Machine Learning Group, TU Berlin - Publications

Note that the PDFs available on this web page are the authors' draft versions of the respective papers. The authoratative versions must be retrieved from the publisher.

2014

Journal papers

D. A. Blythe, S. Haufe, K. R. Müller, V. V. Nikulin, The effect of linear mixing in the EEG on Hurst exponent estimation
NeuroImage, 2014 [bibtex]

S. Dähne, V. V. Nikulin, D. Ramírez, P. J. Schreier, K. R. Müller, S. Haufe, Finding brain oscillations with power dependencies in neuroimaging data
NeuroImage, 96:334-348, 2014 [bibtex] [pdf] [url]

S. Dähne, F. C. Meinecke, S. Haufe, J. Höhne, M. Tangermann, K. R. Müller, V. V. Nikulin, SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters
NeuroImage, 86(0):111-122, 2014 [bibtex] [url]

J. Höhne, M. Tangermann, Towards User-Friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm
PloS one, Public Library of Science, 9(6):e98322, 2014 [bibtex] [url]

S. Haufe, J. Kim, I. Kim, A. Sonnleitner, M. Schrauf, G. Curio, B. Blankertz, Electrophysiology-based detection of emergency braking intention in real-world driving, in press
Journal of neural engineering, 2014 [bibtex]

S. Haufe, F. Meinecke, K. Görgen, S. Dähne, J. Haynes, B. Blankertz, F. Biessmann, On the interpretation of weight vectors of linear models in multivariate neuroimaging
NeuroImage, 87:96-110, 2014 [bibtex] [url]

S. Haufe, S. Dähne, V. V. Nikulin, Dimensionality reduction for the analysis of brain oscillations
NeuroImage, 2014 [bibtex]

M. Kawanabe, W. Samek, K. R. Müller, C. Vidaurre, Robust Common Spatial filters with a Maxmin Approach
Neural Computation, 26(2):1-28, 2014 [bibtex] [url]

P. Kindermans, M. Tangermann, K. R. Müller, B. Schrauwen, Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
jneuraleng, 11(3):035005, 2014 [bibtex] [url]

R. Lorenz, J. Pascual, B. Blankertz, C. Vidaurre, Towards a holistic assessment of the user experience with hybrid BCIs
Journal of neural engineering, IOP Publishing, 11(3):035007, 2014 [bibtex] [url]

A. Martel, S. Dähne, B. Blankertz, EEG Predictors of Covert Vigilant Attention
Journal of neural engineering, IOP Publishing, 11(3):035009, 2014 [bibtex] [url]

W. Samek, M. Kawanabe, K. R. Müller, Divergence-based Framework for Common Spatial Patterns Algorithms
IEEE Reviews in Biomedical Engineering, 7:50-72, 2014 [bibtex] [url]

A. Sonnleitner, M. S. Treder, M. Simon, S. Willmann, A. Ewald, A. Buchner, M. Schrauf, Analysis and Single-Trial Classification of EEG Alpha Spindles on rolonged Brake Reaction Times During Auditory Distraction in a Real Road-Driving Study
Accident; analysis and prevention, 62:110-118, 2014 [bibtex]

M. S. Treder, H. Purwins, D. Miklody, I. Sturm, B. Blankertz, Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification
Journal of neural engineering, 11:026009, 2014 [bibtex] [url]

Book chapters

A. Binder, W. Samek, K. R. Müller, M. Kawanabe, Machine Learning for Visual Concept Recognition and Ranking for Images, to appear
Towards the Internet of Services: The THESEUS Program, 2014 [bibtex] [url]

Conference papers

S. Dähne, F. Biessmann, F. C. Meinecke, J. Mehnert, S. Fazli, K. R. Müller, Multimodal integration of electrophysiological and hemodynamic signals
Brain-Computer Interface (BCI), 2014 International Winter Workshop on, 2014 [bibtex]

W. Samek, M. Kawanabe, Robust Common Spatial Patterns by Minimum Divergence Covariance Estimator
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014 [bibtex]

W. Samek, K. R. Müller, Information Geometry meets BCI - Spatial filtering using divergences
Brain-Computer Interface (BCI), 2014 International Winter Workshop on, 2014 [bibtex]

2013

Journal papers

L. Acqualagna, B. Blankertz, Gaze-Independent BCI-Spelling Using Rapid Visual Serial Presentation (RSVP)
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 124(5):901-908, 2013 [bibtex] [url]

A. Binder, W. Samek, K. R. Müller, M. Kawanabe, Enhanced Representation and Multi-Task Learning for Image Annotation
Computer Vision and Image Understanding, 117(5):466 - 478, 2013 [bibtex] [url]

S. Cherla, H. Purwins, M. Marchini, Automatic Phrase Continuation from Guitar and Bass Guitar Melodies
Computer Music Journal, 37(3):68-81, 2013 [bibtex] [pdf]

S. Dähne, F. Biessman, F. C. Meinecke, J. Mehnert, S. Fazli, K. R. Müller, Integration of Multivariate Data Streams With Bandpower Signals
IEEE Transactions on Multimedia, 15(5):1001-1013, 2013 [bibtex] [url]

A. Ewald, F. Shabhazi, G. Nolte, Identifying causal networks of neuronal sources from EEG/MEG data with the phase slope index: a simulation study
Biomed Tech, 22:1 - 14, 2013 [bibtex]

K. Hansen, G. Montavon, F. Biegler, S. Fazli, M. Rupp, M. Scheffler, O. A. v. Lilienfeld, A. Tkatchenko, K. R. Müller, Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies
Journal of Chemical Theory and Computation, 9(8):3404-3419, 2013 [bibtex]

E. M. Holz, J. Höhne, P. Staiger-Sälzer, M. Tangermann, A. Kübler, Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users, Special Issue: Brain-computer interfacing
Artificial Intelligence in Medicine, Elsevier, 59(2):111 - 120, 2013 [bibtex]

A. Küber, D. Mattia, R. Rupp, M. Tangermann, Facing the challenge: Bringing brain-computer interfaces to end-users
Artificial Intelligence in Medicine, 59(2):55-60, 2013 [bibtex]

G. Montavon, M. L. Braun, T. Krueger, K. R. Müller, Analyzing Local Structure in Kernel-based Learning: Explanation, Complexity and Reliability Assessment
Signal Processing Magazine, IEEE, 30(4):62-74, 2013 [bibtex] [url]

G. Montavon, M. Rupp, V. Gobre, A. Vazquez-Mayagoitia, K. Hansen, A. Tkatchenko, K. R. Müller, O. A. v. Lilienfeld, Machine Learning of Molecular Electronic Properties in Chemical Compound Space, to appear
New Journal of Physics, Focus Issue, Novel Materials Discovery, 2013 [bibtex]

M. Panteli, H. Purwins, 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, 42(3):205-221, 2013 [bibtex] [pdf]

A. K. Porbadnigk, M. S. Treder, B. Blankertz, J. Antons, R. Schleicher, S. Möller, G. Curio, K. R. Müller, Single-trial analysis of the neural correlates of speech quality perception
Journal of neural engineering, 10(5):056003, 2013 [bibtex]

W. Samek, F. C. Meinecke, K. R. Müller, Transferring Subspaces Between Subjects in Brain-Computer Interfacing
IEEE transactions on bio-medical engineering, 60(8):2289-2298, 2013 [bibtex]

K. T. Schütt, H. Glawe, F. Brockherde, A. Sanna, K. R. Müller, E. Gross, How to represent crystal structures for machine learning: towards fast prediction of electronic properties
arXiv, 2013 [bibtex] [pdf] [url]

M. Schreuder, A. Riccio, M. Risetti, S. Dähne, A. Ramsey, J. Williamson, D. Mattia, M. Tangermann, User-Centered Design in BCI - a Case Study
Artificial Intelligence in Medicine, 59(2):71-80, 2013 [bibtex] [url]

M. Schreuder, J. Höhne, B. Blankertz, S. Haufe, T. Dickhaus, M. Tangermann, Optimizing ERP Based BCI - a Systematic Evaluation of Dynamic Stopping Methods
Journal of neural engineering, 10(3):036025, 2013 [bibtex]

C. Vidaurre, J. Pascual, A. Ramos-Murguialday, R. Lorenz, B. Blankertz, N. Birbaumer, K. R. Müller, Neuromuscular electrical stimulation induced brain patterns to decode motor imagery
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 124(1):1824-1834, 2013 [bibtex] [url]

Book chapters

D. Bartz, K. R. Müller, Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Advances in Neural Information Processing Systems 26, 2013 [bibtex]

W. Samek, D. Blythe, K. R. Müller, M. Kawanabe, Robust Spatial Filtering with Beta Divergence
Advances in Neural Information Processing Systems 26, 2013 [bibtex] [pdf] [url]

Conference papers

L. Acqualagna, M. S. Treder, B. Blankertz, Chroma Speller: Isotropic visual stimuli for truly gaze-independent spelling
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, 2013 [bibtex] [pdf] [url]

E. M. Holz, C. Zickler, A. Riccio, J. Höhne, F. Cincotti, M. Tangermann, S. Halder, D. Mattia, A. Kübler, Evaluation of Four Different BCI Prototypes by Severely Motor-Restricted End-Users
Proceedings of the Fifth International Brain-Computer Interface Meeting 2013, Verlag der Technischen Universität Graz, 2013 [bibtex] [pdf]

G. R. Müller-Putz, M. Schreuder, M. Tangermann, R. Leeb, J. d. R. Millán, 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, Walter de Gruyter, Biomedical Engineering/Biomedizinische Technik, 58(SI-1), 2013 [bibtex]

G. Montavon, K. R. Müller, Neural Networks for Computational Chemistry: Pitfalls and Recommendations
MRS Online Proceedings Library, 1523, 2013 [bibtex] [url]

W. Samek, A. Binder, K. R. Müller, Multiple Kernel Learning for Brain-Computer Interfacing
Conf Proc IEEE Eng Med Biol Soc (EMBC), 2013 [bibtex] [pdf] [url]

M. Tangermann, P. Kindermans, M. Schreuder, B. Schrauwen, K. R. Müller, 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, Walter de Gruyter, Biomedical Engineering/Biomedizinische Technik, 58(SI-1), 2013 [bibtex] [url]

I. Winkler, E. Waldburger, S. Haufe, M. Tangermann, On Classifying Artifactual Independent Components: Generalization Ability to Different Electrode Setups
Proceedings of the Fifth International Brain-Computer Interface Meeting 2013, Verlag der Technischen Universität Graz, 2013 [bibtex] [pdf]

PhD theses

G. Montavon, On layer-wise representations in deep neural networks
Technische Universität Berlin, 2013 [bibtex]

2012

Books

G. Montavon, G. B. Orr, K. R. Müller, (Eds.), Neural Networks: Tricks of the Trade, Reloaded
Springer, Lecture Notes in Computer Science (LNCS), 7700, 2012 [bibtex] [url]

Journal papers

F. S. Avarvand, A. Ewald, G. Nolte, Localizing True Brain Interactions from EEG and MEG Data with Subspace Methods and Modified Beamformers
Comp. Math. Methods in Medicine, 2012, 2012 [bibtex]

A. Bhattacharyya, F. Biessmann, J. Veit, R. Kretz, G. Rainer, Functional and laminar dissociations between muscarinic and nicotinic cholinergic neuromodulation in the tree shrew primary visual cortex
European Journal of Neuroscience, 35(8):1270-80, 2012 [bibtex]

F. Biessmann, Y. Murayama, N. K. Logothetis, K. R. Müller, F. C. Meinecke, Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions
Neuroimage, 61(4):1031-1042, 2012 [bibtex] [pdf]

A. Binder, K. R. Müller, M. Kawanabe, On Taxonomies for Multi-class Image Categorization
International Journal of Computer Vision, 99(3):281-301, 2012 [bibtex] [url]

A. Binder, S. Nakajima, M. Kloft, C. Müller, W. Samek, U. Brefeld, K. R. Müller, M. Kawanabe, Insights from Classifying Visual Concepts with Multiple Kernel Learning
PLoS ONE, 7(8), 2012 [bibtex] [url]

D. A. Blythe, P. v. Bünau, F. C. Meinecke, K. R. Müller, Feature Extraction for Change-Point Detection using Stationary Subspace Analysis
IEEE Transactions on Neural Networks and Learning Systems, 23(4):631-643, 2012 [bibtex] [pdf]

D. Deb, J. Lässig, M. Kloft, A Critical Assessment of the Importance of Seedling Age in the System of Rice Intensification (SRI) in Eastern India, in press
Experimental Agriculture, Cambrigde University Press, 2012 [bibtex]

J. v. Erp, F. Lotte, M. Tangermann, Brain-Computer Interfaces for Non-Medical Applications: How to Move Forward
Computer, Published by the IEEE Computer Society, 2012 [bibtex] [pdf]

A. Ewald, S. Aristei, G. Nolte, R. A. Rahman, Brain oscillations and functional connectivity during overt language production
Frontiers in Psychology, 3(166), 2012 [bibtex] [url]

A. Ewald, L. Marzetti, F. Zappasodi, F. C. Meinecke, G. Nolte, Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor space
NeuroImage, 60(1):476 - 488, 2012 [bibtex] [url]

S. Fazli, J. Mehnert, J. Steinbrink, G. Curio, A. Villringer, K. R. Müller, B. Blankertz, Enhanced performance by a Hybrid NIRS-EEG Brain Computer Interface, open access
NeuroImage, 59(1):519-529, 2012 [bibtex] [url]

J. Höhne, K. Krenzlin, S. Dähne, M. Tangermann, Natural Stimuli improve Auditory BCIs with respect to Ergonomics and Performance
Journal of neural engineering, 9(4):045003, 2012 [bibtex] [pdf] [url]

E. M. Hammer, S. Halder, B. Blankertz, C. Sannelli, T. Dickhaus, S. Kleih, K. R. Müller, A. Kübler, Psychological predictors of SMR-BCI performance
Biological psychology, 89(1):80-86, 2012 [bibtex] [url]

S. Hara, Y. Kawahara, T. Washio, P. v. Bünau, T. Tokunaga, K. Yumoto, Separation of stationary and non-stationary sources with a generalized eigenvalue problem
Neural Networks, 33:7-20, 2012 [bibtex] [pdf]

S. Haufe, V. V. Nikulin, K. R. Müller, G. Nolte, A critical assessment of connectivity measures for EEG data: a simulation study
NeuroImage, 64:120-133, 2012 [bibtex] [pdf] [url]

F. J. Kiraly, P. v. Bünau, F. C. Meinecke, D. A. Blythe, K. R. Müller, Algebraic Geometric Comparison of Probability Distributions
Journal of Machine Learning Research, 13:855-903, 2012 [bibtex] [pdf]

M. Kloft, G. Blanchard, On the convergence rate of $ll_p$-norm multiple kernel learning
Journal of Machine Learning Research, 13:2465-2502, 2012 [bibtex]

T. Krueger, D. Panknin, M. Braun, Fast Cross-Validation via Sequential Testing
arxiv CoRR, abs/1206.2248, 2012 [bibtex] [url]

T. Krueger, K. Rieck, Intelligent Defense against Malicious JavaScript Code
PIK - Praxis der Informationsverarbeitung und Kommunikation, 35(1):54-60, 2012 [bibtex]

C. L. Maeder, C. Sannelli, S. Haufe, B. Blankertz, Prestimulus sensorimotor rhythms influence brain-computer interface classification performance
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 20:653-662, 2012 [bibtex] [url]

G. Onose, C. Grozea, A. Anghelescu, C. Daia, C. Sinescu, A. Ciurea, T. Spircu, A. Mirea, I. Andone, A. Spânu, C. Popescu, S. Mihaescu, S. Fazli, M. Danoczy, F. Popescu, 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, open access
Spinal Cord, Nature Publishing Group, 2012 [bibtex] [url]

W. Samek, C. Vidaurre, K. R. Müller, M. Kawanabe, Stationary Common Spatial Patterns for Brain-Computer Interfacing
J Neural Eng, 9(2):026013, 2012 [bibtex] [url]

S. Schaeff, M. S. Treder, B. Venthur, B. Blankertz, Exploring motion VEPs for gaze-independent communication
Journal of neural engineering, 9(4):045006, 2012 [bibtex] [pdf] [url]

N. M. Schmidt, B. Blankertz, M. S. Treder, Online detection of error-related potentials boosts the performance of mental typewriters
BMC neuroscience, 13:19, 2012 [bibtex] [url]

S. Scholler, S. Bosse, M. S. Treder, B. Blankertz, G. Curio, K. R. Müller, T. Wiegand, Towards a Direct Measure of Video Quality Perception using EEG
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 21(5):2619-2629, 2012 [bibtex] [pdf] [url]

M. Tangermann, K. R. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. Miller, G. Müller-Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Review of the BCI Competition IV
Frontiers in neuroscience, 6(55), 2012 [bibtex] [url]

