Klaus-Robert Müller

According to our database1, Klaus-Robert Müller authored at least 291 papers between 1994 and 2019.

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2019
N-ary decomposition for multi-class classification.
Machine Learning, 2019

iNNvestigate Neural Networks!
Journal of Machine Learning Research, 2019

Classification of structured validation data using stateless and stateful features.
Computer Communications, 2019

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Transductive Regression for Data With Latent Dependence Structure.
IEEE Trans. Neural Netw. Learning Syst., 2018

Support Vector Data Descriptions and k-Means Clustering: One Class?
IEEE Trans. Neural Netw. Learning Syst., 2018

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment.
IEEE Trans. Image Processing, 2018

Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition.
IEEE Trans. Circuits Syst. Video Techn., 2018

Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses.
Sensors, 2018

Wasserstein Stationary Subspace Analysis.
J. Sel. Topics Signal Processing, 2018

Methods for interpreting and understanding deep neural networks.
Digital Signal Processing, 2018

Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier].
IEEE Comp. Int. Mag., 2018

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning how to explain neural networks: PatternNet and PatternAttribution.
Proceedings of the 6th International Conference on Learning Representations, 2018

How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Evaluating the Visualization of What a Deep Neural Network Has Learned.
IEEE Trans. Neural Netw. Learning Syst., 2017

Efficient Exact Inference With Loss Augmented Objective in Structured Learning.
IEEE Trans. Neural Netw. Learning Syst., 2017

Accurate Maximum-Margin Training for Parsing With Context-Free Grammars.
IEEE Trans. Neural Netw. Learning Syst., 2017

M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring.
IEEE Trans. Biomed. Engineering, 2017

Explaining nonlinear classification decisions with deep Taylor decomposition.
Pattern Recognition, 2017

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels.
Journal of Machine Learning Research, 2017

Porosity estimation by semi-supervised learning with sparsely available labeled samples.
Computers & Geosciences, 2017

Explaining Recurrent Neural Network Predictions in Sentiment Analysis.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

An Empirical Study on The Properties of Random Bases for Kernel Methods.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reinforcement learning for video encoder control in HEVC.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2017

Minimizing Trust Leaks for Robust Sybil Detection.
Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding and Comparing Deep Neural Networks for Age and Gender Classification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Interpretable human action recognition in compressed domain.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli.
Proceedings of the From Vision to Reality, 2017

Headgear for Mobile Neurotechnology: looking into Alternatives for EEG and NIRS probes.
Proceedings of the From Vision to Reality, 2017

The P300 BCI: on its Way to End-Users?
Proceedings of the From Vision to Reality, 2017

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

Object Boundary Detection and Classification with Image-Level Labels.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Hybrid EEG-NIRS brain-computer interface under eyes-closed condition.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016
Validity of Time Reversal for Testing Granger Causality.
IEEE Trans. Signal Processing, 2016

Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?
IEEE Signal Process. Lett., 2016

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis.
NeuroImage, 2016

Multiscale temporal neural dynamics predict performance in a complex sensorimotor task.
NeuroImage, 2016

Analyzing neuroimaging data with subclasses: A shrinkage approach.
NeuroImage, 2016

The LRP Toolbox for Artificial Neural Networks.
Journal of Machine Learning Research, 2016

Alternative CSP approaches for multimodal distributed BCI data.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Brain-Computer Interfacing for multimedia quality assessment.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Explaining Predictions of Non-Linear Classifiers in NLP.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Block adaptive selection of multiple core transforms for video coding.
Proceedings of the 2016 Picture Coding Symposium, 2016

Neural network-based full-reference image quality assessment.
Proceedings of the 2016 Picture Coding Symposium, 2016

Wasserstein Training of Restricted Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Controlling explanatory heatmap resolution and semantics via decomposition depth.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A better metric in kernel adaptive filtering.
Proceedings of the 24th European Signal Processing Conference, 2016

