno Villringer, Gabriel Curio (2006). Now you feel it - now you don't: ERP correlates of somatosensory awareness. psychophysiology.

Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller (2006). Non-Gaussian component analysis: a semi-parametric framework for linear dimension reduction. Advances in Neural Inf. Proc. Systems (NIPS 05).

Mikio L. Braun, Tilman Lange, Joachim Buhmann (2006). Model Selection in Kernel Methods based on a Spectral Analysis of Label Information. Proc. DAGM.

Guido Dornhege (2006). Increasing Information Transfer Rates for Brain-Computer Interfacing.

Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller (2006). In search of non-Gaussian components of a high-dimensional distribution. Journal of Machine Learning Research.

Masashi Sugiyama, Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, Klaus-Robert Müller (2006). Importance-Weighted Cross-Validation for Covariate Shift. Proc. DAGM, LNCS 4174.

Guido Nolte, Frank C.~Meinecke, Andreas Ziehe, Klaus-Robert Müller (2006). Identifying interactions in mixed and noisy complex systems. Physical Review E.

Stefan Harmeling, Guido Dornhege, David Tax, Frank C.~Meinecke, Klaus-Robert Müller (2006). From outliers to prototypes: ordering data. Neurocomputing.

M.~Kawanabe, F.J.~Theis (2006). Estimating non-Gaussian subspaces by characteristic functions. Proc. of ICA2006.

Florin Popescu, Yakob Badower, Siamac Fazli, Guido Dornhege, Klaus-Robert Müller (2006). EEG-based control of reaching to visual targets. Dynamical Principles for neuroscience and intelligent biomimetic devices - Abstracts of the EPFL-LATSIS Symposium 2006.

Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller (2006). Combined optimization of spatial and temporal filters for improving Brain-Computer Interfacing. ieeetransbiomedeng.

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N.Jeremy Hill, Thomas Navin Lal, Michael Schröder, Thilo Hinterberger, Guido Widman, Christian E. Elger, Bernhard Schölkopf, Niels Birbaumer (2006). Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals. Pattern Recognition.

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N Jeremy Hill, Thomas Navin Lal, Michael Schröder, Thilo Hinterberger, Barbara Wilhelm, Femke Nijboer, Ursula Mochty, Guido Widman, Christian Elger, Bernhard Sch\l̈kopf, Andrea K\"l̈er, Niels Birbaumer (2006). Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Sören Sonnenburg, Alexander Zien, Gunnar R\ẗsch (2006). ARTS: Accurate Recognition of Transcription Starts in Human. Bioinformatics.

Guido Nolte, Andreas Ziehe, Frank C.~Meinecke, Klaus-Robert Müller (2006). Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction. Advances in Neural Inf. Proc. Systems (NIPS 05).

Ryota Tomioka, Jeremy Hill, Benjamin Blankertz, Kazuyuki Aihara (2006). Adapting Spatial Filtering Methods for Nonstationary BCIs. Proceedings of 2006 Workshop on Information-Based Induction Sciences (IBIS2006).

Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller (2006). A novel dimension reduction procedure for searching non-Gaussian subspaces. Proc. of ICA2006.

Klaus-Robert Müller, Matthias Krauledat, Guido Dornhege, Stefan Jähnichen, Gabriel Curio, Benjamin Blankertz (2006). A note on the Berlin Brain-Computer Interface. Human Interaction with Machines: Proceedings of the 6th International Workshop held at the Shanghai Jiao Tong University.

Sören Sonnenburg, Gunnar R\ẗsch, Christin Sch\"ër (2006). A General and Efficient Multiple Kernel Learning Algorithm. Advances in Neural Information Processing Systems 18.

G. Rätsch, S. Sonnenburg, B. Schölkopf (2005). RASE: Recognition of Alternatively Spliced Exons in C. elegans. Proceedings of the Annual International conference on Intelligent Systems for Molecular Biology (ISMB).

Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller (2005). Visualization of anomaly detection using prediction sensitivity. Proc. of Conference ``Sicherheit, Schutz und Zuverlässigkeit’’ (SICHERHEIT).

Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Gabriel Curio (2005). The Berlin Brain-Computer Interface: Report from the Feedback Sessions.

Mikio L. Braun (2005). Spectral Properties of the Kernel Matrix and their Relation to Kernel Methods in Machine Learning.

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Steven Lemm, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2005). Spatio-Spectral Filters for Improving Classification of Single Trial EEG. ieeetransbiomedeng.

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Frank C.~Meinecke, Andreas Ziehe, Jürgen Kurths, Klaus-Robert Müller (2005). Measuring Phase Synchronization of Superimposed Signals. Physical Review Letters.

M.~Kawanabe (2005). Linear dimension reduction based on the fourth-order cumulant tensor. Proc. of Artifical Neural Networks – ICANN 2005.

Pavel Laskov, Patrick Düssel, Christin Sch\f̈er, Konrad Rieck (2005). Learning intrusion detection: supervised or unsupervised?. Image Analysis and Processing, Proc. of 13th ICIAP Conference.

Sören Sonnenburg, Gunnar Rätsch, Christin ~Schäfer (2005). Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005, LNBI 3500.