M. E. Thurlings, J. B. v. Erp, A. Brouwer, B. Blankertz, P. Werkhoven, Control-Display Mapping in Brain-Computer Interfaces
Ergonomics, 55(5):564-580, 2012 [bibtex] [pdf] [url]

M. E. Thurlings, A. M. Brouwer, J. B. V. Erp, B. Blankertz, P. J. Werkhoven, Does bimodal stimulus presentation increase ERP components usable in BCIs?
Journal of neural engineering, 9(4):045005, 2012 [bibtex] [url]

M. S. Treder, Special section on gaze-independent brain-computer interfaces (Editorial)
Journal of neural engineering, 9(4):040201, 2012 [bibtex]

Book chapters

B. Blankertz, M. Tangermann, K. R. Müller, BCI applications for the general population
Brain-Computer Interfaces - Principles and Practice, Oxford University Press, 2012 [bibtex]

S. Haufe, V. Nikulin, G. Nolte, Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses, 10.1007/978-3-642-28551-6_4
Latent Variable Analysis and Signal Separation, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 7191:25-33, 2012 [bibtex] [pdf] [url]

F. J. Király, A. Ziehe, K. R. Müller, An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices
Latent Variable Analysis and Signal Separation, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 2012 [bibtex] [url]

M. Kloft, Maschinelles Lernen mit mehreren Kernen
Ausgezeichnete Informatikdissertationen 2011. LNI D-12, GI, 2012 [bibtex]

G. Montavon, K. R. Müller, Deep Boltzmann Machines and the Centering Trick
Neural Networks: Tricks of the trade, Reloaded, Springer, LNCS, 7700, 2012 [bibtex] [pdf] [url]

M. Quek, J. Höhne, R. Murray-Smith, M. Tangermann, Designing future BCIs: Beyond the bit rate
Towards Practical Brain-Computer Interfaces, Springer, 2012 [bibtex]

Conference papers

F. Biessmann, J. Papaioannou, M. Braun, A. Harth, Canonical Trends: Detecting Trend Setters in Web Data
Proceedings of the International Conference on Machine Learning, 2012 [bibtex] [pdf]

F. Biessmann, J. Papaioannou, A. Harth, M. L. Jugel, K. R. Müller, M. Braun, Quantifying Spatiotemporal Dynamics of Twitter Replies to News Feeds
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012 [bibtex] [pdf]

S. Fazli, J. Mehnert, J. Steinbrink, B. Blankertz, Using NIRS as a predictor for EEG-based BCI performance
Conf Proc IEEE Eng Med Biol Soc, 2012:4911-4914, 2012 [bibtex] [pdf]

J. Höhne, M. Tangermann, How stimulation speed affects Event-Related Potentials and BCI performance
Conf Proc IEEE Eng Med Biol Soc, 2012:1802-1805, 2012 [bibtex]

F. J. Kiraly, P. v. Bünau, J. S. Müller, D. A. Blythe, F. C. Meinecke, K. R. Müller, Regression for sets of polynomial equations
JMLR Workshop and Conference Proc. Vol. 22, 2012 [bibtex] [pdf]

T. Krueger, H. Gascon, N. Krämer, K. Rieck, Learning Stateful Models for Network Honeypots
Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence (AISEC), 2012 [bibtex] [pdf]

G. Montavon, M. Braun, K. R. Müller, Deep Boltzmann Machines as Feed-Forward Hierarchies
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012 [bibtex] [pdf]

G. Montavon, K. Hansen, S. Fazli, M. Rupp, F. Biegler, A. Ziehe, A. Tkatchenko, O. A. v. Lilienfeld, K. R. Müller, Learning Invariant Representations of Molecules for Atomization Energy Prediction
Advances in Neural Information Processing Systems 25, 2012 [bibtex] [url]

J. Pascual, R. Lorenz, B. Blankertz, C. Vidaurre, Hybrid EEG-based BCI User Interface for Action Selection
Conf Proc International Conference on NeuroRehabilitation, 2012, 2012 [bibtex]

J. Pascual, F. Velasco-Álvarez, K. R. Müller, C. Vidaurre, First Study Towards Linear Control of an Upper-Limb Neuroprosthesis with an EEG-based Brain-Computer Interface
Conf Proc IEEE Eng Med Biol Soc, 2012, 2012 [bibtex] [url]

W. Samek, K. R. Müller, M. Kawanabe, C. Vidaurre, Brain-Computer Interfacing in Discriminative and Stationary Subspaces
Conf Proc IEEE Eng Med Biol Soc (EMBC), 2012 [bibtex] [url]

C. Sannelli, C. Vidaurre, K. R. Müller, B. Blankertz, Common Spatial Pattern Patches: online evaluation on naive users
Conf Proc IEEE Eng Med Biol Soc, 2012, 2012 [bibtex] [pdf]

M. Schreuder, M. E. Thurlings, A. Brouwer, J. B. v. Erp, M. Tangermann, Exploring the use of direct feedback in ERP-based BCI
Conf Proc IEEE Eng Med Biol Soc, 2012:6707-6710, 2012 [bibtex]

M. Tangermann, J. Höhne, H. Stecher, M. Schreuder, 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, 2012 [bibtex] [pdf]

B. Venthur, B. Blankertz, Mushu, a free- and open source BCI signal acquisition, written in Python
Conf Proc IEEE Eng Med Biol Soc, 2012, 2012 [bibtex] [pdf]

C. Widmer, M. Kloft, N. Görnitz, G. Rätsch, Efficient Training of Graph-Regularized Multitask SVMs
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, 2012 [bibtex]

2011

Journal papers

P. Baldi, K. Müller, G. Schneider, Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine Learning
Molecular Informatics, 30(9):751-751, 2011 [bibtex] [url]

D. Bartz, K. Hatrick, C. Hesse, K. R. Müller, S. Lemm, Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization
arXiv, 2011 [bibtex]

F. Biessmann, S. M. Plis, F. C. Meinecke, T. Eichele, K. R. Müller, Analysis of Multimodal Neuroimaging Data
Biomedical Engineering, IEEE Reviews in, 4:26-58, 2011 [bibtex]

A. Binder, S. Nakajima, M. Kloft, C. Müller, W. Samek, U. Brefeld, K. R. Müller, M. Kawanabe, Insights from Classifying Visual Concepts with Multiple Kernel Learning
arXiv, 2011 [bibtex] [url]

B. Blankertz, S. Lemm, M. S. Treder, S. Haufe, K. R. Müller, Single-trial analysis and classification of ERP components - a tutorial
NeuroImage, 56:814-825, 2011 [bibtex] [pdf] [url]

D. Boland, M. Quek, M. Tangermann, J. Williamson, R. Murray-Smith, Using Simulated Input into Brain-Computer Interfaces for User-Centred Design
International Journal of Bioelectromagnetism, 13(2):86-87, 2011 [bibtex] [url]

C. Brunner, M. Billinger, C. Vidaurre, C. Neuper, A comparison of univariate, vector, bilinear autoregressive and band power features for brain-computer interfaces
Medical and Biological Engineering and Computing, 2011 [bibtex]

S. Dähne, K. R. Müller, , M. Tangermann, Slow Feature Analysis as a Potential Preprocessing Tool in BCI
International Journal of Bioelectromagnetism, 13(2):100-101, 2011 [bibtex] [url]

S. Fazli, M. Danóczy, J. Schelldorfer, K. R. Müller, L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI
NeuroImage, 56(4):2100 - 2108, 2011 [bibtex] [pdf] [url]

C. Grozea, C. Voinescu, S. Fazli, Bristle-sensors - Low-cost Flexible Passive Dry EEG Electrodes for Neurofeedback and BCI Applications
Journal of neural engineering, 8:025008, 2011 [bibtex] [pdf]

J. Höhne, M. Schreuder, B. Blankertz, M. Tangermann, A novel 9-class auditory ERP paradigm driving a predictive text entry system
Frontiers in neuroscience, 5:99, 2011 [bibtex] [url]

J. Höhne, M. Schreuder, B. Blankertz, K. R. Müller, M. Tangermann, Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online Studies
International Journal of Bioelectromagnetism, 13(2):96-97, 2011 [bibtex] [url]

K. Hansen, D. Baehrens, T. Schroeter, M. Rupp, K. R. Müller, Visual Interpretation of Kernel-Based Prediction Models
Molecular Informatics, 30(9):817-826, 2011 [bibtex] [url]

S. Haufe, R. Tomioka, T. Dickhaus, C. Sannelli, B. Blankertz, G. Nolte, K. R. Müller, Large-Scale EEG/MEG Source Localization with Spatial Flexibility
NeuroImage, 54:851-859, 2011 [bibtex] [pdf] [url]

S. Haufe, M. S. Treder, M. F. Gugler, M. Sagebaum, G. Curio, B. Blankertz, EEG potentials predict upcoming emergency brakings during simulated driving
Journal of neural engineering, 8:056001, 2011 [bibtex] [url]

S. Kleih, A. Riccio, D. Mattia, M. Schreuder, M. Tangermann, C. Zickler, A. Kübler, Motivation affects performance in a P300-Brain-Computer Interface
International Journal of Bioelectromagnetism, 13(1):46-47, 2011 [bibtex] [url]

M. Kloft, U. Brefeld, S. Sonnenburg, A. Zien, Lp-norm Multiple Kernel Learning
Journal of Machine Learning Research, 12:953-997, 2011 [bibtex]

S. Lemm, B. Blankertz, T. Dickhaus, K. R. Müller, Introduction to machine learning for brain imaging
NeuroImage, 56:387-399, 2011 [bibtex] [pdf] [url]

J. Müller, P. v. Bünau, F. Meinecke, F. Király, K. R. Müller, The Stationary Subspace Analysis Toolbox
Journal of Machine Learning Research, 12:3065-3069, 2011 [bibtex] [pdf]

K. R. Müller, B. Blankertz, M. Tangermann, G. Curio, Forschen an einer neuen Schnittstelle zum Gehirn: Das Berliner Brain-Computer-Interface
Nova Acta Leopoldina, 110(377):235-257, 2011 [bibtex] [url]

G. R. Müller-Putz, C. Breitwieser, M. Tangermann, M. Schreuder, M. Tavella, R. Leeb, F. Cincotti, F. Leotta, C. Neuper, Tobi hybrid BCI: principle of a new assistive method
International Journal of Bioelectromagnetism, 13(3):144-145, 2011 [bibtex] [url]

G. R. Müller-Putz, C. Breitwieser, F. Cincotti, R. Leeb, M. Schreuder, F. Leotta, M. Tavella, L. Bianchi, A. Kreilinger, A. Ramsay, M. Rohm, M. Sagebaum, L. Tonin, C. Neuper, J. d. R. Millán, Tools for Brain-Computer Interaction: a general concept for a hybrid BCI (hBCI)
Front Neuroinformatics, 5(0), 2011 [bibtex] [url]

G. Montavon, M. Braun, K. R. Müller, Kernel analysis of deep networks
Journal of Machine Learning Research, 12:2563-2581, 2011 [bibtex] [pdf]

J. Pascual, C. Vidaurre, M. Kawanabe, Investigating EEG non-stationarities with robust PCA and its application to improve BCI performance
International Journal of Bioelectromagnetism, 13:50-51, 2011 [bibtex] [url]

F. Rathke, K. Hansen, U. Brefeld, K. R. Müller, StructRank: A New Approach for Ligand-Based Virtual Screening
J. Chem. Inf. Model., 51:83-92, 2011 [bibtex]

K. Rieck, Self-Learning Network Intrusion Detection
Information Technology (IT), Oldenbourg, 53(3):152-156, 2011 [bibtex] [pdf]

K. Rieck, Similarity Measures for Sequential Data
WIREs: Data Mining and Knowledge Discovery, Wiley, 1(4):296-304, 2011 [bibtex] [pdf]

K. Rieck, P. Trinius, C. Willems, T. Holz, Automatic Analysis of Malware Behavior using Machine Learning
Journal of Computer Security (JCS), IOPress, 19(4):639-668, 2011 [bibtex] [pdf]

C. Sannelli, C. Vidaurre, K. R. Müller, B. Blankertz, Common Spatial Pattern Patches - an Optimized Filter Ensemble for Adaptive Brain-Computer Interfaces
Journal of neural engineering, 8(2):025012 (7pp), 2011 [bibtex] [url]

M. Schreuder, A. Riccio, F. Cincotti, M. Risetti, B. Blankertz, M. Tangermann, D. Mattia, Putting AMUSE to work: an end-user study
International Journal of Bioelectromagnetism, 13(3):139-140, 2011 [bibtex] [url]

M. Schreuder, T. Rost, M. Tangermann, Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI
Frontiers in neuroscience, 5(112), 2011 [bibtex] [url]

M. Sugiyama, M. Yamada, P. v. Bünau, T. Suzuki, T. Kanamori, M. Kawanabe, Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search
Neural Networks, 24(2):183-198, 2011 [bibtex]

M. Tangermann, M. Schreuder, S. Dähne, J. Höhne, S. Regler, A. Ramsay, M. Quek, J. Williamson, R. Murray-Smith, Optimized Stimulation Events for a Visual ERP BCI
International Journal of Bioelectromagnetism, 13(3):119-120, 2011 [bibtex] [url]

M. S. Treder, G. van der Vloed, P. van der Helm, Interactions between constituent single symmetries in multiple symmetry
Atten Percept Psychophys, 73(5):1487-1502, 2011 [bibtex] [url]

M. S. Treder, N. M. Schmidt, B. Blankertz, Gaze-independent visual brain-computer interfaces, Open Access
International Journal of Bioelectromagnetism, 13(1):11-12, 2011 [bibtex] [url]

M. S. Treder, N. M. Schmidt, B. Blankertz, Gaze-independent brain-computer interfaces based on covert attention and feature attention, Open Access
Journal of neural engineering, 8(6):066003, 2011 [bibtex] [url]

M. S. Treder, A. Bahramisharif, N. M. Schmidt, M. v. Gerven, B. Blankertz, Brain-Computer Interfacing using Modulations of Alpha Activity Induced by Covert Shifts of Attention
Journal of neuroengineering and rehabilitation, 8:24, 2011 [bibtex] [url]

C. Vidaurre, M. Kawanabe, P. v. Bünau, B. Blankertz, K. R. Müller, Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces
IEEE transactions on bio-medical engineering, 58(3):587 -597, 2011 [bibtex] [url]

C. Vidaurre, T. H. Sander, A. Schlögl, BiosSig: The free and open source software library for biomedical signal processing
Computational Intelligence and Neuroscience, 2011, 2011 [bibtex] [url]

C. Vidaurre, C. Sannelli, K. R. Müller, B. Blankertz, Machine-Learning Based Co-adaptive Calibration
Neural computation, 23(3):791-816, 2011 [bibtex] [pdf] [url]

C. Vidaurre, C. Sannelli, K. R. Müller, B. Blankertz, Co-adaptive calibration to improve BCI efficiency
Journal of neural engineering, 8(2):025009 (8pp), 2011 [bibtex] [url]

I. Winkler, M. Tangermann, Artifact-Insensitivity of CSP in Motor Imagery BCI
International Journal of Bioelectromagnetism, 13(2):72-73, 2011 [bibtex] [url]

I. Winkler, S. Haufe, M. Tangermann, Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals
Behavioral and brain functions : BBF, 7(1):30, 2011 [bibtex] [url]

Book chapters

S. Fazli, M. Danóczy, J. Schelldorfer, K. R. Müller, $ll_1$-Penalized Linear Mixed-Effects Models for BCI
Artificial Neural Networks and Machine Learning-ICANN 2011, Springer-Verlag, 2011 [bibtex]

M. Kawanabe, W. Samek, P. v. Bünau, F. Meinecke, An Information Geometrical View of Stationary Subspace Analysis
Artificial Neural Networks and Machine Learning - ICANN 2011, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 6792:397-404, 2011 [bibtex] [url]

M. Kloft, G. Blanchard, The Local Rademacher complexity of $ll_p$-norm multiple kernel learning
Advances in Neural Information Processing Systems 24, MIT Press, 2011 [bibtex]

W. Samek, M. Kawanabe, C. Vidaurre, Group-wise Stationary Subspace Analysis - A novel method for studying non-stationarities
Proc. 5th Int. BCI Conf. Graz, Verlag der Technischen Universität Graz, 2011 [bibtex]

W. Samek, A. Binder, M. Kawanabe, Multi-task Learning via Non-sparse Multiple Kernel Learning
Computer Analysis of Images and Patterns, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 6854:335-342, 2011 [bibtex] [url]

W. Wojcikiewicz, C. Vidaurre, M. Kawanabe, Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation
Hybrid Artificial Intelligent Systems, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 6679:34-41, 2011 [bibtex] [url]

