Klaus-Robert Müller

Simon M. Hofmann

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.

[BibT_eX]

[DOI]

Philipp Liznerski

Billy Joe Franks

Marius Kloft

Trans. Mach. Learn. Res., 2022

Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2022

Interpretability, Reproducibility, and Replicability [From the Guest Editors].

[BibT_eX]

[DOI]

Tülay Adali

Rodrigo Capobianco Guido

Tin Kam Ho

Stephen C. Strother

IEEE Signal Process. Mag., 2022

Towards robust explanations for deep neural networks.

[BibT_eX]

[DOI]

Pan Kessel

Pattern Recognit., 2022

Higher-Order Explanations of Graph Neural Networks via Relevant Walks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Building and Interpreting Deep Similarity Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data.

[BibT_eX]

[DOI]

NeuroImage, 2022

Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain.

[BibT_eX]

[DOI]

NeuroImage, 2022

High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks.

[BibT_eX]

[DOI]

Ludwig Winkler

Huziel E. Sauceda

Mach. Learn. Sci. Technol., 2022

Scrutinizing XAI using linear ground-truth data with suppressor variables.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Finding and removing Clever Hans: Using explanation methods to debug and improve deep models.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning.

[BibT_eX]

[DOI]

Datenbank-Spektrum, 2022

Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence.

[BibT_eX]

[DOI]

Stefan Blücher

CoRR, 2022

Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields.

[BibT_eX]

[DOI]

Niklas Frederik Schmitz

CoRR, 2022

So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales.

[BibT_eX]

[DOI]

J. Thorben Frank

Oliver T. Unke

Leonardo Medrano Sandonas

CoRR, 2022

Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic Identification of Chemical Moieties.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Dissipation Control for Turbulence Simulation with Shell Models.

[BibT_eX]

[DOI]

Wolf-Christian Müller

CoRR, 2022

Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks.

[BibT_eX]

[DOI]

Ludwig Winkler

Huziel E. Sauceda

CoRR, 2022

So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems.

[BibT_eX]

[DOI]

J. Thorben Frank

Oliver T. Unke

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Computation of Higher-Order Subgraph Attribution via Message Passing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

XAI for Transformers: Better Explanations through Conservative Propagation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Deep Learning for Whole-Brain Cognitive Decoding.

[BibT_eX]

[DOI]

Armin W. Thomas

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

Welcome Message from the General Chairs.

[BibT_eX]

[DOI]

Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints.

[BibT_eX]

[DOI]

Felix Sattler

IEEE Trans. Neural Networks Learn. Syst., 2021

Pruning by explaining: A novel criterion for deep neural network pruning.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Basis profile curve identification to understand electrical stimulation effects in human brain networks.

[BibT_eX]

[DOI]

Kai J. Miller

Dora Hermes

PLoS Comput. Biol., 2021

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications.

[BibT_eX]

[DOI]

Sebastian Lapuschkin

Proc. IEEE, 2021

A Unifying Review of Deep and Shallow Anomaly Detection.

[BibT_eX]

[DOI]

Jacob R. Kauffmann

Stefaan Simon Pierre Hessmann

Proc. IEEE, 2021

Robustifying models against adversarial attacks by Langevin dynamics.

[BibT_eX]

[DOI]

Neural Networks, 2021

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

Stefan Haufe

NeuroImage, 2021

Morphological and molecular breast cancer profiling through explainable machine learning.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2021

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2021

Toward Explainable AI for Regression Models.

[BibT_eX]

[DOI]

CoRR, 2021

Inverse design of 3d molecular structures with conditional generative neural networks.

[BibT_eX]

[DOI]

Niklas W. A. Gebauer

Michael Gastegger

Kristof T. Schütt

CoRR, 2021

Explaining Bayesian Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.

[BibT_eX]

[DOI]

CoRR, 2021

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy.

[BibT_eX]

[DOI]

CoRR, 2021

BIGDML: Towards Exact Machine Learning Force Fields for Materials.

[BibT_eX]

[DOI]

Huziel E. Sauceda

Luis E. Gálvez-González

Lauro Oliver Paz-Borbón

CoRR, 2021

Optimal Sampling Density for Nonparametric Regression.

[BibT_eX]

[DOI]

Danny Panknin

CoRR, 2021

SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects.

[BibT_eX]

[DOI]

CoRR, 2021

Forecasting industrial aging processes with machine learning methods.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2021

SE(3)-equivariant prediction of molecular wavefunctions and electronic densities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

Stefan Haufe

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explainable Deep One-Class Classification.

[BibT_eX]

[DOI]

Philipp Liznerski

Billy Joe Franks

Marius Kloft

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.

[BibT_eX]

[DOI]

AI and ML for Digital Pathology, 2020

Compact and Computationally Efficient Representation of Deep Neural Networks.

[BibT_eX]

[DOI]

Simon Wiedemann

IEEE Trans. Neural Networks Learn. Syst., 2020

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Optimizing for Measure of Performance in Max-Margin Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Mammography Image Quality Assurance Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2020

An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions.