Kai Yu, Volker Tresp, Anton Schwaighofer (2005). Learning Gaussian Processes from Multiple Tasks. Machine Learning: Proceedings of the 22nd International Conference (ICML 2005).

Anton Schwaighofer, Volker Tresp, Kai Yu (2005). Learning Gaussian Process Kernels via Hierarchical Bayes. Advances in Neural Inf.~Proc.~Systems (NIPS 2004).

Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf (2005). Large Scale Genomic Sequence SVM Classifiers. Proceedings of the International Conference on MachineLearning, ICML.

Gilles Blanchard, Pascal Massart, Régis Vert, Laurent Zwald (2005). Kernel projection machine: a new tool for pattern recognition. Advances in Neural Inf. Proc. Systems (NIPS 04).

S. Sugiyama, K. -R. Müller (2005). Input-Dependent Estimation of Generalization Error under Covariate Shift. Statistics and Decisions.

Frank C.~Meinecke, Stefan Harmeling, Klaus-Robert Müller (2005). Inlier-based ICA with an application to super-imposed images. International Journal of Imaging Systems and Technology.

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Gilles Blanchard, Donald Geman (2005). Hierarchical testing designs for pattern recognition. Annals of Statistics.

Christin Schäfer, Julian Laub (2005). GfKl 2004 contest: Annealed $k$-means clustering and Decision Trees. Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation.

M.~Kawanabe, K. -R. Müller (2005). Estimating functions for blind separation when sources have variance dependencies. Journal of Machine Learning Research.

Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich (2005). Classifying 'Drug-likeness' with Kernel-Based Learning Methods. J. Chem. Inf. Model.

Christin Schäfer, Steven Lemm, Gabriel Curio (2005). Binary on-line classification based on temporally integrated information. Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation.

Benjamin Blankertz (2005). BCI Competition IV Results (web page).

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Benjamin Blankertz (2005). BCI Competition III Results (web page).

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Christin Schäfer, J̈̊g-Peter Schr\"l̈er, Klaus-Robert M\"uër, Gert G. Wagner (2005). Automatic Identification of Faked and Fraudulent Interviews in the German SOEP. Schmollers Jahrbuch,Duncker & Humblot, Berlin.

Guido Nolte, George Dassios (2005). Analytic expansion of the EEG lead field for realistic volume conductors. Physics in Medicine and Biology.

J. Laub, K. -R. Müller (2004). Feature Discovery in Non-Metric Pairwise Data. Journal of Machine Learning.

Masashi Sugiyama, Hidemitsu Ogawa (2004). Designing Kernel Functions Using the Karhunen-Loeve Expansion. Proceedings of Sixteenth International Symposium on Mathematical Theory of Networks and Systems.

Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller (2004). A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. Journal of Machine Learning Research.

Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2004). Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms. ieeetransbiomedeng.

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Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller (2004). Regularizing Generalization Error Estimators: A Novel Approach to Robust Model Selection. Proceedings of the 12th European Symposium on Artificial Neural Networks.

S. Knabe, S. Mika, W. Schruff (2004). Zur Beurteilung des Fraud-Risikos im Rahmen der Abschlussprüfung. Die Wirtschaftsprüfung.

Caspar von~Wrede, Pavel Laskov (2004). Using classification to determine the number of finger strokes on a multi-touch tactile device. Proc.~ESANN.

Gilles Blanchard (2004). Un algorithme accéléré d'échantillonnage Bayésien pour le modèle CART. Revue d’Intelligence artificielle.

Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller (2004). Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. Neural Computation.

Jens Kohlmorgen (2004). Tracking and Visualization of Changes in High-Dimensional Non-Parametric Distributions. Machine Learning for Signal Processing XIV.

Matthias Krauledat, Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2004). The Berlin Brain-Computer Interface For Rapid Response. biomedtech.

Benjamin Blankertz, Klaus-Robert Müller, Gabriel Curio, Theresa M. Vaughan, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schl\g̈l, Christa Neuper, Gert Pfurtscheller, Thilo Hinterberger, Michael Schr\"ër, Niels Birbaumer (2004). The BCI Competition 2003: Progress and Perspectives in Detection and Discrimination of EEG Single Trials. ieeetransbiomedeng.

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Sebastian Mika, Christin Schäfer, Pavel Laskov, David Tax, Klaus-Robert M\l̈ler (2004). Support Vector Machines. Handbook of Computational Statistics.

Olivier Bousquet, Laurent Zwald, Gilles Blanchard (2004). Statistical properties of Kernel Principal Component Analysis. Proceedings of the 17th. Conference on Learning Theory (COLT 2004).

Hendrik Purwins, Benjamin Blankertz, Guido Dornhege, Klaus Obermayer (2004). Scale Degree Profiles from Audio Investigated with Machine Learning Techniques. Audio Engineering Society 116th Convention.

Frank C.~Meinecke, Stefan Harmeling, Klaus-Robert Müller (2004). Robust ICA for Super-Gaussian Sources. Proc.~Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2004).