Conference papers

L. Acqualagna, B. Blankertz, A gaze independent speller based on rapid serial visual presentation
Conf Proc IEEE Eng Med Biol Soc, 2011:4560-4563, 2011 [bibtex] [pdf]

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

A. Binder, W. Wojcikiewicz, C. Müller, M. Kawanabe, A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition
Computer Vision - ACCV 2010, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 6494:95-108, 2011 [bibtex] [url]

A. Binder, W. Samek, M. Kloft, C. Müller, K. R. Müller, M. Kawanabe, The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task
CLEF (Notebook Papers/Labs/Workshop), 2011 [bibtex] [pdf]

D. Blythe, W. Samek, K. R. Müller, Stationary Linear Discriminant Analysis - Classifying Non-Stationary Features in Brain-Computer Interfacing, Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN '11)
Frontiers in Neuroscience, 2011 [bibtex] [url]

W. Cho, C. Vidaurre, U. Hoffman, N. Birbaumer, A. Ramos-Murguialday, Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitation
Conf Proc IEEE Eng Med Biol Soc, 2011:7310-7315, 2011 [bibtex] [url]

S. Dähne, J. Höhne, M. Tangermann, Adaptive Classification Improves Control Performance In ERP-Based BCIs
Proceedings of the 5th International BCI Conference, 2011 [bibtex] [url]

S. Dähne, J. Höhne, M. Schreuder, M. Tangermann, Band Power Features Correlate With Performance In Auditory Brain-Computer Interface
Front. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI), 2011 [bibtex] [url]

J. Höhne, M. Tangermann, Stimulation Speed Boosts Auditory BCI Performance
Proc. 5th Int. BCI Conf. Graz, Verlag der Technischen Universität Graz, 2011 [bibtex] [url]

J. Höhne, M. Tangermann, Natural stimuli for auditory BCI
Neuroscience letters, 500(Supplement 1):e11, 2011 [bibtex] [pdf] [url]

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

M. Kawanabe, A. Binder, C. Müller, W. Wojcikiewicz, Multi-modal visual concept classification of images via Markov random walk over tags
Applications of Computer Vision (WACV), 2011 IEEE Workshop on, 2011 [bibtex] [url]

T. Krueger, D. Panknin, M. Braun, Fast Cross-Validation via Sequential Analysis
Neural Information Processing Systems (NIPS), Big Learning Workshop, 2011 [bibtex] [url]

G. Montavon, M. Braun, K. R. Müller, Importance of Cross-Layer Cooperation for Learning Deep Feature Hierarchies
NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011 [bibtex] [pdf]

J. Pascual, A. Ramos, C. Vidaurre, Classifying motor imagery with FES induced EEG patterns
Neuroscience letters, 500(Supplement 1):e48, 2011 [bibtex] [url]

J. Pascual, M. Kawanabe, C. Vidaurre, Modelling non-stationarities in EEG data with Robust Principal Component Analysis
Hybrid Artificial Intelligent Systems, Springer, Volume 6679/2011:51-58, 2011 [bibtex] [url]

A. K. Porbadnigk, S. Scholler, B. Blankertz, A. Ritz, M. Born, R. Scholl, K. R. Müller, G. Curio, M. S. Treder, Revealing the Neural Response to Imperceptible Peripheral Flicker with Machine Learning
Conf Proc IEEE Eng Med Biol Soc, 2011:3692-3695, 2011 [bibtex] [pdf]

A. K. Porbadnigk, J. Antons, M. S. Treder, B. Blankertz, R. Schleicher, S. Moeller, G. Curio, ERP assessment of word processing under broadcast bit rate limitations
Neuroscience letters, 500, suppl. 1:e49, 2011 [bibtex] [pdf] [url]

M. Quek, D. Boland, J. Williamson, R. Murray-Smith, M. Tavella, S. Perdikis, M. Schreuder, M. Tangermann, 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, ACM, CHI '11, 2011 [bibtex] [url]

U. Rückert, M. Kloft, Transfer Learning with Adaptive Regularizers
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2011), Springer, 2011 [bibtex]

K. Rieck, Computer Security and Machine Learning: Worst Enemies or Best Friends?
DIMVA Workshop on Systems Security (SYSSEC), 2011 [bibtex] [pdf]

S. Schaeff, M. S. Treder, B. Venthur, B. Blankertz, Motion-based ERP spellers in a covert attention paradigm
Neuroscience letters, 500(Supplement 1):e11, 2011 [bibtex] [pdf] [url]

N. Schmidt, B. Blankertz, M. S. Treder, Online detection of error potentials increases information throughput in a brain-computer interface
Neuroscience letters, 500(Supplement 1):e19 - e20, 2011 [bibtex] [url]

M. Schreuder, J. Höhne, M. S. Treder, B. Blankertz, M. Tangermann, Performance Optimization of ERP-Based BCIs Using Dynamic Stopping
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2011 [bibtex] [pdf]

G. Schwenk, K. Rieck, Adaptive Detection of Covert Communication in HTTP Requests
European Conference on Computer Network Defense (EC2ND), 2011 [bibtex]

M. Tangermann, J. Höhne, User-centered brain-computer interface design by optimizing auditory and visual stimuli
Frontiers in Human Neuroscience, 2011 [bibtex] [url]

M. Tangermann, J. Höhne, M. Schreuder, M. Sagebaum, B. Blankertz, A. Ramsay, R. Murray-Smith, Data Driven Neuroergonomic Optimization of BCI Stimuli
Proc. 5th Int. BCI Conf. Graz, 2011 [bibtex]

W. Wojcikiewicz, C. Vidaurre, M. Kawanabe, Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 2011 [bibtex] [url]

H. J. Wouters, M. A. v. Gerven, M. S. Treder, T. Heskes, A. Bahramisharif, Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing
MLINI'11, 2011 [bibtex]

F. Yamaguchi, F. Lindner, K. Rieck, Vulnerability Extrapolation: Assisted Discovery of Vulnerabilities using Machine Learning
Proc. of 5th USENIX Workshop on Offensive Technologies (WOOT), 2011 [bibtex] [pdf]

PhD theses

F. Biessmann, Data-driven analysis for multimodal neuroimaging
Berlin Institute of Technology, 2011 [bibtex] [url]

S. Fazli, Advances in Neurotechnology for Brain Computer Interfaces
Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik, 2011 [bibtex] [pdf]

S. Haufe, Towards EEG source connectivity analysis
Berlin Institute of Technology, 2011 [bibtex] [pdf] [url]

M. Kloft, $ll_p$-Norm Multiple Kernel Learning
Berlin Institute of Technology, 2011 [bibtex]

2010

Journal papers

J. Araújo, P. v. Bünau, J. Mitchell, M. Neunhöffer, Computing automorphisms of semigroups
Journal of Symbolic Computation, 45(3):373 - 392, 2010 [bibtex] [url]

D. Baehrens, T. Schroeter, S. Harmeling, M. Kawanabe, K. Hansen, K. R. Müller, How to Explain Individual Classification Decisions
JMLR, 11:1803-1831, 2010 [bibtex] [url]

B. Blankertz, C. Sannelli, S. Halder, E. M. Hammer, A. Kübler, K. R. Müller, G. Curio, T. Dickhaus, Neurophysiological Predictor of SMR-Based BCI Performance
NeuroImage, 51(4):1303-1309, 2010 [bibtex] [pdf] [url]

B. Blankertz, M. Tangermann, C. Vidaurre, S. Fazli, C. Sannelli, S. Haufe, C. Maeder, L. E. Ramsey, I. Sturm, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology, Open Access
Frontiers in neuroscience, 4:198, 2010 [bibtex] [url]

S. Haufe, R. Tomioka, G. Nolte, K. R. Müller, M. Kawanabe, Modeling sparse connectivity between underlying brain sources for EEG/MEG
IEEE transactions on bio-medical engineering, 57(8):1954 - 1963, 2010 [bibtex] [pdf] [url]

S. Haufe, G. Nolte, K. R. Müller, N. Krämer, Sparse Causal Discovery in Multivariate Time Series
JMLR W&CP, 6:97-106, 2010 [bibtex] [pdf]

T. Lang, M. Toussaint, Planning with Noisy Probabilistic Relational Rules
Journal of Artificial Intelligence Research, 39:1-49, 2010 [bibtex] [pdf]

Y. Murayama, F. Biessmann, F. C. Meinecke, K. R. Müller, M. Augath, A. Öltermann, N. K. Logothetis, Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA
Magnetic Resonance Imaging, 2010 [bibtex] [url]

V. V. Nikulin, K. Linkenkaer-Hansen, G. Nolte, G. Curio, Non-zero mean and asymmetry of neuronal oscillations have different implications for evoked responses.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 121(2):186-93, 2010 [bibtex] [url]

G. Nolte, K. R. Müller, Localizing and estimating causal relations of interacting brain rhythms, Open Access
Frontiers in human neuroscience, 4:209, 2010 [bibtex] [url]

J. d. R. Millán, R. Rupp, G. Müller-Putz, R. Murray-Smith, C. Giugliemma, M. Tangermann, C. Vidaurre, F. Cincotti, A. Kübler, R. Leeb, C. Neuper, K. R. Müller, D. Mattia, Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges
Frontiers in Neuroprosthetics, 4, 2010 [bibtex] [url]

K. Rieck, T. Krueger, U. Brefeld, K. R. Müller, Approximate Tree Kernels
Journal of Machine Learning Research, 11(Feb):555-580, 2010 [bibtex] [pdf]

M. Rupp, T. Schroeter, R. Steri, H. Zettl, E. Proschak, K. Hansen, O. Rau, O. Schwarz, L. Müller-Kuhrt, M. Schubert-Zsilavecz, K. R. Müller, G. Schneider, From machine learning to natural product derivatives selectively activating transcription factor PPAR$amma$
ChemMedChem, 5(2):191-194, 2010 [bibtex] [url]

C. Sannelli, T. Dickhaus, S. Halder, E. M. Hammer, K. R. Müller, B. Blankertz, On optimal channel configurations for SMR-based brain-computer interfaces
Brain topography, 23(2):186-193, 2010 [bibtex] [pdf] [url]

M. Schreuder, B. Blankertz, M. Tangermann, A New Auditory Multi-class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue
PloS one, 5(4):e9813, 2010 [bibtex] [url]

R. Steri, M. Rupp, E. Proschak, T. Schroeter, H. Zettl, K. Hansen, O. Schwarz, L. Müller-Kuhrt, K. R. Müller, G. Schneider, M. Schubert-Zsilavecz, Truxillic acid derivatives act as peroxisome proliferator-activated receptor [gamma] activators
Bioorganic & Medicinal Chemistry Letters, 20(9):2920-2923, 2010 [bibtex] [url]

I. Sushko, S. Novotarskyi, R. Körner, A. K. Pandey, A. Cherkasov, J. Li, P. Gramatica, K. Hansen, T. Schroeter, K. Müller, L. Xi, H. Liu, X. Yao, TomasÖberg, F. Hormozdiari, P. Dao, C. Sahinalp, R. Todeschini, P. Polishchuk, A. Artemenko, V. Kuz'min, T. M. Martin, D. M. Young, D. Fourches, E. Muratov, A. Tropsha, I. Baskin, D. Horvath, G. Marcou, C. Muller, A. Varnek, V. V. Prokopenko, I. V. Tetko, Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set
J. Chem. Inf. Model., 50(12):2094-2111, 2010 [bibtex] [url]

R. Tomioka, K. R. Müller, A regularized discriminative framework for EEG analysis with application to brain-computer interface
NeuroImage, 49:415-432, 2010 [bibtex] [url]

M. S. Treder, B. Blankertz, (C)overt attention and visual speller design in an ERP-based brain-computer interface
Behavioral and brain functions : BBF, 6:28, 2010 [bibtex] [url]

M. S. Treder, Behind the Looking-Glass: A Review on Human Symmetry Perception
Symmetry, 2(3):1510-1543, 2010 [bibtex] [url]

B. Venthur, S. Scholler, J. Williamson, S. Dähne, M. S. Treder, M. T. Kramarek, K. R. Müller, B. Blankertz, Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience
Frontiers in neuroscience, 4:179, 2010 [bibtex] [url]

C. Vidaurre, B. Blankertz, Towards a Cure for BCI Illiteracy, Open Access
Brain topography, 23:194-198, 2010 [bibtex] [url]

P. Zwolinski, M. Roszkowski, J. Zygierewicz, S. Haufe, G. Nolte, P. J. Durka, Open database of epileptic EEG with MRI and postoperational assessment of foci - a real world verification for the EEG inverse solutions
Neuroinformatics, 8:285-299, 2010 [bibtex] [pdf] [url]

Book chapters

B. Blankertz, M. Tangermann, C. Vidaurre, T. Dickhaus, C. Sannelli, F. Popescu, S. Fazli, M. Danóczy, G. Curio, K. R. Müller, Detecting Mental States by Machine Learning Techniques: The Berlin Brain-Computer Interface
Brain-Computer Interfaces (Revolutionizing Human-Computer Interaction), Springer, The Frontiers Collection, 2010 [bibtex] [url]

A. Ewald, A. Ziehe, F. Shahbazi, G. Nolte, Exploiting Prior Neurophysiological Knowledge to Improve Brain Computer Interface Performance
17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010, Springer Berlin Heidelberg, IFMBE Proceedings, 28:370-373, 2010 [bibtex] [url]

G. Nolte, A. Ziehe, N. Krämer, F. Popescu, K. R. Müller, Comparison of Granger Causality and Phase Slope Index
Causality: Objectives and Assessment, JMLR Workshop and Conference Proceedings, 6:267-276, 2010 [bibtex] [url]

A. Schlögl, C. Vidaurre, K. R. Müller, Adaptive Methods in BCI Research - An Introductory Tutorial
Brain-Computer Interfaces, Springer, The Frontiers Collection, 2010 [bibtex] [url]

F. Shahbazi, A. Ewald, A. Ziehe, G. Nolte, Constructing Surrogate Data to Control for Artifacts of Volume Conduction for Functional Connectivity Measures
17th International Conference on Biomagnetism Advances in Biomagnetism - Biomag2010, Springer Berlin Heidelberg, IFMBE Proceedings, 28:207-210, 2010 [bibtex] [url]

Conference papers

L. Acqualagna, M. S. Treder, M. Schreuder, B. Blankertz, A novel brain-computer interface based on the rapid serial visual presentation paradigm
Conf Proc IEEE Eng Med Biol Soc, 2010:2686-2689, 2010 [bibtex] [pdf] [url]

P. v. Bünau, F. C. Meinecke, S. Scholler, K. R. Müller, Finding Stationary Brain Sources in EEG Data
Proceedings of the 32nd Annual Conference of the IEEE EMBS, 2010 [bibtex]

F. Biessmann, A. Harth, Analysing Dependency Dynamics in Web Data
AAAI Spring Symposium: Linked Data meets AI, 2010 [bibtex] [pdf] [url]

A. Binder, M. Kawanabe, Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning, 10.1007/978-3-642-15751-6_33
Multilingual Information Access Evaluation II. Multimedia Experiments, Springer Berlin / Heidelberg, Lecture Notes in Computer Science, 6242:269-276, 2010 [bibtex] [url]

J. Höhne, M. Schreuder, B. Blankertz, M. Tangermann, Two-dimensional auditory P300 Speller with predictive text system
Conf Proc IEEE Eng Med Biol Soc, 2010:4185-4188, 2010 [bibtex] [pdf] [url]

J. Höhne, M. Schreuder, B. Blankertz, K. R. Mueller, M. Tangermann, Novel paradigms for auditory P300 Spellers with spatial hearing: two online studies, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

S. Hara, Y. Kawahara, T. Washio, P. v. Bünau, Stationary subspace analysis as a generalized eigenvalue problem
Proceedings of the 17th international conference on Neural information processing (ICONIP), Springer-Verlag, 2010 [bibtex]

S. Haufe, R. Tomioka, T. Dickhaus, C. Sannelli, B. Blankertz, G. Nolte, K. R. Müller, Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions
Conf Proc IEEE Eng Med Biol Soc, 2010:5137-5140, 2010 [bibtex] [pdf] [url]

S. Haufe, M. S. Treder, M. F. Gugler, M. Sagebaum, A. Ewald, G. Curio, B. Blankertz, Neural Signatures Enhance Emergency Braking Intention Detection during Simulated Driving, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

S. Haufe, R. Tomioka, G. Nolte, K. R. Müller, M. Kawanabe, Modeling the Connectivity of Neural Ensembles Underlying EEG/MEG, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

M. Kawanabe, J. Pascual, C. Vidaurre, Investigation of Non-stationarity in Brain Activity via Robust Principal Component Analysis
Bernstein Conference on Computational Neuroscience, 2010 [bibtex] [url]

