Prof. Dr. Klaus-Robert Müller - Publications
2023
Journal papers
, Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
Neural Networks, 167:233-243, 2023
[bibtex]
, Polynomial-Time Constrained Message Passing for Exact MAP Inference on Discrete Models with Global Dependencies
Mathematics, 11(12), 2023
[bibtex] [url]
, Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence
Journal of Chemical Theory and Computation, 19(14):4619–4630, 2023
[bibtex]
, Single-cell gene regulatory network prediction by explainable AI
Nucleic Acids Research, Oxford University Press (OUP), 2023
[bibtex] [url]
, Automatic identification of chemical moieties
Physical Chemistry Chemical Physics, Royal Society of Chemistry, 2023
[bibtex]
, Towards transparent and robust data-driven wind turbine power curve models
2023
[bibtex]
, Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
2023
[bibtex]
, Set Learning for Accurate and Calibrated Models
2023
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Conference papers
, Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
CVPR, IEEE, 2023
[bibtex]
, Relevant Walk Search for Explaining Graph Neural Networks
International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, PMLR, Proceedings of Machine Learning Research, 202:38301-38324, 2023
[bibtex] [url]
2022
Journal papers
, Finding and removing Clever Hans: Using explanation methods to debug and improve deep models
Inf. Fusion, 77:261-295, 2022
[bibtex] [url]
, Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
arXiv, 2022
[bibtex] [url]
, Towards robust explanations for deep neural networks
Pattern Recognition, Elsevier, 121:108194, 2022
[bibtex]
, Inverse design of 3d molecular structures with conditional generative neural networks
Nature Communications, 13(1):973, 2022
[bibtex] [url]
, Patient-level proteomic network prediction by explainable artificial intelligence
npj Precision Oncology, Springer Science and Business Media LLC, 6(1):35, 2022
[bibtex] [url]
, Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective
IEEE Signal Processing Magazine, 39(4):40-58, 2022
[bibtex]
, Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images,
Transactions on Machine Learning Research, 2022
[bibtex] [url]
, BIGDML-Towards accurate quantum machine learning force fields for materials
Nature Communications, 13(1):3733, 2022
[bibtex] [url]
, Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields
The Journal of Physical Chemistry Letters, 13(43):10183-10189, 2022
[bibtex] [url]
, Higher-Order Explanations of Graph Neural Networks via Relevant Walks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):7581-7596, 2022
[bibtex]
, High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks
Machine Learning: Science and Technology, 3(2):025011, 2022
[bibtex] [url]
Conference papers
, XAI for Transformers: Better Explanations through Conservative Propagation
Proceedings of the 39th International Conference on Machine Learning, PMLR, Proceedings of Machine Learning Research, 162:435-451, 2022
[bibtex]
, Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Proceedings of the 39th International Conference on Machine Learning, PMLR, Proceedings of Machine Learning Research, 162:24478-24495, 2022
[bibtex]
2021
Journal papers
, Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
CoRR, abs/2106.13200, 2021
[bibtex] [url]
, Forecasting industrial aging processes with machine learning methods
Computers & Chemical Engineering, Elsevier, 144:107123, 2021
[bibtex]
, Machine learning of solvent effects on molecular spectra and reactions
Chemical science, Royal Society of Chemistry, 12(34):11473-11483, 2021
[bibtex]
, Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework
NeuroImage, 239:118309, 2021
[bibtex]
, Automatic Identification of Types of Alterations in Historical Manuscripts
Digital Humanities Quarterly, 15(2), 2021
[bibtex] [url]
, Machine Learning Models Predict the Primary Sites of Head and Neck Squamous Cell Carcinoma Metastases Based on DNA Methylation
The Journal of pathology, Wiley Online Library, 2021
[bibtex]
, A Unifying Review of Deep and Shallow Anomaly Detection
Proceedings of the IEEE, 109(5):756-795, 2021
[bibtex]
, Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Proc. IEEE, 109(3):247-278, 2021
[bibtex]
, Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature
Nature Communications, 12(1):442, 2021
[bibtex] [url]
, Robustifying Models Against Adversarial Attacks by Langevin Dynamics
Neural Networks, 137:1-17, 2021
[bibtex]
, Machine Learning Force Fields
Chemical Reviews, 121(16):10142-10186, 2021
[bibtex] [url]
, SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects
Nature Communications, 12(1):7273, 2021
[bibtex] [url]
, Pruning by explaining: A novel criterion for deep neural network pruning
Pattern Recognition, Elsevier, 115:107899, 2021
[bibtex]
Conference papers
, Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
[bibtex] [url]
, Explainable Deep One-Class Classification
International Conference on Learning Representations, 2021
[bibtex] [url]
2020
Journal papers
, Optimizing for Measure of Performance in Max-Margin Parsing
IEEE Transactions on Neural Networks and Learning Systems, 31(7):2680-2684, 2020
[bibtex]
, Quantum chemical accuracy from density functional approximations via machine learning
Nature communications, Nature Publishing Group, 11(1):1-11, 2020
[bibtex]
, Building and Interpreting Deep Similarity Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, ():1-1, 2020
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, Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Scientific reports, Nature Publishing Group, 10(1):1-12, 2020
[bibtex]
, Towards explaining anomalies: A deep Taylor decomposition of one-class models
Pattern Recognition, 101:107198, 2020
[bibtex] [url]
, The Clever Hans Effect in Anomaly Detection
CoRR, abs/2006.10609, 2020
[bibtex]
, Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis
NeuroImage, 208:116472, 2020
[bibtex] [url]
, Asymptotically Unbiased Estimation of Physical Observables with Neural Samplers
Physical Review E, 101(023304), 2020
[bibtex]
, Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields
The Journal of Chemical Physics, 153(12):124109, 2020
[bibtex] [url]
Book chapters
, Interpretable deep neural network to predict estrogen receptor status from haematoxylin-eosin images
Artificial Intelligence and Machine Learning for Digital Pathology, Springer, 2020
[bibtex]
Conference papers
, Fairwashing explanations with off-manifold detergent
Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, PMLR, Proceedings of Machine Learning Research, 119:314-323, 2020
[bibtex] [url]
, Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging
Thirty-Forth Conference on Neural Information Processing Systems (NeurIPS), Medical Imaging meets NeurIPS (Med-NeurIPS) Workshop, 2020
[bibtex] [url]
, Electromagnetic Brain Imaging using Sparse Bayesian Learning – Noise Learning and Model Selection
The Organization for Human Brain Mapping (OHBM), 2020
[bibtex]
, Benign Examples: Imperceptible changes can enhance image translation performance
Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), 2020
[bibtex]
2019
Books
, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
Springer, Lecture Notes in Computer Science, 11700, 2019
[bibtex]
Journal papers
, iNNvestigate neural networks!