[BibT_eX]

[DOI]

Dong-Ok Won

Sci. Robotics, 2020

Towards explaining anomalies: A deep Taylor decomposition of one-class models.

[BibT_eX]

[DOI]

Jacob R. Kauffmann

Pattern Recognit., 2020

Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis.

[BibT_eX]

[DOI]

NeuroImage, 2020

Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain.

[BibT_eX]

[DOI]

NeuroImage, 2020

Langevin Cooling for Domain Translation.

[BibT_eX]

[DOI]

CoRR, 2020

The Clever Hans Effect in Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

How Much Can I Trust You? - Quantifying Uncertainties in Explaining Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking Assumptions in Deep Anomaly Detection.

[BibT_eX]

[DOI]

Billy Joe Franks

Marius Kloft

CoRR, 2020

Automatic Identification of Types of Alterations in Historical Manuscripts.

[BibT_eX]

[DOI]

CoRR, 2020

Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond.

[BibT_eX]

[DOI]

Sebastian Lapuschkin

CoRR, 2020

Autonomous robotic nanofabrication with reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2020

EEG-Based Assessment of Perceived Realness in Stylized Face Images.

[BibT_eX]

[DOI]

Milena T. Bagdasarian

Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020

Explaining the Predictions of Unsupervised Learning Models.

[BibT_eX]

[DOI]

Proceedings of the xxAI - Beyond Explainable AI, 2020

xxAI - Beyond Explainable Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the xxAI - Beyond Explainable AI, 2020

Fairwashing explanations with off-manifold detergent.

[BibT_eX]

[DOI]

Plamen Pasliev

Pan Kessel

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Semi-Supervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

EEG-Based Assessment of Perceived Quality in Complex Natural Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

On the Byzantine Robustness of Clustered Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI.

[BibT_eX]

[DOI]

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

David Hübner

Thibault Verhoeven

Michael Tangermann

Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019

Quantum-Chemical Insights from Interpretable Atomistic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI: Interpreting, 2019

Towards Explainable Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI: Interpreting, 2019

Layer-Wise Relevance Propagation: An Overview.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI: Interpreting, 2019

Explaining and Interpreting LSTMs.

[BibT_eX]

[DOI]

Leila Arras

Jose A. Arjona-Medina

Proceedings of the Explainable AI: Interpreting, 2019

Understanding Patch-Based Learning of Video Data by Explaining Predictions.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI: Interpreting, 2019

Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation.

[BibT_eX]

[DOI]

Carmen Vidaurre

Ander Ramos-Murguialday

NeuroImage, 2019

Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets.

[BibT_eX]

[DOI]

Carmen Vidaurre

Guido Nolte

Ingmar E. J. de Vries

NeuroImage, 2019

A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy.

[BibT_eX]

[DOI]

Zois Boukouvalas

Tülay Adali

NeuroImage, 2019

N-ary decomposition for multi-class classification.

[BibT_eX]

[DOI]

Mach. Learn., 2019

iNNvestigate Neural Networks!

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network.

[BibT_eX]

[DOI]

Digit. Signal Process., 2019

sGDML: Constructing accurate and data efficient molecular force fields using machine learning.

[BibT_eX]

[DOI]

Huziel Enoc Sauceda Felix

Igor Poltavsky

Comput. Phys. Commun., 2019

Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed.

[BibT_eX]

[DOI]

CoRR, 2019

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning.

[BibT_eX]

[DOI]

CoRR, 2019

Machine learning for molecular simulation.

[BibT_eX]

[DOI]

CoRR, 2019

Asymptotically Unbiased Generative Neural Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints.

[BibT_eX]

[DOI]

Felix Sattler

CoRR, 2019

Explaining and Interpreting LSTMs.

[BibT_eX]

[DOI]

Leila Arras

Jose A. Arjona-Medina

CoRR, 2019

Towards Explainable Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2019

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.

[BibT_eX]

[DOI]

CoRR, 2019

From Clustering to Cluster Explanations via Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.

[BibT_eX]

[DOI]

CoRR, 2019

Robust and Communication-Efficient Federated Learning from Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2019

Local Bandwidth Estimation via Mixture of Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2019

Unmasking Clever Hans Predictors and Assessing What Machines Really Learn.

[BibT_eX]

[DOI]

CoRR, 2019

Automating the search for a patent's prior art with a full text similarity search.

[BibT_eX]

[DOI]

CoRR, 2019

Classification of structured validation data using stateless and stateful features.

[BibT_eX]

[DOI]

Guido Schwenk

Ralf Pabst

Comput. Commun., 2019

Explanations can be manipulated and geometry is to blame.

[BibT_eX]

[DOI]

Maximilian Alber

Marcel Ackermann

Pan Kessel

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.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Deep Transfer Learning for Whole-Brain FMRI Analyses.

