Combining constrained based learning and transfer learning to facilitate Zero-training Brain-Computer Interfacing

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

Auteurs: David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
Publié dans: PLOS ONE, Numéro 12/4, 2017, Page(s) e0175856, ISSN 1932-6203
Éditeur: Public Library of Science
DOI: 10.1371/journal.pone.0175856

Towards a symbiotic brain–computer interface: exploring the application–decoder interaction

Auteurs: T Verhoeven, P Buteneers, JR Wiersema, J Dambre, PJ Kindermans
Publié dans: Journal of Neural Engineering, Numéro 12/6, 2015, Page(s) 066027, ISSN 1741-2560
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1741-2560/12/6/066027

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Auteurs: Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Müller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, Iñaki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jen
Publié dans: Brain-Computer Interfaces, 2017, Page(s) 1-34, ISSN 2326-263X
Éditeur: Taylor and Francis Online
DOI: 10.1080/2326263X.2016.1275488

Towards improved design and evaluation of epileptic seizure predictors

Auteurs: Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre
Publié dans: IEEE Transactions on Biomedical Engineering, 2017, Page(s) 1-1, ISSN 0018-9294
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TBME.2017.2700086

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

Auteurs: Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numéro 38/8, 2016, Page(s) 1583-1597, ISSN 0162-8828
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2016.2537340

Improving zero-training brain-computer interfaces by mixing model estimators

Auteurs: T Verhoeven, D Hübner, M Tangermann, K R Müller, J Dambre, P J Kindermans
Publié dans: Journal of Neural Engineering, Numéro 14/3, 2017, Page(s) 036021, ISSN 1741-2560
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aa6639

Reducing BCI calibration time with transfer learning: a shrinkage approach

Auteurs: T. Verhoeven, P.J. Kindermans, S. Vandenberghe, J. Dambre
Publié dans: Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, 2016
Éditeur: Verlag der TU Graz, Graz University of Technology
DOI: 10.3217/978-3-85125-467-9-133

Making Brain-Computer Interfaces robust, reliable and adaptive with Learning from Label Proportions

Auteurs: Pieter-Jan Kindermans, David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann
Publié dans: NIPS Workshop on Reliable Machine Learning in the Wild, 2017
Éditeur: -

Improving learning from label proportions by reducing the feature dimensionality

Auteurs: Hübner D., Kindermans P.-J., Verhoeven T., Tangermann M.
Publié dans: Seventh International Brain-Computer Interface Conference 2017, 2017
Éditeur: Verlag der TU Graz

Learning from label proportions in BCI -- A symbiotic design for stimulus presentation and signal decoding

Auteurs: Hübner D., Verhoeven T., Schmid K., Müller K.-R., Tangermann M., Kindermans P.-J
Publié dans: 1st Neuroadaptive Technology Conference Berlin, 2017
Éditeur: Elsevier

Mixing Two Unsupervised Estimators for Event-Related Potential decoding: An Online Evaluation

Auteurs: Hübner D., Verhoeven T., Kindermans P.-J., Tangermann M.
Publié dans: Seventh International Brain-Computer Interface Conference 2017, 2017
Éditeur: Verlag der TU Graz

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

Auteurs: Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
Publié dans: NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems, 2016
Éditeur: Arxiv

PatternNet and PatternLRP -- Improving the interpretability of neural networks

Auteurs: Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
Publié dans: Submitted to NIPS 2017, 2017
Éditeur: Arxiv

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