Klaus-Robert Müller

Klaus-Robert Müller's AcademicInfluence.com Rankings

Klaus-Robert Müller

Computer Science

#915

World Rank

#948

Historical Rank

Algorithms

#36

World Rank

#36

Historical Rank

Machine Learning

#84

World Rank

#84

Historical Rank

Artificial Intelligence

#173

World Rank

#177

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Klaus-Robert Müller's Degrees

PhD Computer Science Technical University of Berlin

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2025

Why Is Klaus-Robert Müller Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Klaus-Robert Müller is a German computer scientist and physicist, most noted for his work in machine learning and brain–computer interfaces. Career Klaus-Robert Müller received his Diplom in mathematical physics and PhD in theoretical computer science from the University of Karlsruhe. Following his Ph.D. he went to Berlin as a postdoctoral fellow at GMD Berlin , where he started building up the Intelligent Data Analysis group.

(See a Problem?)

Klaus-Robert Müller's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Nonlinear Component Analysis as a Kernel Eigenvalue Problem (1998) (8278)
An introduction to kernel-based learning algorithms (2001) (3641)
Efficient BackProp (2012) (2877)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation (2015) (2829)
Kernel Principal Component Analysis (1997) (2323)
Methods for interpreting and understanding deep neural networks (2017) (1647)
Soft Margins for AdaBoost (2001) (1320)
Input space versus feature space in kernel-based methods (1999) (1265)
Fast and accurate modeling of molecular atomization energies with machine learning. (2011) (1250)
Kernel PCA and De-Noising in Feature Spaces (1998) (1062)
Single-trial analysis and classification of ERP components — A tutorial (2011) (1037)
Explaining nonlinear classification decisions with deep Taylor decomposition (2015) (1036)
Predicting Time Series with Support Vector Machines (1997) (1023)
Quantum-chemical insights from deep tensor neural networks (2016) (983)
SchNet - A deep learning architecture for molecules and materials. (2017) (957)
How to Explain Individual Classification Decisions (2009) (889)
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models (2017) (880)
The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects (2007) (844)
Evaluating the Visualization of What a Deep Neural Network Has Learned (2015) (841)
Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010) (795)
Covariate Shift Adaptation by Importance Weighted Cross Validation (2007) (770)
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data (2019) (700)
Machine learning of accurate energy-conserving molecular force fields (2016) (694)
The connection between regularization operators and support vector kernels (1998) (690)
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials (2004) (678)
Unmasking Clever Hans predictors and assessing what machines really learn (2019) (667)
Review of the BCI Competition IV (2012) (652)
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment (2016) (633)
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms (2004) (619)
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions (2017) (603)
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning (2019) (603)
Introduction to machine learning for brain imaging (2011) (599)
Neurophysiological predictor of SMR-based BCI performance (2010) (596)
Spatio-spectral filters for improving the classification of single trial EEG (2005) (572)
Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space (2015) (541)
Classifying Single Trial EEG: Towards Brain Computer Interfacing (2001) (532)
Enhanced performance by a hybrid NIRS–EEG brain computer interface (2012) (517)
Machine learning of molecular electronic properties in chemical compound space (2013) (507)
Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies. (2013) (495)
Robustly estimating the flow direction of information in complex physical systems. (2007) (495)
Bypassing the Kohn-Sham equations with machine learning (2016) (480)
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites (2000) (477)
Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring (2008) (471)
Towards adaptive classification for BCI (2006) (440)
TDSEP — an efficient algorithm for blind separation using time structure (1998) (425)
Finding Density Functionals with Machine Learning (2011) (415)
Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight] (2012) (414)
Towards exact molecular dynamics simulations with machine-learned force fields (2018) (413)
Layer-Wise Relevance Propagation: An Overview (2019) (372)
Incremental Support Vector Learning: Analysis, Implementation and Applications (2006) (367)
Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing (2006) (363)
Asymptotic statistical theory of overtraining and cross-validation (1997) (358)
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints (2019) (349)
Machine learning for molecular simulation (2019) (341)
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology (2010) (341)
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects (2008) (317)
Brain-Computer Interfacing for Intelligent Systems (2008) (310)
Interpretable deep neural networks for single-trial EEG classification (2016) (308)
Learning how to explain neural networks: PatternNet and PatternAttribution (2017) (305)
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021) (298)
Machine Learning Force Fields (2020) (289)
Explaining Recurrent Neural Network Predictions in Sentiment Analysis (2017) (288)
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers (2016) (282)
A critical assessment of connectivity measures for EEG data: A simulation study (2013) (281)
Deep Semi-Supervised Anomaly Detection (2019) (275)
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation (2004) (268)
iNNvestigate neural networks! (2018) (264)
Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces (2011) (262)
Efficient and Accurate Lp-Norm Multiple Kernel Learning (2009) (260)
Towards Explainable Artificial Intelligence (2019) (260)
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification (2002) (254)
Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions (2019) (252)
"What is relevant in a text document?": An interpretable machine learning approach (2016) (251)
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity (2009) (247)
Towards Zero Training for Brain-Computer Interfacing (2008) (243)
Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing (2007) (242)
Psychological predictors of SMR-BCI performance (2012) (239)
Subject-independent mental state classification in single trials (2009) (239)
The Berlin Brain-Computer Interface (BBCI) – towards a new communication channel for online control in gaming applications (2007) (232)
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP (2015) (231)
Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes (2007) (230)
Finding stationary subspaces in multivariate time series. (2009) (224)
Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces (2003) (221)
The Need for Open Source Software in Machine Learning (2007) (219)