Steven Lemm, Christin Schäfer, Gabriel Curio (2004). Probabilistic Modeling of Sensorimotor $μ$-Rhythms for Classification of Imaginary Hand Movements. ieeetransbiomedeng.

Masashi Sugiyama, Yuta Okabe, Hidemitsu Ogawa (2004). Perturbation Analysis of a Generalization Error Estimator. Neural Information Processing - Letters and Reviews.

Gilles Blanchard, Christin Schäfer, Yves Rozenholc (2004). Oracle bounds and exact algorithm for dyadic classification trees. Proceedings of the 17th. Conference on Learning Theory (COLT 2004).

Masashi Sugiyama, Yuta Okabe, Hidemitsu Ogawa (2004). On the Influence of Input Noise on a Generalization Error Estimator. Artificial Intelligence and Applications.

M.~Kawanabe (2004). New algorithms for blind separation when sources have spatial variance dependencies. Proc. of the symposium on Brain Inspired Cognitive Systems (BICS2004).

Mathäus Dejori, Anton Schwaighofer, Volker Tresp, Martin Stetter (2004). Mining Functional Modules in Genetic Networks with Decomposable Graphical Models. OMICS Journal of Integrative Biology.

Klaus-Robert Müller, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Benjamin Blankertz (2004). Machine learning techniques for Brain-Computer Interfaces. biomedtech.

P.~Laskov, C.~Schäfer, I.~Kotenko, K.-R.~Müller (2004). Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines (Extended Version). Praxis der Informationsverarbeitung und Kommunikation.

P.~Laskov, C.~Schäfer, I.~Kotenko (2004). Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of DIMVA Conference.

Stefan Harmeling, Frank C.~Meinecke, Klaus-Robert Müller (2004). Injecting noise for analysing the stability of ICA components. Signal Processing.

Erkki Oja, Stefan Harmeling, Luis Almeida (2004). Independent component analysis and beyond --- Editorial for the special section on ICA. Signal Processing.

Matthias Krauledat, Guido Dornhege, Benjamin Blankertz, Florian Losch, Gabriel Curio, Klaus-Robert Müller (2004). Improving Speed And Accuracy Of Brain-Computer Interfaces Using Readiness Potential Features. confprocieeeengmedbiolsoc.

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G. Nolte, O. Bai, L. Wheaton, Z. Mari, S. Vorbach, M. Hallett (2004). Identifying true brain interaction from EEG data using the imaginary part of coherency. clinneurophysiol.

M.A.L. Nicolelis, N. Birbaumer, K. -R. Müller (2004). Guest Editorial: Special Issue on Brain Computer Interfaces.

Masashi Sugiyama (2004). Estimating the Error at Given Test Input Points for Linear Regression. Neural Networks and Computational Intelligence.

M.~Kawanabe, K.-R.~Müller (2004). Estimating functions for blind separation when sources have variance-dependencies. Proc. of ICA2004.

Gilles Blanchard (2004). Different paradigms for choosing sequential reweighting algorithms. Neural Computation.

Hendrik Purwins, Thore Graepel, Benjamin Blankertz, Klaus Obermayer (2004). Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer. Perspectives in Mathematical and Computational Music Theory.

Roman Krepki (2004). Brain-Computer Interfaces: Design and Implementation of an Online BCI System of the Control in Gaming Applications and Virtual Limbs.

Thilo Hinterberger, Stefan Schmidt, Nicola Neumann, Jürgen Mellinger, Benjamin Blankertz, Gabriel Curio, Niels Birbaumer (2004). Brain-Computer Communication with Slow Cortical Potentials: Methodology and Critical Aspects. ieeetransbiomedeng.

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Klaus-Robert Müller, Ricardo Vigario, Frank C.~Meinecke, Andreas Ziehe (2004). Blind Source Separation Techniques For Decomposing Event-Related Brain Signals. International Journal of Bifurcation and Chaos.

Benjamin Blankertz (2004). BCI Competition III (web page).

Gilles Blanchard, Benjamin Blankertz (2004). BCI Competition 2003 -- Data Set IIa: Spatial Patterns of Self-Controlled Brain Rhythm Modulations. ieeetransbiomedeng.

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Jens Kohlmorgen, Benjamin Blankertz (2004). Bayesian Classification of Single-Trial Event-Related Potentials in EEG. ijbc.

K.~Tsuda, S.~Akaho, M.~Kawanabe, K.-R.~Müller (2004). Asymptotic properties of the Fisher kernel. Neural Computation.

A. Yeredor, A. Ziehe, K. -R. Müller (2004). Approximate joint diagonalization using a natural-gradient approach. Lecture Notes in Computer Science.

G.~Rätsch, S.~Sonnenburg (2004). Accurate Splice Site Prediction for Caenorhabditis Elegans. Kernel Methods in Computational Biology.

Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2004). Increase Information Transfer Rates in BCI by CSP Extension to Multi-class. Advances in Neural Information Processing Systems.

V.~Roth, J~Laub, M.~Kawanabe, J.M.~Buhmann (2003). Optimal Cluster Preserving Embedding of Non-Metric Proximity Data. IEEE Trans. PAMI.

Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller (2003). Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation. Journal of Machine Learning Research.

Frank C.~Meinecke (2003). Resampling Techniken für ICA und ihre Anwendungen in der biomedizinischen Datenanalyse.

S.~Mika, G.~Rätsch, J~Weston, B.~Schölkopf, A.~Smola, K.-R.~Müller (2003). Constructing Descriptive and Discriminative Non-Linear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Transaction on Pattern Analysis and Machine Intelligence.

A.~Ziehe, M.~Kawanabe, S.~Harmeling, K.-R.~Müller (2003). Blind Separation of Post-Nonlinear Mixtures using Gaussianizing Transformations and Temporal Decorrelation. ica03.

A.~Ziehe, P. Laskov, K. -R. Müller, G. Nolte (2003). A Linear Least-Squares Algorithm for Joint Diagonalization. ica03.

Roman Krepki, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2003). The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control of multimedia applications and computer games. 9th International Conference on Distributed Multimedia Systems (DMS'03).

Guido Dornhege, Benjamin Blankertz, Gabriel Curio (2003). Speeding up classification of multi-channel Brain-Computer Interfaces: Common spatial patterns for slow cortical potentials. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering. Capri 2003.

G.~Rätsch (2003). Robust Multi-Class Boosting. Proc. Euro-Speech.

O.~Weiss, A.~Ziehe, H.~Herzel (2003). Optimizing Property Codes in Protein Data Reveals Structural Characteristics. ICANN/ICONIP 2003.

D.M.J.~Tax, P.~Laskov (2003). Online SVM learning: from classification to data description and back. Proc. NNSP.

Gilles Blanchard, Gabor Lugosi, Nicolas Vayatis (2003). On the rate of convergence of regularized Boosting classifiers.. Journal of Machine Learning Research.

Jens Kohlmorgen (2003). On Optimal Segmentation of Sequential Data. Neural Networks for Signal Processing XIII.

Klaus-Robert Müller, Charles W. Anderson, Gary E. Birch (2003). Linear and Non-Linear Methods for Brain-Computer Interfaces. ieeetransneuralsystrehabileng.

Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J Smola, Klaus-Robert Müller (2003). Learning discriminative and invariant nonlinear features. IEEE Transactions on Pattern Analysis and Machine Intelligence.

S.~Harmeling, A.~Ziehe, M.~Kawanabe, K.-R.~Müller (2003). Kernel-based Nonlinear Blind Source Separation. Neural Computation.

D.M.J. Tax, P. Juszczak (2003). Kernel whitening for one-class classification. International journal of pattern recognition and artificial intelligence.

V.~Roth, J.~Laub, J.M.~Buhmann, K.--R.~Müller (2003). Going metric: Denoising pairwise data. Advances in Neural Information Processing 15.

D.M.J. Tax, K. -R. Müller (2003). Feature extraction for one-class classification. ICANN/ICONIP.

Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2003). Combining Features for BCI. Advances in Neural Inf. Proc. Systems (NIPS 02).

K.~Tsuda, M.~Kawanabe, K.-R.~Müller (2003). Clustering with the Fisher score. Advances in Neural Information Processing 15.

Benjamin Blankertz, Guido Dornhege, Christin Schäfer, Roman Krepki, Jens Kohlmorgen, Klaus-Robert M\l̈ler, Volker Kunzmann, Florian Losch, Gabriel Curio (2003). Boosting Bit Rates and Error Detection for the Classification of Fast-Paced Motor Commands Based on Single-Trial EEG Analysis. ieeetransneuralsystrehabileng.

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Benjamin Blankertz (2003). BCI Competition 2003 Results (web page).

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Benjamin Blankertz (2003). BCI Competition 2003 (web page).

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Stefan Harmeling, Frank C.~Meinecke, Klaus-Robert Müller (2003). Analysing ICA components by injecting noise. Proc.~Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2003).

G.~Rätsch, A.J.~Smola, S.~Mika (2003). Adapting Codes and Embeddings for Polychotomies. Advances in Neural Information Processing 15.

G.~Rätsch, A.J.~Smola, S.~Mika (2003). Adapting Codes and Embeddings for Polychotomies. Advances in Neural information processing systems.

M.~K Warmuth, J. Liao, G. Rätsch, S. Putta, C. Lemmem (2003). Active Learning with Support Vector Machines in the Drug Discovery Process. Journal of Chemical Information and Computer Sciences.

Paul Sajda, Adam Gerson, Klaus-Robert Müller, Benjamin Blankertz, Lucas Parra (2003). A Data Analysis Competition to Evaluate Machine Learning Algorithms for use in Brain-Computer Interfaces. ieeetransneuralsystrehabileng.

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R.~Vigário, A.~Ziehe, K.-R.~Müller, J.~Särelä, E.~Oja, V.~Jousmäki, G.~Wübbeler, L.~Trahms, B.-M.~Mackert, G.~Curio (2002). Blind decomposition of multimodal and DC evoked responses. Advances in Exploratory analysis and data modeling in functional neuroimaging.

S.~Mika (2002). Kernel Fisher Discriminants.