M. Kloft, P. Laskov, Online Anomaly Detection under Adversarial Impact
JMLR Workshop and Conference Proceedings, Volume 9: AISTATS, MIT Press, 2010 [bibtex] [pdf]

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

T. Krueger, C. Gehl, K. Rieck, P. Laskov, TokDoc: A Self-Healing Web Application Firewall
Proc. of 25th ACM Symposium on Applied Computing (SAC), 2010 [bibtex] [pdf]

T. Krueger, N. Krämer, K. Rieck, ASAP: Automatic Semantics-Aware Analysis of Network Payloads
Proc. of ECML Workshop on Privacy and Security Issues in Data Mining and Machine Learning (PSDML), 2010 [bibtex] [pdf]

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

T. Lang, M. Toussaint, Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Proc. of the Int. Conf. on Machine Learning (ICML), 2010 [bibtex] [pdf]

G. Montavon, M. Braun, K. R. Müller, Layer-wise analysis of deep networks with Gaussian kernels
Advances in Neural Information Processing Systems 23, 2010 [bibtex] [pdf]

A. K. Porbadnigk, J. Antons, B. Blankertz, M. S. Treder, R. Schleicher, S. Möller, G. Curio, Using ERPs for Assessing the (Sub)Conscious Perception of Noise
Conf Proc IEEE Eng Med Biol Soc, 2010:2690-2693, 2010 [bibtex] [pdf] [url]

A. Porbadnigk, J. Antons, B. Blankertz, M. S. Treder, R. Schleicher, S. Möller, G. Curio, Assessing the (Sub)Conscious Processing of Noise based on ERPs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

K. Rieck, G. Schwenk, T. Limmer, T. Holz, P. Laskov, Botzilla: Detecting the "Phoning Home" of Malicious Software
Proc. of 25th ACM Symposium on Applied Computing (SAC), 2010 [bibtex] [pdf]

K. Rieck, T. Krueger, A. Dewald, Cujo: Efficient Detection and Prevention of Drive-by-Download Attacks
Proc. of 26th Annual Computer Security Applications Conference (ACSAC), 2010 [bibtex] [pdf]

C. Sannelli, C. Vidaurre, K. R. Müller, B. Blankertz, Common Spatial Pattern Patches - an Optimized Spatial Filter for Adaptive BCIs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

C. Sannelli, C. Vidaurre, K. R. Müller, B. Blankertz, Common Spatial Pattern Patches - an Optimized Filter Ensemble for Adaptive Brain-Computer Interfaces
Conf Proc IEEE Eng Med Biol Soc, 2010:4351-4354, 2010 [bibtex] [pdf] [url]

N. M. Schmidt, B. Blankertz, M. S. Treder, Alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

N. M. Schmidt, B. Blankertz, M. S. Treder, 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), 2010 [bibtex] [pdf] [url]

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

M. Toussaint, N. Plath, T. Lang, N. Jetchev, Integrated motor control, planning, grasping and high-level reasoning in a blocksworld using probabilistic inference
IEEE International Conference on Robotics and Automation (ICRA), 2010 [bibtex] [pdf]

M. S. Treder, N. M. Schmidt, B. Blankertz, Towards gaze-independent visual brain-computer interfaces, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010 [bibtex] [url]

P. Trinius, C. Willems, T. Holz, K. Rieck, A Malware Instruction Set for Behavior-based Analysis.
Proc. of Conference "Sicherheit, Schutz und Zuverlässigkeit" (SICHERHEIT), 2010 [bibtex] [pdf]

B. Venthur, B. Blankertz, M. F. Gugler, G. Curio, Novel Applications of BCI Technology: Psychophysiological Optimization of Working Conditions in Industry
Proceedings of the 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010), 2010 [bibtex] [url]

W. Wojcikiewicz, C. Vidaurre, M. Kawanabe, Stationary Common Spatial Patterns for non-stationary EEG data, Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN '10)
Frontiers in Neuroscience, 2010 [bibtex] [url]

W. Wojcikiewicz, A. Binder, M. Kawanabe, Shrinking large visual vocabularies using multi-label agglomerative information bottleneck
Image Processing (ICIP), 2010 17th IEEE International Conference on, 2010 [bibtex] [url]

W. Wojcikiewicz, A. Binder, M. Kawanabe, Enhancing Image Classification with Class-wise Clustered Vocabularies
Pattern Recognition (ICPR), 2010 20th International Conference on, 2010 [bibtex] [url]

Technical reports

M. Kloft, U. Brefeld, S. Sonnenburg, A. Zien, Non-Sparse Regularization and Efficient Training with Multiple Kernels
EECS Department, University of California, Berkeley, 2010 [bibtex] [pdf] [url]

M. Kloft, P. Laskov, Security Analysis of Online Centroid Anomaly Detection, CoRR abs/1003.0078
EECS Department, University of California, Berkeley, 2010 [bibtex] [pdf] [url]

I. Schuster, T. Krueger, C. Gehl, K. Rieck, P. Laskov, FIPS: FIRST Intrusion Prevention System
Fraunhofer Institute FIRST, 2010 [bibtex]

2009

Journal papers

P. v. Bünau, F. C. Meinecke, F. Király, K. R. Müller, Finding Stationary Subspaces in Multivariate Time Series
Physical Review Letters, 103:214101, 2009 [bibtex]

F. Biessmann, F. C. Meinecke, A. Gretton, A. Rauch, G. Rainer, N. Logothetis, K. R. Müller, Temporal Kernel Canonical Correlation Analysis and its Application in Multimodal Neuronal Data Analysis
Machine Learning, 79(1-2):5-27, 2009 [bibtex] [pdf] [url]

J. Conradi, B. Blankertz, M. Tangermann, V. Kunzmann, G. Curio, Brain-Computer Interfacing in Tetraplegic Patients with High Spinal Cord Injury
International Journal of Bioelectromagnetism, 11(2):65-68, 2009 [bibtex] [pdf] [url]

S. Fazli, F. Popescu, M. Danóczy, B. Blankertz, K. R. Müller, C. Grozea, Subject-independent mental state classification in single trials
Neural networks : the official journal of the International Neural Network Society, 22(9):1305-1312, 2009 [bibtex] [url]

K. Hansen, S. Mika, T. Schroeter, A. Sutter, A. t. Laak, T. Steger-Hartmann, N. Heinrich, K. R. Müller, Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
J. Chem. Inf. Model., 49(9):2077-2081, 2009 [bibtex] [url]

K. Hansen, F. Rathke, T. Schroeter, G. Rast, T. Fox, J. M. Kriegl, S. Mika, BiasCorrection of Regression Models: A Case Study on hERG Inhibition
Journal of Chemical Information and Modelling, 49(6):1486-1496, 2009 [bibtex] [url]

S. Lemm, K. R. Müller, G. Curio, A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
PLoS Comput Biol, Public Library of Science, 5(8), 2009 [bibtex] [url]

C. Sannelli, M. Braun, K. R. Müller, Improving BCI performance by task-related trial pruning
Neural Networks, 22:1295-1304, 2009 [bibtex] [url]

M. Schreuder, M. Tangermann, B. Blankertz, Initial results of a high-speed spatial auditory BCI
International Journal of Bioelectromagnetism, 11(2):105-109, 2009 [bibtex] [pdf] [url]

R. Schubert, S. Haufe, F. Blankenburg, A. Villringer, G. Curio, Now you'll feel it - now you won't: EEG rhythms predict the effectiveness of perceptual masking
Journal of cognitive neuroscience, 21(12):2407-2419, 2009 [bibtex] [url]

A. Schwaighofer, T. Schroeter, S. Mika, G. Blanchard, How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars
Combinatorial Chemistry & High Throughput Screening, 12(5):453-468, 2009 [bibtex] [url]

M. Tangermann, I. Winkler, S. Haufe, B. Blankertz, Classification of Artifactual ICA Components
International Journal of Bioelectromagnetism, 11(2):110-114, 2009 [bibtex] [pdf] [url]

C. Vidaurre, N. Krämer, B. Blankertz, A. Schlögl, Time Domain Parameters as a feature for EEG-based Brain Computer Interfaces
Neural Networks, 22:1313-1319, 2009 [bibtex] [url]

S. Wahl, K. Rieck, P. Laskov, P. Domschitz, K. R. Müller, Securing IMS against Novel Threats
Bell Labs Technical Journal, 14(1):243-257, 2009 [bibtex] [pdf]

J. Williamson, R. Murray-Smith, B. Blankertz, M. Krauledat, K. R. Müller, Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces
Int J Hum Comput Stud, 67(10):827-841, 2009 [bibtex] [url]

Book chapters

S. Fazli, C. Grozea, M. Danóczy, B. Blankertz, F. Popescu, K. Müller, Subject independent EEG-based BCI decoding
Advances in Neural Information Processing Systems 22, 2009 [bibtex]

M. Kloft, U. Brefeld, S. Sonnenburg, P. Laskov, K. R. Müller, A. Zien, Efficient and Accurate Lp-Norm Multiple Kernel Learning
Advances in Neural Information Processing Systems 22, MIT Press, 2009 [bibtex] [pdf]

Conference papers

P. v. Bünau, F. C. Meinecke, K. R. Müller, Stationary Subspace Analysis
ICA, 2009 [bibtex] [url]

B. Blankertz, K. R. Müller, G. Curio, Neuronal Correlates of Emotions in Human-Machine Interaction, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
BMC Neuroscience 2009, 10:(Suppl 1):P80, 2009 [bibtex] [url]

B. Blankertz, C. Vidaurre, Towards a Cure for BCI Illiteracy: Machine-Learning Based Co-adaptive Learning, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
BMC Neuroscience 2009, 10:(Suppl 1):P85, 2009 [bibtex] [url]

B. Blankertz, C. Sannelli, S. Halder, E. Hammer, A. Kübler, K. R. Müller, G. Curio, T. Dickhaus, Predicting BCI Performance to Study BCI Illiteracy
7th NFSI & ICBEM 2009, 2009 [bibtex] [pdf]

T. Dickhaus, C. Sannelli, K. R. Müller, G. Curio, B. Blankertz, Predicting BCI Performance to Study BCI Illiteracy, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
BMC Neuroscience 2009, 10:(Suppl 1):P84, 2009 [bibtex] [url]

P. Durka, M. Roszkowski, J. Zygierewicz, S. Haufe, G. Nolte, P. Zwolinski, An open database of EEG data from child epilepsy with postoperational foci localization at eeg.pl/epi, Conference Abstract: Neuroinformatics 2009
Frontiers in Neuroscience, 2009 [bibtex] [url]

N. Görnitz, M. Kloft, K. Rieck, U. Brefeld, Active Learning for Network Intrusion Detection
Proc. of CCS Workshop on Security and Artificial Intelligence (AISEC), 2009 [bibtex] [pdf]

N. Görnitz, M. Kloft, U. Brefeld, Active and Semi-supervised Data Domain Description
Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2009 [bibtex] [pdf]

M. Kawanabe, C. Vidaurre, S. Schoeller, B. Blankertz, K. R. Mueller, Robust Common Spatial Filters with a Maxmin Approach
EMBS-Conference, 2009 [bibtex]

M. Kawanabe, C. Vidaurre, Improving BCI Performance by Modified Common Spatial Patterns with Robustly Averaged Covariance Matrices
WC2009, 2009 [bibtex]

M. Kawanabe, C. Vidaurre, B. Blankertz, K. R. Müller, A maxmin approach to optimize spatial filters for EEG single-trial classification
Proceedings of IWANN 09, Part I, LNCS, 2009 [bibtex] [pdf]

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

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

T. Lang, M. Toussaint, Approximate Inference for Planning in Stochastic Relational Worlds
Proc. of the Int. Conf. on Machine Learning (ICML), 2009 [bibtex] [pdf]

P. Laskov, M. Kloft, A framework for quantitative security analysis of machine learning
Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence (AISEC), 2009 [bibtex] [pdf]

F. C. Meinecke, P. v. Bünau, M. Kawanabe, K. R. Müller, Learning invariances with Stationary Subspace Analysis
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on, 2009 [bibtex]

S. Nakajima, A. Binder, C. Müller, W. Wojcikiewicz, M. Kloft, U. Brefeld, K. R. Müller, M. Kawanabe, Multiple Kernel Learning for Object Classification
Proceedings of the 12th Workshop on Information-based Induction Sciences, 2009 [bibtex] [pdf]

L. Ramsey, M. Tangermann, S. Haufe, B. Blankertz, Practicing fast-decision BCI using a "goalkeeper" paradigm, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
BMC Neuroscience 2009, 10:(Suppl 1):P69, 2009 [bibtex] [pdf] [url]

K. Rieck, P. Laskov, Visualization and Explanation of Payload-Based Anomaly Detection
Proc. of European Conference on Computer Network Defense (EC2ND), 2009 [bibtex] [pdf]

M. Tangermann, M. Krauledat, K. Grzeska, M. Sagebaum, B. Blankertz, C. Vidaurre, K. R. Müller, Playing Pinball with non-invasive BCI
Advances in Neural Information Processing Systems 21, December 8-11, 2008, MIT Press, 2009 [bibtex] [pdf]

Technical reports

R. Jenssen, M. Kloft, A. Zien, S. Sonnenburg, K. R. Müller, A Multi-Class Support Vector Machine Based on Scatter Criteria
Technische Universität Berlin, 2009 [bibtex] [url]

K. Rieck, P. Trinius, C. Willems, T. Holz, Automatic Analysis of Malware Behavior using Machine Learning
Berlin Institute of Technology, 2009 [bibtex]

2008

Journal papers

A. Ben-Hur, C. S. Ong, S. Sonnenburg, B. Schölkopf, G. Rätsch, Support Vector Machines and Kernels for Computational Biology
PLoS Computational Biology, 4, 2008 [bibtex] [url]

B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, K. R. Müller, Optimizing Spatial Filters for Robust EEG Single-Trial Analysis
IEEE Signal Processing Magazine, 25(1):41-56, 2008 [bibtex] [pdf] [url]

B. Blankertz, F. Losch, M. Krauledat, G. Dornhege, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
IEEE transactions on bio-medical engineering, 55(10):2452-2462, 2008 [bibtex] [pdf] [url]

M. L. Braun, J. Buhmann, K. R. Müller, On Relevant Dimensions in Kernel Feature Spaces
Journal of Machine Learning Research, 9:1875-1908, 2008 [bibtex]

S. Haufe, V. V. Nikulin, A. Ziehe, K. R. Müller, G. Nolte, Combining sparsity and rotational invariance in EEG/MEG source reconstruction
NeuroImage, 42(2):726-738, 2008 [bibtex] [pdf] [url]

M. Krauledat, M. Tangermann, B. Blankertz, K. R. Müller, Towards Zero Training for Brain-Computer Interfacing
PloS one, Public Library of Science, 3(8):e2967, 2008 [bibtex] [pdf] [url]

K. R. Müller, M. Tangermann, G. Dornhege, M. Krauledat, G. Curio, B. Blankertz, Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring
Journal of neuroscience methods, 167(1):82-90, 2008 [bibtex] [pdf] [url]

L. Marzetti, C. D. Gratta, G. Nolte, Understanding brain connectivity from EEG data by identifying systems composed of interacting sources
NeuroImage, 42(1):87 - 98, 2008 [bibtex]

A. Nijholt, D. Tan, G. Pfurtscheller, C. Brunner, J. Millán, B. Allison, B. Grainmann, F. Popescu, B. Blankertz, K. R. Müller, Brain-Computer Interfacing for Intelligent Systems
IEEE Intelligent Systems, 23(3):72-79, 2008 [bibtex] [pdf] [url]

G. Nolte, A. Ziehe, V. Nikulin, A. Schlögl, N. Krämer, T. Brismar, K. R. Müller, Robustly Estimating the Flow Direction of Information in Complex Physical Systems
Physical Review Letters, 100:234101, 2008 [bibtex] [pdf] [url]

K. Rieck, P. Laskov, Linear-Time Computation of Similarity Measures for Sequential Data
Journal of Machine Learning Research, Microtome Publishing, 9(Jan):23-48, 2008 [bibtex] [pdf]

A. Schwaighofer, T. Schroeter, S. Mika, K. Hansen, A. t. Laak, P. Lienau, A. Reichel, N. Heinrich, K. R. Müller, A Probabilistic Approach to Classifying Metabolic Stability
Journal of Chemical Information and Modelling, 48(4):785-796, 2008 [bibtex] [pdf] [url]

S. Sonnenburg, A. Zien, P. Philips, G. Rätsch, POIMs: Positional Oligomer Importance Matrices - Understanding Support Vector Machine Based Signal Detectors, (received the Best Student Paper Award at ISMB08)
Bioinformatics, 2008 [bibtex]

M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, P. v. Bünau, M. Kawanabe, Direct Importance Estimation for Covariate Shift Adaptation
Annals of the Institute of Statistical Mathematics, 60(4):699-746, 2008 [bibtex]