Invariant Feature Extraction and Classification in Kernel Spaces (1999) (218)
Stationary common spatial patterns for brain–computer interfacing (2012) (218)
SchNetPack: A Deep Learning Toolbox For Atomistic Systems. (2018) (211)
Effiicient BackProp (1996) (211)
Explanations can be manipulated and geometry is to blame (2019) (209)
A Mathematical Programming Approach to the Kernel Fisher Algorithm (2000) (204)
A convolutional neural network for steady state visual evoked potential classification under ambulatory environment (2017) (198)
Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set (2010) (195)
Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection (2007) (191)
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks (2015) (180)
Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces (2011) (180)
The Berlin Brain-Computer Interface: Progress Beyond Communication and Control (2016) (178)
An Introduction to Brain-Computer Interfacing (2007) (176)
SIFT Implementation and Optimization for General-Purpose GPU (2007) (172)
A lower limb exoskeleton control system based on steady state visual evoked potentials (2015) (170)
A regularized discriminative framework for EEG analysis with application to brain–computer interface (2010) (168)
Transferring Subspaces Between Subjects in Brain--Computer Interfacing (2012) (165)
Unmixing Hyperspectral Data (1999) (161)
Exploring chemical compound space with quantum-based machine learning (2019) (161)
Co-adaptive calibration to improve BCI efficiency (2011) (161)
Toward Brain-Computer Interfacing (Neural Information Processing) (2007) (157)
A New Discriminative Kernel from Probabilistic Models (2001) (155)
Kernel-Based Nonlinear Blind Source Separation (2003) (149)
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems (2021) (148)
THE BERLIN BRAIN-COMPUTER INTERFACE PRESENTS THE NOVEL MENTAL TYPEWRITER HEX-O-SPELL (2006) (145)
Artifact reduction in magnetoneurography based on time-delayed second-order correlations (2000) (144)
A novel mechanism for evoked responses in the human brain (2007) (141)
Playing Pinball with non-invasive BCI (2008) (141)
Combining sparsity and rotational invariance in EEG/MEG source reconstruction (2008) (139)
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication (2018) (138)
On Relevant Dimensions in Kernel Feature Spaces (2008) (132)
Evaluation Criteria for BCI Research (2007) (132)
Kernel PCA pattern reconstruction via approximate pre-images. (1998) (132)
Explainable artificial intelligence (2017) (132)
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals (2018) (130)
Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (2015) (129)
Toward a Direct Measure of Video Quality Perception Using EEG (2012) (128)
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States (2006) (128)
Understanding Machine-learned Density Functionals (2014) (124)
sGDML: Constructing accurate and data efficient molecular force fields using machine learning (2018) (124)
Asymptotically Optimal Choice of ε-Loss for Support Vector Machines (1998) (124)
Layer-Wise Relevance Propagation for Deep Neural Network Architectures (2016) (123)
Increase Information Transfer Rates in BCI by CSP Extension to Multi-class (2003) (121)
Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines (2004) (120)
Learning Invariant Representations of Molecules for Atomization Energy Prediction (2012) (117)
Kernel Analysis of Deep Networks (2011) (116)
A resampling approach to estimate the stability of one-dimensional or multidimensional independent components (2002) (115)
Toward noninvasive brain-computer interfaces (2006) (114)
Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics (1996) (112)
A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface (2007) (112)
Quantum chemical accuracy from density functional approximations via machine learning (2019) (111)
Understanding and Comparing Deep Neural Networks for Age and Gender Classification (2017) (110)
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters (2014) (109)
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG (2009) (108)
Feature Discovery in Non-Metric Pairwise Data (2004) (107)
General cost functions for support vector regression. (1998) (105)
Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning. (2018) (105)
Classification on proximity data with LP-machines (1999) (104)
M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring (2017) (104)
Predicting BCI performance to study BCI illiteracy (2009) (103)
Wasserstein Training of Restricted Boltzmann Machines (2016) (103)
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods (2019) (102)
From outliers to prototypes: Ordering data (2006) (102)
The LRP Toolbox for Artificial Neural Networks (2016) (100)
Temporal kernel CCA and its application in multimodal neuronal data analysis (2010) (100)
Large-scale EEG/MEG source localization with spatial flexibility (2011) (99)
Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces (2009) (99)
Effect of higher frequency on the classification of steady-state visual evoked potentials (2016) (99)
Explaining Predictions of Non-Linear Classifiers in NLP (2016) (98)
Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller (2014) (96)
Explainable ai – preface (2019) (96)
Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset (2018) (95)
Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning (2019) (94)
Investigating the influence of noise and distractors on the interpretation of neural networks (2016) (94)
Orbital-free bond breaking via machine learning. (2013) (93)
Explaining the unique nature of individual gait patterns with deep learning (2018) (91)
Open Access Dataset for EEG+NIRS Single-Trial Classification (2017) (90)
Optimizing transition states via kernel-based machine learning. (2012) (87)
Adaptive On-line Learning in Changing Environments (1996) (87)
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning (2006) (87)
Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals (2015) (83)
Spatial Filtering for Robust Myoelectric Control (2012) (83)
True Zero-Training Brain-Computer Interfacing – An Online Study (2014) (83)
An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels (2017) (82)
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces (2015) (82)
Deep Boltzmann Machines and the Centering Trick (2012) (82)
Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces (2018) (81)
In Search of Non-Gaussian Components of a High-Dimensional Distribution (2006) (80)
Combining Features for BCI (2002) (80)
Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution (2014) (80)
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation (2003) (79)
An Efficient ERP-Based Brain-Computer Interface Using Random Set Presentation and Face Familiarity (2014) (78)
Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases (2019) (78)
Classifying 'Drug-likeness' with Kernel-Based Learning Methods (2005) (77)
SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects (2021) (77)
Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? (1995) (77)
New Methods for Splice Site Recognition (2002) (77)
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data (2015) (77)
Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans (2000) (76)
