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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees (opens in new window)

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

Towards a symbiotic brain–computer interface: exploring the application–decoder interaction (opens in new window)

Author(s): T Verhoeven, P Buteneers, JR Wiersema, J Dambre, PJ Kindermans
Published in: Journal of Neural Engineering, Issue 12/6, 2015, Page(s) 066027, ISSN 1741-2560
Publisher: 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 (opens in new window)

Author(s): 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
Published in: Brain-Computer Interfaces, 2017, Page(s) 1-34, ISSN 2326-263X
Publisher: Taylor and Francis Online
DOI: 10.1080/2326263X.2016.1275488

Towards improved design and evaluation of epileptic seizure predictors (opens in new window)

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

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition (opens in new window)

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

Improving zero-training brain-computer interfaces by mixing model estimators (opens in new window)

Author(s): T Verhoeven, D Hübner, M Tangermann, K R Müller, J Dambre, P J Kindermans
Published in: Journal of Neural Engineering, Issue 14/3, 2017, Page(s) 036021, ISSN 1741-2560
Publisher: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aa6639

Reducing BCI calibration time with transfer learning: a shrinkage approach (opens in new window)

Author(s): T. Verhoeven, P.J. Kindermans, S. Vandenberghe, J. Dambre
Published in: Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, 2016
Publisher: 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

Author(s): Pieter-Jan Kindermans, David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann
Published in: NIPS Workshop on Reliable Machine Learning in the Wild, 2017
Publisher: -

Improving learning from label proportions by reducing the feature dimensionality

Author(s): Hübner D., Kindermans P.-J., Verhoeven T., Tangermann M.
Published in: Seventh International Brain-Computer Interface Conference 2017, 2017
Publisher: Verlag der TU Graz

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

Author(s): Hübner D., Verhoeven T., Schmid K., Müller K.-R., Tangermann M., Kindermans P.-J
Published in: 1st Neuroadaptive Technology Conference Berlin, 2017
Publisher: Elsevier

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

Author(s): Hübner D., Verhoeven T., Kindermans P.-J., Tangermann M.
Published in: Seventh International Brain-Computer Interface Conference 2017, 2017
Publisher: Verlag der TU Graz

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

Author(s): Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
Published in: NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems, 2016
Publisher: Arxiv

PatternNet and PatternLRP -- Improving the interpretability of neural networks

Author(s): Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
Published in: Submitted to NIPS 2017, 2017
Publisher: Arxiv

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