Journal of Machine Learning Research, 20(93):1-8, 2019
[bibtex] [url]
, Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network
Digital Signal Processing, 91:54-65, 2019
[bibtex] [url]
, sGDML: Constructing accurate and data efficient molecular force fields using machine learning
Computer Physics Communications, 240:38-45, 2019
[bibtex] [url]
, Explanations can be manipulated and geometry is to blame
Advances in Neural Information Processing Systems 32, 2019
[bibtex]
, Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
CoRR, abs/1908.06943, 2019
[bibtex] [pdf]
, Automating the search for a patent's prior art with a full text similarity search
PLoS ONE, Public Library of Science, 14(3):e0212103, 2019
[bibtex] [pdf] [url]
, Explaining the unique nature of individual gait patterns with deep learning
Scientific Reports, 9(1):2391, 2019
[bibtex] [url]
, Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases
Science Translational Medicine, 11(509), 2019
[bibtex] [url]
, From Clustering to Cluster Explanations via Neural Networks
CoRR, abs/1906.07633, 2019
[bibtex] [pdf] [url]
, A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy
NeuroImage, 200:72-88, 2019
[bibtex] [url]
, A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy
NeuroImage, 200:72-88, 2019
[bibtex] [url]
, Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Nature Communications, 10:1096, 2019
[bibtex] [url]
, Comment on" Solving Statistical Mechanics Using VANs": Introducing saVANt-VANs Enhanced by Importance and MCMC Sampling
arXiv preprint arXiv:1903.11048, 2019
[bibtex]
, Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling
CoRR, abs/1903.11048, 2019
[bibtex] [pdf] [url]
, Deep Semi-Supervised Anomaly Detection
CoRR, abs/1906.02694, 2019
[bibtex] [pdf] [url]
, Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
CoRR, abs/1910.01991, 2019
[bibtex] [pdf] [url]
, Robust and Communication-Efficient Federated Learning from Non-IID Data
CoRR, abs/1903.02891, 2019
[bibtex] [pdf] [url]
, Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights
CoRR, abs/1909.08565, 2019
[bibtex] [pdf]
, Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces
The Journal of Chemical Physics, 150(11), 2019
[bibtex] [url]
, Unifying machine learning and quantum chemistry - a deep neural network for molecular wavefunctions
CoRR, abs/1906.10033, 2019
[bibtex] [pdf] [url]
, SchNetPack: A Deep Learning Toolbox For Atomistic Systems
Journal of chemical theory and computation, ACS Publications, 15(1):448-455, 2019
[bibtex]
, Classification of structured validation data using stateless and stateful features
Computer Communications, 138:54-66, 2019
[bibtex] [url]
, Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution
CoRR, abs/1904.05586, 2019
[bibtex] [pdf] [url]
, Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation
NeuroImage, 199:375-386, 2019
[bibtex] [url]
, Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets
NeuroImage, 201, 2019
[bibtex] [url]
, Compact and Computationally Efficient Representation of Deep Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2019
[bibtex] [url]
, N-ary decomposition for multi-class classification
Machine Learning, 108(5):809-830, 2019
[bibtex] [url]
Book chapters
, Understanding Patch-Based Learning of Video Data by Explaining Predictions
Springer International Publishing, 2019
[bibtex] [url]
, Explaining and Interpreting LSTMs
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Lecture Notes in Computer Science, 11700:211-238, 2019
[bibtex] [url]
, Layer-Wise Relevance Propagation: An Overview
Springer International Publishing, 2019
[bibtex] [url]
, Towards Explainable Artificial Intelligence
Springer International Publishing, 2019
[bibtex] [url]
, Quantum-Chemical Insights from Interpretable Atomistic Neural Networks
Springer International Publishing, 2019
[bibtex] [url]
Conference papers
, Evaluating Recurrent Neural Network Explanations
Proceedings of the ACL'19 Workshop on BlackboxNLP, Association for Computational Linguistics, 2019
[bibtex]
, Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS2019), 38, 2019
[bibtex]
, Deep Brain Source Imaging: An LSTM-inspired Approach for EEG Source Localization based on Sparse Bayesian Learning
Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2019
[bibtex]
, Explainable Deep Learning for Analysing Brain Data
2019 7th International Winter Conference on Brain-Computer Interface (BCI), 2019
[bibtex] [url]
, Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, 2019
[bibtex] [url]
, Defense Against Adversarial Attacks by Langevin Dynamics
2019
[bibtex] [url]
, Robustifying Models Against Adversarial Attacks by Langevin Dynamics
ICML Workshop on Uncertainty & Robustness in Deep Learning, 2019
[bibtex]
, Black-Box Decision based Adversarial Attack with Symmetric Alpha-stable Distribution
Proceedings of the European Signal Processing Conference (EUSIPCO2019), 2019
[bibtex]
, Rotation Invariant Clustering of 3D Cell Nuclei Shapes*
41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2019
[bibtex] [url]
2018
Journal papers
, Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
IEEE Trans. Image Processing, 27(1):206-219, 2018
[bibtex] [url]
, Towards exact molecular dynamics simulations with machine-learned force fields
Nature Communications, 9(1):3887, 2018
[bibtex] [url]
, Support Vector Data Descriptions and K-means Clustering: One Class?
IEEE Transactions on Neural Networks and Learning Systems, 29(9):3994-4006, 2018
[bibtex]
, Transductive Regression for Data with Latent Dependency Structure
IEEE Transactions on Neural Networks and Learning Systems, 29(7):2743-2756, 2018
[bibtex]
, Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers
Genome Medicine, 10(1):83, 2018
[bibtex] [url]
, Predicting Pairwise Relations with Neural Similarity Encoders
Bulletin of the Polish Academy of Sciences: Technical Sciences, Polish Academy of Sciences, 66(6):821-830, 2018
[bibtex] [pdf]
, Wasserstein Stationary Subspace Analysis
IEEE Journal of Selected Topics in Signal Processing, 12(6):1213-1223, 2018
[bibtex]
, Unsupervised Detection and Explanation of Latent-class Contextual Anomalies
CoRR, abs/1806.11326, 2018
[bibtex] [url]
, Methods for interpreting and understanding deep neural networks
Digital Signal Processing, 73:1-15, 2018
[bibtex] [url]
, Sharing hash codes for multiple purposes
Japanese Journal of Statistics and Data Science, Springer, 1(1):215-246, 2018
[bibtex]
, Sharing Hash Codes for Multiple Purposes
Japanese Journal of Statistics and Data Science, 1(1):215-246, 2018
[bibtex]
, SchNet-A deep learning architecture for molecules and materials
The Journal of Chemical Physics, AIP Publishing, 148(24):241722, 2018
[bibtex]
, Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset
Scientific Data, 5(180003), 2018
[bibtex]
, Entropy-Constrained Training of Deep Neural Networks
2018
[bibtex] [pdf] [url]
Conference papers
, Learning how to explain neural networks: PatternNet and PatternAttribution
6th International Conference on Learning Representations, 2018
[bibtex] [pdf]
, Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
Seminars in cancer biology, 52:151-157, 2018
[bibtex]
2017
Journal papers
, "What is relevant in a text document?": An interpretable machine learning approach
PLOS ONE, Public Library of Science (PLoS), 12(8):e0181142, 2017
[bibtex] [url]
, Accurate Maximum-Margin Training for Parsing With Context-Free Grammars
IEEE Trans. Neural Netw. Learning Syst., 28(1):44-56, 2017