Logistic Regression for Single Trial EEG Classification (2006) (76)
Going Metric: Denoising Pairwise Data (2002) (75)
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond (2020) (73)
Comparison of Granger Causality and Phase Slope Index (2008) (72)
Enhancing the signal-to-noise ratio of ICA-based extracted ERPs (2006) (72)
Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces. (2019) (72)
On Optimal Channel Configurations for SMR-based Brain–Computer Interfaces (2010) (72)
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach (2006) (71)
Berlin Brain-Computer Interface - The HCI communication channel for discovery (2007) (69)
Optimizing spatio-temporal filters for improving Brain-Computer Interfacing (2005) (68)
Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA. (2010) (68)
PatternNet and PatternLRP - Improving the interpretability of neural networks (2017) (68)
Robust Ensemble Learning (2000) (67)
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models (2018) (67)
On-line learning in changing environments with applications in supervised and unsupervised learning (2002) (66)
Measuring phase synchronization of superimposed signals. (2005) (66)
On the information and representation of non-Euclidean pairwise data (2006) (65)
Many-Body Descriptors for Predicting Molecular Properties with Machine Learning: Analysis of Pairwise and Three-Body Interactions in Molecules. (2018) (65)
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach (2007) (65)
Evaluating Recurrent Neural Network Explanations (2019) (64)
Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters (2014) (63)
Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience (2010) (63)
Morphological and molecular breast cancer profiling through explainable machine learning (2021) (62)
An Improvement of AdaBoost to Avoid Overfitting (1998) (61)
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models (2018) (60)
Asymptotically unbiased estimation of physical observables with neural samplers. (2020) (59)
On the Byzantine Robustness of Clustered Federated Learning (2020) (59)
Subject independent EEG-based BCI decoding (2009) (59)
A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity (2019) (59)
Feature Extraction for One-Class Classification (2003) (58)
Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic (2016) (57)
EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs) (2015) (57)
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks (1996) (56)
Identification of nonstationary dynamics in physiological recordings (2000) (56)
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology (2020) (56)
Regularizing AdaBoost (1998) (55)
The Berlin Brain-Computer Interface (2008) (54)
Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis (2019) (54)
Optimal dyadic decision trees (2007) (54)
A consistency-based model selection for one-class classification (2004) (54)
Finding brain oscillations with power dependencies in neuroimaging data (2014) (53)
On Taxonomies for Multi-class Image Categorization (2012) (53)
Inverse design of 3d molecular structures with conditional generative neural networks (2021) (52)
Adaptive Methods in BCI Research - An Introductory Tutorial (2009) (52)
Explaining and Interpreting LSTMs (2019) (51)
Fairwashing Explanations with Off-Manifold Detergent (2020) (51)
What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis (2018) (51)
A Self-learning System for Detection of Anomalous SIP Messages (2008) (50)
Blind Source Separation Techniques for Decomposing Event-Related Brain Signals (2004) (50)
ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI (2011) (50)
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules (2007) (49)
EEG-based BCI for the linear control of an upper-limb neuroprosthesis. (2016) (48)
Identifying interactions in mixed and noisy complex systems. (2006) (48)
Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies (2016) (48)
Approximate Joint Diagonalization Using a Natural Gradient Approach (2004) (48)
Robust Spatial Filtering with Beta Divergence (2013) (47)
Ensembles of adaptive spatial filters increase BCI performance: an online evaluation (2016) (47)
General Signal Processing and Machine Learning Tools for BCI Analysis (2007) (47)
From Machine Learning to Natural Product Derivatives that Selectively Activate Transcription Factor PPARγ (2010) (47)
CSP patches: an ensemble of optimized spatial filters. An evaluation study (2011) (46)
Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis (2011) (45)
Compact and Computationally Efficient Representation of Deep Neural Networks (2018) (45)
Localizing and Estimating Causal Relations of Interacting Brain Rhythms (2010) (45)
From Clustering to Cluster Explanations via Neural Networks (2019) (44)
Sparse Causal Discovery in Multivariate Time Series (2008) (44)
Single-trial analysis of the neural correlates of speech quality perception (2013) (43)
Validity of Time Reversal for Testing Granger Causality (2015) (43)
Capturing intensive and extensive DFT/TDDFT molecular properties with machine learning (2018) (43)
Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing (2017) (43)
Barrier Boosting (2000) (42)
Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees (2017) (42)
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models (2019) (41)
Visualization of anomaly detection using prediction sensitivity (2005) (41)
Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment (2013) (40)
Analysis of switching dynamics with competing neural networks (1995) (40)
The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis (2016) (40)
Clustering with the Fisher Score (2002) (39)
Ensemble learning of coarse-grained molecular dynamics force fields with a kernel approach. (2020) (39)
Brain-Computer Interfaces [from the guest editors] (2008) (39)
Stereoscopic depth increases intersubject correlations of brain networks (2014) (39)
Nonlinear blind source separation using kernel feature spaces (2001) (38)
Integration of Multivariate Data Streams With Bandpower Signals (2013) (38)
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization (2009) (37)
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation (2016) (37)
Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography (2014) (36)
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers (2001) (35)
Simultaneous and proportional control of 2D wrist movements with myoelectric signals (2012) (35)
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions (2020) (35)
A mathematical model for the two-learners problem (2017) (34)
Asymptotic Properties of the Fisher Kernel (2004) (34)
Feature Importance Measure for Non-linear Learning Algorithms (2016) (34)
Unsupervised adaptation of the LDA classifier for Brain-Computer interfaces (2008) (34)
A Probabilistic Approach to Classifying Metabolic Stability (2008) (34)
Asymptotic Bayesian generalization error when training and test distributions are different (2007) (32)
Separation of post-nonlinear mixtures using ACE and temporal decorrelation (2001) (32)
Evaluation of a Compact Hybrid Brain-Computer Interface System (2017) (32)
Kernel Feature Spaces and Nonlinear Blind Souce Separation (2001) (32)