Identifying Individual Facial Expressions by Deconstructing a Neural Network.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Analyzing Classifiers: Fisher Vectors and Deep Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
The Plurality of Human Brain-Computer Interfacing [Scanning the Issue].
Proceedings of the IEEE, 2015

Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond.
Proceedings of the IEEE, 2015

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proceedings of the IEEE, 2015

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proceedings of the IEEE, 2015

Identifying Granger causal relationships between neural power dynamics and variables of interest.
NeuroImage, 2015

Extracting latent brain states - Towards true labels in cognitive neuroscience experiments.
NeuroImage, 2015

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

A kernel-based statistical analysis of the residual error in video coding.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Tackling noise, artifacts and nonstationarity in BCI with robust divergences.
Proceedings of the 23rd European Signal Processing Conference, 2015

On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Investigating effects of different artefact types on motor imagery BCI.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Machine Learning for Visual Concept Recognition and Ranking for Images.
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs.
IEEE Trans. Neural Netw. Learning Syst., 2014

Stereoscopic depth increases intersubject correlations of brain networks.
NeuroImage, 2014

Finding brain oscillations with power dependencies in neuroimaging data.
NeuroImage, 2014

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014

The effect of linear mixing in the EEG on Hurst exponent estimation.
NeuroImage, 2014

Robust Common Spatial Filters with a Maxmin Approach.
Neural Computation, 2014

Mean shrinkage improves the classification of ERP signals by exploiting additional label information.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Data-driven multisubject neuroimaging analyses for naturalistic stimuli.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Covariance shrinkage for autocorrelated data.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Neurally informed assessment of perceived natural texture image quality.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Towards an enhanced ERP speller based on the visual processing of face familiarity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Covariate shift adaptation in EMG pattern recognition for prosthetic device control.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Learning and Evaluation in Presence of Non-i.i.d. Label Noise.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Integration of Multivariate Data Streams With Bandpower Signals.
IEEE Trans. Multimedia, 2013

Transferring Subspaces Between Subjects in Brain-Computer Interfacing.
IEEE Trans. Biomed. Engineering, 2013

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013

Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment.
IEEE Signal Process. Mag., 2013

A critical assessment of connectivity measures for EEG data: A simulation study.
NeuroImage, 2013

Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning.
JCSE, 2013

Enhanced representation and multi-task learning for image annotation.
Computer Vision and Image Understanding, 2013

Robust Spatial Filtering with Beta Divergence.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multiple Kernel Learning for Brain-Computer Interfacing.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Kernels, Pre-images and Optimization.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Tricks for Time Series.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Representing and Incorporating Prior Knowledge in Neural Network Training.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Improving Network Models and Algorithmic Tricks.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Regularization Techniques to Improve Generalization.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Speeding Learning.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Introduction.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Identifying Dynamical Systems for Forecasting and Control.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Deep Boltzmann Machines and the Centering Trick.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Better Representations: Invariant, Disentangled and Reusable.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Big Learning and Deep Neural Networks.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Efficient BackProp.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2012

Toward a Direct Measure of Video Quality Perception Using EEG.
IEEE Trans. Image Processing, 2012

Spatial Filtering for Robust Myoelectric Control.
IEEE Trans. Biomed. Engineering, 2012

Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight].
IEEE Signal Process. Mag., 2012

Enhanced performance by a hybrid NIRS-EEG brain computer interface.
NeuroImage, 2012

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions.
NeuroImage, 2012

Deep Boltzmann Machines as Feed-Forward Hierarchies.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Regression for sets of polynomial equations.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Algebraic Geometric Comparison of Probability Distributions.
Journal of Machine Learning Research, 2012

Modeling of molecular atomization energies using machine learning.
J. Cheminformatics, 2012

On Taxonomies for Multi-class Image Categorization.
International Journal of Computer Vision, 2012

Learning Invariant Representations of Molecules for Atomization Energy Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Simultaneous and proportional control of 2D wrist movements with myoelectric signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Quantifying spatiotemporal dynamics of twitter replies to news feeds.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Common Spatial Pattern Patches: Online evaluation on BCI-naive users.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Brain-computer interfacing in discriminative and stationary subspaces.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Uniqueness of Non-Gaussianity-Based Dimension Reduction.
IEEE Trans. Signal Processing, 2011

Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces.
IEEE Trans. Biomed. Engineering, 2011

Introduction to machine learning for brain imaging.
NeuroImage, 2011

Large-scale EEG/MEG source localization with spatial flexibility.
NeuroImage, 2011

1-penalized linear mixed-effects models for high dimensional data with application to BCI.
NeuroImage, 2011

Single-trial analysis and classification of ERP components - A tutorial.
NeuroImage, 2011

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces.
Neural Computation, 2011

The Stationary Subspace Analysis Toolbox.
Journal of Machine Learning Research, 2011

Kernel Analysis of Deep Networks.
Journal of Machine Learning Research, 2011

StructRank: A New Approach for Ligand-Based Virtual Screening.
Journal of Chemical Information and Modeling, 2011

Pitfalls in EEG-Based Brain Effective Connectivity Analysis.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A new scatter-based multi-class support vector machine.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

1-Penalized Linear Mixed-Effects Models for BCI.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Revealing the neural response to imperceptible peripheral flicker with machine learning.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG.
IEEE Trans. Biomed. Engineering, 2010

A regularized discriminative framework for EEG analysis with application to brain-computer interface.
NeuroImage, 2010

Neurophysiological predictor of SMR-based BCI performance.
NeuroImage, 2010

Temporal kernel CCA and its application in multimodal neuronal data analysis.
Machine Learning, 2010

Approximate Tree Kernels.
Journal of Machine Learning Research, 2010

Comparison of Granger Causality and Phase Slope Index.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Sparse Causal Discovery in Multivariate Time Series.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

How to Explain Individual Classification Decisions.
Journal of Machine Learning Research, 2010

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set.
Journal of Chemical Information and Modeling, 2010

Kernel learning for ligand-based virtual screening: discovery of a new PPARγ agonist.
J. Cheminformatics, 2010

Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience.
Front. Neuroinform., 2010

Layer-wise analysis of deep networks with Gaussian kernels.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization.
PLoS Computational Biology, 2009

Improving BCI performance by task-related trial pruning.
Neural Networks, 2009

Recent advances in brain-machine interfaces.
Neural Networks, 2009

Subject-independent mental state classification in single trials.
Neural Networks, 2009

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity.
Journal of Chemical Information and Modeling, 2009

Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces.
Int. J. Hum.-Comput. Stud., 2009

Securing IMS against novel threats.
Bell Labs Technical Journal, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Subject independent EEG-based BCI decoding.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Using Rest Class and Control Paradigms for Brain Computer Interfacing.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Stationary Subspace Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning invariances with Stationary Subspace Analysis.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
The Berlin Brain-Computer Interface: Accurate Performance From First-Session in BCI-NaÏve Subjects.
IEEE Trans. Biomed. Engineering, 2008

Combining sparsity and rotational invariance in EEG/MEG source reconstruction.
NeuroImage, 2008

On Relevant Dimensions in Kernel Feature Spaces.
Journal of Machine Learning Research, 2008

A Probabilistic Approach to Classifying Metabolic Stability.
Journal of Chemical Information and Modeling, 2008

Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.
IEICE Transactions, 2008

Brain-Computer Interfacing for Intelligent Systems.
IEEE Intelligent Systems, 2008

The Berlin Brain-Computer Interface.
Proceedings of the Computational Intelligence: Research Frontiers, 2008

Playing Pinball with non-invasive BCI.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Estimating vector fields using sparse basis field expansions.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Self-learning System for Detection of Anomalous SIP Messages.
Proceedings of the Principles, 2008

Stopping conditions for exact computation of leave-one-out error in support vector machines.
Proceedings of the Machine Learning, 2008

2007
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning.
PLoS Computational Biology, 2007