[bibtex] [url]
, Efficient Exact Inference with Loss Augmented Objective in Structured Learning
IEEE Transactions on Neural Networks and Learning Systems, 28(11):2566-2579, 2017
[bibtex]
, Assessing perceived image quality using steady-state visual evoked potentials and spatio-spectral decomposition
IEEE Transactions on Circuits and Systems for Video Technology, IEEE, 2017
[bibtex]
, Machine learning of accurate energy-conserving molecular force fields
Science Advances, American Association for the Advancement of Science, 3(5):e1603015, 2017
[bibtex] [pdf] [url]
, M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring, Publisher: IEEE
IEEE Transactions on Biomedical Engineering, 64(6):1199-1210, 2017
[bibtex] [url]
, M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring
IEEE Transactions on Biomedical Engineering, IEEE, 64(6):1199-1210, 2017
[bibtex] [url]
, Porosity estimation by semi-supervised learning with sparsely available labeled samples
Computers & Geosciences, 106:33-48, 2017
[bibtex] [url]
, Porosity Estimation by Semi-supervised Learning with Sparsely Available Labeled Samples
Computers and Geosciences, 106:33-48, 2017
[bibtex]
, An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels
Journal of Machine Learning Research, 18:94:1-94:38, 2017
[bibtex] [url]
, Explaining nonlinear classification decisions with deep Taylor decomposition
Pattern Recognition, 65:211 - 222, 2017
[bibtex] [url]
, Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
CoRR, abs/1708.08296, 2017
[bibtex] [url]
, Evaluating the Visualization of What a Deep Neural Network Has Learned
IEEE Trans. Neural Netw. Learning Syst., 28(11):2660-2673, 2017
[bibtex] [url]
, On Robust Parameter Estimation in Brain-Computer Interfacing
Journal of Neural Engineering, 14m, 061001, 2017
[bibtex]
, Quantum-chemical insights from deep tensor neural networks
Nature communications, Nature Publishing Group, 8:13890, 2017
[bibtex] [url]
, Open Access Dataset for EEG+ NIRS Single-Trial Classification, Publisher: IEEE
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(10):1735-1745, 2017
[bibtex]
, Open Access Dataset for EEG+ NIRS Single-Trial Classification
IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE, 25(10):1735-1745, 2017
[bibtex]
Conference papers
, An Empirical Study on The Properties of Random Bases for Kernel Methods
Advances in Neural Information Processing Systems 30 (NIPS 2017), 2017
[bibtex] [pdf] [url]
, Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017, 2017
[bibtex] [url]
, Towards Brain-Computer Interfaces outside the lab: new measuring devices and machine learning challenges
Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
[bibtex]
, Minimizing Trust Leaks for Robust Sybil Detection
Proceedings of 34th International Conference on Machine Learning (ICML2017), 2017
[bibtex]
, Object Boundary Detection and Classification with Image-Level Labels
Pattern Recognition - 39th German Conference, GCPR 2017, Basel, Switzerland, September 12-15, 2017, Proceedings, 2017
[bibtex] [url]
, Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware, ISSN: 1557-170X
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
[bibtex]
, Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, Verlag der Technischen Universität Graz, 2017
[bibtex]
, Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017, Verlag der Technischen Universität Graz, 2017
[bibtex] [url]
, Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
[bibtex]
, Understanding and Comparing Deep Neural Networks for Age and Gender Classification
2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, 2017
[bibtex] [url]
, SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Advances in Neural Information Processing Systems 30 (NIPS 2017), 2017
[bibtex] [pdf] [url]
, Hybrid EEG-NIRS brain-computer interface under eyes-closed condition
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017, Kuala Lumpur, Malaysia, December 12-15, 2017, 2017
[bibtex] [url]
, Interpretable human action recognition in compressed domain
2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017
[bibtex] [url]
2016
Journal papers
, The Berlin Brain-Computer Interface: Progress Beyond Communication and Control, Open Access
Frontiers in neuroscience, 10:530, 2016
[bibtex] [url]
, Brain-Computer Interfacing under Distraction: An Evaluation Study
Journal of Neural Engineering, 13(5):056012, 2016
[bibtex]
, Analyzing neuroimaging data with subclasses: a shrinkage approach
NeuroImage, 124, Part A:740-751, 2016
[bibtex] [pdf] [url]
, The Layer-wise Relevance Propagation Toolbox for Artificial Neural Networks
Journal of Machine Learning Research, 17(114):1-5, 2016
[bibtex]
, Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
NeuroImage, Elsevier, 141:291-303, 2016
[bibtex]
, Ensembles of adaptive spatial filters increase BCI performance: an online evaluation
Journal of neural engineering, 13(4):046003, 2016
[bibtex] [pdf] [url]
, The LDA beamformer: optimal estimation of ERP source time series using linear discriminant analysis
NeuroImage, 129:279-291, 2016
[bibtex] [url]
, EEG-based usability assessment of 3D shutter glasses
Journal of neural engineering, 13(1):016003, 2016
[bibtex] [url]
Conference papers
, Identifying Individual Facial Expressions by Deconstructing a Neural Network
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings, Springer International Publishing, 2016
[bibtex] [url]
, Explaining Predictions of Non-Linear Classifiers in NLP
Proceedings of the 1st Workshop on Representation Learning for NLP, Association for Computational Linguistics, 2016
[bibtex]
, Layer-Wise Relevance Propagation for Deep Neural Network Architectures
Information Science and Applications (ICISA) 2016, Springer Singapore, 2016
[bibtex] [url]
, Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Artificial Neural Networks and Machine Learning - ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II, Springer International Publishing, 2016
[bibtex] [url]
, Classification of motor imagery with distractions
6th International BCI Meeting in Asilomar, 2016
[bibtex]
, M3BA: New Technology for Mobile Hybrid BCIs
Proceedings of the 6th International Brain-Computer Interface Meeting 2016, 2016
[bibtex]
, Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer
Proceedings of the Society for functional Near Infrared Spectroscopy Biennial Meeting 2016, 2016
[bibtex]
, M3BA: New Technology for Mobile Hybrid BCIs
Proceedings of the 6th International Brain-Computer Interface Meeting 2016, 2016
[bibtex]
, Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer
Proceedings of the Society for functional Near Infrared Spectroscopy Biennial Meeting 2016, 2016
[bibtex]
, Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
[bibtex]
, Wasserstein Training of Restricted Boltzmann Machines
Advances In Neural Information Processing Systems 29, Curran Associates, Inc., 2016
[bibtex]
2015
Journal papers
, EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)
Journal of neural engineering, 12(2):026012, 2015
[bibtex] [url]
, On Pixel-wise Explanations for Non-Linear Classifier Decisions by Layer-wise Relevance Propagation
PLOS ONE, 10(7):e0130140, 2015
[bibtex] [url]
, Multivariate Machine Learning Methods for Fusing Functional Multimodal Neuroimaging Data
Proceedings of the IEEE, 103(9):1507-1530, 2015
[bibtex] [url]
, Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based Brain-Computer Interfaces
Proceedings of the IEEE, 103(6):891-906, 2015