Brain-Computer Interfacing for multimedia quality assessment (2016) (32)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities (2021) (32)
Artificial Intelligence and Pathology: from Principles to Practice and Future Applications in Histomorphology and Molecular Profiling. (2021) (31)
Approximate Tree Kernels (2010) (31)
StructRank: A New Approach for Ligand-Based Virtual Screening (2011) (31)
Building and Interpreting Deep Similarity Models (2020) (31)
A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy (2019) (31)
Identifying Individual Facial Expressions by Deconstructing a Neural Network (2016) (30)
Machine Learning Meets Quantum Physics (2020) (30)
Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation (2003) (30)
Model Selection Under Covariate Shift (2005) (30)
Estimating Functions for Blind Separation When Sources Have Variance Dependencies (2004) (30)
Automating the search for a patent’s prior art with a full text similarity search (2019) (30)
Robustifying EEG data analysis by removing outliers (2009) (30)
Towards Robust Explanations for Deep Neural Networks (2020) (30)
The effect of linear mixing in the EEG on Hurst exponent estimation (2014) (29)
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks (2020) (29)
N-ary decomposition for multi-class classification (2019) (28)
Adaptation in Brain-Computer Interfaces (2007) (28)
Hidden Markov mixtures of experts with an application to EEG recordings from sleep (1999) (28)
Support Vector Data Descriptions and $k$ -Means Clustering: One Class? (2018) (28)
Machine Learning and Applications for Brain-Computer Interfacing (2007) (27)
Channel selection for simultaneous and proportional myoelectric prosthesis control of multiple degrees-of-freedom (2014) (27)
Autonomous robotic nanofabrication with reinforcement learning (2020) (27)
The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task (2011) (27)
Robust common spatial filters with a maxmin approach. (2009) (27)
Quantum-chemical insights from interpretable atomistic neural networks (2018) (27)
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy (2021) (27)
BCI2000: A General-Purpose Software Platform for BCI (2007) (27)
A new algorithm of non-Gaussian component analysis with radial kernel functions (2007) (27)
Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition (2018) (27)
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles (2018) (26)
Brain-Computer Interfaces for Communication and Motor Control—Perspectives on Clinical Applications (2007) (26)
Distributed functions of detection and discrimination of vibrotactile stimuli in the hierarchical human somatosensory system (2015) (26)
Interpretable human action recognition in compressed domain (2017) (26)
Brain-computer interfacing in discriminative and stationary subspaces (2012) (26)
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop (1998) (26)
Machine learning of solvent effects on molecular spectra and reactions (2020) (26)
Predicting Lipophilicity of Drug‐Discovery Molecules using Gaussian Process Models (2007) (26)
Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation (2019) (26)
Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression (2004) (25)
Layer-wise analysis of deep networks with Gaussian kernels (2010) (25)
Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol (2017) (25)
Estimating vector fields using sparse basis field expansions (2008) (25)
Optimizing Spectral Filters for Single Trial EEG Classification (2006) (25)
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements (2020) (25)
Generalization Error Estimation under Covariate Shift (2005) (25)
Nonlinear gradient denoising: Finding accurate extrema from inaccurate functional derivatives (2015) (25)
Machine learning models for lipophilicity and their domain of applicability. (2007) (25)
The effect of cold priming on the fitness of Arabidopsis thaliana accessions under natural and controlled conditions (2017) (24)
Robust Common Spatial Filters with a Maxmin Approach (2014) (24)
An Iterative Algorithm for Spatio-Temporal Filter Optimization (2006) (24)
Noise robust estimates of correlation dimension and K2 entropy. (2001) (24)
Robust Ensemble Learning for Data Mining (2000) (24)
Objective quality assessment of stereoscopic images with vertical disparity using EEG (2017) (24)
Asymptotically optimal choice of varepsilon-loss for support vector machines. (1998) (24)
Importance-Weighted Cross-Validation for Covariate Shift (2006) (23)
Recent advances in brain-machine interfaces (2009) (23)
Neural network-based full-reference image quality assessment (2016) (23)
Neurally informed assessment of perceived natural texture image quality (2014) (22)
Multiscale temporal neural dynamics predict performance in a complex sensorimotor task (2016) (22)
Identifying Granger causal relationships between neural power dynamics and variables of interest (2015) (22)
Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data (2019) (22)
Enhanced representation and multi-task learning for image annotation (2013) (22)
Brain-Switches for Asynchronous Brain–Computer Interfaces: A Systematic Review (2020) (22)
The Berlin Brain-Computer Interface: Report from the Feedback Sessions (2005) (22)
Estimating Noise and Dimensionality in BCI Data Sets : Towards Illiteracy Comprehension (2008) (22)
Injecting noise for analysing the stability of ICA components (2004) (22)
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions (2012) (22)
Robustifying models against adversarial attacks by Langevin dynamics (2018) (22)
An asymptotic analysis of AdaBoost in the binary classification case (1998) (22)
Advances in neural information processing systems : proceedings of the ... conference (1989) (22)
Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature (2020) (22)
Controlling explanatory heatmap resolution and semantics via decomposition depth (2016) (21)
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (2003) (21)
Interpretable LSTMs For Whole-Brain Neuroimaging Analyses (2018) (21)
Decoding of top-down cognitive processing for SSVEP-controlled BMI (2016) (21)
Improving BCI performance by task-related trial pruning (2009) (21)
Covariance shrinkage for autocorrelated data (2014) (20)
Revealing the neural response to imperceptible peripheral flicker with machine learning (2011) (20)
Improving zero-training brain-computer interfaces by mixing model estimators (2017) (20)
Deep Transfer Learning For Whole-Brain fMRI Analyses (2019) (20)
BioSig: An Open-Source Software Library for BCI Research (2007) (20)
Detecting Mental States by Machine Learning Techniques: The Berlin Brain-Computer Interface (2009) (20)
Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields. (2020) (20)
Entropy-Constrained Training of Deep Neural Networks (2018) (19)
The Berlin Brain-Computer Interface ( BBCI ) towards a new communication channel for online control of multimedia applications and computer games (2003) (19)
Understanding Patch-Based Learning of Video Data by Explaining Predictions (2019) (19)
THE BERLIN BRAIN-COMPUTER INTERFACE FOR RAPID RESPONSE (2004) (19)
Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials (2015) (19)