The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects.
NeuroImage, 2007

The Berlin Brain-Computer Interface (BBCI) - towards a new communication channel for online control in gaming applications.
Multimedia Tools Appl., 2007

Optimal dyadic decision trees.
Machine Learning, 2007

Covariate Shift Adaptation by Importance Weighted Cross Validation.
Journal of Machine Learning Research, 2007

The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.
Journal of Chemical Information and Modeling, 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
Journal of Computer-Aided Molecular Design, 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
Journal of Computer-Aided Molecular Design, 2007

Berlin Brain-Computer Interface - The HCI communication channel for discovery.
Int. J. Hum.-Comput. Stud., 2007

Heterogeneous Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Machine Learning for Intrusion Detection.
Proceedings of the Mining Massive Data Sets for Security, 2007

Asymptotic Bayesian generalization error when training and test distributions are different.
Proceedings of the Machine Learning, 2007

Machine Learning and Applications for Brain-Computer Interfacing.
Proceedings of the Human Interface and the Management of Information. Methods, 2007

A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface.
Proceedings of the Universal Access in Human-Computer Interaction. Ambient Interaction, 2007

2006
Enhancing the signal-to-noise ratio of ICA-based extracted ERPs.
IEEE Trans. Biomed. Engineering, 2006

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing.
IEEE Trans. Biomed. Engineering, 2006

On the information and representation of non-Euclidean pairwise data.
Pattern Recognition, 2006

Das Berliner Brain-Computer Interface.
KI, 2006

The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States.
J. UCS, 2006

Incremental Support Vector Learning: Analysis, Implementation and Applications.
Journal of Machine Learning Research, 2006

In Search of Non-Gaussian Components of a High-Dimensional Distribution.
Journal of Machine Learning Research, 2006

From outliers to prototypes: Ordering data.
Neurocomputing, 2006

Logistic Regression for Single Trial EEG Classification.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Inducing Metric Violations in Human Similarity Judgements.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Denoising and Dimension Reduction in Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Model Selection Method Based on Bound of Learning Coefficient.
Proceedings of the Artificial Neural Networks, 2006

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Optimizing Spectral Filters for Single Trial EEG Classification.
Proceedings of the Pattern Recognition, 2006

Importance-Weighted Cross-Validation for Covariate Shift.
Proceedings of the Pattern Recognition, 2006

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels.
Proceedings of the Pattern Recognition, 2006

2005
Spatio-spectral filters for improving the classification of single trial EEG.
IEEE Trans. Biomed. Engineering, 2005

Classifying 'Drug-likeness' with Kernel-Based Learning Methods.
Journal of Chemical Information and Modeling, 2005

Inlier-based ICA with an application to superimposed images.
Int. J. Imaging Systems and Technology, 2005

Visualization of anomaly detection using prediction sensitivity.
Proceedings of the Sicherheit 2005: Sicherheit, 2005

Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Optimizing spatio-temporal filters for improving Brain-Computer Interfacing.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Model Selection Under Covariate Shift.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Editorial.
IEEE Trans. Biomed. Engineering, 2004

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms.
IEEE Trans. Biomed. Engineering, 2004

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials.
IEEE Trans. Biomed. Engineering, 2004

Injecting noise for analysing the stability of ICA components.
Signal Processing, 2004

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines.
Praxis der Informationsverarbeitung und Kommunikation, 2004

Asymptotic Properties of the Fisher Kernel.
Neural Computation, 2004

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.
Neural Computation, 2004

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.
Journal of Machine Learning Research, 2004

Feature Discovery in Non-Metric Pairwise Data.
Journal of Machine Learning Research, 2004

Blind Source Separation Techniques for Decomposing Event-Related Brain Signals.
I. J. Bifurcation and Chaos, 2004

A Consistency-Based Model Selection for One-Class Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Approximate Joint Diagonalization Using a Natural Gradient Approach.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Robust ICA for Super-Gaussian Sources.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Estimating Functions for Blind Separation when Sources Have Variance-Dependencies.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Regularizing generalization error estimators: a novel approach to robust model selection.
Proceedings of the ESANN 2004, 2004