Book chapters

B. Blankertz, M. Tangermann, F. Popescu, M. Krauledat, S. Fazli, M. Danóczy, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface
WCCI 2008 Plenary/Invited Lectures, Springer, LNCS, 5050:79-101, 2008 [bibtex] [pdf] [url]

B. Blankertz, M. Kawanabe, R. Tomioka, F. Hohlefeld, V. Nikulin, K. R. Müller, Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Advances in Neural Information Processing Systems 20, MIT Press, 2008 [bibtex] [pdf]

S. Haufe, V. V. Nikulin, A. Ziehe, K. R. Müller, G. Nolte, Estimating vector fields using sparse basis field expansions
Advances in Neural Information Processing Systems 21, MIT Press, 2008 [bibtex] [pdf]

P. Laskov, K. Rieck, K. R. Müller, Machine Learning for Intrusion Detection
Mining Massive Data Sets for Security, IOS press, 2008 [bibtex]

H. Purwins, B. Blankertz, K. Obermayer, Toroidal Models in Tonal Theory and Pitch- Class Analysis
Tonal Theory for the Digital Age, Computing in Musicology, Center for Computer Assisted Research in the Humanities and MIT Press, 15:74-103, 2008 [bibtex] [pdf]

Conference papers

L. Braun, F. Dressler, T. Holz, E. Kirda, J. Kohlrausch, C. K. Limmer, K. Rieck, J. P. Sterbenz, Requirements for Network Monitoring from an IDS Perspective
Perspectives Workshop: Network Attack Detection and Defense (Dagstuhl Seminar Proceedings), 2008 [bibtex]

P. Düssel, C. Gehl, P. Laskov, K. Rieck, Incorporation of Application Layer Protocol Syntax into Anomaly Detection
Proc. of International Conference on Information Systems Security (ICISS), 2008 [bibtex] [pdf]

M. Dacier, H. Debar, T. Holz, E. Kirda, J. Kohlrausch, C. Kruegel, K. Rieck, J. P. Sterbenz, Attack Taxonomy
Perspectives Workshop: Network Attack Detection and Defense (Dagstuhl Seminar Proceedings), 2008 [bibtex]

S. Fazli, M. Danóczy, M. Kawanabe, F. Popescu, Asynchronous, adaptive BCI using movement imagination training and rest-state inference
IASTED's Proceedings on Artificial Intelligence and Applications 2008, 2008 [bibtex] [url]

V. Franc, S. Sonnenburg, OCAS Optimized cutting plane algorithm for support vector machines
Proceedings of the 25nd International Machine Learning Conference, ACM Press, 2008 [bibtex]

T. Holz, C. Gorecki, K. Rieck, F. C. Freiling, Measuring and Detecting Fast-Flux Service Networks
15th Annual Network & Distributed System Security Symposium (NDSS), 2008 [bibtex] [pdf]

M. Kloft, U. Brefeld, P. Laskov, S. Sonnenburg, Non-Sparse Multiple Kernel Learning
Proc. of the NIPS Workshop on Kernel Learning: Automatic Selection of Kernels, 2008 [bibtex] [pdf]

M. Kloft, U. Brefeld, P. Düssel, C. Gehl, P. Laskov, Automatic feature selection for anomaly detection
AISec, ACM, 2008 [bibtex] [pdf]

T. Krueger, C. Gehl, K. Rieck, P. Laskov, An Architecture for Inline Anomaly Detection
Proc. of European Conference on Computer Network Defense (EC2ND), 2008 [bibtex] [pdf]

K. Rieck, S. Wahl, P. Laskov, P. Domschitz, K. R. Müller, A Self-Learning System for Detection of Anomalous SIP Messages
Principles, Systems and Applications of IP Telecommunications (IPTCOMM), Second International Conference, LNCS, 2008 [bibtex] [pdf]

K. Rieck, T. Holz, C. Willems, P. Düssel, P. Laskov, Learning and Classification of Malware Behavior
Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of 5th DIMVA Conference, 2008 [bibtex] [pdf]

R. Schubert, M. Tangermann, S. Haufe, C. Sannelli, M. Simon, E. A. Schmidt, W. E. Kincses, G. Curio, Parieto-occipital alpha power indexes distraction during simulated car driving, Abstracts of the 14th World Congress of Psychophysiology
International Journal of Psychophysiology, 69(3), 2008 [bibtex] [pdf] [url]

M. Schubert, J. Kohlmorgen, Hierarchical Feature Extraction for Compact Representation and Classification of Datasets
ICONIP 2007, Springer, LNCS 4984, 2008 [bibtex] [pdf]

C. Vidaurre, A. Schlögl, 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, 2008 [bibtex]

Technical reports

K. Rieck, U. Brefeld, T. Krueger, Approximate Kernels for Trees
Fraunhofer Institute FIRST, 2008 [bibtex] [pdf]

PhD theses

M. Krauledat, Analysis of Nonstationarities in EEG signals for improving Brain-Computer Interface performance
Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik, 2008 [bibtex] [pdf]

2007

Books

G. Dornhege, J. d. R. Millán, T. Hinterberger, D. McFarland, K. R. Müller, (Eds.), Toward Brain-Computer Interfacing
MIT Press, 2007 [bibtex]

Journal papers

G. Blanchard, C. Schäfer, Y. Rozenholc, K. R. Müller, Optimal dyadic decision trees
Machine Learning, 66(2-3):209-241, 2007 [bibtex] [pdf] [url]

G. Blanchard, O. Bousquet, L. Zwald, Statistical properties of kernel components analysis
Machine Learning, 66(2-3):259-294, 2007 [bibtex] [pdf] [url]

B. Blankertz, G. Dornhege, M. Krauledat, K. R. Müller, G. Curio, The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects
NeuroImage, 37(2):539-550, 2007 [bibtex] [pdf] [url]

M. Kawanabe, M. Sugiyama, G. Blanchard, K. R. Müller, A new algorithm of non-Gaussian component analysis with radial kernel functions
Annals of the Institute of Statistical Mathematics, 59(1):57-75, 2007 [bibtex]

M. Krauledat, G. Dornhege, B. Blankertz, K. R. Müller, Robustifying EEG data analysis by removing outliers
Chaos and Complexity Letters, 2(3):259-274, 2007 [bibtex] [pdf]

R. Krepki, G. Curio, B. Blankertz, K. R. Müller, Berlin Brain-Computer Interface - the HCI Communication Channel for Discovery, Special Issue on Ambient Intelligence
Int J Hum Comp Studies, 65:460-477, 2007 [bibtex] [pdf]

R. Krepki, B. Blankertz, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control in gaming applications
Journal of Multimedia Tools and Applications, 33(1):73-90, 2007 [bibtex] [pdf] [url]

V. V. Nikulin, K. Linkenkaer-Hansen, G. Nolte, S. Lemm, K. R. Müller, R. J. Ilmoniemi, G. Curio, A novel mechanism for evoked responses in human brain
The European journal of neuroscience, 25:3146-54, 2007 [bibtex] [pdf]

F. Popescu, S. Fazli, Y. Badower, B. Blankertz, K. R. Müller, Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes
PloS one, 2(7), 2007 [bibtex] [pdf] [url]

G. Rätsch, S. Sonnenburg, J. Srinivasan, H. Witte, R. Sommer, K. R. Müller, B. Schölkopf, Improving the C. elegans genome annotation using machine learning
PLoS Computational Biology, 3:e20, 2007 [bibtex] [pdf]

K. Rieck, P. Laskov, Language Models for Detection of Unknown Attacks in Network Traffic
Journal in Computer Virology, Springer, 2(4):243-256, 2007 [bibtex] [pdf]

T. Schroeter, A. Schwaighofer, S. Mika, A. t. Laak, D. Sülzle, U. Ganzer, N. Heinrich, K. R. Müller, Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models
ChemMedChem, 2(9):1265-1267, 2007 [bibtex] [pdf] [url]

T. Schroeter, A. Schwaighofer, S. Mika, A. T. Laak, D. Suelzle, U. Ganzer, N. Heinrich, K. R. Müller, Machine Learning Models for Lipophilicity and their Domain of Applicability
Mol. Pharm., 4(4):524-538, 2007 [bibtex] [pdf] [url]

T. Schroeter, A. Schwaighofer, S. Mika, A. T. Laak, D. Suelzle, U. Ganzer, N. Heinrich, K. R. Müller, 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", 21(9):485-498, 2007 [bibtex] [pdf] [url]

T. Schroeter, A. Schwaighofer, S. Mika, A. T. Laak, D. Suelzle, U. Ganzer, N. Heinrich, K. R. Müller, 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, 21(12):651-664, 2007 [bibtex] [pdf] [url]

A. Schwaighofer, T. Schroeter, S. Mika, J. Laub, A. t. Laak, D. Sülzle, U. Ganzer, N. Heinrich, K. R. Müller, Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach
Journal of Chemical Information and Modelling, 47(2):407-424, 2007 [bibtex] [pdf] [url]

S. Sonnenburg, M. Braun, C. S. Ong, S. Bengio, L. Bottou, G. H. LeCun, K. R. Müller, F. Pereira, C. E. Rasmussen, G. Rätsch, B. Schölkopf, A. Smola, P. Vincent, J. Weston, R. Williamson, The Need for Open Source Software in Machine Learning
Journal of Machine Learning Research, 8:2443-2466, 2007 [bibtex] [pdf]

S. Sonnenburg, G. Schweikert, P. Philips, J. Behr, G. Rätsch, Accurate Splice Site Prediction
BMC Bioinformatics, Special Issue from NIPS workshop on New Problems and Methods in Computational Biology Whistler, Canada, 18 December 2006, 8:(Suppl. 10):S7, 2007 [bibtex] [pdf]

M. Sugiyama, M. Krauledat, K. R. Müller, Covariate Shift Adaptation by Importance Weighted Cross Validation
Journal of Machine Learning Research, 8:1027-1061, 2007 [bibtex] [pdf]

Book chapters

B. Blankertz, G. Dornhege, M. Krauledat, V. Kunzmann, F. Losch, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain States
Toward Brain-Computer Interfacing, MIT press, 2007 [bibtex]

G. Dornhege, M. Krauledat, K. R. Müller, B. Blankertz, General signal processing and machine learning tools for BCI
Toward Brain-Computer Interfacing, MIT Press, 2007 [bibtex]

A. Kübler, K. R. Müller, An introducton to brain computer interfacing
Toward Brain-Computer Interfacing, MIT press, 2007 [bibtex]

J. Kohlmorgen, G. Dornhege, M. Braun, B. Blankertz, K. R. Müller, G. Curio, K. Hagemann, A. Bruns, M. Schrauf, W. Kincses, Improving human performance in a real operating environment through real-time mental workload detection
Toward Brain-Computer Interfacing, MIT press, 2007 [bibtex] [pdf]

M. Krauledat, P. Shenoy, B. Blankertz, R. P. Rao, K. R. Müller, Adaptation in CSP-based BCI systems
Toward Brain-Computer Interfacing, MIT Press, 2007 [bibtex]

G. Rätsch, S. Sonnenburg, Large Scale Hidden Semi-Markov SVMs
Advances in Neural Information Processing Systems 19, MIT Press, 2007 [bibtex] [pdf] [ps]

S. Sonnenburg, G. Rätsch, K. Rieck, Large Scale Learning with String Kernels
Large Scale Kernel Machines, MIT Press, 2007 [bibtex]

R. Tomioka, K. Aihara, K. R. Müller, Logistic Regression for Single Trial EEG Classification
Advances in Neural Information Processing Systems 19, MIT Press, 2007 [bibtex] [pdf]

Conference papers

S. Arlot, G. Blanchard, E. Roquain, Resampling-based confidence regions and multiple tests for a correlated random vector
Proceedings of the 20th. conference on learning theory (COLT 2007), Springer Lecture Notes on Computer Science, 4539:127-141, 2007 [bibtex] [pdf]

G. Blanchard, F. Fleuret, Occam's Hammer
Proceedings of the 20th. conference on learning theory (COLT 2007), Springer Lecture Notes on Computer Science, 4539:112-126, 2007 [bibtex] [pdf]

B. Blankertz, M. Krauledat, G. Dornhege, J. Williamson, R. Murray-Smith, K. R. Müller, A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface
Universal Access in HCI, Part II, HCII 2007, Springer, LNCS, 4555:759-768, 2007 [bibtex] [pdf]

M. L. Braun, J. Buhmann, K. R. Müller, Denoising and Dimension Reduction in Feature Space, accepted
Advances in Neural Inf. Proc. Systems (NIPS 20), 2007 [bibtex]

M. Krauledat, M. Schröder, B. Blankertz, K. R. Müller, Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Advances in Neural Information Processing Systems 19, MIT Press, 2007 [bibtex] [pdf]

S. Lemm, C. Schäfer, G. Curio, Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Advances in Neural Inf. Proc. Systems (NIPS 06), MIT press, 19:825-832, 2007 [bibtex] [pdf]

K. R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz, Machine Learning and Applications for Brain-Computer Interfacing
Human Interface, Part I, HCII 2007, Springer, LNCS, 4557:705-714, 2007 [bibtex]

K. Rieck, P. Laskov, S. Sonnenburg, Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Advances in Neural Information Processing Systems 19, MIT Press, 2007 [bibtex] [pdf]

E. A. Schmidt, W. E. Kincses, M. Schrauf, S. Haufe, R. Schubert, G. Curio, Assessing Drivers' Vigilance State During Monotonous Driving
Proceedings of the Fourth International Symposium on Human Factors in Driving Assessment, Training, and Vehicle Design, 2007 [bibtex] [pdf]

R. Tomioka, K. Aihara, Classifying Matrices with a Spectral Regularization
ICML '07: Proceedings of the 24th international conference on Machine learning, ACM Press, 2007 [bibtex] [pdf]

Technical reports

V. Franc, S. Sonnenburg, Optimized cutting plane algorithm for support vector machines
Fraunhofer Institute FIRST, 2007 [bibtex] [pdf]

A. Zien, P. Philips, S. Sonnenburg, Computing Positional Oligomer Importance Matrices (POIMs)
Fraunhofer Institute FIRST, 2007 [bibtex] [pdf]

PhD theses

S. Lemm, Analyses of single trial encephalogram data
Technical University of Berlin, 2007 [bibtex] [pdf]

2006

Journal papers

G. Blanchard, M. Sugiyama, M. Kawanabe, V. Spokoiny, K. R. Müller, In search of non-Gaussian components of a high-dimensional distribution
Journal of Machine Learning Research, 7:247-282, 2006 [bibtex] [pdf]

B. Blankertz, K. R. Müller, D. Krusienski, G. Schalk, J. R. Wolpaw, A. Schlögl, G. Pfurtscheller, J. d. R. Millán, M. Schröder, N. Birbaumer, The BCI Competition III: Validating Alternative Approachs to Actual BCI Problems
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 14(2):153-159, 2006 [bibtex] [pdf] [url]

B. Blankertz, G. Dornhege, S. Lemm, M. Krauledat, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
J Universal Computer Sci, 12(6):581-607, 2006 [bibtex] [pdf]

B. Blankertz, G. Dornhege, M. Krauledat, K. R. Müller, V. Kunzmann, F. Losch, G. Curio, The Berlin Brain-Computer Interface: EEG-based communication without subject training
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 14(2):147-152, 2006 [bibtex] [pdf] [url]

M. L. Braun, Accurate bounds for the eigenvalues of the kernel matrix
Journal of Machine Learning Research, 7:2303-2328, 2006 [bibtex]

S. CJ, J. BF, N. G, B. M, S. P, Small-World Networks and Functional Connectivity in Alzheimer's Disease
Cereb Cortex, 2006 [bibtex]

G. Dornhege, B. Blankertz, M. Krauledat, F. Losch, G. Curio, K. R. Müller, Combined optimization of spatial and temporal filters for improving Brain-Computer Interfacing
IEEE transactions on bio-medical engineering, 53(11):2274-2281, 2006 [bibtex] [pdf] [url]

S. Harmeling, G. Dornhege, D. Tax, F. C. Meinecke, K. R. Müller, From outliers to prototypes: ordering data
Neurocomputing, 69(13-15):1608-1618, 2006 [bibtex]

N. J. Hill, T. N. Lal, M. Schröder, T. Hinterberger, B. Wilhelm, F. Nijboer, U. Mochty, G. Widman, C. Elger, B. Schölkopf, A. Kübler, N. Birbaumer, 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, IEEE, 14(2):183-186, 2006 [bibtex]

P. Laskov, C. Gehl, S. Krüger, K. R. Müller, Incremental Support Vector Learning: Analysis, Implementation and Applications
Journal of Machine Learning Research, 7:1909-1936, 2006 [bibtex] [pdf]

J. Laub, V. Roth, J. Buhmann, K. R. Müller, On the information and representation of non-Euclidean pairwise data
Pattern Recognition, 39(10):1815-1826, 2006 [bibtex]