Brain–computer interfacing under distraction: an evaluation study (2016) (19)
Multiple Kernel Learning for Object Classification (2009) (19)
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs (2014) (19)
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels (2006) (18)
Deep Boltzmann Machines as Feed-Forward Hierarchies (2012) (18)
Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy (2010) (18)
Neuromuscular electrical stimulation induced brain patterns to decode motor imagery (2013) (18)
Robust ICA for Super-Gaussian Sources (2004) (18)
Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment (2015) (18)
Learning and Evaluation in Presence of Non-i.i.d. Label Noise (2014) (18)
Wasserstein Training of Boltzmann Machines (2015) (18)
The Stationary Subspace Analysis Toolbox (2011) (17)
A comparison of ICA-based artifact reduction methods for MEG (2000) (17)
Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed (2019) (17)
Mammography Image Quality Assurance Using Deep Learning (2020) (17)
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network (2019) (17)
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures (2013) (17)
Convex Cost Functions for Support Vector Regression (1998) (17)
Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier] (2018) (17)
Estimating the Reliability of ICA Projections (2001) (17)
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules (2007) (16)
Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers (2018) (16)
Denoising and Dimension Reduction in Feature Space (2006) (16)
Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses (2018) (16)
Reinforcement learning for video encoder control in HEVC (2017) (15)
Stationary Subspace Analysis (2009) (15)
BIGDML—Towards accurate quantum machine learning force fields for materials (2021) (15)
v-Arc: Ensemble Learning in the Presence of Outliers (1999) (15)
Language Detection For Short Text Messages In Social Media (2016) (15)
Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms (2015) (15)
DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies (2020) (14)
Analyzing neuroimaging data with subclasses: A shrinkage approach (2016) (14)
Extracting latent brain states — Towards true labels in cognitive neuroscience experiments (2015) (14)
Leaf-inspired homeostatic cellulose biosensors (2021) (14)
Investigating effects of different artefact types on motor imagery BCI (2015) (14)
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction (2005) (14)
Classifying directions in continuous arm movement from EEG signals (2015) (14)
Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance (2020) (14)
The IDIAP Brain-Computer Interface: An Asynchronous Multiclass Approach (2007) (14)
Basis profile curve identification to understand electrical stimulation effects in human brain networks (2021) (13)
BCI Applications for the General Population (2012) (13)
Graz-Brain-Computer Interface: State of Research (2007) (13)
Porosity estimation by semi-supervised learning with sparsely available labeled samples (2017) (13)
Inducing Metric Violations in Human Similarity Judgements (2006) (13)
XAI for Transformers: Better Explanations through Conservative Propagation (2022) (13)
Algebraic Geometric Comparison of Probability Distributions (2011) (13)
An Empirical Study on The Properties of Random Bases for Kernel Methods (2017) (13)
Enhanced Performance of a Brain Switch by Simultaneous Use of EEG and NIRS Data for Asynchronous Brain-Computer Interface (2020) (13)
Kernels, Pre-images and Optimization (2013) (13)
Spatio-Spectral Filters for Robust Classification of Single Trial EEG (13)
Toward exoskeleton control based on steady state visual evoked potentials (2014) (13)
Insights from Classifying Visual Concepts with Multiple Kernel Learning (2011) (12)
Learning Feature Hierarchies with Centered Deep Boltzmann Machines (2012) (12)
Structuring Neural Networks for More Explainable Predictions (2018) (12)
Uniqueness of Non-Gaussianity-Based Dimension Reduction (2011) (12)
Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors (2002) (12)
Inlier‐based ICA with an application to superimposed images (2005) (12)
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework (2020) (12)
On robust parameter estimation in brain–computer interfacing (2017) (12)
On-line learning in switching and drifting environments with application to blind source separation (1999) (12)
Interaction Potentials in Molecules and Non-Local Information in Chemical Space (2014) (12)
Special Issue on Advances in Kernel-Based Learning for Signal Processing (2013) (12)
On the Interpretability of Linear Multivariate Neuroimaging Analyses : Filters , Patterns and their Relationship (2012) (12)
Analysis of Drifting Dynamics with Neural Network Hidden Markov Models (1997) (12)
Three-Way Analysis of Spectrospatial Electromyography Data: Classification and Interpretation (2015) (12)
Classification of Time-Embedded EEG Using Short-Time Principal Component Analysis (2007) (11)
Machine Learning for Intrusion Detection (2007) (11)
A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines (2012) (11)
Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors] (2013) (11)
Securing IMS against novel threats (2009) (11)
Automated ocular artifact removal: comparing regression and component-based methods (2009) (11)
Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence (2015) (11)
Learning invariances with Stationary Subspace Analysis (2009) (11)
Multiple Kernel Learning for Brain-Computer Interfacing (2013) (11)
The need for novel informatics tools for integrating and planning research in molecular and cellular cognition (2015) (11)
Fast change point detection in switching dynamics using a hidden Markov model of prediction experts (1999) (11)
Wasserstein Stationary Subspace Analysis (2018) (11)
Learning representations of molecules and materials with atomistic neural networks (2018) (11)
Using Rest Class and Control Paradigms for Brain Computer Interfacing (2009) (11)
Explaining Bayesian Neural Networks (2021) (11)
Toward Explainable AI for Regression Models (2021) (10)
Truxillic acid derivatives act as peroxisome proliferator-activated receptor gamma activators. (2010) (10)
Regression for sets of polynomial equations (2011) (10)
Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective (2007) (10)
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder (2018) (10)
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective (2022) (10)
SVM2Motif—Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor (2015) (10)
Exploring text datasets by visualizing relevant words (2017) (10)
Machine-Learning Based Co-adaptive Calibration : Towards a Cure for BCI illiteracy (2010) (10)
Covariate shift adaptation in EMG pattern recognition for prosthetic device control (2014) (10)
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images (2020) (10)
Minimizing Trust Leaks for Robust Sybil Detection (2017) (10)
Common Spatial Pattern Patches: Online evaluation on BCI-naive users (2012) (10)
Eyes-closed hybrid brain-computer interface employing frontal brain activation (2018) (10)
Accurate Maximum-Margin Training for Parsing With Context-Free Grammars (2017) (9)
Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets (2019) (9)
A note on the Berlin Brain-Computer Interface (2006) (9)
Information geometry meets BCI spatial filtering using divergences (2014) (9)
Robust Statistical Detection of Power-Law Cross-Correlation (2016) (9)
First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface (2012) (9)
Tackling noise, artifacts and nonstationarity in BCI with robust divergences (2015) (8)
Accurate global machine learning force fields for molecules with hundreds of atoms (2022) (8)
A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification (2009) (8)
Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine Learning (2011) (8)
A public dataset of overground walking kinetics and full-body kinematics in healthy adult individuals (2019) (8)
Mean shrinkage improves the classification of ERP signals by exploiting additional label information (2014) (8)
Recent Progress in Brain and Cognitive Engineering (2015) (8)
Directional Variance Adjustment: Bias Reduction in Covariance Matrices Based on Factor Analysis with an Application to Portfolio Optimization (2013) (8)
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? (2016) (8)
Explaining the Predictions of Unsupervised Learning Models (2020) (8)
2020 International brain–computer interface competition: A review (2022) (8)
Machine learning methods of the Berlin brain-computer interface (2015) (8)
Predicting Pairwise Relations with Neural Similarity Encoders (2017) (7)
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling (2018) (7)
ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines (2017) (7)
Brain Interface Design for Asynchronous Control (2007) (7)
A benchmark data set for in silico prediction of ames mutagenicity (2009) (7)
Analyzing and Validating Neural Networks Predictions (2016) (7)
Full-Reference Image Quality Assessment Using Neural Networks (2016) (7)
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities (2007) (7)
Ruppet al.Reply (2012) (6)
Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware (2017) (6)
Channel selection for simultaneous myoelectric prosthesis control (2014) (6)
N-ary Error Correcting Coding Scheme (2016) (6)
Evaluating deep transfer learning for whole-brain cognitive decoding (2021) (6)
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning (2014) (6)
The Importance of Online Error Correction and Feed-Forward Adjustments in Brain-Machine Interfaces for Restoration of Movement (2007) (6)
Transductive Regression for Data With Latent Dependence Structure (2018) (6)
Multimodal integration of electrophysiological and hemodynamic signals (2014) (6)
Prediction of Mixtures (1996) (6)
Towards the Interpretability of Deep Learning Models for Human Neuroimaging (2021) (5)
Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise (2008) (5)
Forecasting Industrial Aging Processes with Machine Learning Methods (2020) (5)
ℓ1-Penalized Linear Mixed-Effects Models for BCI (2011) (5)
LARGE SCALE SIMULATIONS FOR LEARNING CURVES (5)
A better metric in kernel adaptive filtering (2016) (5)
Analysis of Wake/Sleep EEG with Competing Experts (1997) (5)
Better Representations: Invariant, Disentangled and Reusable (2012) (5)
Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning (2013) (5)
Machine Learning for Visual Concept Recognition and Ranking for Images (2014) (5)
A Model Selection Method Based on Bound of Learning Coefficient (2006) (5)
xxAI - Beyond Explainable Artificial Intelligence (2020) (5)
DNA methylation-based classification of sinonasal tumors (2022) (5)
Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction (2005) (5)
Common Spatial Pattern Patches-an Optimized Filter Ensemble for Adaptive BCIs (2011) (5)
Understanding Patch-Based Learning by Explaining Predictions (2018) (5)
Stopping conditions for exact computation of leave-one-out error in support vector machines (2008) (5)
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. (2020) (5)
Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data (2021) (4)
Brain state differences between calibration and application periods influence BCI classification accuracy (2006) (4)
Machine Learning and Big Data (2020) (4)
Machine learning models predict the primary sites of head and neck squamous cell carcinoma metastases based on DNA methylation (2021) (4)
Headgear for Mobile Neurotechnology: looking into Alternatives for EEG and NIRS probes (2017) (4)
The Influence of Preceding Movements on Motor Cortical Activity in Finger-Tapping (2004) (4)
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models (2021) (4)
Proceedings of the 12th International Conference on Neural Information Processing Systems (1999) (4)
Efficient Exact Inference With Loss Augmented Objective in Structured Learning (2017) (4)
Brain-Computer Interfaces and Visual Activity (2011) (4)
1 Efficient BackProp (2012) (4)
Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online Studies (2010) (4)
Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis (2006) (4)
Multimodal imaging technique for rapid response brain-computer interface feedback (2013) (4)
Discovering topics in text datasets by visualizing relevant words (2017) (4)
Electroencephalography/sonication-mediated human brain-brain interfacing technology. (2014) (4)
Electrocorticogram as a Brain-Computer Interface Signal Source (2007) (4)
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields (2022) (4)
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain (2022) (4)
Reply to Comment on "Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning" (2012) (4)
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling (2019) (4)
Probabilistically Modeling and Decoding Neural Population Activity in Motor Cortex (2007) (4)
High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks (2022) (4)
Single-Trial Analysis of EEG during Rapid Visual Discrimination: Enabling Cortically Coupled Computer Vision (2007) (4)
Big Learning and Deep Neural Networks (2012) (3)
Hidden Markov gating for prediction of change points in switching dynamical systems (1999) (3)
XAI for Analyzing and Unlearning Spurious Correlations in ImageNet (2020) (3)
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems (2022) (3)
Towards exact molecular dynamics simulations with machine-learned force fields (2018) (3)
Learning with Algebraic Invariances, and the Invariant Kernel Trick (2014) (3)
The Plurality of Human Brain-Computer Interfacing [Scanning the Issue] (2015) (3)
Explorative data analysis for changes in neural activity (2013) (3)
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces (2022) (3)
Defense Against Adversarial Attacks by Langevin Dynamics (2019) (3)
Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectr (2013) (3)
Heterogeneous Component Analysis (2007) (3)
EEG-Based Assessment of Perceived Realness in Stylized Face Images (2020) (3)
Block adaptive selection of multiple core transforms for video coding (2016) (3)
A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation (2019) (3)
Open access repository for hybrid EEG-NIRS data (2018) (3)
Scrutinizing XAI using linear ground-truth data with suppressor variables (2021) (3)
Modeling Molecular Spectra with Interpretable Atomistic Neural Networks (2019) (3)