G.~Rätsch, S.~Mika, B.~Sch\l̈kopf, K.-R.~M\"l̈er (2002). Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Masashi Sugiyama, Klaus-Robert Müller (2002). The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces. Journal of Machine Learning Research.

K.~Tsuda, M.~Kawanabe (2002). The leave-one-out kernel. Artificial Neural Networks – ICANN 2002.

Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller (2002). Subspace Information Criterion for Sparse Regressors. IEICE Transactions.

Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller (2002). Subspace Information Criterion for Non-Quadratic Regularizers - Model Selection for Sparse Regressors. IEEE Transactions on Neural Networks.

G.~Rätsch, A.~Demiriz, K.~Bennett (2002). Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Machine Learning special issue on ``New Methods for Model Selection and Model Combination’'.

Benjamin Blankertz, Christin Schäfer, Guido Dornhege, Gabriel Curio (2002). Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI transmission rates. Artificial Neural Networks – ICANN 2002.

Masashi Sugiyama, Klaus-Robert Müller (2002). Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. Artificial Neural Networks.

V.~Roth, J.~Laub, M.~Kawanabe, J.M.~Buhmann (2002). Optimal Cluster Preserving Embedding of Non-Metric Proximity Data.

E. Pekalska, D.M.J. Tax, R.P.W. Duin (2002). One-class LP classifier for dissimilarity representations. Neural Information Processing Systems.

N.~Murata, M.~Kawanabe, A.~Ziehe, K.-R.~Müller, S.-I.~Amari (2002). On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks.

G.~Rätsch, S.~Mika, M.K.~Warmuth (2002). On the Convergence of Leveraging. Advances in Neural information processing systems.

C. Lai, D.M.J. Tax, R.P.W. Duin, E. Pekalska, P. Paclik (2002). On combining one-class classifiers for image database retrieval. 3rd international workshop on multiple classifier systems.

S.~Sonnenburg, G.~Rätsch, A.~Jagota, K.-R.~M\l̈ler (2002). New Methods for Splice-Site Recognition. In Proceedings of the International Conference on Artifical Neural Networks..

S.~Sonnenburg (2002). New Methods for Splice Site Recognition.

S.~Harmeling, A.~Ziehe, M.~Kawanabe, K.-R.~Müller (2002). Kernel-based Nonlinear Blind Source Separation.

S.~Harmeling, A.~Ziehe, M.~Kawanabe, K.-R.~Müller (2002). Kernel feature spaces and Nonlinear blind source separation. Advances in Neural Information Processing Systems.

P. Juszczak, D.M.J. Tax, R.P.W. Duin (2002). Feature scaling in support vector data description. Advanced School for Computing and Imaging 2002 Conference.

Frank C.~Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller (2002). Estimating the Reliability of ICA Projections. Advances in Neural Information Processing Systems 14.

Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller (2002). Classifying Single Trial EEG: Towards Brain Computer Interfacing. Advances in Neural Inf. Proc. Systems (NIPS 01).

M.K.~Warmuth, G.~Rätsch, M.~Mathieson, J.~Liao, C.~Lemmen (2002). Active Learning in the Drug Discovery Process. Advances in Neural Information Processings Systems.

Jens Kohlmorgen, Benjamin Blankertz (2002). A Simple Generative Model for Single-Trial EEG Classification. Artificial Neural Networks – ICANN 2002.

Frank C.~Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller (2002). A Resampling Approach to Estimate the Stability of one- or multidimensional Independent Components. ieeetransbiomedeng.

K.~Tsuda, M.~Kawanabe, G.~Rätsch, S.~Sonnenburg, K.R.~Müller (2002). A New Discriminative Kernel from Probabilistic Models. Advances in Neural information processings systems.

K.~Tsuda, M.~Kawanabe, G.~Rätsch, S.~Sonnenburg, K.R.~Müller (2002). A New Discriminative Kernel from Probabilistic Models. Neural Computation.

Jens Kohlmorgen, Steven Lemm (2002). A Dynamic HMM for On-line Segmentation of Sequential Data. Advances in Neural Information Processing Systems 14.

G.~Rätsch (2001). Robust Boosting via Convex Optimization.

T.~Onoda, G.~Rätsch, K.R.~Müller (2001). An Arcing algorithm with an intuitive learning control parameter. Journal of the Japanese Society for AI.

G.~Rätsch, S.~Mika, M.K.~Warmuth (2001). On the Convergence of Leveraging.

Noboru Murata, Shiro Ikeda, Andreas Ziehe (2001). An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals. Neurocomputing.

Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller (2001). Subspace Information Criterion for Sparse Regressors. Proceedings of 2001 Workshop on Information-Based Induction Sciences (IBIS2001).

G.~Rätsch, M.K.~Warmuth (2001). Marginal Boosting.

A.J.~Smola, S.~Mika, B.~Schölkopf, R.C.~Williamson (2001). Regularized Principal Manifolds. Journal of Machine Learning Research.

G.~Nolte, A.~Ziehe, K.-R.~Müller (2001). Noise robust estimates of correlation dimension and $K_2$ entropy. Phys.rev.E.