S. Lemm, G. Curio, Y. Hlushchuk, K. R. Müller, Enhancing the Signal to Noise Ratio of ICA-based Extracted ERPs
IEEE transactions on bio-medical engineering, 53(4):601-607, 2006 [bibtex]

K. R. Müller, B. Blankertz, Toward noninvasive Brain-Computer Interfaces
IEEE Signal Processing Magazine, 23(5):125-128, 2006 [bibtex] [pdf] [url]

D. J. McFarland, C. W. Anderson, K. R. Müller, A. Schlögl, D. J. Krusienski, BCI Meeting 2005-workshop on BCI signal processing: feature extraction and translation
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 14:135-138, 2006 [bibtex] [url]

G. Nolte, F. C. Meinecke, A. Ziehe, K. R. Müller, Identifying interactions in mixed and noisy complex systems
Physical Review E, 73:051913, 2006 [bibtex]

G. Rätsch, S. Sonnenburg, C. Schäfer, 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, 7:(Suppl. 1:S9), 2006 [bibtex]

R. Schubert, F. Blankenburg, S. Lemm, A. Villringer, G. Curio, Now you feel it - now you don't: ERP correlates of somatosensory awareness
Psychophysiology, 43(1):31-40, 2006 [bibtex]

P. Shenoy, M. Krauledat, B. Blankertz, R. P. Rao, K. R. Müller, Towards Adaptive Classification for BCI
Journal of neural engineering, 3(1):R13-R23, 2006 [bibtex] [pdf] [url]

S. Sonnenburg, A. Zien, G. Rätsch, ARTS: Accurate Recognition of Transcription Starts in Human
Bioinformatics, 22(14):e472-e480, 2006 [bibtex] [pdf]

S. Sonnenburg, G. Rätsch, C. Schäfer, B. Schölkopf, Large Scale Multiple Kernel Learning
Journal of Machine Learning Research, 7:1531-1565, 2006 [bibtex] [pdf]

Book chapters

N. Hill, T. N. Lal, M. Schröder, T. Hinterberger, G. Widman, C. E. Elger, B. Schölkopf, N. Birbaumer, Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals
Pattern Recognition, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 4174:404-413, 2006 [bibtex] [url]

Conference papers

G. Blanchard, M. Sugiyama, M. Kawanabe, V. Spokoiny, K. R. Müller, Non-Gaussian component analysis: a semi-parametric framework for linear dimension reduction
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006 [bibtex] [pdf]

B. Blankertz, G. Dornhege, M. Krauledat, M. Schröder, J. Williamson, R. Murray-Smith, K. R. Müller, 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, Verlag der TU Graz, 2006 [bibtex] [pdf]

M. L. Braun, T. Lange, J. Buhmann, Model Selection in Kernel Methods based on a Spectral Analysis of Label Information
Proc. DAGM, LNCS, 4174:344-353, 2006 [bibtex] [pdf]

G. Dornhege, B. Blankertz, M. Krauledat, F. Losch, G. Curio, K. R. Müller, Optimizing spatio-temporal filters for improving Brain-Computer Interfacing
Advances in Neural Inf. Proc. Systems (NIPS 05), MIT Press, 18:315-322, 2006 [bibtex]

F. Fleuret, G. Blanchard, Pattern recognition from one example via chopping
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006 [bibtex]

M. Kawanabe, G. Blanchard, M. Sugiyama, V. Spokoiny, K. R. Müller, A novel dimension reduction procedure for searching non-Gaussian subspaces, accepted
Proc. of ICA2006, 2006 [bibtex]

M. Kawanabe, F. Theis, Estimating non-Gaussian subspaces by characteristic functions, accepted
Proc. of ICA2006, 2006 [bibtex]

M. Krauledat, B. Blankertz, G. Dornhege, M. Schröder, G. Curio, K. R. Müller, On-line differentiation of neuroelectric activities: algorithms and applications
Proceedings of the 28th Annual International Conference IEEE EMBS on Biomedicine, 2006 [bibtex] [pdf]

K. R. Müller, M. Krauledat, G. Dornhege, S. Jähnichen, G. Curio, B. Blankertz, 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, 2006 [bibtex]

G. Nolte, A. Ziehe, F. C. Meinecke, K. R. Müller, Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction, accepted
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006 [bibtex]

F. Popescu, Y. Badower, S. Fazli, G. Dornhege, K. R. Müller, EEG-based control of reaching to visual targets
Dynamical Principles for neuroscience and intelligent biomimetic devices - Abstracts of the EPFL-LATSIS Symposium 2006, 2006 [bibtex]

K. Rieck, P. Laskov, K. R. Müller, Efficient Algorithms for Similarity Measures over Sequential Data: A Look beyond Kernels
Pattern Recognition, Proc. of 28th DAGM Symposium, 2006 [bibtex] [pdf]

K. Rieck, P. Laskov, Detecting Unknown Network Attacks using Language Models
Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of 3rd DIMVA Conference, 2006 [bibtex] [pdf]

S. Sonnenburg, G. Rätsch, C. Schäfer, A General and Efficient Multiple Kernel Learning Algorithm
Advances in Neural Information Processing Systems 18, MIT Press, 2006 [bibtex] [pdf] [ps]

M. Sugiyama, B. Blankertz, M. Krauledat, G. Dornhege, K. R. Müller, Importance-Weighted Cross-Validation for Covariate Shift
Proc. DAGM, LNCS 4174, Springer-Verlag, 2006 [bibtex] [pdf]

M. Sugiyama, M. Kawanabe, G. Blanchard, V. Spokoiny, K. R. Müller, Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis
Proc. of ICASSP2006, 2006 [bibtex]

F. Theis, M. Kawanabe, Uniqueness of non-Gaussian subspace analysis, accepted
Proc. of ICA2006, 2006 [bibtex]

R. Tomioka, G. Dornhege, G. Nolte, K. Aihara, K. R. Müller, Optimizing Spectral Filters for Single Trial EEG Classification
Proc. DAGM, LNCS 4174, Springer-Verlag, 2006 [bibtex] [pdf]

R. Tomioka, J. Hill, B. Blankertz, K. Aihara, Adapting Spatial Filtering Methods for Nonstationary BCIs
Proceedings of 2006 Workshop on Information-Based Induction Sciences (IBIS2006), 2006 [bibtex] [pdf]

L. Zwald, G. Blanchard, On the convergence of eigenspaces in kernel principal components analysis
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006 [bibtex] [pdf]

Technical reports

R. Tomioka, G. Dornhege, G. Nolte, B. Blankertz, K. Aihara, K. R. Müller, Spectrally Weighted Common Spatial Pattern Algorithm for Single Trial EEG Classification
Dept. of Mathematical Engineering, The University of Tokyo, 2006 [bibtex] [pdf]

PhD theses

G. Dornhege, Increasing Information Transfer Rates for Brain-Computer Interfacing
University of Potsdam, 2006 [bibtex] [pdf]

2005

Journal papers

G. Blanchard, D. Geman, Hierarchical testing designs for pattern recognition
Annals of Statistics, 33(3):1155-1202, 2005 [bibtex]

M. Kawanabe, K. R. Müller, Estimating functions for blind separation when sources have variance dependencies
Journal of Machine Learning Research, 6:453-482, 2005 [bibtex]

S. Lemm, B. Blankertz, G. Curio, K. R. Müller, Spatio-Spectral Filters for Improving Classification of Single Trial EEG
IEEE transactions on bio-medical engineering, 52(9):1541-1548, 2005 [bibtex] [pdf] [url]

K. R. Müller, G. Rätsch, S. Sonnenburg, S. Mika, M. Grimm, N. Heinrich, Classifying 'Drug-likeness' with Kernel-Based Learning Methods
J. Chem. Inf. Model, 45:249-253, 2005 [bibtex] [pdf]

F. C. Meinecke, S. Harmeling, K. R. Müller, Inlier-based ICA with an application to super-imposed images
Int. J. of Imaging Systems and Technology, 2005 [bibtex]

F. C. Meinecke, A. Ziehe, J. Kurths, K. R. Müller, Measuring Phase Synchronization of Superimposed Signals
Physical Review Letters, 94(8):084102, 2005 [bibtex] [pdf]

G. Nolte, G. Dassios, Analytic expansion of the EEG lead field for realistic volume conductors
Physics in Medicine and Biology, 50(16):3807-23, 2005 [bibtex]

G. Rätsch, S. Sonnenburg, B. Schölkopf, RASE: Recognition of Alternatively Spliced Exons in C. elegans
Bioinformatics, 21:i369-i377, 2005 [bibtex] [pdf]

C. Schäfer, J. Schräpler, K. R. Müller, G. G. Wagner, Automatic Identification of Faked and Fraudulent Interviews in the German SOEP
Schmollers Jahrbuch,Duncker & Humblot, Berlin, 125:183-193, 2005 [bibtex]

S. Sugiyama, K. R. Müller, Input-Dependent Estimation of Generalization Error under Covariate Shift
Statistics and Decisions, 23(4):249-279, 2005 [bibtex] [pdf]

Conference papers

G. Blanchard, P. Massart, R. Vert, L. Zwald, Kernel projection machine: a new tool for pattern recognition
Advances in Neural Inf. Proc. Systems (NIPS 04), 2005 [bibtex]

M. Kawanabe, Linear dimension reduction based on the fourth-order cumulant tensor
Proc. of Artifical Neural Networks - ICANN 2005, 2005 [bibtex]

P. Laskov, K. Rieck, C. Schäfer, K. R. Müller, Visualization of anomaly detection using prediction sensitivity
Proc. of Conference "Sicherheit, Schutz und Zuverlässigkeit" (SICHERHEIT), 2005 [bibtex] [pdf]

P. Laskov, P. Düssel, C. Schäfer, K. Rieck, Learning intrusion detection: supervised or unsupervised?
Image Analysis and Processing, Proc. of 13th ICIAP Conference, 2005 [bibtex] [pdf]

C. Schäfer, S. Lemm, G. Curio, Binary on-line classification based on temporally integrated information
Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation, 2005 [bibtex]

C. Schäfer, J. Laub, GfKl 2004 contest: Annealed $k$-means clustering and Decision Trees
Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation, 2005 [bibtex]

A. Schwaighofer, V. Tresp, K. Yu, Learning Gaussian Process Kernels via Hierarchical Bayes
Advances in Neural Inf. Proc. Systems (NIPS 2004), MIT Press, 2005 [bibtex]

S. Sonnenburg, G. Rätsch, C. Schäfer, Learning Interpretable SVMs for Biological Sequence Classification
RECOMB 2005, LNBI 3500, Springer-Verlag Berlin Heidelberg, 2005 [bibtex] [pdf] [ps]

S. Sonnenburg, G. Rätsch, B. Schölkopf, Large Scale Genomic Sequence SVM Classifiers
Proceedings of the International Conference on MachineLearning, ICML, 2005 [bibtex] [pdf] [ps]

K. Yu, V. Tresp, A. Schwaighofer, Learning Gaussian Processes from Multiple Tasks
Machine Learning: Proceedings of the 22nd International Conference (ICML 2005), Morgan Kaufman, 2005 [bibtex]

Technical reports

B. Blankertz, G. Dornhege, M. Krauledat, K. R. Müller, G. Curio, The Berlin Brain-Computer Interface: Report from the Feedback Sessions
Fraunhofer FIRST, 2005 [bibtex] [pdf]

PhD theses

M. L. Braun, Spectral Properties of the Kernel Matrix and their Relation to Kernel Methods in Machine Learning
University of Bonn, 2005 [bibtex] [url]

2004

Journal papers

G. Blanchard, Un algorithme accelere d'echantillonnage Bayesien pour le modele CART
Revue d'Intelligence artificielle, 18(3):383-410, 2004 [bibtex]

G. Blanchard, B. Blankertz, BCI Competition 2003 - Data Set IIa: Spatial Patterns of Self-Controlled Brain Rhythm Modulations
IEEE transactions on bio-medical engineering, 51(6):1062-1066, 2004 [bibtex] [pdf] [url]

G. Blanchard, Different paradigms for choosing sequential reweighting algorithms
Neural Computation, 16:811-836, 2004 [bibtex] [pdf]

B. Blankertz, K. R. Müller, G. Curio, T. M. Vaughan, G. Schalk, J. R. Wolpaw, A. Schlögl, C. Neuper, G. Pfurtscheller, T. Hinterberger, M. Schröder, N. Birbaumer, The BCI Competition 2003: Progress and Perspectives in Detection and Discrimination of EEG Single Trials
IEEE transactions on bio-medical engineering, 51(6):1044-1051, 2004 [bibtex] [pdf] [url]

M. Dejori, A. Schwaighofer, V. Tresp, M. Stetter, Mining Functional Modules in Genetic Networks with Decomposable Graphical Models
OMICS Journal of Integrative Biology, 8(2):176-188, 2004 [bibtex]

G. Dornhege, B. Blankertz, G. Curio, K. R. Müller, Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms
IEEE transactions on bio-medical engineering, 51(6):993-1002, 2004 [bibtex] [pdf] [url]

S. Harmeling, F. C. Meinecke, K. R. Müller, Injecting noise for analysing the stability of ICA components
Signal Processing, 84:255-266, 2004 [bibtex]

T. Hinterberger, S. Schmidt, N. Neumann, J. Mellinger, B. Blankertz, G. Curio, N. Birbaumer, Brain-Computer Communication with Slow Cortical Potentials: Methodology and Critical Aspects
IEEE transactions on bio-medical engineering, 51(6):1011-1018, 2004 [bibtex] [pdf] [url]

S. Knabe, S. Mika, M. K.-R., R. G., W. Schruff, Zur Beurteilung des Fraud-Risikos im Rahmen der Abschlussprüfung
Die Wirtschaftsprüfung, 19:1057-1068, 2004 [bibtex]

J. Kohlmorgen, B. Blankertz, Bayesian Classification of Single-Trial Event-Related Potentials in EEG
Int. J. Bif. Chaos, 14(2):719-726, 2004 [bibtex] [pdf]

M. Krauledat, G. Dornhege, B. Blankertz, G. Curio, K. R. Müller, The Berlin Brain-Computer Interface For Rapid Response
Biomed Tech, 49(1):61-62, 2004 [bibtex] [pdf]

P. Laskov, C. Schäfer, I. Kotenko, K. R. Müller, Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines (Extended Version)
Praxis der Informationsverarbeitung und Kommunikation, 27:228-236, 2004 [bibtex]

J. Laub, K. R. Müller, Feature Discovery in Non-Metric Pairwise Data
Journal of Machine Learning, 5(Jul):801-818, 2004 [bibtex]

S. Lemm, C. Schäfer, G. Curio, Probabilistic Modeling of Sensorimotor $u$-Rhythms for Classification of Imaginary Hand Movements
IEEE transactions on bio-medical engineering, 51(6):1077-1080, 2004 [bibtex] [pdf]

K. R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz, Machine learning techniques for Brain-Computer Interfaces
Biomed Tech, 49(1):11-22, 2004 [bibtex] [pdf]

K. R. Müller, R. Vigario, F. C. Meinecke, A. Ziehe, Blind Source Separation Techniques For Decomposing Event-Related Brain Signals
International Journal of Bifurcation and Chaos, 14(2):773-791, 2004 [bibtex]

G. Nolte, O. Bai, L. Wheaton, Z. Mari, S. Vorbach, M. Hallett, Identifying true brain interaction from EEG data using the imaginary part of coherency
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 115:2292-2307, 2004 [bibtex]

E. Oja, S. Harmeling, L. Almeida, Independent component analysis and beyond - Editorial for the special section on ICA
Signal Processing, 2004 [bibtex]

M. Sugiyama, M. Kawanabe, K. R. Müller, Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression
Neural Computation, 16(5):1077-1104, 2004 [bibtex] [pdf]

M. Sugiyama, Y. Okabe, H. Ogawa, Perturbation Analysis of a Generalization Error Estimator
Neural Information Processing - Letters and Reviews, 2(2):33-38, 2004 [bibtex] [pdf]

K. Tsuda, S. Akaho, M. Kawanabe, K. R. Müller, Asymptotic properties of the Fisher kernel
Neural Computation, 16:115-137, 2004 [bibtex]

A. Ziehe, P. Laskov, G. Nolte, K. R. Müller, A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation
Journal of Machine Learning Research, 5:777-800, 2004 [bibtex] [pdf]

Book chapters

G. Dornhege, B. Blankertz, G. Curio, K. R. Müller, Increase Information Transfer Rates in BCI by CSP Extension to Multi-class
Advances in Neural Information Processing Systems, MIT Press, 16:733-740, 2004 [bibtex] [pdf]

S. Mika, C. Schäfer, P. Laskov, D. Tax, K. R. Müller, Support Vector Machines
Handbook of Computational Statistics, Springer, Berlin, 2004 [bibtex]