Patient-level proteomic network prediction by explainable artificial intelligence (2022) (3)
Data-driven multisubject neuroimaging analyses for naturalistic stimuli (2014) (3)
Machine learning for BCI: towards analysing cognition (2016) (2)
Asymptotically Unbiased Generative Neural Sampling (2019) (2)
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization (2021) (2)
An asymptotical Analysis and Improvement of AdaBoost in the binary classification case (2000) (2)
Analysing ICA component by injection noise (2003) (2)
Alternative CSP approaches for multimodal distributed BCI data (2016) (2)
So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales (2022) (2)
Learning similarity preserving representations with neural similarity encoders (2017) (2)
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance (2019) (2)
New definitions of human lymphoid and follicular cell entities in lymphatic tissue by machine learning (2022) (2)
Dynamics of supervised learning with restricted training sets and noisy teachers (2000) (2)
Automatic Identification of Chemical Moieties (2022) (2)
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning (2022) (2)
Higher order stationary subspace analysis (2016) (2)
Shifting stimuli for brain computer interface based on rapid serial visual presentation (2017) (2)
Data Set A is a Pattern Matching Problem (1998) (2)
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs (2017) (2)
Kernel learning for ligand-based virtual screening: discovery of a new PPARγ agonist (2010) (2)
Regularization Techniques to Improve Generalization (2012) (2)
A fast algorithm for joint diagonalization with application to blind source separation – BLISS Technical Report ∗ – (2003) (2)
Object Boundary Detection and Classification with Image-Level Labels (2016) (2)
Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information (2015) (2)
Kernel Methods for Quantum Chemistry (2020) (2)
Neural Networks for Computational Chemistry: Pitfalls and Recommendations (2013) (2)
Blind decomposition of multimodal evoked responses and DC fields (2003) (2)
Quantifying spatiotemporal dynamics of twitter replies to news feeds (2012) (2)
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance (2020) (2)
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces (2002) (2)
Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI (2020) (1)
Decoding cognitive brain states (2013) (1)
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations (2014) (1)
Investigating the relationship between pharmacological MRI and electrophysiology using Canonical Correlation Analysis (2008) (1)
Faculty Opinions recommendation of EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy. (2019) (1)
Tight Bound of Incremental Cover Trees for Dynamic Diversification (2018) (1)
Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface (2014) (1)
Learning similarity preserving representations with neural similarity and context encoders (2016) (1)
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence (2022) (1)
Neuronal correlates of emotions in human-machine interaction (2009) (1)
Efficient prediction of 3 D electron densities using machine learning (2018) (1)
Meta Learning : Learning to Predict the Leave – one – out Error (2007) (1)
Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information (2011) (1)
The P300 BCI: on its Way to End-Users? (2017) (1)
The Berlin Brain-Computer Interface – Single trial classifications of phantom finger movements of arm amputees (2004) (1)
Sharing hash codes for multiple purposes (2016) (1)
Proceedings of the 28th conference on Pattern Recognition (2006) (1)
On-line Differentiation Of Neuroelectric Activities: Algorithms And applications (2006) (1)
EEG-Based Assessment of Perceived Quality in Complex Natural Images (2020) (1)
PREDICTION OF FINANCIAL DATA WITH HIDDEN MARKOV MIXTURES OF EXPERTS (2000) (1)
Modeling of molecular atomization energies using machine learning (2012) (1)
Explaining the Decisions of Convolutional and Recurrent Neural Networks (2021) (1)
Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology (2009) (1)
A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces (2006) (1)
Molecular Force Fields with Gradient-Domain Machine Learning: Dynamics of Small Molecules with Coupled Cluster Forces (2019) (1)
Using Reduce for Replica Calculations (1993) (1)
Combining BCI and Virtual Reality: Scouting Virtual Worlds (2007) (1)
Machine learning and BCI (2015) (1)
Unsupervised learning for brain–computer interfaces based on event-related potentials (2018) (1)
Optimizing for Measure of Performance in Max-Margin Parsing (2017) (1)
Virtual screening for PPAR-gamma ligands using the ISOAK molecular graph kernel and gaussian processes (2009) (1)
Analysis of Drifting Dynamics with Competing Predictors (1996) (1)
New Inference Concepts for Analysing Complex Data (2004) (1)
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution (2019) (1)
Noninvasive Estimates of Local Field Potentials for Brain-Computer Interfaces (2007) (1)
Editorial IEEE Brain Initiative Special issue on BMI/BCI Systems (2017) (1)
A new scatter-based multi-class support vector machine (2011) (1)
LRP Toolbox for Artificial Neural Networks 1.2.0 – Manual (2016) (1)
Pattern Recognition, 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings (2006) (1)
Diffeomorphic Counterfactuals with Generative Models (2022) (1)
Hybrid EEG-NIRS brain-computer interface under eyes-closed condition (2017) (1)
Zero Training for BCI – Reality for BCI Systems Based on Event-Related Potentials (2013) (1)
Energies with Machine Learning” (2014) (1)
Classification of structured validation data using stateless and stateful features (2019) (1)
DORA: Exploring outlier representations in Deep Neural Networks (2022) (1)
Invasive BCI Approaches (2007) (1)
An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices (2012) (1)
Tricks for Time Series (2012) (0)
C V ] 16 D ec 2 01 1 Insights from Classifying Visual Concepts with Multiple Kern l Learning (2021) (0)
Tutorial on multimodal neuroimaging for brain-computer interfacing (2013) (0)
BRAIN-COMPUTER INTERFACES TRANSLATE BRAIN SIGNALS INTO CONTROL COMMANDS. (2006) (0)
On Taxonomies for Multi-class Image Categorization (2011) (0)
Addressing the Elephant in the Room: Uncertainties in Physical Predictions From Machine-Learned Force Fields (2020) (0)
Robust Spatial Filtering with Beta Divergence Supplemental Material (2013) (0)
From measurement to machine learning: Towards analysing cognition (2017) (0)
A Minimax Approach to Optimize Spatial Filters for EEG Single-Trial Classification (2009) (0)
The effect of a serotonine agonist on neural activity and BOLD activity in monkey primary visual cortex, a pharmacological fMRI (PhMRI) study (2008) (0)
DeepLight: A Structured Framework For The Analysis of Neuroimaging Data Through Recurrent Deep Learning Models (2019) (0)
IMPROVING CLASSIFICATION PERFORMANCE OF A BCI SYSTEM BY SHIFTING RAPID SERIAL VISUAL PRESENTATION (2017) (0)
Interpreting Deep Learning Models for Multi-modal Neuroimaging (2023) (0)
Local Bandwidth Estimation via Mixture of Gaussian Processes (2019) (0)
Scanning the issue: The Plurality of Human BrainYComputer Interfacing (2015) (0)
