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.
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.
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).
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.
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.
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.
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
Lucas Deecke,
Lukas Ruff,
Robert A. Vandermeulen,
Hakan Bilen
(2021).
Transfer-Based Semantic Anomaly Detection.
Proceedings of the 38th International Conference on Machine Learning.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
S. Mandt,
F. Wenzel,
S. Nakajima,
J. Cunningham,
C. Lippert,
M. Kloft
(2017).
Sparse Probit Linear Mixed Model.
Machine Learning (ECMLPKDD 2017 Special Issue).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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).
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.
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.
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.
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.
Felix Bießmann,
Sergey M Plis,
Frank C. Meinecke,
Tom Eichele,
Klaus-Robert Müller
(2011).
Analysis of Multimodal Neuroimaging Data.
Biomedical Engineering, IEEE Reviews in.
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).
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.
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).
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.
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.
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.
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.
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).
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).
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.
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.
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).
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.
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.
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).
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.
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.
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.
Sören Sonnenburg,
Gunnar R\ẗsch,
Christin Sch\"ër,
Bernhard Sch\"oöpf
(2006).
Large Scale Multiple Kernel Learning.
Journal of Machine Learning Research.
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.
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.
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.
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).
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.
Guido Dornhege,
Benjamin Blankertz,
Gabriel Curio,
Klaus-Robert Müller
(2003).
Combining Features for BCI.
Advances in Neural Inf. Proc. Systems (NIPS 02).
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).
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.~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..
Frank C.~Meinecke,
Andreas Ziehe,
Motoaki Kawanabe,
Klaus-Robert Müller
(2002).
Estimating the Reliability of ICA Projections.
Advances in Neural Information Processing Systems 14.
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*.
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.