[BibT_eX]

[DOI]

Armin W. Thomas

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Entropy-Constrained Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Rotation Invariant Clustering of 3D Cell Nuclei Shapes.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Evaluating Recurrent Neural Network Explanations.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019

Explainable Deep Learning for Analysing Brain Data.

[BibT_eX]

[DOI]

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Transductive Regression for Data With Latent Dependence Structure.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Support Vector Data Descriptions and k-Means Clustering: One Class?

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2018

Wasserstein Stationary Subspace Analysis.

[BibT_eX]

[DOI]

Stephan Kaltenstadler

IEEE J. Sel. Top. Signal Process., 2018

Methods for interpreting and understanding deep neural networks.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Learning representations of molecules and materials with atomistic neural networks.

[BibT_eX]

[DOI]

Kristof T. Schütt

Wolfgang Immanuel Schöllhorn

CoRR, 2018

Interpretable LSTMs For Whole-Brain Neuroimaging Analyses.

[BibT_eX]

[DOI]

CoRR, 2018

What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis.

[BibT_eX]

[DOI]

CoRR, 2018

Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Detection and Explanation of Latent-class Contextual Anomalies.

[BibT_eX]

[DOI]

CoRR, 2018

Quantum-chemical insights from interpretable atomistic neural networks.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding Patch-Based Learning by Explaining Predictions.

[BibT_eX]

[DOI]

CoRR, 2018

Tight Bound of Incremental Cover Trees for Dynamic Diversification.

[BibT_eX]

[DOI]

CoRR, 2018

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2018

Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier].

[BibT_eX]

[DOI]

David Hübner

Thibault Verhoeven

Michael Tangermann

IEEE Comput. Intell. Mag., 2018

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning how to explain neural networks: PatternNet and PatternAttribution.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis.

[BibT_eX]

[DOI]

Masahiro Yukawa

Yuto Ogino

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Open access repository for hybrid EEG-NIRS data.

[BibT_eX]

[DOI]

Jaeyoung Shin

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

Towards robust machine learning methods for the analysis of brain data.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017

Evaluating the Visualization of What a Deep Neural Network Has Learned.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Efficient Exact Inference With Loss Augmented Objective in Structured Learning.

[BibT_eX]

[DOI]

Alexander Bauer

IEEE Trans. Neural Networks Learn. Syst., 2017

Accurate Maximum-Margin Training for Parsing With Context-Free Grammars.

[BibT_eX]

[DOI]

Alexander Bauer

IEEE Trans. Neural Networks Learn. Syst., 2017

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

[BibT_eX]

[DOI]

Heidrun Wabnitz

Tilmann Heinrich Sander

IEEE Trans. Biomed. Eng., 2017

Explaining nonlinear classification decisions with deep Taylor decomposition.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels.

[BibT_eX]

[DOI]

Weiwei Liu

Ivor W. Tsang

J. Mach. Learn. Res., 2017

Porosity estimation by semi-supervised learning with sparsely available labeled samples.

[BibT_eX]

[DOI]

Luiz Alberto Lima

Nico Görnitz

Luiz Eduardo Varella

Marley M. B. R. Vellasco

Comput. Geosci., 2017

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models.

[BibT_eX]

[DOI]

Thomas Wiegand

CoRR, 2017

PatternNet and PatternLRP - Improving the interpretability of neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees.

[BibT_eX]

[DOI]

CoRR, 2017

Learning similarity preserving representations with neural similarity encoders.

[BibT_eX]

[DOI]

Franziska Horn

CoRR, 2017

Discovering topics in text datasets by visualizing relevant words.

[BibT_eX]

[DOI]

CoRR, 2017

Exploring text datasets by visualizing relevant words.

[BibT_eX]

[DOI]

CoRR, 2017

Explaining Recurrent Neural Network Predictions in Sentiment Analysis.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions.

[BibT_eX]

[DOI]

Kristof Schütt

Huziel Enoc Sauceda Felix

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

An Empirical Study on The Properties of Random Bases for Kernel Methods.

[BibT_eX]

[DOI]

Maximilian Alber

Kristof Schütt

Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reinforcement learning for video encoder control in HEVC.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Systems, Signals and Image Processing, 2017

Minimizing Trust Leaks for Robust Sybil Detection.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding and Comparing Deep Neural Networks for Age and Gender Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Interpretable human action recognition in compressed domain.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the From Vision to Reality, 2017

Headgear for Mobile Neurotechnology: looking into Alternatives for EEG and NIRS probes.

[BibT_eX]

[DOI]

Surjo R. Soekadar

Proceedings of the From Vision to Reality, 2017

The P300 BCI: on its Way to End-Users?

[BibT_eX]

[DOI]

Andrea Kübler

Cuntai Guan

Proceedings of the From Vision to Reality, 2017

Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware.

[BibT_eX]

[DOI]

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Object Boundary Detection and Classification with Image-Level Labels.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 39th German Conference, 2017

Shifting stimuli for brain computer interface based on rapid serial visual presentation.

[BibT_eX]

[DOI]

Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017

From measurement to machine learning: Towards analysing cognition.

