Improving the Caenorhabditis elegans genome annotation using machine learningThe need for novel informatics tools for integrating and planning research in molecular and cellular cognitionFast and Accurate Modeling of Molecular Atomization Energies with Machine LearningSingle trial classification of motor imagination using 6 dry EEG electrodesFinding Stationary Subspaces in Multivariate Time SeriesThe Berlin Brain-Computer Interface: Progress Beyond Communication and ControlOn Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance PropagationReview of the BCI Competition IV.Nonlinear Component Analysis as a Kernel Eigenvalue ProblemOpen Access Dataset for EEG+NIRS Single-Trial Classification.Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience.Explorative data analysis for changes in neural activity.Decoding of top-down cognitive processing for SSVEP-controlled BMIAnalyzing neuroimaging data with subclasses: A shrinkage approach.A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces.Towards zero training for brain-computer interfacing.A generalized framework for quantifying the dynamics of EEG event-related desynchronizationBenchmark data set for in silico prediction of Ames mutagenicity.Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guaranteesRecent advances in brain-machine interfaces.Finding stationary brain sources in EEG data.StructRank: a new approach for ligand-based virtual screening.ℓ(1)-penalized linear mixed-effects models for high dimensional data with application to BCI.True zero-training brain-computer interfacing--an online study.Analysis of multimodal neuroimaging data.Insights from classifying visual concepts with multiple kernel learningA critical assessment of connectivity measures for EEG data: a simulation study.Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.A scatter-based prototype framework and multi-class extension of support vector machines.Directional variance adjustment: bias reduction in covariance matrices based on factor analysis with an application to portfolio optimization.On-line learning in changing environments with applications in supervised and unsupervised learning.Distributed functions of detection and discrimination of vibrotactile stimuli in the hierarchical human somatosensory system.Predicting BCI subject performance using probabilistic spatio-temporal filters.An efficient ERP-based brain-computer interface using random set presentation and face familiarity.Explaining Recurrent Neural Network Predictions in Sentiment AnalysisThree-way analysis of spectrospatial electromyography data: classification and interpretationMachine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space.SVM2Motif--Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor.A convolutional neural network for steady state visual evoked potential classification under ambulatory environment.ML2Motif-Reliable extraction of discriminative sequence motifs from learning machines.
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P50
description
German physicist and computer scientist
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deutscher Informatiker
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natuurkundige
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tysk maskinlæringsprofessor
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فيزيائي ألماني
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-R Müller
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Klaus-R Müller
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Klaus-R Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
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Klaus-Robert Müller
@is
Klaus-Robert Müller
@it
Klaus-Robert Müller
@kl
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P1006
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