H. Purwins, T. Graepel, B. Blankertz, K. Obermayer, Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer, ISBN 3-923486-57-X
Perspectives in Mathematical and Computational Music Theory, epOs Verlag, 2004 [bibtex] [pdf]

G. Rätsch, S. Sonnenburg, Accurate Splice Site Prediction for Caenorhabditis Elegans
Kernel Methods in Computational Biology, MIT Press, MIT Press series on Computational Molecular Biology, 2004 [bibtex] [pdf]

Conference papers

G. Blanchard, C. Schäfer, Y. Rozenholc, Oracle bounds and exact algorithm for dyadic classification trees
Proceedings of the 17th. Conference on Learning Theory (COLT 2004), Springer, 2004 [bibtex] [pdf]

O. Bousquet, L. Zwald, G. Blanchard, Statistical properties of Kernel Principal Component Analysis, to appear in Springer Lecture Notes in Artificial Intelligence
Proceedings of the 17th. Conference on Learning Theory (COLT 2004), 2004 [bibtex] [pdf]

M. Kawanabe, New algorithms for blind separation when sources have spatial variance dependencies, accepted
Proc. of the symposium on Brain Inspired Cognitive Systems (BICS2004), 2004 [bibtex] [pdf]

M. Kawanabe, K. R. Müller, Estimating functions for blind separation when sources have variance-dependencies, accepted
Proc. of ICA2004, 2004 [bibtex] [pdf]

J. Kohlmorgen, Tracking and Visualization of Changes in High-Dimensional Non-Parametric Distributions
Machine Learning for Signal Processing XIV, IEEE, 2004 [bibtex] [pdf]

M. Krauledat, G. Dornhege, B. Blankertz, F. Losch, G. Curio, K. R. Müller, Improving Speed And Accuracy Of Brain-Computer Interfaces Using Readiness Potential Features
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 4:4511-4515, 2004 [bibtex] [pdf] [url]

P. Laskov, C. Schäfer, I. Kotenko, Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines
Detection of Intrusions and Malware, and Vulnerability Assessment, Proc. of DIMVA Conference, 2004 [bibtex]

F. C. Meinecke, S. Harmeling, K. R. Müller, Robust ICA for Super-Gaussian Sources
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2004), 2004 [bibtex] [pdf]

H. Purwins, B. Blankertz, G. Dornhege, K. Obermayer, Scale Degree Profiles from Audio Investigated with Machine Learning Techniques
Audio Engineering Society 116th Convention, 2004 [bibtex] [pdf]

C. v. Wrede, P. Laskov, Using classification to determine the number of finger strokes on a multi-touch tactile device
Proc. ESANN, 2004 [bibtex] [pdf]

A. Yeredor, A. Ziehe, K. R. Müller, Approximate joint diagonalization using a natural-gradient approach, Proc. ICA 2004
Lecture Notes in Computer Science, Springer-Verlag, 3195:89-96, 2004 [bibtex]

PhD theses

R. Krepki, Brain-Computer Interfaces: Design and Implementation of an Online BCI System of the Control in Gaming Applications and Virtual Limbs
Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik, 2004 [bibtex]

2003

Journal papers

G. Blanchard, G. Lugosi, N. Vayatis, On the rate of convergence of regularized Boosting classifiers.
Journal of Machine Learning Research, 4:861-894, 2003 [bibtex] [pdf]

B. Blankertz, G. Dornhege, C. Schäfer, R. Krepki, J. Kohlmorgen, K. R. Müller, V. Kunzmann, F. Losch, G. Curio, Boosting Bit Rates and Error Detection for the Classification of Fast-Paced Motor Commands Based on Single-Trial EEG Analysis
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 11(2):127-131, 2003 [bibtex] [pdf] [url]

S. Harmeling, A. Ziehe, M. Kawanabe, K. R. Müller, Kernel-based Nonlinear Blind Source Separation
Neural Computation, 15:1089-1124, 2003 [bibtex]

K. R. Müller, C. W. Anderson, G. E. Birch, Linear and Non-Linear Methods for Brain-Computer Interfaces
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 11(2):165-169, 2003 [bibtex] [pdf]

S. Mika, G. Rätsch, J. Weston, B. Schölkopf, A. Smola, K. R. Müller, Constructing Descriptive and Discriminative Non-Linear Features: Rayleigh Coefficients in Kernel Feature Spaces
IEEE Transaction on Pattern Analysis and Machine Intelligence, 25(5):623-628, 2003 [bibtex]

V. Roth, J. Laub, M. Kawanabe, J. Buhmann, Optimal Cluster Preserving Embedding of Non-Metric Proximity Data
IEEE Trans. PAMI, 25:1540-1551, 2003 [bibtex]

P. Sajda, A. Gerson, K. R. Müller, B. Blankertz, L. Parra, A Data Analysis Competition to Evaluate Machine Learning Algorithms for use in Brain-Computer Interfaces
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 11(2):184-185, 2003 [bibtex] [pdf] [url]

D. Tax, P. Juszczak, Kernel whitening for one-class classification
International journal of pattern recognition and artificial intelligence, 17(3):333-348, 2003 [bibtex]

M. K. Warmuth, J. Liao, G. Rätsch, M. M., S. Putta, C. Lemmem, Active Learning with Support Vector Machines in the Drug Discovery Process
Journal of Chemical Information and Computer Sciences, 43(2):667-673, 2003 [bibtex]

A. Ziehe, M. Kawanabe, S. Harmeling, K. R. Müller, Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
Journal of Machine Learning Research, 4:1319-1338, 2003 [bibtex] [pdf]

Conference papers

G. Dornhege, B. Blankertz, G. Curio, 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, 2003 [bibtex] [pdf]

G. Dornhege, B. Blankertz, G. Curio, K. R. Müller, Combining Features for BCI
Advances in Neural Inf. Proc. Systems (NIPS 02), 15:1115-1122, 2003 [bibtex] [pdf]

S. Harmeling, F. C. Meinecke, K. R. Müller, Analysing ICA components by injecting noise
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2003), 2003 [bibtex] [pdf]

J. Kohlmorgen, On Optimal Segmentation of Sequential Data
Neural Networks for Signal Processing XIII, IEEE, 2003 [bibtex] [pdf]

R. Krepki, B. Blankertz, G. Curio, K. R. Müller, 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), 2003 [bibtex] [pdf]

G. Rätsch, Robust Multi-Class Boosting
Proc. Euro-Speech, 2003 [bibtex]

G. Rätsch, A. Smola, S. Mika, Adapting Codes and Embeddings for Polychotomies
Advances in Neural Information Processing 15, MIT Press, 2003 [bibtex]

G. Rätsch, A. Smola, S. Mika, Adapting Codes and Embeddings for Polychotomies, Slides of the talk at the main conference: PS,PDF
Advances in Neural information processing systems, 15, 2003 [bibtex]

V. Roth, J. Laub, J. Buhmann, K. R. Müller, Going metric: Denoising pairwise data
Advances in Neural Information Processing 15, MIT Press, 2003 [bibtex]

D. Tax, K. R. Müller, Feature extraction for one-class classification
ICANN/ICONIP, 2003 [bibtex] [pdf]

D. Tax, P. Laskov, Online SVM learning: from classification to data description and back
Proc. NNSP, 2003 [bibtex] [pdf]

K. Tsuda, M. Kawanabe, K. R. Müller, Clustering with the Fisher score
Advances in Neural Information Processing 15, MIT Press, 2003 [bibtex]

O. Weiss, A. Ziehe, H. Herzel, Optimizing Property Codes in Protein Data Reveals Structural Characteristics
ICANN/ICONIP 2003, 2003 [bibtex] [pdf]

A. Ziehe, P. Laskov, K. R. Müller, G. Nolte, A Linear Least-Squares Algorithm for Joint Diagonalization
Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), 2003 [bibtex]

A. Ziehe, M. Kawanabe, S. Harmeling, K. R. Müller, Blind Separation of Post-Nonlinear Mixtures using Gaussianizing Transformations and Temporal Decorrelation
Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), 2003 [bibtex]

2002

Journal papers

F. C. Meinecke, A. Ziehe, M. Kawanabe, K. R. Müller, A Resampling Approach to Estimate the Stability of one- or multidimensional Independent Components
IEEE transactions on bio-medical engineering, 49(12):1514-1525, 2002 [bibtex] [pdf]

N. Murata, M. Kawanabe, A. Ziehe, K. R. Müller, S. Amari, On-line learning in changing environments with applications in supervised and unsupervised learning
Neural Networks, 15(4-6):743-760, 2002 [bibtex]

G. Rätsch, S. Mika, B. Schölkopf, K. R. Müller, Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9):1184-1199, 2002 [bibtex] [pdf]

G. Rätsch, A. Demiriz, K. Bennett, Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning special issue on "New Methods for Model Selection and Model Combination", 48:193-221, 2002 [bibtex] [pdf]

M. Sugiyama, K. R. Müller, The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
Journal of Machine Learning Research, 3(Nov):323-359, 2002 [bibtex] [pdf]

K. Tsuda, M. Sugiyama, K. R. Müller, Subspace Information Criterion for Non-Quadratic Regularizers - Model Selection for Sparse Regressors
IEEE Transactions on Neural Networks, 13(1):70-80, 2002 [bibtex] [pdf]

K. Tsuda, M. Sugiyama, K. R. Müller, Subspace Information Criterion for Sparse Regressors, in Japanese
IEICE Transactions, 85-D-II(5):766-775, 2002 [bibtex] [pdf]

K. Tsuda, M. Kawanabe, G. Rätsch, S. Sonnenburg, K. R. Müller, A New Discriminative Kernel from Probabilistic Models
Neural Computation, 14:2397-2414, 2002 [bibtex] [pdf] [ps]

Conference papers

B. Blankertz, C. Schäfer, G. Dornhege, G. Curio, Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI transmission rates
Artificial Neural Networks - ICANN 2002, 2002 [bibtex] [pdf]

B. Blankertz, G. Curio, K. R. Müller, Classifying Single Trial EEG: Towards Brain Computer Interfacing
Advances in Neural Inf. Proc. Systems (NIPS 01), 14:157-164, 2002 [bibtex] [pdf]

S. Harmeling, A. Ziehe, M. Kawanabe, K. R. Müller, Kernel feature spaces and Nonlinear blind source separation
Advances in Neural Information Processing Systems, MIT Press, 14, 2002 [bibtex] [pdf]

P. Juszczak, D. Tax, R. Duin, Feature scaling in support vector data description
Advanced School for Computing and Imaging 2002 Conference, 2002 [bibtex] [pdf]

J. Kohlmorgen, S. Lemm, A Dynamic HMM for On-line Segmentation of Sequential Data
Advances in Neural Information Processing Systems 14, MIT Press, 2002 [bibtex] [pdf]

J. Kohlmorgen, B. Blankertz, A Simple Generative Model for Single-Trial EEG Classification
Artificial Neural Networks - ICANN 2002, Springer, 2002 [bibtex] [pdf]

C. Lai, D. Tax, R. Duin, E. Pekalska, P. Paclik, On combining one-class classifiers for image database retrieval
3rd international workshop on multiple classifier systems, 2002 [bibtex] [pdf]

F. C. Meinecke, A. Ziehe, M. Kawanabe, K. R. Müller, Estimating the Reliability of ICA Projections
Advances in Neural Information Processing Systems 14, MIT Press, 2002 [bibtex] [pdf]

E. Pekalska, D. Tax, R. Duin, One-class LP classifier for dissimilarity representations
Neural Information Processing Systems, 2002 [bibtex] [pdf]

G. Rätsch, S. Mika, M. Warmuth, On the Convergence of Leveraging, Longer version also NeuroCOLT Technical Report NC-TR-2001-098
Advances in Neural information processing systems, 14, 2002 [bibtex] [pdf]

S. Sonnenburg, G. Rätsch, A. Jagota, K. R. Müller, New Methods for Splice-Site Recognition, Copyright by Springer
In Proceedings of the International Conference on Artifical Neural Networks., 2002 [bibtex] [pdf] [ps]

M. Sugiyama, K. R. Müller, Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces
Artificial Neural Networks, Springer, Lecture Notes in Computer Science, 2415:528-534, 2002 [bibtex] [pdf]

K. Tsuda, M. Kawanabe, G. Rätsch, S. Sonnenburg, K. R. Müller, A New Discriminative Kernel from Probabilistic Models
Advances in Neural information processings systems, 14, 2002 [bibtex] [pdf] [ps]

K. Tsuda, M. Kawanabe, The leave-one-out kernel
Artificial Neural Networks - ICANN 2002, 2002 [bibtex]

R. Vigário, A. Ziehe, K. R. Müller, J. Särelä, E. Oja, V. Jousmäki, G. Wübbeler, L. Trahms, B. Mackert, G. Curio, Blind decomposition of multimodal and DC evoked responses, ISBN 0-262-19481-3
Advances in Exploratory analysis and data modeling in functional neuroimaging, MIT Press, Cambridge MA., 2002 [bibtex]

M. Warmuth, G. Rätsch, M. Mathieson, J. Liao, C. Lemmen, Active Learning in the Drug Discovery Process
Advances in Neural Information Processings Systems, 14:1449-1456, 2002 [bibtex]

Technical reports

S. Harmeling, A. Ziehe, M. Kawanabe, K. R. Müller, Kernel-based Nonlinear Blind Source Separation
BLISS project, 2002 [bibtex]

V. Roth, J. Laub, M. Kawanabe, J. Buhmann, Optimal Cluster Preserving Embedding of Non-Metric Proximity Data
University of Bonn, 2002 [bibtex]

PhD theses

S. Mika, Kernel Fisher Discriminants
University of Technology, Berlin, 2002 [bibtex] [pdf]

2001

Journal papers

K. R. Müller, S. Mika, G. Rätsch, K. Tsuda, B. Schölkopf, An Introduction to Kernel-based Learning Algorithms
IEEE Neural Networks, 12(2):181-201, 2001 [bibtex]

N. Murata, S. Ikeda, A. Ziehe, An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals
Neurocomputing, 41(1-4):1-24, 2001 [bibtex]

G. Nolte, A. Ziehe, K. R. Müller, Noise robust estimates of correlation dimension and $K_2$ entropy, PACS: 02.50.-r, 05.45.Tp, 05.45.Ac
Phys.rev.E, 64(1):016112, 2001 [bibtex]

T. Onoda, G. Rätsch, K. R. Müller, An Arcing algorithm with an intuitive learning control parameter, in Japanese, a similar version in english appeared in Advances in Large Margin Classifiers
Journal of the Japanese Society for AI, 16(5C):417-426, 2001 [bibtex] [pdf]

G. Rätsch, A. Demiriz, K. Bennett, Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning special issue on "New Methods for Model Selection and Model Combination", 2001 [bibtex] [pdf]

G. Rätsch, T. Onoda, K. R. Müller, Soft Margins for AdaBoost
Machine Learning, Kluwer Academic Publishers, 42(3):287-320, 2001 [bibtex]

A. Smola, S. Mika, B. Schölkopf, R. Williamson, Regularized Principal Manifolds
Journal of Machine Learning Research, MIT Press, 1:179-209, 2001 [bibtex] [pdf]

Conference papers

S. Harmeling, A. Ziehe, M. Kawanabe, B. Blankertz, K. R. Müller, Nonlinear blind source separation using kernel feature spaces
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001 [bibtex] [pdf]

J. Kohlmorgen, S. Lemm, An On-line Method for Segmentation and Identification of Non-stationary Time Series
Neural Networks for Signal Processing XI, IEEE, 2001 [bibtex] [pdf]

F. C. Meinecke, A. Ziehe, M. Kawanabe, K. R. Müller, Assessing reliability of ICA projections - a resampling approach
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001 [bibtex] [pdf]

S. Mika, G. Rätsch, K. R. Müller, A mathematical programming approach to the Kernel Fisher algorithm
Advances in Neural Information Processing Systems, MIT Press, 13:591-597, 2001 [bibtex] [pdf]

S. Mika, A. Smola, B. Schölkopf, An Improved Training Algorithm for Kernel Fisher Discriminants
Proceedings AISTATS 2001, Morgan Kaufmann, 2001 [bibtex] [pdf]

H. Purwins, B. Blankertz, K. Obermayer, Constant Q Profiles for Tracking Modulations in Audio Data
International Computer Music Conference (Cuba), 2001 [bibtex] [pdf]

K. Tsuda, G. Rätsch, S. Mika, K. R. Müller, Learning To Predict the Leave-one-out Error of Kernel based classifiers
Proc. ICANN'01, 2001 [bibtex] [pdf]

A. Ziehe, G. Nolte, T. Sander, K. R. Müller, G. Curio, A comparison of ICA-based artifact reduction methods for MEG
Recent Advances in Biomagnetism, Proc. of the 12th International conference on Biomagnetism, Helsinki University of Technology, 2001 [bibtex] [pdf]