[bibtex]
, Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control
IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE, 23(4):1534-4320, 2015
[bibtex]
, Towards Noninvasive Hybrid Brain Computer Interfaces: Framework, Practice, Clinical Application, and Beyond
Proceedings of the IEEE, PP(99):1-18, 2015
[bibtex] [url]
, Identifying Granger causal relationships between neural power dynamics and variables of interest
NeuroImage, 111:489-504, 2015
[bibtex] [url]
, Effect of Higher Frequency on the Classification of Steady State Visual Evoked Potentials, accepted
Journal of Neural Engineering, 2015
[bibtex]
Conference papers
, Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment
Proceedings of the 2015 International IEEE Conference on Neural Engineering (NER), 2015
[bibtex]
, Investigating effects of different artefact types on Motor Imagery BCI
Conf Proc IEEE Eng Med Biol Soc (EMBC), 2015
[bibtex]
, Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information
International Workshop on Pattern Recognition in Neuroimaging, 2015, 2015
[bibtex]
, Tacking noise, artifacts and nonstationarity in BCI with robust divergences
Proceedings of the European Signal Processing Conference (EUSIPCO), 2015
[bibtex]
2014
Journal papers
, The effect of linear mixing in the EEG on Hurst exponent estimation, In press
NeuroImage, 2014
[bibtex] [url]
, SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters
NeuroImage, 86(0):111-122, 2014
[bibtex] [url]
, Finding brain oscillations with power dependencies in neuroimaging data
NeuroImage, 96:334-348, 2014
[bibtex] [pdf] [url]
, Stereoscopic depth increases intersubject correlations of brain networks
NeuroImage, Elsevier, 100:427-434, 2014
[bibtex]
, Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution, Open Access
PloS one, Public Library of Science, 9(8):e104854, 2014
[bibtex] [url]
, Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography
Journal of Biomedical Optics, 19(9):096006, 2014
[bibtex]
, Robust Common Spatial filters with a Maxmin Approach
Neural Computation, 26(2):1-28, 2014
[bibtex] [url]
, Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller
Journal of neural engineering, 11(3):035005, 2014
[bibtex] [url]
, Divergence-based Framework for Common Spatial Patterns Algorithms
Biomedical Engineering, IEEE Reviews in, 7:50-72, 2014
[bibtex] [url]
, How to represent crystal structures for machine learning: Towards fast prediction of electronic properties
Phys. Rev. B, American Physical Society, 89:205118, 2014
[bibtex] [pdf] [url]
, Predicting BCI subject performance using probabilistic spatio-temporal filters, Open Access
PloS one, Public Library of Science, 9(2):e87056, 2014
[bibtex]
Book chapters
, Machine Learning for Visual Concept Recognition and Ranking for Images
Towards the Internet of Services: The THESEUS Program, Cognitive Technologies, 2014
[bibtex] [url]
Conference papers
, Multimodal integration of electrophysiological and hemodynamic signals
Brain-Computer Interface (BCI), 2014 International Winter Workshop on, 2014
[bibtex]
, Finding brain oscillations with power dependencies in neuroimaging data
Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2014, 2014
[bibtex]
, Optimizing spatial filters for the extraction of envelope-coupled neural oscillations
International Workshop on Pattern Recognition in Neuroimaging, 2014, 2014
[bibtex]
, Boosting simultaneous and proportional myoelectric control by combining source power correlation (SPoC) and linear regression
Bernstein Conference, 2014, 2014
[bibtex]
, Learning and Evaluation in Presence of Non-iid Label Noise
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
[bibtex]
, Mean shrinkage improves the classification of ERP signals by exploiting additional label information
Proceedings of the 2014 International Workshop on Pattern Recognition in Neuroimaging, 2014
[bibtex] [pdf]
, Information Geometry meets BCI - Spatial filtering using divergences
Brain-Computer Interface (BCI), 2014 International Winter Workshop on, 2014
[bibtex]
2013
Journal papers
, Enhanced Representation and Multi-Task Learning for Image Annotation
Computer Vision and Image Understanding, 117(5):466 - 478, 2013
[bibtex] [url]
, Integration of Multivariate Data Streams With Bandpower Signals
IEEE Transactions on Multimedia, 15(5):1001-1013, 2013
[bibtex] [url]
, Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies
Journal of Chemical Theory and Computation, 9(8):3404-3419, 2013
[bibtex]
, Analyzing Local Structure in Kernel-based Learning: Explanation, Complexity and Reliability Assessment
Signal Processing Magazine, IEEE, 30(4):62-74, 2013
[bibtex] [url]
, Machine Learning of Molecular Electronic Properties in Chemical Compound Space, to appear
New Journal of Physics, Focus Issue, Novel Materials Discovery, 2013
[bibtex]
, Single-trial analysis of the neural correlates of speech quality perception
Journal of neural engineering, 10(5):056003, 2013
[bibtex]
, Transferring Subspaces Between Subjects in Brain-Computer Interfacing
IEEE transactions on bio-medical engineering, 60(8):2289-2298, 2013
[bibtex]
, 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]
Conference papers
, Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Advances in Neural Information Processing Systems 26, 2013
[bibtex]
, Neural Networks for Computational Chemistry: Pitfalls and Recommendations
MRS Online Proceedings Library, 1523, 2013
[bibtex] [url]
, Multiple Kernel Learning for Brain-Computer Interfacing
Conf Proc IEEE Eng Med Biol Soc (EMBC), 2013
[bibtex] [url]
, Robust Spatial Filtering with Beta Divergence
Advances in Neural Information Processing Systems 26, MIT Press, 2013
[bibtex] [pdf] [url]
, 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]
2012
Books
, Neural Networks: Tricks of the Trade, Reloaded
Springer, Lecture Notes in Computer Science (LNCS), 7700, 2012
[bibtex] [url]
Journal papers
, Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions
NeuroImage, 61(4):1031-1042, 2012
[bibtex] [pdf]
, On Taxonomies for Multi-class Image Categorization
International Journal of Computer Vision, 99(3):281-301, 2012
[bibtex] [url]
, Insights from Classifying Visual Concepts with Multiple Kernel Learning
PLoS ONE, 7(8), 2012
[bibtex] [url]
, 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]
, Enhanced performance by a Hybrid NIRS-EEG Brain Computer Interface, Open Access
NeuroImage, 59(1):519-529, 2012
[bibtex] [url]
, A critical assessment of connectivity measures for EEG data: a simulation study
NeuroImage, 64:120-133, 2012
[bibtex] [pdf] [url]
, Algebraic Geometric Comparison of Probability Distributions
Journal of Machine Learning Research, 13:855-903, 2012
[bibtex] [pdf]
, Stationary Common Spatial Patterns for Brain-Computer Interfacing
Journal of Neural Engineering, 9(2):026013, 2012
[bibtex] [url]
, 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]
, Review of the BCI Competition IV, Open Access
Frontiers in neuroscience, 6(55), 2012
[bibtex] [url]
Book chapters
, BCI applications for the general population
Brain-Computer Interfaces - Principles and Practice, Oxford University Press, 2012
[bibtex]
, 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]
, Deep Boltzmann Machines and the Centering Trick
Neural Networks: Tricks of the trade, Reloaded, Springer, LNCS, 7700, 2012
[bibtex] [pdf] [url]
Conference papers
, Quantifying Spatiotemporal Dynamics of Twitter Replies to News Feeds
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