[BibT_eX]

[DOI]

Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017

Hybrid EEG-NIRS brain-computer interface under eyes-closed condition.

[BibT_eX]

[DOI]

Jaeyoung Shin

Han-Jeong Hwang

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

Validity of Time Reversal for Testing Granger Causality.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?

[BibT_eX]

[DOI]

Masahiro Yukawa

IEEE Signal Process. Lett., 2016

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

[BibT_eX]

[DOI]

Anne K. Porbadnigk

Forooz Shahbazi Avarvand

NeuroImage, 2016

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

[BibT_eX]

[DOI]

NeuroImage, 2016

Analyzing neuroimaging data with subclasses: A shrinkage approach.

[BibT_eX]

[DOI]

NeuroImage, 2016

The LRP Toolbox for Artificial Neural Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

N-ary Error Correcting Coding Scheme.

[BibT_eX]

[DOI]

CoRR, 2016

Feature Importance Measure for Non-linear Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 2016

Interpretable Deep Neural Networks for Single-Trial EEG Classification.

[BibT_eX]

[DOI]

CoRR, 2016

Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.

[BibT_eX]

[DOI]

CoRR, 2016

Sharing Hash Codes for Multiple Purposes.

[BibT_eX]

[DOI]

CoRR, 2016

Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get?

[BibT_eX]

[DOI]

CoRR, 2016

Investigating the influence of noise and distractors on the interpretation of neural networks.

[BibT_eX]

[DOI]

Kristof Schütt

Sven Dähne

CoRR, 2016

By-passing the Kohn-Sham equations with machine learning.

[BibT_eX]

[DOI]

CoRR, 2016

Language Detection For Short Text Messages In Social Media.

[BibT_eX]

[DOI]

Ivana Balazevic

Mikio Ludwig Braun

CoRR, 2016

"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2016

Alternative CSP approaches for multimodal distributed BCI data.

[BibT_eX]

[DOI]

Stephanie Brandl

Santiago De-Luxán-Hernández

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Brain-Computer Interfacing for multimedia quality assessment.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Explaining Predictions of Non-Linear Classifiers in NLP.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Block adaptive selection of multiple core transforms for video coding.

[BibT_eX]

[DOI]

Proceedings of the 2016 Picture Coding Symposium, 2016

Neural network-based full-reference image quality assessment.

[BibT_eX]

[DOI]

Proceedings of the 2016 Picture Coding Symposium, 2016

Wasserstein Training of Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Controlling explanatory heatmap resolution and semantics via decomposition depth.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A better metric in kernel adaptive filtering.

[BibT_eX]

[DOI]

Airi Takeuchi

Masahiro Yukawa

Proceedings of the 24th European Signal Processing Conference, 2016

Identifying Individual Facial Expressions by Deconstructing a Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Analyzing Classifiers: Fisher Vectors and Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Machine learning for BCI: towards analysing cognition.

[BibT_eX]

[DOI]

Proceedings of the 4th International Winter Conference on Brain-Computer Interface, 2016

2015

The Plurality of Human Brain-Computer Interfacing [Scanning the Issue].

[BibT_eX]

[DOI]

Gernot R. Müller-Putz

José del R. Millán

Gerwin Schalk

Proc. IEEE, 2015

Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond.

[BibT_eX]

[DOI]

Gernot R. Müller-Putz

Proc. IEEE, 2015

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Proc. IEEE, 2015

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.

[BibT_eX]

[DOI]

Proc. IEEE, 2015

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

[BibT_eX]

[DOI]

NeuroImage, 2015

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

[BibT_eX]

[DOI]

NeuroImage, 2015

Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals.

[BibT_eX]

[DOI]

CoRR, 2015

Wasserstein Training of Boltzmann Machines.

[BibT_eX]

[DOI]

Santiago De-Luxán-Hernández

Marco Cuturi

CoRR, 2015

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment.

[BibT_eX]

[DOI]

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

A kernel-based statistical analysis of the residual error in video coding.

[BibT_eX]

[DOI]

Detlev Marpe

Thomas Wiegand

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Tackling noise, artifacts and nonstationarity in BCI with robust divergences.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Investigating effects of different artefact types on motor imagery BCI.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Classifying directions in continuous arm movement from EEG signals.

[BibT_eX]

[DOI]

Jeong-Seok Woo

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

Machine learning and BCI.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence.

[BibT_eX]

[DOI]

Stephanie Brandl

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

2014

Machine Learning for Visual Concept Recognition and Ranking for Images.

[BibT_eX]

[DOI]

Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Stereoscopic depth increases intersubject correlations of brain networks.

[BibT_eX]

[DOI]

NeuroImage, 2014

Finding brain oscillations with power dependencies in neuroimaging data.

[BibT_eX]

[DOI]

NeuroImage, 2014

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

[BibT_eX]

[DOI]

NeuroImage, 2014

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

[BibT_eX]

[DOI]

NeuroImage, 2014

Robust Common Spatial Filters with a Maxmin Approach.