A. Ziehe, M. Kawanabe, S. Harmeling, K. R. Müller, Separation of post-nonlinear mixtures using ACE and temporal decorrelation
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001 [bibtex]

Technical reports

G. Rätsch, M. Warmuth, Marginal Boosting
Royal Holloway College, 2001 [bibtex] [pdf] [ps]

G. Rätsch, S. Mika, M. Warmuth, On the Convergence of Leveraging, Shorter version accepted at NIPS*01.
Royal Holloway College, 2001 [bibtex] [pdf] [ps]

PhD theses

G. Rätsch, Robust Boosting via Convex Optimization
University of Potsdam, 2001 [bibtex] [pdf]

2000

Books

S. Solla, T. Leen, K. R. Müller, Advances in Neural Information Processing System 12 (NIPS'99)
MIT Press, 2000 [bibtex]

Journal papers

J. Kohlmorgen, K. R. Müller, J. Rittweger, K. Pawelzik, Identification of Nonstationary Dynamics in Physiological Recordings, The original publication is available on LINK at http://link.springer.de.
Biological cybernetics, Springer, 83(1):73-84, 2000 [bibtex] [pdf]

S. Liehr, K. Pawelzik, J. Kohlmorgen, S. Lemm, K. R. Müller, Prediction of Financial Data with Hidden Markov Mixtures of Experts
Int. Journal of Theoretical and Applied Finance, World Scientific, 3(3):593, 2000 [bibtex]

T. Onoda, G. Rätsch, K. R. Müller, An asymptotical Analysis and Improvement of AdaBoost in the binary classification case, In japanese
Journal of the Japanese Society for AI, 15(2):287-296, 2000 [bibtex]

H. Purwins, B. Blankertz, K. Obermayer, Computing Auditory Perception
Organised Sound, 5(3):159-171, 2000 [bibtex] [pdf]

G. Wübbeler, A. Ziehe, B. Mackert, K. R. Müller, L. Trahms, G. Curio, Independent Component Analysis of Non-invasively Recorded Cortical Magnetic DC-fields in Humans
IEEE Transactions on Biomedical Engineering, 47(5):594-599, 2000 [bibtex]

A. Ziehe, K. R. Müller, G. Nolte, B. Mackert, G. Curio, Artifact reduction in magnetoneurography based on time-delayed second-order correlations
IEEE transactions on bio-medical engineering, 47(1):75-87, 2000 [bibtex]

A. Zien, G. Rätsch, S. Mika, B. Schölkopf, T. Lengauer, K. R. Müller, Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA
BioInformatics, 16(9):799-807, 2000 [bibtex] [pdf]

Book chapters

G. Rätsch, B. Schölkopf, A. Smola, S. Mika, T. Onoda, K. R. Müller, Robust Ensemble Learning, similarly appeared in the Journal of the Japanese Society of AI, 2001
Proc. of the NIPS*98 Workshop on Large Margin Classifiers: Advances in Large Margin Classifiers, MIT Press, 2000 [bibtex] [pdf]

Conference papers

J. Kohlmorgen, S. Lemm, G. Rätsch, K. R. Müller, Analysis of Nonstationary Time Series by Mixtures of Self-Organizing Predictors
Neural Networks for Signal Processing X, IEEE, 2000 [bibtex] [pdf]

K. R. Müller, J. Kohlmorgen, A. Ziehe, B. Blankertz, Decomposition Algorithms for Analysing Brain Signals
Adaptive Systems for Signal Processing, Communications and Control, 2000 [bibtex] [pdf] [url]

K. R. Müller, G. Rätsch, J. Kohlmorgen, A. Smola, B. Schölkpf, V. Vladimir, Time series prediction using support vector regression and neural networks
2nd International Sympsium on Frontiers of Time Series Modelling: Nonparametric Approach to Knowledge Diescovery, Instiute of mathematical statistics publication, 2000 [bibtex]

S. Mika, G. Rätsch, J. Weston, B. Schölkopf, A. Smola, K. R. Müller, Invariant Feature Extraction and Classification in Kernel Spaces
Proc. NIPS 12, MIT Press, 2000 [bibtex] [pdf]

T. Onoda, G. Rätsch, K. R. Müller, A Non-Intrusive Monitoring System for Household Electric Appliances with Inverters
Proc. of NC'2000, 2000 [bibtex] [pdf]

L. Parra, C. Spence, P. Sajda, A. Ziehe, K. R. Müller, Unmixing Hyperspectral Data
Advances in Neural Information Processing Systems, MIT Press, 12:942-948, 2000 [bibtex]

H. Purwins, B. Blankertz, K. Obermayer, Modelle der Musikwahrnehmung zwischen auditorischer Neurophysiologie und Psychoakustik
KlangForschung '99, Pfau-Verlag, 2000 [bibtex] [pdf]

G. Rätsch, B. Schölkopf, A. Smola, K. R. Müller, T. Onoda, S. Mika, $u $-Arc: Ensemble Learning in the Presence of Outliers
Proc. NIPS 12, MIT Press, 2000 [bibtex] [pdf]

G. Rätsch, M. Warmuth, S. Mika, T. Onoda, S. Lemm, K. R. Müller, Barrier Boosting
Proc. COLT'00, Morgan Kaufmann, 2000 [bibtex] [pdf]

G. Rätsch, B. Schölkopf, A. Smola, S. Mika, T. Onoda, K. R. Müller, Robust Ensemble Learning for Data Mining, This is a short version of iteRaeSchSmoMikOnoMue00
Proceedings of PAKDD'2000, Lecture Notes in Artificial Intelligence, Springer, 2000 [bibtex] [pdf]

A. Ziehe, G. Nolte, G. Curio, K. R. Müller, OFI: Optimal filtering algorithms for Source Separation
ICA 2000, 2000 [bibtex]

Technical reports

S. Mika, A. Smola, B. Schölkopf, An Improved Training Algorithm for Kernel Fisher Discriminants, see also above, AISTATS 2001
Microsoft Research, 2000 [bibtex]

T. Onoda, G. Rätsch, Trends in Boosting Research and Applications
Central Research Institute of the Electric Power Industry, 2000 [bibtex]

G. Rätsch, B. Schölkopf, S. Mika, K. R. Müller, SVM and Boosting: One Class
GMD FIRST, 2000 [bibtex] [pdf]

G. Rätsch, A. Demiriz, K. Bennett, Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces, accepted for publication in the Machine Learning journal special issue on "New Methods for Model Selection and Model Combination"
Royal Holloway College, 2000 [bibtex] [pdf]

1999

Journal papers

S. Liehr, K. Pawelzik, J. Kohlmorgen, K. R. Müller, Hidden Markov Mixtures of Experts with an Application to EEG Recordings from Sleep
Theory in Biosciences, 118(3-4):246-260, 1999 [bibtex] [pdf]

B. Schölkopf, S. Mika, C. Burges, P. Knirsch, K. R. Müller, G. Rätsch, A. Smola, Input Space vs. Feature Space in Kernel-Based Methods
IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, 10(5):1000-1017, 1999 [bibtex] [pdf]

Conference papers

T. Graepel, R. Herbrich, B. Schölkopf, A. Smola, P. Bartlett, K. R. Müller, K. Obermayer, R. Williamson, Classification on Proximity Data with LP-Machines
Proceedings of ICANN'99, IEE Press, 1:304-309, 1999 [bibtex]

J. Kohlmorgen, S. Lemm, K. R. Müller, S. Liehr, K. Pawelzik, Fast Change Point Detection in Switching Dynamics using a Hidden Markov Model of Prediction Experts
Artificial Neural Networks - ICANN '99, IEE, 1999 [bibtex] [pdf]

S. Liehr, K. Pawelzik, J. Kohlmorgen, S. Lemm, K. R. Müller, Hidden Markov Mixtures of Experts for Prediction of Non-Stationary Dynamics
Neural Networks for Signal Processing IX, 1999 [bibtex] [pdf]

S. Liehr, K. Pawelzik, J. Kohlmorgen, S. Lemm, K. R. Müller, Hidden Markov Gating for Prediction of Change Points in Switching Dynamical Systems
ESANN '99: Proc. of the European Symposium on Artificial Neural Networks, D-Facto, 1999 [bibtex] [pdf]

K. R. Müller, P. Philips, A. Ziehe, $JADE_TD$: Combining higher-order statistics and temporal information for blind source separation (with noise)
ICA '99, 1999 [bibtex]

S. Mika, B. Schölkopf, A. Smola, K. R. Müller, M. Scholz, G. Rätsch, Kernel PCA and De-Noising in Feature Spaces
Advances in Neural Inf. Proc. Systems (NIPS 98), MIT Press, 1999 [bibtex] [pdf]

S. Mika, G. Rätsch, J. Weston, B. Schölkopf, K. R. Müller, Fisher Discriminant Analysis with Kernels
Neural Networks for Signal Processing IX, IEEE, 1999 [bibtex] [pdf]

G. Rätsch, T. Onoda, K. R. Müller, Regularizing AdaBoost
Proc. NIPS 11, MIT Press, 1999 [bibtex] [pdf]

A. Smola, R. Williamson, S. Mika, B. Schölkopf, Regularized Principal Manifolds
Proceedings of EuroCOLT 99), Springer, LNAI, 1572:214-229, 1999 [bibtex]

A. Smola, B. Schölkopf, G. Rätsch, Linear Programs for Automatic Accuracy Control in Regression
Proc. ICANN'99, Springer, 1999 [bibtex] [pdf]

A. Ziehe, K. R. Müller, G. Nolte, B. Mackert, G. Curio, Artifact removal in magneto-neurographic recordings with ICA using temporal information
Recent Advances in Biomagnetism, Proc. of the 11th international conference on Biomagnetism, Tohoku University press, 1999 [bibtex]

A. Zien, G. Rätsch, S. Mika, C. L. B. Schölkopf, A. Smola, T. Lengauer, K. R. Mueller, Engineering Support Vector Machine Kernel That Recognize Translation Initiation Sites in DNA
Proceedings GCB'99, 1999 [bibtex] [pdf]

1998

Books

J. Kohlmorgen, Analyse schaltender und driftender Dynamik mit neuronalen Netzen, PhD Thesis (in German)
GMD, ISBN 3-88457-346-2, GMD Research Series 22/1998, 1998 [bibtex] [pdf]

G. Orr, K. R. Müller, (Eds.), Neural Networks: Tricks of the Trade
Springer Heidelberg, LNCS, 1998 [bibtex]

Journal papers

J. Kohlmorgen, K. R. Müller, Data Set A is a Pattern Matching Problem
Neural Processing Letters, Kluwer Academic Publishers, 7(1):43-47, 1998 [bibtex] [pdf]

B. Schölkopf, A. Smola, K. R. Müller, Nonlinear component analysis as a kernel eigenvalue problem
Neural computation, 10(5):1299-1319, 1998 [bibtex]

Book chapters

T. Hies, A. Ziehe, U. Eysholdt, K. R. Müller, Independent Component Analysis (ICA) von mehrkanaligen EEG-Daten mittels temporaler Dekorrelation, ISBN 3-925218-63-7
Medizinische Physik '98, Deutsche Gesellschaft für medizinische Physik, 1998 [bibtex]

K. R. Müller, A. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik, Using Support Vector Machines for Time Series Prediction
Advances in Kernel Methods - Support Vector Learning, Proc. of the NIPS Workshop on Support Vectors, MIT Press, 1998 [bibtex] [pdf]

K. R. Müller, N. Murata, A. Ziehe, S. Amari, On-line learning in Switching and Drifting environments with application to blind source separation
Cambridge University Press, On-line learning in neural networks, 1998 [bibtex]

Conference papers

J. Kohlmorgen, K. R. Müller, K. Pawelzik, Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
Advances in Neural Information Processing Systems 10, MIT Press, 1998 [bibtex] [pdf]

T. Lee, A. Ziehe, R. Orglmeister, T. Sejnowski, Combining Time-Delayed Decorrelation and ICA: Towards Solving the Cocktail Party Problem
Proc. ICASSP98, 2:1249-1252, 1998 [bibtex]

T. Onoda, G. Rätsch, K. R. Müller, An asymptotic analysis of AdaBoost in the binary classification case
Proc. ICANN'98, 1998 [bibtex] [pdf]

G. Rätsch, T. Onoda, K. R. Müller, An improvement of AdaBoost to avoid overfitting
Proc. ICONIP, 1998 [bibtex] [pdf]

B. Schölkopf, S. Mika, A. Smola, G. Rätsch, K. R. Müller, Kernel PCA Pattern Reconstruction mphvia Approximate Pre-Images
Proceedings of the 8th International Conference on Artificial Neural Networks, Springer Verlag, Perspectives in Neural Computing, 1998 [bibtex] [pdf]

A. Ziehe, K. R. Müller, TDSEP - an efficient algorithm for blind separation using time structure
Proceedings of the 8th International Conference on Artificial Neural Networks, ICANN'98, Springer Verlag, Perspectives in Neural Computing, 1998 [bibtex]

Technical reports

G. Rätsch, T. Onoda, K. R. Müller, Soft Margins for AdaBoost, to appear in Machine Learning
Royal Holloway College, 1998 [bibtex] [pdf]

A. Smola, S. Mika, B. Schölkopf, Quantization Functionals and Regularized Principal Manifolds
Royal Holloway College, 1998 [bibtex] [pdf]

A. Ziehe, K. R. Müller, G. Nolte, B. Mackert, G. Curio, Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations
GMD - German National Research Center for Information Technology, FIRST, GMD Report No. 31, 1998 [bibtex]

1997

Journal papers

S. Amari, N. Murata, K. R. Müller, M. Finke, H. Yang, Asymptotic Statistical Theory of Overtraining and Cross-Validation
IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, 8(5):985-996, 1997 [bibtex]

Conference papers

J. Kohlmorgen, K. R. Müller, K. Pawelzik, Segmentation and Identification of Drifting Dynamical Systems
Neural Networks for Signal Processing VII, IEEE, 1997 [bibtex] [pdf]

J. Kohlmorgen, K. R. Müller, J. Rittweger, K. Pawelzik, Analysis of Wake/Sleep EEG with Competing Experts
Artificial Neural Networks - ICANN '97, Springer, 1997 [bibtex] [pdf]

K. R. Müller, A. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik, Predicting Time Series with Support Vector Machines
Artificial Neural Networks - ICANN '97, Springer, LNCS, 1327:999-1004, 1997 [bibtex] [pdf]

Technical reports

K. Pawelzik, K. R. Müller, J. Kohlmorgen, Divisive Strategies for Predicting Non-Autonomous and Mixed Systems
GMD, 1997 [bibtex] [pdf]

1996

Journal papers

K. Pawelzik, J. Kohlmorgen, K. R. Müller, Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
Neural Computation, 8:340-356, 1996 [bibtex] [pdf]

Conference papers

J. Kohlmorgen, K. R. Müller, K. Pawelzik, Analysis of Drifting Dynamics with Competing Predictors
Artificial Neural Networks - ICANN '96, Springer, 1996 [bibtex] [pdf]

K. Pawelzik, K. R. Müller, J. Kohlmorgen, Prediction of Mixtures
Artificial Neural Networks - ICANN '96, Springer, 1996 [bibtex] [pdf]

1995

Journal papers

K. R. Müller, J. Kohlmorgen, K. Pawelzik, Analysis of Switching Dynamics with Competing Neural Networks
IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, E78-A(10):1306-1315, 1995 [bibtex] [pdf]

Conference papers

J. Kohlmorgen, K. R. Müller, K. Pawelzik, Improving Short-Term Prediction with Competing Experts
Artificial Neural Networks - ICANN '95, EC2, 2:215-220, 1995 [bibtex] [pdf]

K. R. Müller, J. Kohlmorgen, J. Rittweger, K. Pawelzik, Analysing Physiological Data from the Wake-Sleep State Transition with Competing Predictors
NOLTA '95: Las Vegas Symposium on Nonlinear Theory and its Applications, 1995 [bibtex] [pdf]

1994

Conference papers

J. Kohlmorgen, K. R. Müller, K. Pawelzik, Competing Predictors Segment and Identify Switching Dynamics
Artificial Neural Networks - ICANN '94, Springer, 1994 [bibtex] [pdf]

K. R. Müller, J. Kohlmorgen, K. Pawelzik, The Use of Competing Neural Networks for Segmentation and Identification of Switching Dynamics
NOLTA '94: Kagoshima Symposium on Nonlinear Theory and its Applications, 1994 [bibtex]

K. R. Müller, J. Kohlmorgen, K. Pawelzik, Segmentation and Identification of Switching Dynamics with Competing Neural Networks
ICONIP '94: Proc. of the Int. Conf. on Neural Information Processing, 1994 [bibtex]