[bibtex] [pdf]
, Multi-variate correlation of power spectral density
Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2012, 2012
[bibtex]
, Regression for sets of polynomial equations
JMLR Workshop and Conference Proc. Vol. 22, 2012
[bibtex] [pdf]
, Deep Boltzmann Machines as Feed-Forward Hierarchies
International Conference on Artificial Intelligence and Statistics (AISTATS), 2012
[bibtex] [pdf]
, Learning Invariant Representations of Molecules for Atomization Energy Prediction
Advances in Neural Information Processing Systems 25, 2012
[bibtex] [url]
, 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]
, Brain-Computer Interfacing in Discriminative and Stationary Subspaces
Conf Proc IEEE Eng Med Biol Soc (EMBC), 2012
[bibtex] [url]
, Common Spatial Pattern Patches: online evaluation on naive users
Conf Proc IEEE Eng Med Biol Soc, 2012, 2012
[bibtex] [pdf]
2011
Journal papers
, Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization
arXiv, 2011
[bibtex]
, Analysis of Multimodal Neuroimaging Data
Biomedical Engineering, IEEE Reviews in, 4:26-58, 2011
[bibtex]
, Insights from Classifying Visual Concepts with Multiple Kernel Learning
arXiv, 2011
[bibtex] [url]
, Single-trial analysis and classification of ERP components - a tutorial
NeuroImage, 56:814-825, 2011
[bibtex] [pdf] [url]
, Slow Feature Analysis as a Potential Preprocessing Tool in BCI
International Journal of Bioelectromagnetism, 13(2):100-101, 2011
[bibtex] [url]
, L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI
NeuroImage, 56(4):2100 - 2108, 2011
[bibtex] [pdf] [url]
, Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online Studies
International Journal of Bioelectromagnetism, 13(2):96-97, 2011
[bibtex] [url]
, Visual Interpretation of Kernel-Based Prediction Models
Molecular Informatics, 30(9):817-826, 2011
[bibtex] [url]
, Large-Scale EEG/MEG Source Localization with Spatial Flexibility
NeuroImage, 54:851-859, 2011
[bibtex] [pdf] [url]
, Introduction to machine learning for brain imaging
NeuroImage, 56:387-399, 2011
[bibtex] [pdf] [url]
, Forschen an einer neuen Schnittstelle zum Gehirn: Das Berliner Brain-Computer-Interface
Nova Acta Leopoldina, 110(377):235-257, 2011
[bibtex] [url]
, The Stationary Subspace Analysis Toolbox
Journal of Machine Learning Research, 12:3065-3069, 2011
[bibtex] [pdf]
, Kernel analysis of deep networks
Journal of Machine Learning Research, 12:2563-2581, 2011
[bibtex] [pdf]
, StructRank: A New Approach for Ligand-Based Virtual Screening
J. Chem. Inf. Model., 51:83-92, 2011
[bibtex]
, Common Spatial Pattern Patches - an Optimized Filter Ensemble for Adaptive Brain-Computer Interfaces
Journal of neural engineering, 8(2):025012 (7pp), 2011
[bibtex] [url]
, Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces
IEEE transactions on bio-medical engineering, 58(3):587 -597, 2011
[bibtex] [url]
, Machine-Learning Based Co-adaptive Calibration
Neural computation, 23(3):791-816, 2011
[bibtex] [pdf] [url]
, Co-adaptive calibration to improve BCI efficiency
Journal of neural engineering, 8(2):025009 (8pp), 2011
[bibtex] [url]
Conference papers
, 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]
, 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]
, ℓ1-Penalized Linear Mixed-Effects Models for BCI
Artificial Neural Networks and Machine Learning-ICANN 2011, Springer-Verlag, 2011
[bibtex]
, A New Scatter-Based Multi-Class Support Vector Machine
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2011
[bibtex]
, Importance of Cross-Layer Cooperation for Learning Deep Feature Hierarchies
NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011
[bibtex] [pdf]
, Revealing the Neural Response to Imperceptible Peripheral Flicker with Machine Learning
Conf Proc IEEE Eng Med Biol Soc, 2011:3692-3695, 2011
[bibtex] [pdf]
2010
Journal papers
, How to Explain Individual Classification Decisions
JMLR, 11:1803-1831, 2010
[bibtex] [url]
, Neurophysiological Predictor of SMR-Based BCI Performance
NeuroImage, 51(4):1303-1309, 2010
[bibtex] [pdf] [url]
, The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology, Open Access
Frontiers in neuroscience, 4:198, 2010
[bibtex] [url]
, Sparse Causal Discovery in Multivariate Time Series
JMLR W&CP, 6:97-106, 2010
[bibtex] [pdf]
, Modeling sparse connectivity between underlying brain sources for EEG/MEG
IEEE transactions on bio-medical engineering, 57(8):1954 - 1963, 2010
[bibtex] [pdf] [url]
, Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA
Magnetic Resonance Imaging, 28(8):1095-1103, 2010
[bibtex] [url]
, Localizing and estimating causal relations of interacting brain rhythms, Open Access
Frontiers in human neuroscience, 4:209, 2010
[bibtex] [url]
, Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges, Open Access
Frontiers in Neuroprosthetics, 4, 2010
[bibtex] [url]
, Approximate Tree Kernels
Journal of Machine Learning Research, 11(Feb):555-580, 2010
[bibtex] [pdf]
, From machine learning to natural product derivatives selectively activating transcription factor PPARγ
ChemMedChem, 5(2):191-194, 2010
[bibtex] [url]
, On optimal channel configurations for SMR-based brain-computer interfaces
Brain topography, 23(2):186-193, 2010
[bibtex] [pdf] [url]
, Truxillic acid derivatives act as peroxisome proliferator-activated receptor [gamma] activators
Bioorganic & Medicinal Chemistry Letters, 20(9):2920-2923, 2010
[bibtex] [url]
, A regularized discriminative framework for EEG analysis with application to brain-computer interface
NeuroImage, 49:415-432, 2010
[bibtex] [url]
, Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience, Open Access
Frontiers in neuroscience, 4:179, 2010
[bibtex] [url]
Book chapters
, 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]
, Comparison of Granger Causality and Phase Slope Index
Causality: Objectives and Assessment, JMLR Workshop and Conference Proceedings, 6:267-276, 2010
[bibtex] [url]
, Adaptive Methods in BCI Research - An Introductory Tutorial
Brain-Computer Interfaces, Springer, The Frontiers Collection, 2010
[bibtex] [url]
Conference papers
, Finding Stationary Brain Sources in EEG Data
Proceedings of the 32nd Annual Conference of the IEEE EMBS, 2010
[bibtex]
, 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]
, 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]
, Modeling the Connectivity of Neural Ensembles Underlying EEG/MEG, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010
Frontiers in computational neuroscience, 2010
[bibtex] [url]
, Layer-wise analysis of deep networks with Gaussian kernels
Advances in Neural Information Processing Systems 23, 2010
[bibtex] [pdf]
, 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]
, 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]
2009
Journal papers
, Finding Stationary Subspaces in Multivariate Time Series
Physical Review Letters, 103:214101, 2009
[bibtex]
, Temporal Kernel Canonical Correlation Analysis and its Application in Multimodal Neuronal Data Analysis
Machine Learning, 79(1-2):5-27, 2009
[bibtex] [pdf] [url]
, 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]
, Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
J. Chem. Inf. Model., 49(9):2077-2081, 2009
[bibtex] [url]
, A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization, Open Access
PLoS Comput Biol, Public Library of Science, 5(8), 2009
[bibtex] [url]
, Improving BCI performance by task-related trial pruning
Neural Networks, 22:1295-1304, 2009
[bibtex] [url]
, Securing IMS against Novel Threats