[BibT_eX]

[DOI]

Neural Comput., 2014

Understanding Machine-learned Density Functionals.

[BibT_eX]

[DOI]

Li Li

John C. Snyder

Isabelle M. Pelaschier

CoRR, 2014

Learning with Algebraic Invariances, and the Invariant Kernel Trick.

[BibT_eX]

[DOI]

Franz J. Király

Andreas Ziehe

CoRR, 2014

Mean shrinkage improves the classification of ERP signals by exploiting additional label information.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Data-driven multisubject neuroimaging analyses for naturalistic stimuli.

[BibT_eX]

[DOI]

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Covariance shrinkage for autocorrelated data.

[BibT_eX]

[DOI]

Daniel Bartz

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Neurally informed assessment of perceived natural texture image quality.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Towards an enhanced ERP speller based on the visual processing of face familiarity.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Covariate shift adaptation in EMG pattern recognition for prosthetic device control.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Information geometry meets BCI spatial filtering using divergences.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Multimodal imaging, non-stationarity and BCI.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Toward exoskeleton control based on steady state visual evoked potentials.

[BibT_eX]

[DOI]

No-Sang Kwak

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Channel selection for simultaneous myoelectric prosthesis control.

[BibT_eX]

[DOI]

Han-Jeong Hwang

Janne Mathias Hahne

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Multimodal integration of electrophysiological and hemodynamic signals.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

Learning and Evaluation in Presence of Non-i.i.d. Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Integration of Multivariate Data Streams With Bandpower Signals.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2013

Transferring Subspaces Between Subjects in Brain-Computer Interfacing.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2013

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

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

[BibT_eX]

[DOI]

NeuroImage, 2013

Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning.

[BibT_eX]

[DOI]

J. Comput. Sci. Eng., 2013

Enhanced representation and multi-task learning for image annotation.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

Robust Spatial Filtering with Beta Divergence.

[BibT_eX]

[DOI]

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

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures.

[BibT_eX]

[DOI]

Daniel Bartz

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

Multiple Kernel Learning for Brain-Computer Interfacing.

[BibT_eX]

[DOI]

Alexander Binder

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Kernels, Pre-images and Optimization.

[BibT_eX]

[DOI]

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

Multimodal imaging technique for rapid response brain-computer interface feedback.

[BibT_eX]

[DOI]

Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Decoding cognitive brain states.

[BibT_eX]

[DOI]

Anne K. Porbadnigk

Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Tutorial on multimodal neuroimaging for brain-computer interfacing.

[BibT_eX]

[DOI]

Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

2012

Tricks for Time Series.

[BibT_eX]

[DOI]

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

Representing and Incorporating Prior Knowledge in Neural Network Training.

[BibT_eX]

[DOI]

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

Improving Network Models and Algorithmic Tricks.

[BibT_eX]

[DOI]

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

Regularization Techniques to Improve Generalization.

[BibT_eX]

[DOI]

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

Speeding Learning.

[BibT_eX]

[DOI]

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

Introduction.

[BibT_eX]

[DOI]

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

Identifying Dynamical Systems for Forecasting and Control.

[BibT_eX]

[DOI]

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

Deep Boltzmann Machines and the Centering Trick.

[BibT_eX]

[DOI]

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

Better Representations: Invariant, Disentangled and Reusable.

[BibT_eX]

[DOI]

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

Big Learning and Deep Neural Networks.

[BibT_eX]

[DOI]

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

Efficient BackProp.

[BibT_eX]

[DOI]

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

Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Toward a Direct Measure of Video Quality Perception Using EEG.

[BibT_eX]

[DOI]

Simon Scholler

Sebastian Bosse

IEEE Trans. Image Process., 2012

Spatial Filtering for Robust Myoelectric Control.

[BibT_eX]

[DOI]

Janne Mathias Hahne

Bernhard Graimann

IEEE Trans. Biomed. Eng., 2012

Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2012

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

[BibT_eX]

[DOI]

NeuroImage, 2012

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

[BibT_eX]

[DOI]

NeuroImage, 2012

Deep Boltzmann Machines as Feed-Forward Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Regression for sets of polynomial equations.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Algebraic Geometric Comparison of Probability Distributions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Modeling of molecular atomization energies using machine learning.

[BibT_eX]

[DOI]

Matthias Rupp

O. Anatole von Lilienfeld

J. Cheminformatics, 2012

On Taxonomies for Multi-class Image Categorization.

[BibT_eX]

[DOI]

Alexander Binder

Int. J. Comput. Vis., 2012

Learning Feature Hierarchies with Centered Deep Boltzmann Machines

[BibT_eX]

[DOI]

O. Anatole von Lilienfeld

CoRR, 2012

Learning Invariant Representations of Molecules for Atomization Energy Prediction.

[BibT_eX]

[DOI]

Jens-Michalis Papaioannou

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Quantifying spatiotemporal dynamics of twitter replies to news feeds.

[BibT_eX]

[DOI]

Felix Bießmann

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.