K.-R.~Müller, S.~Mika, G.~Rätsch, K.~Tsuda, B.~Schölkopf (2001). An Introduction to Kernel-based Learning Algorithms. IEEE Neural Networks.

G.~Rätsch, T.~Onoda, K.-R.~Müller (2001). Soft Margins for AdaBoost. Machine Learning.

A.~Ziehe, M.~Kawanabe, S.~Harmeling, K.-R.~Müller (2001). Separation of post-nonlinear mixtures using ACE and temporal decorrelation. Proc.~Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001).

S. Harmeling, A. Ziehe, M. Kawanabe, B. Blankertz, K. -R. Müller (2001). Nonlinear blind source separation using kernel feature spaces. Proc.~Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001).

K.~Tsuda, G.~Rätsch, S.~Mika, K.-R.~Müller (2001). Learning To Predict the Leave-one-out Error of Kernel based classifiers. Proc. ICANN'01.

S.~Sonnenburg (2001). Hidden Markov Model for Genome Analysis.

Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer (2001). Constant Q Profiles for Tracking Modulations in Audio Data. International Computer Music Conference (Cuba).

Frank C.~Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller (2001). Assessing reliability of ICA projections -- a resampling approach. Proc.~Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001).

Jens Kohlmorgen, Steven Lemm (2001). An On-line Method for Segmentation and Identification of Non-stationary Time Series. Neural Networks for Signal Processing XI.

S.~Mika, A.J.~Smola, B.~Schölkopf (2001). An Improved Training Algorithm for Kernel Fisher Discriminants. Proceedings AISTATS 2001.

S.~Mika, G.~Rätsch, K.-R.~Müller (2001). A mathematical programming approach to the Kernel Fisher algorithm. Advances in Neural Information Processing Systems.

A.~Ziehe, G.~Nolte, T.~Sander, K.-R.~Müller, G. Curio (2001). A comparison of ICA-based artifact reduction methods for MEG . Recent Advances in Biomagnetism, Proc. of the 12th International conference on Biomagnetism.

G.~Rätsch, B.~Sch\l̈kopf, S.~Mika, K.-R.~M\"l̈er (2000). SVM and Boosting: One Class.

G.~Rätsch, A.~Demiriz, K.~Bennett (2000). Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.

A.~Zien, G.~Rätsch, S.~Mika, B.~Schölkopf, T.~Lengauer, K.-R.~Müller (2000). Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA. BioInformatics.

A.~Ziehe, G.~Nolte, G.~Curio, K.-R.~Müller (2000). OFI: Optimal filtering algorithms for Source Separation. ICA 2000.

G.~Rätsch, B.~Schölkopf, A.J.~Smola, S.~Mika, T.~Onoda, K.-R.~Müller (2000). Robust Ensemble Learning for Data Mining. Proceedings of PAKDD'2000.

T.~Onoda, G.~Rätsch (2000). Trends in Boosting Research and Applications.

T.~Onoda, G.~Rätsch, K.-R.~Müller (2000). An asymptotical Analysis and Improvement of AdaBoost in the binary classification case. Journal of the Japanese Society for AI.

G.~Rätsch, M.~Warmuth, S.~Mika, T.~Onoda, S.~Lemm, K.-R.~Müller (2000). Barrier Boosting. Proc. COLT'00.

L. Parra, C. Spence, P. Sajda, A. Ziehe, K. -R. Müller (2000). Unmixing Hyperspectral Data. Advances in Neural Information Processing Systems.

Klaus-Robert Müller, Gunnar R\ẗsch, Jens Kohlmorgen, Alexander Smola, Bernhard Sch\"k̈pf, Vapnik Vladimir (2000). Time series prediction using support vector regression and neural networks. 2nd International Sympsium on Frontiers of Time Series Modelling: Nonparametric Approach to Knowledge Diescovery.

G.~Rätsch, B.~Schölkopf, A.J.~Smola, S.~Mika, T.~Onoda, K.--R.~Müller (2000). Robust Ensemble Learning. Proc. of the NIPS98 Workshop on Large Margin Classifiers: Advances in Large Margin Classifiers*.

Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller (2000). Prediction of Financial Data with Hidden Markov Mixtures of Experts. Int.~Journal of Theoretical and Applied Finance.

Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer (2000). Modelle der Musikwahrnehmung zwischen auditorischer Neurophysiologie und Psychoakustik. KlangForschung ‘99.

S.~Mika, G.~Rätsch, J.~Weston, B.~Schölkopf, A.J.~Smola, K.--R.~Müller (2000). Learning Discriminative and Invariant Nonlinear Features.

S.~Mika, G.~Rätsch, J.~Weston, B.~Schölkopf, A.J.~Smola, K.--R.~Müller (2000). Invariant Feature Extraction and Classification in Kernel Spaces. Proc. NIPS 12.

G.~Wübbeler, A.~Ziehe, B.-M.~Mackert, K.-R.~Müller, L.~Trahms, G.~Curio (2000). Independent Component Analysis of Non-invasively Recorded Cortical Magnetic DC-fields in Humans. IEEE Transactions on Biomedical Engineering.

