Klaus-Robert Müller
Orcid: 0000-0002-3861-7685Affiliations:
- Technical University of Berlin, Germany
According to our database1,
Klaus-Robert Müller
authored at least 481 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on dl.acm.org
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Inf. Fusion, March, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
IEEE Trans. Medical Imaging, February, 2024
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.
J. Frankl. Inst., 2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Learning domain invariant representations by joint Wasserstein distance minimization.
Neural Networks, October, 2023
J. Frankl. Inst., September, 2023
Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings.
NeuroImage, August, 2023
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation.
PLoS Comput. Biol., 2023
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI.
CoRR, 2023
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields.
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023
2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images.
Trans. Mach. Learn. Res., 2022
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective.
IEEE Signal Process. Mag., 2022
IEEE Signal Process. Mag., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data.
NeuroImage, 2022
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain.
NeuroImage, 2022
High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks.
Mach. Learn. Sci. Technol., 2022
Mach. Learn., 2022
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.
Inf. Fusion, 2022
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning.
Datenbank-Spektrum, 2022
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces.
CoRR, 2022
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence.
CoRR, 2022
Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields.
CoRR, 2022
So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales.
CoRR, 2022
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations.
CoRR, 2022
CoRR, 2022
Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks.
CoRR, 2022
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022
2021
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2021
Pattern Recognit., 2021
Basis profile curve identification to understand electrical stimulation effects in human brain networks.
PLoS Comput. Biol., 2021
Proc. IEEE, 2021
Neural Networks, 2021
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.
NeuroImage, 2021
Morphological and molecular breast cancer profiling through explainable machine learning.
Nat. Mach. Intell., 2021
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology.
Mach. Learn. Knowl. Extr., 2021
Inverse design of 3d molecular structures with conditional generative neural networks.
CoRR, 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.
CoRR, 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy.
CoRR, 2021
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects.
CoRR, 2021
Comput. Chem. Eng., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.
AI and ML for Digital Pathology, 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Biomed. Eng., 2020
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions.
Sci. Robotics, 2020
Pattern Recognit., 2020
npj Digit. Medicine, 2020
Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis.
NeuroImage, 2020
Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain.
NeuroImage, 2020
CoRR, 2020
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Proceedings of the Explainable AI: Interpreting, 2019
Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation.
NeuroImage, 2019
Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets.
NeuroImage, 2019
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.
NeuroImage, 2019
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network.
Digit. Signal Process., 2019
sGDML: Constructing accurate and data efficient molecular force fields using machine learning.
Comput. Phys. Commun., 2019
CoRR, 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints.
CoRR, 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Comput. Commun., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Image Process., 2018
Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition.
IEEE Trans. Circuits Syst. Video Technol., 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
Digit. Signal Process., 2018
CoRR, 2018
What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis.
CoRR, 2018
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals.
CoRR, 2018
CoRR, 2018
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.
CoRR, 2018
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
CoRR, 2018
Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier].
IEEE Comput. Intell. 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
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
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring.
IEEE Trans. Biomed. Eng., 2017
Pattern Recognit., 2017
J. Mach. Learn. Res., 2017
Porosity estimation by semi-supervised learning with sparsely available labeled samples.
Comput. Geosci., 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models.
CoRR, 2017
CoRR, 2017
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees.
CoRR, 2017
CoRR, 2017
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
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the International Conference on Systems, Signals and Image Processing, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
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
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
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Shifting stimuli for brain computer interface based on rapid serial visual presentation.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
2016
IEEE Trans. Signal Process., 2016
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
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.
CoRR, 2016
Investigating the influence of noise and distractors on the interpretation of neural networks.
CoRR, 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016
Proceedings of the 2016 Picture Coding Symposium, 2016
Proceedings of the 2016 Picture Coding Symposium, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
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
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016
2015
Proc. IEEE, 2015
Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond.
Proc. IEEE, 2015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proc. IEEE, 2015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. 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
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.
CoRR, 2015
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
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015
2014
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
NeuroImage, 2014
NeuroImage, 2014
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014
NeuroImage, 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
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
IEEE Trans. Multim., 2013
IEEE Trans. Biomed. Eng., 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
NeuroImage, 2013
Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning.