Bell Labs Technical Journal, 14(1):243-257, 2009
[bibtex] [pdf]
, Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces
Int J Hum Comput Stud, 67(10):827-841, 2009
[bibtex] [url]
Conference papers
, Stationary Subspace Analysis
ICA, 2009
[bibtex] [url]
, 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]
, Predicting BCI Performance to Study BCI Illiteracy
7th NFSI & ICBEM 2009, 2009
[bibtex] [pdf]
, Predicting BCI Performance to Study BCI Illiteracy, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009
BMC Neuroscience 2009, 10:(Suppl 1):P84, 2009
[bibtex] [url]
, A maxmin approach to optimize spatial filters for EEG single-trial classification
Proceedings of IWANN 09, Part I, LNCS, 2009
[bibtex] [pdf]
, Robust Common Spatial Filters with a Maxmin Approach
EMBS-Conference, 2009
[bibtex]
, Efficient and Accurate Lp-Norm Multiple Kernel Learning
Advances in Neural Information Processing Systems 22, MIT Press, 2009
[bibtex] [pdf]
, Learning invariances with Stationary Subspace Analysis
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on, 2009
[bibtex]
, Multiple Kernel Learning for Object Classification
Proceedings of the 12th Workshop on Information-based Induction Sciences, 2009
[bibtex] [pdf]
, Playing Pinball with non-invasive BCI
Advances in Neural Information Processing Systems 21, December 8-11, 2008, MIT Press, 2009
[bibtex] [pdf]
Technical reports
, A Multi-Class Support Vector Machine Based on Scatter Criteria
Technische Universität Berlin, 2009
[bibtex] [url]
2008
Journal papers
, 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]
, Optimizing Spatial Filters for Robust EEG Single-Trial Analysis
IEEE Signal Processing Magazine, 25(1):41-56, 2008
[bibtex] [pdf] [url]
, On Relevant Dimensions in Kernel Feature Spaces
Journal of Machine Learning Research, 9:1875-1908, 2008
[bibtex]
, Combining sparsity and rotational invariance in EEG/MEG source reconstruction
NeuroImage, 42(2):726-738, 2008
[bibtex] [pdf] [url]
, Towards Zero Training for Brain-Computer Interfacing, Open Access
PloS one, Public Library of Science, 3(8):e2967, 2008
[bibtex] [pdf] [url]
, 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]
, Brain-Computer Interfacing for Intelligent Systems
IEEE Intelligent Systems, 23(3):72-79, 2008
[bibtex] [pdf] [url]
, Robustly Estimating the Flow Direction of Information in Complex Physical Systems
Physical Review Letters, 100:234101, 2008
[bibtex] [pdf] [url]
, A Probabilistic Approach to Classifying Metabolic Stability
Journal of Chemical Information and Modelling, 48(4):785-796, 2008
[bibtex] [pdf] [url]
Book chapters
, The Berlin Brain-Computer Interface
WCCI 2008 Plenary/Invited Lectures, Springer, LNCS, 5050:79-101, 2008
[bibtex] [pdf] [url]
, Machine Learning for Intrusion Detection
Mining Massive Data Sets for Security, IOS press, 2008
[bibtex]
Conference papers
, Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Advances in Neural Information Processing Systems 20, MIT Press, 2008
[bibtex] [pdf]
, Estimating vector fields using sparse basis field expansions
Advances in Neural Information Processing Systems 21, MIT Press, 2008
[bibtex] [pdf]
, 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]
2007
Books
, Toward Brain-Computer Interfacing
MIT Press, 2007
[bibtex]
Journal papers
, Optimal dyadic decision trees
Machine Learning, 66(2-3):209-241, 2007
[bibtex] [pdf] [url]
, The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects
NeuroImage, 37(2):539-550, 2007
[bibtex] [pdf] [url]
, 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]
, Robustifying EEG data analysis by removing outliers
Chaos and Complexity Letters, 2(3):259-274, 2007
[bibtex] [pdf]
, 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]
, 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]
, A novel mechanism for evoked responses in human brain
The European journal of neuroscience, 25:3146-54, 2007
[bibtex] [pdf]
, Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes, Open Access
PloS one, 2(7):e637, 2007
[bibtex] [pdf] [url]
, Improving the C. elegans genome annotation using machine learning
PLoS Computational Biology, 3:e20, 2007
[bibtex] [pdf]
, Predicting Lipophilicity of Drug Discovery Molecules using Gaussian Process Models
ChemMedChem, 2(9):1265-1267, 2007
[bibtex] [pdf] [url]
, 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]
, Machine Learning Models for Lipophilicity and their Domain of Applicability
Mol. Pharm., 4(4):524-538, 2007
[bibtex] [pdf] [url]
, 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]
, 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]
, The Need for Open Source Software in Machine Learning
Journal of Machine Learning Research, 8:2443-2466, 2007
[bibtex] [pdf]
, Covariate Shift Adaptation by Importance Weighted Cross Validation
Journal of Machine Learning Research, 8:1027-1061, 2007
[bibtex] [pdf]
Book chapters
, The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain States
Toward Brain-Computer Interfacing, MIT press, 2007
[bibtex]
, General signal processing and machine learning tools for BCI
Toward Brain-Computer Interfacing, MIT Press, 2007
[bibtex]
, An introducton to brain computer interfacing
Toward Brain-Computer Interfacing, MIT press, 2007
[bibtex]
, Improving human performance in a real operating environment through real-time mental workload detection
Toward Brain-Computer Interfacing, MIT press, 2007
[bibtex] [pdf]
, Adaptation in CSP-based BCI systems
Toward Brain-Computer Interfacing, MIT Press, 2007
[bibtex]
Conference papers
, 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]
, Denoising and Dimension Reduction in Feature Space, accepted
Advances in Neural Inf. Proc. Systems (NIPS 20), 2007
[bibtex]
, Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Advances in Neural Information Processing Systems 19, MIT Press, 2007
[bibtex] [pdf]
, Machine Learning and Applications for Brain-Computer Interfacing
Human Interface, Part I, HCII 2007, Springer, LNCS, 4557:705-714, 2007
[bibtex]
, Logistic Regression for Single Trial EEG Classification
Advances in Neural Information Processing Systems 19, MIT Press, 2007
[bibtex] [pdf]
2006
Journal papers
, In search of non-Gaussian components of a high-dimensional distribution
Journal of Machine Learning Research, 7:247-282, 2006
[bibtex] [pdf]
, 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]
, 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] [url]
, 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]
, 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]
, From outliers to prototypes: ordering data
Neurocomputing, 69(13-15):1608-1618, 2006
[bibtex]
, Incremental Support Vector Learning: Analysis, Implementation and Applications
Journal of Machine Learning Research, 7:1909-1936, 2006
[bibtex] [pdf]
, On the information and representation of non-Euclidean pairwise data
Pattern Recognition, 39(10):1815-1826, 2006
[bibtex]
, Enhancing the Signal to Noise Ratio of ICA-based Extracted ERPs
IEEE transactions on bio-medical engineering, 53(4):601-607, 2006
[bibtex]
, Toward noninvasive Brain-Computer Interfaces
IEEE Signal Processing Magazine, 23(5):125-128, 2006
[bibtex] [pdf] [url]
, 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]
, Identifying interactions in mixed and noisy complex systems
Physical Review E, 73:051913, 2006
[bibtex]
, Towards Adaptive Classification for BCI
Journal of neural engineering, 3(1):R13-R23, 2006
[bibtex] [pdf] [url]
Book chapters