[BibT_eX]

[DOI]

Franz J. Király

Andreas Ziehe

Francisco Velasco-Álvarez

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Common Spatial Pattern Patches: Online evaluation on BCI-naive users.

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Brain-computer interfacing in discriminative and stationary subspaces.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Javier Pascual

Carmen Vidaurre

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Uniqueness of Non-Gaussianity-Based Dimension Reduction.

[BibT_eX]

[DOI]

Fabian J. Theis

IEEE Trans. Signal Process., 2011

Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2011

Introduction to machine learning for brain imaging.

[BibT_eX]

[DOI]

NeuroImage, 2011

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

[BibT_eX]

[DOI]

NeuroImage, 2011

ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI.

[BibT_eX]

[DOI]

NeuroImage, 2011

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

[BibT_eX]

[DOI]

Steven Lemm

Stefan Haufe

NeuroImage, 2011

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Neural Comput., 2011

The Stationary Subspace Analysis Toolbox.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Kernel Analysis of Deep Networks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

StructRank: A New Approach for Ligand-Based Virtual Screening.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2011

Finding Density Functionals with Machine Learning

[BibT_eX]

[DOI]

CoRR, 2011

Insights from Classifying Visual Concepts with Multiple Kernel Learning

[BibT_eX]

[DOI]

CoRR, 2011

Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization

[BibT_eX]

[DOI]

CoRR, 2011

Pitfalls in EEG-Based Brain Effective Connectivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A new scatter-based multi-class support vector machine.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

ℓ1-Penalized Linear Mixed-Effects Models for BCI.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Revealing the neural response to imperceptible peripheral flicker with machine learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010

Using Rest Class and Control Paradigms for Brain Computer Interfacing.

[BibT_eX]

[DOI]

Proceedings of the Brain-Computer Interfaces, 2010

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2010

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

[BibT_eX]

[DOI]

Ryota Tomioka

Manfred Schubert-Zsilavecz

NeuroImage, 2010

Neurophysiological predictor of SMR-based BCI performance.

[BibT_eX]

[DOI]

NeuroImage, 2010

Temporal kernel CCA and its application in multimodal neuronal data analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Approximate Tree Kernels.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Comparison of Granger Causality and Phase Slope Index.

[BibT_eX]

[DOI]

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Sparse Causal Discovery in Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

How to Explain Individual Classification Decisions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2010

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

[BibT_eX]

[DOI]

Gisbert Schneider

J. Cheminformatics, 2010

Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience.

[BibT_eX]

[DOI]

Maria T. Kramarek

Frontiers Neuroinformatics, 2010

Layer-wise analysis of deep networks with Gaussian kernels.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization.

[BibT_eX]

[DOI]

Steven Lemm

Gabriel Curio

PLoS Comput. Biol., 2009

Improving BCI performance by task-related trial pruning.

[BibT_eX]

[DOI]

Claudia Sannelli

Neural Networks, 2009

Recent advances in brain-machine interfaces.

[BibT_eX]

[DOI]

Tadashi Isa

Eberhard E. Fetz

Neural Networks, 2009

Subject-independent mental state classification in single trials.

[BibT_eX]

[DOI]

Neural Networks, 2009

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity.

[BibT_eX]

[DOI]

Thomas Steger-Hartmann

Nikolaus Heinrich

J. Chem. Inf. Model., 2009

Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces.

[BibT_eX]

[DOI]

John Williamson

Roderick Murray-Smith

Matthias Krauledat

Int. J. Hum. Comput. Stud., 2009

Securing IMS against novel threats.

[BibT_eX]

[DOI]

Bell Labs Tech. J., 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.

[BibT_eX]

[DOI]

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

Subject independent EEG-based BCI decoding.

[BibT_eX]

[DOI]

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

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Using Rest Class and Control Paradigms for Brain Computer Interfacing.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Stationary Subspace Analysis.

[BibT_eX]

[DOI]

Paul von Bünau

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Learning invariances with Stationary Subspace Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2008

Brain-Computer Interfaces [from the guest editors].

[BibT_eX]

[DOI]

Paul Sajda

Krishna V. Shenoy

IEEE Signal Process. Mag., 2008

Optimizing Spatial filters for Robust EEG Single-Trial Analysis.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2008

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

[BibT_eX]

[DOI]

NeuroImage, 2008

On Relevant Dimensions in Kernel Feature Spaces.

[BibT_eX]

[DOI]

Joachim M. Buhmann

J. Mach. Learn. Res., 2008

A Probabilistic Approach to Classifying Metabolic Stability.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2008

Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2008

Brain-Computer Interfacing for Intelligent Systems.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2008

The Berlin Brain-Computer Interface.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence: Research Frontiers, 2008

Playing Pinball with non-invasive BCI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Estimating vector fields using sparse basis field expansions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Self-learning System for Detection of Anomalous SIP Messages.

[BibT_eX]

[DOI]

Proceedings of the Principles, 2008

Stopping conditions for exact computation of leave-one-out error in support vector machines.