J. Comput. Sci. Eng., 2013
Comput. Vis. Image Underst., 2013
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
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
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
IEEE Trans. Image Process., 2012
Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight].
IEEE Signal Process. Mag., 2012
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions.
NeuroImage, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
J. Mach. Learn. Res., 2012
J. Cheminformatics, 2012
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
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
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
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
IEEE Trans. Signal Process., 2011
IEEE Trans. Biomed. Eng., 2011
ℓ<sub>1</sub>-penalized linear mixed-effects models for high dimensional data with application to BCI.
NeuroImage, 2011
NeuroImage, 2011
Neural Comput., 2011
J. Chem. Inf. Model., 2011
Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization
CoRR, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
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
Proceedings of the Brain-Computer Interfaces, 2010
IEEE Trans. Biomed. Eng., 2010
A regularized discriminative framework for EEG analysis with application to brain-computer interface.
NeuroImage, 2010
Mach. Learn., 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set.
J. Chem. Inf. Model., 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.
Frontiers Neuroinformatics, 2010
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 Comput. Biol., 2009
Neural Networks, 2009
J. Chem. Inf. Model., 2009
Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces.
Int. J. Hum. Comput. Stud., 2009
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
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
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
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. Eng., 2008
IEEE Signal Process. Mag., 2008
NeuroImage, 2008
J. Chem. Inf. Model., 2008
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.
IEICE Trans. Inf. Syst., 2008
Proceedings of the Computational Intelligence: Research Frontiers, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
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 <i>Caenorhabditis elegans</i> Genome Annotation Using Machine Learning.
PLoS Comput. Biol., 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.
Multim. Tools Appl., 2007
J. Mach. Learn. Res., 2007
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.
J. Chem. Inf. Model., 2007
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
J. Comput. Aided Mol. Des., 2007
Int. J. Hum. Comput. Stud., 2007
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
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
Proceedings of the Human Interface and the Management of Information. Methods, 2007
Proceedings of the Universal Access in Human-Computer Interaction. Ambient Interaction, 2007
2006
IEEE Trans. Biomed. Eng., 2006
Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing.
IEEE Trans. Biomed. Eng., 2006
Pattern Recognit., 2006
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States.
J. Univers. Comput. Sci., 2006
J. Mach. Learn. Res., 2006
J. Mach. Learn. Res., 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
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
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the Pattern Recognition, 2006
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
IEEE Trans. Biomed. Eng., 2005
J. Mach. Learn. Res., 2005
J. Chem. Inf. Model., 2005
Int. J. Imaging Syst. Technol., 2005
Proceedings of the Sicherheit 2005: Sicherheit, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
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
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms.
IEEE Trans. Biomed. Eng., 2004
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials.
IEEE Trans. Biomed. Eng., 2004
Prax. Inf.verarb. Kommun., 2004
Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.
Neural Comput., 2004
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.
J. Mach. Learn. Res., 2004
Int. J. Bifurc. Chaos, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
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 12th European Symposium on Artificial Neural Networks, 2004
2003
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2003
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.
J. Mach. Learn. Res., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
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. Eng., 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
J. Mach. Learn. Res., 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
IEEE Trans. Neural Networks, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Artificial Neural Networks, 2001
2000
Artifact reduction in magnetoneurography based on time-delayed second-order correlations.
IEEE Trans. Biomed. Eng., 2000
Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans.
IEEE Trans. Biomed. Eng., 2000
Engineering support vector machine kernels that recognize translation initiation sites.
Bioinform., 2000
Biol. Cybern., 2000
Proceedings of the Knowledge Discovery and Data Mining, 2000
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
IEEE Trans. Neural Networks, 1999
Inform. Forsch. Entwickl., 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Tools for computer-supported learning in organisations.
Proceedings of the Human-Computer Interaction: Communication, 1999
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.
Proceedings of the German Conference on Bioinformatics, 1999
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
1998
Neural Networks, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
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
IEEE Trans. Neural Networks, 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Artificial Neural Networks, 1997
Proceedings of the Artificial Neural Networks, 1997
Proceedings of the Artificial Neural Networks, 1997
1996
Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics.
Neural Comput., 1996
Neural Comput., 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
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
Proceedings of the Artificial Neural Networks, 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
1993
Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993