, 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
, Non-Gaussian component analysis: a semi-parametric framework for linear dimension reduction
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006
[bibtex] [pdf]
, 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]
, Optimizing spatio-temporal filters for improving Brain-Computer Interfacing
Advances in Neural Inf. Proc. Systems (NIPS 05), MIT Press, 18:315-322, 2006
[bibtex]
, A novel dimension reduction procedure for searching non-Gaussian subspaces, accepted
Proc. of ICA2006, 2006
[bibtex]
, On-line differentiation of neuroelectric activities: algorithms and applications
Proceedings of the 28th Annual International Conference IEEE EMBS on Biomedicine, 2006
[bibtex] [pdf]
, 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]
, Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction, accepted
Advances in Neural Inf. Proc. Systems (NIPS 05), 18, 2006
[bibtex]
, 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]
, Efficient Algorithms for Similarity Measures over Sequential Data: A Look beyond Kernels
Pattern Recognition, Proc. of 28th DAGM Symposium, 2006
[bibtex] [pdf]
, Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis
Proc. of ICASSP2006, 2006
[bibtex]
2005
Journal papers
, Estimating functions for blind separation when sources have variance dependencies
Journal of Machine Learning Research, 6:453-482, 2005
[bibtex]
, Spatio-Spectral Filters for Improving Classification of Single Trial EEG
IEEE transactions on bio-medical engineering, 52(9):1541-1548, 2005
[bibtex] [pdf] [url]
, Classifying 'Drug-likeness' with Kernel-Based Learning Methods
J. Chem. Inf. Model, 45:249-253, 2005
[bibtex] [pdf]
, Inlier-based ICA with an application to super-imposed images
International Journal of Imaging Systems and Technology, Wiley Subscription Services, Inc., A Wiley Company, 15(1):48-55, 2005
[bibtex] [url]
, Measuring Phase Synchronization of Superimposed Signals
Physical Review Letters, 94(8):084102, 2005
[bibtex] [pdf]
, Automatic Identification of Faked and Fraudulent Interviews in the German SOEP
Schmollers Jahrbuch,Duncker & Humblot, Berlin, 125:183-193, 2005
[bibtex]
, Input-Dependent Estimation of Generalization Error under Covariate Shift
Statistics and Decisions, 23(4):249-279, 2005
[bibtex] [pdf]
Conference papers
, Visualization of anomaly detection using prediction sensitivity
Proc. of Conference "Sicherheit, Schutz und Zuverlässigkeit" (SICHERHEIT), 2005
[bibtex] [pdf]
Technical reports
, The Berlin Brain-Computer Interface: Report from the Feedback Sessions
Fraunhofer FIRST, 2005
[bibtex] [pdf]
2004
Journal papers
, 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]
, 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]
, Injecting noise for analysing the stability of ICA components
Signal Processing, 84:255-266, 2004
[bibtex]
, The Berlin Brain-Computer Interface For Rapid Response
Biomed Tech, 49(1):61-62, 2004
[bibtex] [pdf]
, Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines (Extended Version)
Praxis der Informationsverarbeitung und Kommunikation, 27:228-236, 2004
[bibtex]
, Feature Discovery in Non-Metric Pairwise Data
Journal of Machine Learning, 5(Jul):801-818, 2004
[bibtex]
, Machine learning techniques for Brain-Computer Interfaces
Biomed Tech, 49(1):11-22, 2004
[bibtex] [pdf]
, Blind Source Separation Techniques For Decomposing Event-Related Brain Signals
International Journal of Bifurcation and Chaos, 14(2):773-791, 2004
[bibtex]
, 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]
, Asymptotic properties of the Fisher kernel
Neural Computation, 16:115-137, 2004
[bibtex]
, 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
, Support Vector Machines
Handbook of Computational Statistics, Springer, Berlin, 2004
[bibtex]
Conference papers
, 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]
, Estimating functions for blind separation when sources have variance-dependencies, accepted
Proc. of ICA2004, 2004
[bibtex] [pdf]
, 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]
, Robust ICA for Super-Gaussian Sources
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2004), 2004
[bibtex] [pdf]
, Approximate joint diagonalization using a natural-gradient approach, Proc. ICA 2004
Lecture Notes in Computer Science, Springer-Verlag, 3195:89-96, 2004
[bibtex]
2003
Journal papers
, 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]
, Kernel-based Nonlinear Blind Source Separation
Neural Computation, 15:1089-1124, 2003
[bibtex]
, 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]
, 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]
, Learning discriminative and invariant nonlinear features
IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):623-628, 2003
[bibtex]
, 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]
, 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
, Combining Features for BCI
Advances in Neural Inf. Proc. Systems (NIPS 02), 15:1115-1122, 2003
[bibtex] [pdf]
, Analysing ICA components by injecting noise
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2003), 2003
[bibtex] [pdf]
, 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]
, Going metric: Denoising pairwise data
Advances in Neural Information Processing 15, MIT Press, 2003
[bibtex]
, Feature extraction for one-class classification
ICANN/ICONIP, 2003
[bibtex] [pdf]
, Clustering with the Fisher score
Advances in Neural Information Processing 15, MIT Press, 2003
[bibtex]
, 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]
, A Linear Least-Squares Algorithm for Joint Diagonalization
Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), 2003
[bibtex]
2002
Journal papers
, 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]
, On-line learning in changing environments with applications in supervised and unsupervised learning
Neural Networks, 15(4-6):743-760, 2002
[bibtex]
, 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]
, The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
Journal of Machine Learning Research, 3(Nov):323-359, 2002
[bibtex] [pdf]
, A New Discriminative Kernel from Probabilistic Models
Neural Computation, 14:2397-2414, 2002
[bibtex] [pdf] [ps]
, Subspace Information Criterion for Non-Quadratic Regularizers - Model Selection for Sparse Regressors
IEEE Transactions on Neural Networks, 13(1):70-80, 2002
[bibtex] [pdf]
, Subspace Information Criterion for Sparse Regressors, in Japanese
IEICE Transactions, 85-D-II(5):766-775, 2002
[bibtex] [pdf]
Conference papers
, Classifying Single Trial EEG: Towards Brain Computer Interfacing
Advances in Neural Inf. Proc. Systems (NIPS 01), 14:157-164, 2002
[bibtex] [pdf]
, Kernel feature spaces and Nonlinear blind source separation
Advances in Neural Information Processing Systems, MIT Press, 14, 2002
[bibtex] [pdf]
, Estimating the Reliability of ICA Projections
Advances in Neural Information Processing Systems 14, MIT Press, 2002
[bibtex] [pdf]
, New Methods for Splice-Site Recognition, Copyright by Springer
In Proceedings of the International Conference on Artifical Neural Networks., 2002
[bibtex] [pdf] [ps]
, Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces
Artificial Neural Networks, Springer, Lecture Notes in Computer Science, 2415:528-534, 2002
[bibtex] [pdf]
, A New Discriminative Kernel from Probabilistic Models
Advances in Neural information processings systems, 14, 2002
[bibtex] [pdf] [ps]
, 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]
Technical reports