[BibT_eX]

[DOI]

Vojtech Franc

Pavel Laskov

Proceedings of the Machine Learning, 2008

2007

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2007

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

[BibT_eX]

[DOI]

NeuroImage, 2007

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

[BibT_eX]

[DOI]

Multim. Tools Appl., 2007

Optimal dyadic decision trees.

[BibT_eX]

[DOI]

Mach. Learn., 2007

Covariate Shift Adaptation by Importance Weighted Cross Validation.

[BibT_eX]

[DOI]

Matthias Krauledat

J. Mach. Learn. Res., 2007

The Need for Open Source Software in Machine Learning.

[BibT_eX]

[DOI]

Carl Edward Rasmussen

J. Mach. Learn. Res., 2007

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach.

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[DOI]

J. Chem. Inf. Model., 2007

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2007

Berlin Brain-Computer Interface - The HCI communication channel for discovery.

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[DOI]

Int. J. Hum. Comput. Stud., 2007

Heterogeneous Component Analysis.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing.

[BibT_eX]

[DOI]

Ryota Tomioka

Friederike U. Hohlefeld

Vadim V. Nikulin

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Machine Learning for Intrusion Detection.

[BibT_eX]

[DOI]

Pavel Laskov

Konrad Rieck

Proceedings of the Mining Massive Data Sets for Security, 2007

Asymptotic Bayesian generalization error when training and test distributions are different.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Machine Learning and Applications for Brain-Computer Interfacing.

[BibT_eX]

[DOI]

Proceedings of the Human Interface and the Management of Information. Methods, 2007

A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface.

[BibT_eX]

[DOI]

Roderick Murray-Smith

Proceedings of the Universal Access in Human-Computer Interaction. Ambient Interaction, 2007

2006

Enhancing the signal-to-noise ratio of ICA-based extracted ERPs.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2006

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2006

Toward noninvasive brain-computer interfaces.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2006

On the information and representation of non-Euclidean pairwise data.

[BibT_eX]

[DOI]

Pattern Recognit., 2006

Das Berliner Brain-Computer Interface.

[BibT_eX]

[DOI]

Künstliche Intell., 2006

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

[BibT_eX]

[DOI]

J. Univers. Comput. Sci., 2006

Incremental Support Vector Learning: Analysis, Implementation and Applications.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

In Search of Non-Gaussian Components of a High-Dimensional Distribution.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

From outliers to prototypes: Ordering data.

[BibT_eX]

[DOI]

Neurocomputing, 2006

Logistic Regression for Single Trial EEG Classification.

[BibT_eX]

[DOI]

Ryota Tomioka

Kazuyuki Aihara

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Inducing Metric Violations in Human Similarity Judgements.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Denoising and Dimension Reduction in Feature Space.

[BibT_eX]

[DOI]

Joachim M. Buhmann

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.

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[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Model Selection Method Based on Bound of Learning Coefficient.

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[DOI]

Proceedings of the Artificial Neural Networks, 2006

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Algorithms for on-line differentiation of neuroelectric activities.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

On-line Differentiation Of Neuroelectric Activities: Algorithms And applications.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Optimizing Spectral Filters for Single Trial EEG Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

Importance-Weighted Cross-Validation for Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels.

[BibT_eX]

[DOI]

Konrad Rieck

Pavel Laskov

Proceedings of the Pattern Recognition, 2006

2005

Spatio-spectral filters for improving the classification of single trial EEG.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2005

Estimating Functions for Blind Separation When Sources Have Variance Dependencies.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Classifying 'Drug-likeness' with Kernel-Based Learning Methods.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2005

Inlier-based ICA with an application to superimposed images.

[BibT_eX]

[DOI]

Stefan Harmeling

Int. J. Imaging Syst. Technol., 2005

Visualization of anomaly detection using prediction sensitivity.

[BibT_eX]

[DOI]

Proceedings of the Sicherheit 2005: Sicherheit, 2005

Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Optimizing spatio-temporal filters for improving Brain-Computer Interfacing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Model Selection Under Covariate Shift.

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[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Editorial.

[BibT_eX]

[DOI]

Miguel A. L. Nicolelis

Niels Birbaumer

IEEE Trans. Biomed. Eng., 2004

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2004

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2004

Injecting noise for analysing the stability of ICA components.

[BibT_eX]

[DOI]

Stefan Harmeling

Signal Process., 2004

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines.

[BibT_eX]

[DOI]

Prax. Inf.verarb. Kommun., 2004

Asymptotic Properties of the Fisher Kernel.

[BibT_eX]

[DOI]

Neural Comput., 2004

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

[BibT_eX]

[DOI]

Neural Comput., 2004

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2004

Feature Discovery in Non-Metric Pairwise Data.

[BibT_eX]

[DOI]

Julian Laub

J. Mach. Learn. Res., 2004

Blind Source Separation Techniques for Decomposing Event-Related Brain Signals.