2003
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Kernel-Based Nonlinear Blind Source Separation.
Neural Computation, 2003

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
Journal of Machine Learning Research, 2003

Increase Information Transfer Rates in BCI by CSP Extension to Multi-class.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Feature Extraction for One-Class Classification.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors.
IEEE Trans. Neural Networks, 2002

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.
IEEE Trans. Biomed. Engineering, 2002

Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

On-line learning in changing environments with applications in supervised and unsupervised learning.
Neural Networks, 2002

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces.
Journal of Machine Learning Research, 2002

Clustering with the Fisher Score.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Going Metric: Denoising Pairwise Data.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Combining Features for BCI.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.
Proceedings of the Artificial Neural Networks, 2002

New Methods for Splice Site Recognition.
Proceedings of the Artificial Neural Networks, 2002

2001
An introduction to kernel-based learning algorithms.
IEEE Trans. Neural Networks, 2001

Soft Margins for AdaBoost.
Machine Learning, 2001

A New Discriminative Kernel From Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Estimating the Reliability of ICA Projections.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Kernel Feature Spaces and Nonlinear Blind Souce Separation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Classifying Single Trial EEG: Towards Brain Computer Interfacing.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.
Proceedings of the Artificial Neural Networks, 2001

2000
Artifact reduction in magnetoneurography based on time-delayed second-order correlations.
IEEE Trans. Biomed. Engineering, 2000

Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans.
IEEE Trans. Biomed. Engineering, 2000

Engineering support vector machine kernels that recognize translation initiation sites.
Bioinformatics, 2000

Identification of nonstationary dynamics in physiological recordings.
Biological Cybernetics, 2000

Robust Ensemble Learning for Data Mining.
Proceedings of the Knowledge Discovery and Data Mining, 2000

A Mathematical Programming Approach to the Kernel Fisher Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Barrier Boosting.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999
Input space versus feature space in kernel-based methods.
IEEE Trans. Neural Networks, 1999

Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten.
Inform., Forsch. Entwickl., 1999

v-Arc: Ensemble Learning in the Presence of Outliers.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Unmixing Hyperspectral Data.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Invariant Feature Extraction and Classification in Kernel Spaces.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.
German Conference on Bioinformatics, 1999

Hidden Markov gating for prediction of change points in switching dynamical systems.
Proceedings of the ESANN 1999, 1999

1998
Data Set A is a Pattern Matching Problem.
Neural Processing Letters, 1998

The connection between regularization operators and support vector kernels.
Neural Networks, 1998

Nonlinear Component Analysis as a Kernel Eigenvalue Problem.
Neural Computation, 1998

Regularizing AdaBoost.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Kernel PCA and De-Noising in Feature Spaces.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

An Improvement of AdaBoost to Avoid Overfitting.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Asymptotic statistical theory of overtraining and cross-validation.
IEEE Trans. Neural Networks, 1997

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Kernel Principal Component Analysis.
Proceedings of the Artificial Neural Networks, 1997

Predicting Time Series with Support Vector Machines.
Proceedings of the Artificial Neural Networks, 1997

Analysis of Wake/Sleep EEG with Competing Experts.
Proceedings of the Artificial Neural Networks, 1997

1996
Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics.
Neural Computation, 1996

A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks.
Neural Computation, 1996

Tricks for Time Series: Preface.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Representing and Incorporating Prior Knowledge in Neural Network Training: Preface.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Improving Network Models and Algorithmic Tricks: Preface.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Regularization Techniques to Improve Generalization: Preface.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Speeding Learning: Preface.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Introduction.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Adaptive On-line Learning in Changing Environments.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Effiicient BackProp.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Prediction of Mixtures.
Proceedings of the Artificial Neural Networks, 1996

Analysis of Drifting Dynamics with Competing Predictors.
Proceedings of the Artificial Neural Networks, 1996

1995
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Spärlich verbundene neuronale Netze und ihre Anwendung.
PhD thesis, 1994


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