Jens Kohlmorgen, Klaus-Robert Müller, Jörn Rittweger, Klaus Pawelzik (2000). Identification of Nonstationary Dynamics in Physiological Recordings. biolcybern.

Klaus-Robert Müller, Jens Kohlmorgen, Andreas Ziehe, Benjamin Blankertz (2000). Decomposition Algorithms for Analysing Brain Signals. Adaptive Systems for Signal Processing, Communications and Control.

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Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer (2000). Computing Auditory Perception. Organised Sound.

A. Ziehe, K. -R. Müller, G. Nolte, B. -M. Mackert, G. Curio (2000). Artifact reduction in magnetoneurography based on time-delayed second-order correlations. ieeetransbiomedeng.

Jens Kohlmorgen, Steven Lemm, Gunnar Rätsch, Klaus-Robert Müller (2000). Analysis of Nonstationary Time Series by Mixtures of Self-Organizing Predictors. Neural Networks for Signal Processing X.

S.~Mika, A.J.~Smola, B.~Schölkopf (2000). An Improved Training Algorithm for Kernel Fisher Discriminants.

S. Solla, T. Leen, K.-R. (eds.) Müller (2000). Advances in Neural Information Processing System 12 (NIPS'99). MIT Press.

T.~Onoda, G.~Rätsch, K.-R.~Müller (2000). A Non-Intrusive Monitoring System for Household Electric Appliances with Inverters. Proc.~of NC'2000.

G.~Rätsch, B.~Schölkopf, A.J.~Smola, K.--R.~Müller, T.~Onoda, S.~Mika (2000). $ν $-Arc: Ensemble Learning in the Presence of Outliers. Proc. NIPS 12.

B.~Schölkopf, S.~Mika, C.J.C.~Burges, P.~Knirsch, K.--R.~Müller, G.~Rätsch, A.J.~Smola (1999). Input Space vs.~Feature Space in Kernel-Based Methods. ieeetransneuralnetw.

A.J.~Smola, R.C.~Williamson, S.~Mika, B.~Schölkopf (1999). Regularized Principal Manifolds. Proceedings of EuroCOLT 99).

G.~Rätsch, T.~Onoda, K.--R.~Müller (1999). Regularizing AdaBoost. Proc. NIPS 11.

A.~Smola, B.~Schölkopf, G.~Rätsch (1999). Linear Programs for Automatic Accuracy Control in Regression. Proc. ICANN'99.

S.~Mika, B.~Schölkopf, A.J.~Smola, K.-R.~M\l̈ler, M.~Scholz, G.~R\"s̈ch (1999). Kernel PCA and De--Noising in Feature Spaces. Advances in Neural Inf. Proc. Systems (NIPS 98).

Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller (1999). Hidden Markov Mixtures of Experts with an Application to EEG Recordings from Sleep. Theory in Biosciences.

Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller (1999). Hidden Markov Mixtures of Experts for Prediction of Non-Stationary Dynamics. Neural Networks for Signal Processing IX.

Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller (1999). Hidden Markov Gating for Prediction of Change Points in Switching Dynamical Systems. ESANN ‘99: Proc.~of the European Symposium on Artificial Neural Networks.

S.~Mika, G.~Rätsch, J.~Weston, B.~Schölkopf, K.-R.~Müller (1999). Fisher Discriminant Analysis with Kernels. Neural Networks for Signal Processing IX.

Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller, Stefan Liehr, Klaus Pawelzik (1999). Fast Change Point Detection in Switching Dynamics using a Hidden Markov Model of Prediction Experts. Artificial Neural Networks – ICANN ‘99.

A.~Zien, G.~Rätsch, S.~Mika, C.~Lemmen B.~Schölkopf, A.J.~Smola, T.~Lengauer, K.-R.~Mueller (1999). Engineering Support Vector Machine Kernel That Recognize Translation Initiation Sites in DNA. Proceedings GCB'99.

T.~Graepel, R.~Herbrich, B.~Schölkopf, A.J.~Smola, P.L.~Bartlett, K.--R.~Müller, K.~Obermayer, R.C.~Williamson (1999). Classification on Proximity Data with LP-Machines. Proceedings of ICANN'99.

A. Ziehe, K. -R. Müller, G. Nolte, B. -M. Mackert, G. Curio (1999). Artifact removal in magneto-neurographic recordings with ICA using temporal information. Recent Advances in Biomagnetism, Proc. of the 11th international conference on Biomagnetism.

K. -R. Müller, P. Philips, A. Ziehe (1999). $JADE_TD$: Combining higher-order statistics and temporal information for blind source separation (with noise). ICA ‘99.

S.~Mika (1998). Kernel algorithms for nonlinear signal processing in feature spaces.

Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence Sejnowski (1998). Combining Time-Delayed Decorrelation and ICA: Towards Solving the Cocktail Party Problem. Proc.~ICASSP98.

G.~Rätsch, T.~Onoda, K.--R.~Müller (1998). An improvement of AdaBoost to avoid overfitting. Proc. ICONIP.

G.~Rätsch (1998). Ensemble Learning Methods for Classification.