[BibT_eX]

[DOI]

Int. J. Bifurc. Chaos, 2004

A Consistency-Based Model Selection for One-Class Classification.

[BibT_eX]

[DOI]

David M. J. Tax

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Approximate Joint Diagonalization Using a Natural Gradient Approach.

[BibT_eX]

[DOI]

Arie Yeredor

Andreas Ziehe

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Robust ICA for Super-Gaussian Sources.

[BibT_eX]

[DOI]

Stefan Harmeling

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Regularizing generalization error estimators: a novel approach to robust model selection.

[BibT_eX]

[DOI]

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Kernel-Based Nonlinear Blind Source Separation.

[BibT_eX]

[DOI]

Neural Comput., 2003

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Increase Information Transfer Rates in BCI by CSP Extension to Multi-class.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Feature Extraction for One-Class Classification.

[BibT_eX]

[DOI]

David M. J. Tax

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors.

[BibT_eX]

[DOI]

Koji Tsuda

IEEE Trans. Neural Networks, 2002

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2002

Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2002

On-line learning in changing environments with applications in supervised and unsupervised learning.

[BibT_eX]

[DOI]

Neural Networks, 2002

A New Discriminative Kernel from Probabilistic Models.

[BibT_eX]

[DOI]

Neural Comput., 2002

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Clustering with the Fisher Score.

[BibT_eX]

[DOI]

Koji Tsuda

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Going Metric: Denoising Pairwise Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Combining Features for BCI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

New Methods for Splice Site Recognition.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

2001

An introduction to kernel-based learning algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

Soft Margins for AdaBoost.

[BibT_eX]

[DOI]

Takashi Onoda

Mach. Learn., 2001

Estimating the Reliability of ICA Projections.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Kernel Feature Spaces and Nonlinear Blind Souce Separation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Classifying Single Trial EEG: Towards Brain Computer Interfacing.

[BibT_eX]

[DOI]

Gabriel Curio

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

2000

Artifact reduction in magnetoneurography based on time-delayed second-order correlations.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2000

Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2000

Engineering support vector machine kernels that recognize translation initiation sites.

[BibT_eX]

[DOI]

Bioinform., 2000

Identification of nonstationary dynamics in physiological recordings.

[BibT_eX]

[DOI]

Biol. Cybern., 2000

Robust Ensemble Learning for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery and Data Mining, 2000

A Mathematical Programming Approach to the Kernel Fisher Algorithm.

[BibT_eX]

[DOI]

Sebastian Mika

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Barrier Boosting.

[BibT_eX]

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

1999

Input space versus feature space in kernel-based methods.

[BibT_eX]

[DOI]

Sebastian Mika

Christopher J. C. Burges

IEEE Trans. Neural Networks, 1999

Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten.

[BibT_eX]

[DOI]

Inform. Forsch. Entwickl., 1999

v-Arc: Ensemble Learning in the Presence of Outliers.

[BibT_eX]

[DOI]

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

Unmixing Hyperspectral Data.

[BibT_eX]

[DOI]

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

Invariant Feature Extraction and Classification in Kernel Spaces.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Proceedings of the Human-Computer Interaction: Communication, 1999

Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.

[BibT_eX]

Proceedings of the German Conference on Bioinformatics, 1999

Hidden Markov gating for prediction of change points in switching dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Data Set A is a Pattern Matching Problem.

[BibT_eX]

[DOI]

Neural Process. Lett., 1998

The connection between regularization operators and support vector kernels.

[BibT_eX]

[DOI]

Neural Networks, 1998

Nonlinear Component Analysis as a Kernel Eigenvalue Problem.

[BibT_eX]

[DOI]

Neural Comput., 1998

Regularizing AdaBoost.

[BibT_eX]

[DOI]

Takashi Onoda

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

Kernel PCA and De-Noising in Feature Spaces.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Takashi Onoda

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Asymptotic statistical theory of overtraining and cross-validation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

Predicting Time Series with Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

Analysis of Wake/Sleep EEG with Competing Experts.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1997

1996

Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics.

[BibT_eX]

[DOI]

Neural Comput., 1996

A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks.

[BibT_eX]

[DOI]

Neural Comput., 1996

Tricks for Time Series: Preface.

[BibT_eX]

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

Representing and Incorporating Prior Knowledge in Neural Network Training: Preface.

[BibT_eX]

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

Improving Network Models and Algorithmic Tricks: Preface.

[BibT_eX]

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

Regularization Techniques to Improve Generalization: Preface.

[BibT_eX]

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

Speeding Learning: Preface.

[BibT_eX]

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

Introduction.

[BibT_eX]

[DOI]

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

Adaptive On-line Learning in Changing Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Effiicient BackProp.

[BibT_eX]

[DOI]

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

Prediction of Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

Analysis of Drifting Dynamics with Competing Predictors.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

1995

Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

Spärlich verbundene neuronale Netze und ihre Anwendung.

[BibT_eX]

[DOI]

PhD thesis, 1994

1993

Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks.

[BibT_eX]

[DOI]