Das Berliner Brain-Computer Interface (2006) (0)
Learning from label proportions in brain-computer interfaces (2017) (0)
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies (2018) (0)
Explainable Deep Learning for Analysing Brain Data (2019) (0)
Detecting resting-state networks using scalable multi-subject spatial canonical correlation analysis (2016) (0)
Nanotechnology in the Environmental Health Sciences (2005) (0)
IPAM Program on Machine Learning & Many-Particle Systems-Recent Progress and Open Problems (2017) (0)
Automatic Identification of Types of Alterations in Historical Manuscripts (2020) (0)
Representing and Incorporating Prior Knowledge in Neural Network Training: Preface (1996) (0)
Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers (2018) (0)
Faculty Opinions recommendation of A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces. (2018) (0)
Faculty Opinions recommendation of VAMPnets for deep learning of molecular kinetics. (2018) (0)
Machine learning for neurotechnology (2010) (0)
Optimizing Visual Vocabularies for Image Classification (2009) (0)
Deep Learning for Whole-Brain Cognitive Decoding (2022) (0)
Regularization Techniques to Improve Generalization: Preface (1996) (0)
How to iNNvestigate neural networks' predictions! (2018) (0)
Algorithms for on-line differentiation of neuroelectric activities (2006) (0)
When brain and behavior disagree : A novel ML approach for handling systematic label noise in EEG data (2013) (0)
Towards robust machine learning methods for the analysis of brain data (2018) (0)
Multimodal imaging, non-stationarity and BCI (2014) (0)
Speeding Learning (2012) (0)
Neurovascular coupling dynamics in primary visual cortex during spontaneous activity (2009) (0)
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation (2022) (0)
BCI Systems and Approaches (2007) (0)
Towards an enhanced ERP speller based on the visual processing of face familiarity (2014) (0)
Assessing brain effective connectivity from EEG – a simulation study (2012) (0)
Statistics meets Machine Learning (2021) (0)
Algebraic Representation of Probability Distributions (2011) (0)
Multifrequency Analysis of Brain-Computer Interfaces (2015) (0)
United States Patent ( 10 ) Patent No . : US 8 , 160 , 668 B 2 Pav ( 45 ) Date of Patent : Apr . 17 , 2012 ( 54 ) PATHOLOGICAL CONDITION DETECTOR 3 (2017) (0)
Tricks for Time Series: Preface (1996) (0)
Corrigendum: The need for novel informatics tools for integrating and planning research in molecular and cellular cognition. (2016) (0)
Science Journals — AAAS (2020) (0)
Pitfalls in EEG-Based Brain Effective Connectivity Analysis (2011) (0)
Slow Feature Analysis as a Potential Preprocessing Tool in BCI (2011) (0)
How to iNNvestigate neural network’s predictions! (2018) (0)
Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? (2016) (0)
A kernel-based statistical analysis of the residual error in video coding (2015) (0)
Improving Network Models and Algorithmic Tricks (2012) (0)
How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis (2018) (0)
Pattern Recognition (vol. # 4174) : 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings (2006) (0)
Joint Hierarchical Bayesian Learning of Full-structure Noise for Brain Source Imaging (2020) (0)
Spatio-Temporal Coupling between Neural Activity and Bold Response in Primary Visual Cortex (2010) (0)
Unsupervised Decomposition Methods for Analysis of Multimodal Neural Data (2013) (0)
Speeding Learning: Preface (1996) (0)
Identifying Dynamical Systems for Forecasting and Control (2012) (0)
Deep Recurrent Brain Source Imaging (2019) (0)
N-ary decomposition for multi-class classification (2019) (0)
Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization (2011) (0)
Editorial (2004) (0)
Improving Network Models and Algorithmic Tricks: Preface (1996) (0)
Rotation Invariant Clustering of 3D Cell Nuclei Shapes * (2019) (0)
Accurate and Data-Efficient Machine Learning Force Fields for Periodic Systems (2020) (0)
Comparison of Mass-Univariate, Unimodal and Multivariate Multimodal Analysis Methods for Neurovascular Coupling Analysis (2010) (0)
Toward improved covert attention application using shifting stimuli (2016) (0)
Informed Universal Differential Equations for Symbolic Identification of Parasitic Effects on a real Cart-pole System (2021) (0)
Single-cell gene regulatory network prediction by explainable AI (2023) (0)
Automated Dissipation Control for Turbulence Simulation with Shell Models (2022) (0)
Efficient Higher-order Subgraph Attribution via Message Passing (2022) (0)
Explaining the unique nature of individual gait patterns with deep learning (2019) (0)
Bypassing the equations with machine learning. (2017) (0)
To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy (2022) (0)
Regularizing generalization error estimators: a novel approach to robust model selection (2004) (0)
Learning Non-Sparse Kernel Mixtures (2009) (0)
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing (2022) (0)
Capturing intensive and extensive DFT/TDDFT molecular properties with machine learning (2018) (0)
Features spaces and a learning system for structural-temporal data, and their application on a use case of real-time communication network validation data (2020) (0)
Non-separable spatiotemporal deconvolutions improve decoding of neural activity from fMRI signals (2011) (0)
Mark My Words: Dangers of Watermarked Images in ImageNet (2023) (0)
Unmasking Clever Hans predictors and assessing what machines really learn (2019) (0)
Sharing hash codes for multiple purposes (2018) (0)
Towards transparent and robust data-driven wind turbine power curve models (2023) (0)
[Artificial intelligence: a solution for the lack of pathologists?] (2022) (0)
Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli (2017) (0)
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks (2023) (0)
A standing molecule as a coherent single-electron field emitter (2021) (0)
Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature (2021) (0)
Predicting Error Bars for QSAR Models (2007) (0)
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods (2020) (0)
Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights (2022) (0)
Bypassing the Kohn-Sham equations with machine learning (2017) (0)
BIGDML—Towards accurate quantum machine learning force fields for materials (2022) (0)
Estimating Local Function Complexity via Mixture of Gaussian Processes (2019) (0)
Splice Form Prediction using Machine Learning (2006) (0)
Abstract Submitted for the MAR17 Meeting of The American Physical Society Quantum-Chemical Insights from Deep Tensor Neural Networks1 (2017) (0)

This paper list is powered by the following services:

Other Resources About Klaus-Robert Müller

What Schools Are Affiliated With Klaus-Robert Müller?

Klaus-Robert Müller is affiliated with the following schools:

Klaus-Robert Müller's Academic­Influence.com Rankings

Klaus-Robert Müller's Degrees

Similar Degrees You Can Earn

Why Is Klaus-Robert Müller Influential?

Klaus-Robert Müller's Published Works

Published Works

Other Resources About Klaus-Robert Müller

What Schools Are Affiliated With Klaus-Robert Müller?

Klaus-Robert Müller's AcademicInfluence.com Rankings