T.~Onoda, G.~Rätsch, K.-R.~Müller (1998). An asymptotic analysis of AdaBoost in the binary classification case. Proc. ICANN'98.

K.-R.~Müller, A.~Smola, G.~Rätsch, B.~Schölkopf, J.~Kohlmorgen, V.~Vapnik (1998). Using Support Vector Machines for Time Series Prediction. Advances in Kernel Methods - Support Vector Learning, Proc. of the NIPS Workshop on Support Vectors.

A. Ziehe, K. -R. Müller (1998). TDSEP -- an efficient algorithm for blind separation using time structure. Proc. of the 8th International Conference on Artificial Neural Networks, ICANN'98.

Andreas Ziehe (1998). Statistische Verfahren zur Signalquellentrennung.

G.~Rätsch, T.~Onoda, K.--R.~Müller (1998). Soft Margins for AdaBoost.

A.J.~Smola, S.~Mika, B.~Schölkopf (1998). Quantization Functionals and Regularized Principal Manifolds.

K. -R. Müller, N. Murata, A. Ziehe, S. -I. Amari (1998). On-line learning in Switching and Drifting environments with application to blind source separation. Cambridge University Press.

B.~Schölkopf, A.J.~Smola, K.-R.~M\l̈ler (1998). Nonlinear component analysis as a kernel eigenvalue problem. neuralcomput.

Genevieve Orr, Klaus-Robert Müller (1998). Neural Networks: Tricks of the Trade. Springer Heidelberg.

B.~Schölkopf, S.~Mika, A.J.~Smola, G.~R\ẗsch, K.-R.~M\"l̈er (1998). Kernel PCA Pattern Reconstruction emphvia Approximate Pre-Images. Proceedings of the 8th International Conference on Artificial Neural Networks.

Th. Hies, A. Ziehe, U. Eysholdt, K. -R. Müller (1998). Independent Component Analysis (ICA) von mehrkanaligen EEG-Daten mittels temporaler Dekorrelation. Medizinische Physik ‘98.

Jens Kohlmorgen, Klaus-Robert Müller (1998). Data Set A is a Pattern Matching Problem. Neural Processing Letters.

Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, Bruno-Marcel Mackert, Gabriel Curio (1998). Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations.

Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik (1998). Analysis of Drifting Dynamics with Neural Network Hidden Markov Models. Advances in Neural Information Processing Systems 10.

Jens Kohlmorgen (1998). Analyse schaltender und driftender Dynamik mit neuronalen Netzen. GMD, ISBN 3-88457-346-2.

Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik (1997). Segmentation and Identification of Drifting Dynamical Systems. Neural Networks for Signal Processing VII.

K.-R.~Müller, A.~Smola, G.~Rätsch, B.~Schölkopf, J.~Kohlmorgen, V.~Vapnik (1997). Predicting Time Series with Support Vector Machines. Artificial Neural Networks – ICANN ‘97.

Bernhard Schölkopf, Alexander Smola, Klaus-Robert Müller (1997). Kernel principal component analysis. Artificial Neural Networks—ICANN'97.

Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen (1997). Divisive Strategies for Predicting Non-Autonomous and Mixed Systems.

S.~Amari, N.~Murata, K.-R.~Müller, M.~Finke, H.~Yang (1997). Asymptotic Statistical Theory of Overtraining and Cross-Validation. ieeetransneuralnetw.

Jens Kohlmorgen, Klaus-Robert Müller, Jörn Rittweger, Klaus Pawelzik (1997). Analysis of Wake/Sleep EEG with Competing Experts. Artificial Neural Networks – ICANN ‘97.

Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen (1996). Prediction of Mixtures. Artificial Neural Networks – ICANN ‘96.

Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller (1996). Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics. Neural Computation.

Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik (1996). Analysis of Drifting Dynamics with Competing Predictors. Artificial Neural Networks – ICANN ‘96.

Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik (1995). Improving Short-Term Prediction with Competing Experts. Artificial Neural Networks – ICANN ‘95.

Klaus-Robert Müller, Jens Kohlmorgen, Klaus Pawelzik (1995). Analysis of Switching Dynamics with Competing Neural Networks. IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science.

Klaus-Robert Müller, Jens Kohlmorgen, Jörn Rittweger, Klaus Pawelzik (1995). Analysing Physiological Data from the Wake-Sleep State Transition with Competing Predictors. NOLTA ‘95: Las Vegas Symposium on Nonlinear Theory and its Applications.

Klaus-Robert Müller, Jens Kohlmorgen, Klaus Pawelzik (1994). The Use of Competing Neural Networks for Segmentation and Identification of Switching Dynamics. NOLTA ‘94: Kagoshima Symposium on Nonlinear Theory and its Applications.

Klaus-Robert Müller, Jens Kohlmorgen, Klaus Pawelzik (1994). Segmentation and Identification of Switching Dynamics with Competing Neural Networks. ICONIP ‘94: Proc. of the Int. Conf. on Neural Information Processing.

Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik (1994). Competing Predictors Segment and Identify Switching Dynamics. Artificial Neural Networks – ICANN ‘94.