, Kernel-based Nonlinear Blind Source Separation
BLISS project, 2002
[bibtex]
2001
Journal papers
, An Introduction to Kernel-based Learning Algorithms
IEEE Neural Networks, 12(2):181-201, 2001
[bibtex]
, Noise robust estimates of correlation dimension and K2 entropy, PACS: 02.50.-r, 05.45.Tp, 05.45.Ac
Phys.rev.E, 64(1):016112, 2001
[bibtex]
, 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]
, Soft Margins for AdaBoost
Machine Learning, Kluwer Academic Publishers, 42(3):287-320, 2001
[bibtex]
Conference papers
, Nonlinear blind source separation using kernel feature spaces
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001
[bibtex] [pdf]
, Assessing reliability of ICA projections - a resampling approach
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001
[bibtex] [pdf]
, A mathematical programming approach to the Kernel Fisher algorithm
Advances in Neural Information Processing Systems, MIT Press, 13:591-597, 2001
[bibtex] [pdf]
, Learning To Predict the Leave-one-out Error of Kernel based classifiers
Proc. ICANN'01, 2001
[bibtex] [pdf]
, Separation of post-nonlinear mixtures using ACE and temporal decorrelation
Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation (ICA2001), 2001
[bibtex]
, 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]
2000
Books
, Advances in Neural Information Processing System 12 (NIPS'99)
MIT Press, 2000
[bibtex]
Journal papers
, 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]
, Prediction of Financial Data with Hidden Markov Mixtures of Experts
Int. Journal of Theoretical and Applied Finance, World Scientific, 3(3):593, 2000
[bibtex]
, 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]
, Independent Component Analysis of Non-invasively Recorded Cortical Magnetic DC-fields in Humans
IEEE Transactions on Biomedical Engineering, 47(5):594-599, 2000
[bibtex]
, Artifact reduction in magnetoneurography based on time-delayed second-order correlations
IEEE transactions on bio-medical engineering, 47(1):75-87, 2000
[bibtex]
, Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA
BioInformatics, 16(9):799-807, 2000
[bibtex] [pdf]
Book chapters
, 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
, Analysis of Nonstationary Time Series by Mixtures of Self-Organizing Predictors
Neural Networks for Signal Processing X, IEEE, 2000
[bibtex] [pdf]
, Decomposition Algorithms for Analysing Brain Signals
Adaptive Systems for Signal Processing, Communications and Control, 2000
[bibtex] [pdf] [url]
, 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]
, Invariant Feature Extraction and Classification in Kernel Spaces
Proc. NIPS 12, MIT Press, 2000
[bibtex] [pdf]
, A Non-Intrusive Monitoring System for Household Electric Appliances with Inverters
Proc. of NC'2000, 2000
[bibtex] [pdf]
, Unmixing Hyperspectral Data
Advances in Neural Information Processing Systems, MIT Press, 12:942-948, 2000
[bibtex]
, 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]
, u -Arc: Ensemble Learning in the Presence of Outliers
Proc. NIPS 12, MIT Press, 2000
[bibtex] [pdf]
, Barrier Boosting
Proc. COLT'00, Morgan Kaufmann, 2000
[bibtex] [pdf]
, OFI: Optimal filtering algorithms for Source Separation
ICA 2000, 2000
[bibtex]
Technical reports
, SVM and Boosting: One Class
GMD FIRST, 2000
[bibtex] [pdf]
1999
Journal papers
, Hidden Markov Mixtures of Experts with an Application to EEG Recordings from Sleep
Theory in Biosciences, 118(3-4):246-260, 1999
[bibtex] [pdf]
, 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
, Classification on Proximity Data with LP-Machines
Proceedings of ICANN'99, IEE Press, 1:304-309, 1999
[bibtex]
, Fast Change Point Detection in Switching Dynamics using a Hidden Markov Model of Prediction Experts
Artificial Neural Networks - ICANN '99, IEE, 1999
[bibtex] [pdf]
, 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]
, Hidden Markov Mixtures of Experts for Prediction of Non-Stationary Dynamics
Neural Networks for Signal Processing IX, 1999
[bibtex] [pdf]
, JADETD: Combining higher-order statistics and temporal information for blind source separation (with noise)
ICA '99, 1999
[bibtex]
, Fisher Discriminant Analysis with Kernels
Neural Networks for Signal Processing IX, IEEE, 1999
[bibtex] [pdf]
, Regularizing AdaBoost
Proc. NIPS 11, MIT Press, 1999
[bibtex] [pdf]
, 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]
, Engineering Support Vector Machine Kernel That Recognize Translation Initiation Sites in DNA
Proceedings GCB'99, 1999
[bibtex] [pdf]
1998
Books
, Neural Networks: Tricks of the Trade
Springer Heidelberg, LNCS, 1998
[bibtex]
Journal papers
, Data Set A is a Pattern Matching Problem
Neural Processing Letters, Kluwer Academic Publishers, 7(1):43-47, 1998
[bibtex] [pdf]
, Nonlinear component analysis as a kernel eigenvalue problem
Neural computation, 10(5):1299-1319, 1998
[bibtex]
Book chapters
, 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]
, 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]
, 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]
Conference papers
, Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
Advances in Neural Information Processing Systems 10, MIT Press, 1998
[bibtex] [pdf]
, An asymptotic analysis of AdaBoost in the binary classification case
Proc. ICANN'98, 1998
[bibtex] [pdf]
, An improvement of AdaBoost to avoid overfitting
Proc. ICONIP, 1998
[bibtex] [pdf]
, TDSEP - an efficient algorithm for blind separation using time structure
Proc. of the 8th International Conference on Artificial Neural Networks, ICANN'98, Springer Verlag, Perspectives in Neural Computing, 1998
[bibtex]
Technical reports
, Soft Margins for AdaBoost, to appear in Machine Learning
Royal Holloway College, 1998
[bibtex] [pdf]
, 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
, 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]
Book chapters
, Kernel principal component analysis
Artificial Neural Networks-ICANN'97, Springer, 1997
[bibtex]
Conference papers
, Segmentation and Identification of Drifting Dynamical Systems
Neural Networks for Signal Processing VII, IEEE, 1997
[bibtex] [pdf]
, Analysis of Wake/Sleep EEG with Competing Experts
Artificial Neural Networks - ICANN '97, Springer, 1997
[bibtex] [pdf]
, Predicting Time Series with Support Vector Machines
Artificial Neural Networks - ICANN '97, Springer, LNCS, 1327:999-1004, 1997
[bibtex] [pdf]
Technical reports
, Divisive Strategies for Predicting Non-Autonomous and Mixed Systems
GMD, 1997
[bibtex] [pdf]
1996
Journal papers
, Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
Neural Computation, 8:340-356, 1996
[bibtex] [pdf]
Conference papers
, Analysis of Drifting Dynamics with Competing Predictors
Artificial Neural Networks - ICANN '96, Springer, 1996
[bibtex] [pdf]
, Prediction of Mixtures
Artificial Neural Networks - ICANN '96, Springer, 1996
[bibtex] [pdf]
1995
Journal papers
, 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
, Improving Short-Term Prediction with Competing Experts
Artificial Neural Networks - ICANN '95, EC2, 2:215-220, 1995
[bibtex] [pdf]
, 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
, Competing Predictors Segment and Identify Switching Dynamics
Artificial Neural Networks - ICANN '94, Springer, 1994
[bibtex] [pdf]
, Segmentation and Identification of Switching Dynamics with Competing Neural Networks
ICONIP '94: Proc. of the Int. Conf. on Neural Information Processing, 1994
[bibtex]
, 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]