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

Informazioni relative al progetto

ZERO-TRAIN-BCI

ID dell’accordo di sovvenzione: 657679

DOI

10.3030/657679

Progetto chiuso

Data della firma CE 11 Marzo 2015

Data di avvio 1 Aprile 2015

Data di completamento 31 Marzo 2017

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 159 460,80

Contributo UE

€ 159 460,80

Coordinato da

TECHNISCHE UNIVERSITAT BERLIN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (6)

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

Autori: David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
Pubblicato in: PLOS ONE, Numero 12/4, 2017, Pagina/e e0175856, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0175856

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

Autori: T Verhoeven, P Buteneers, JR Wiersema, J Dambre, PJ Kindermans
Pubblicato in: Journal of Neural Engineering, Numero 12/6, 2015, Pagina/e 066027, ISSN 1741-2560
Editore: 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

Autori: 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
Pubblicato in: Brain-Computer Interfaces, 2017, Pagina/e 1-34, ISSN 2326-263X
Editore: Taylor and Francis Online
DOI: 10.1080/2326263X.2016.1275488

Towards improved design and evaluation of epileptic seizure predictors

Autori: Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H. Brinkmann, Joni Dambre
Pubblicato in: IEEE Transactions on Biomedical Engineering, 2017, Pagina/e 1-1, ISSN 0018-9294
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TBME.2017.2700086

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

Autori: Di Wu, Lionel Pigou, Pieter-Jan Kindermans, Nam Do-Hoang Le, Ling Shao, Joni Dambre, Jean-Marc Odobez
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 38/8, 2016, Pagina/e 1583-1597, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2016.2537340

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

Autori: T Verhoeven, D Hübner, M Tangermann, K R Müller, J Dambre, P J Kindermans
Pubblicato in: Journal of Neural Engineering, Numero 14/3, 2017, Pagina/e 036021, ISSN 1741-2560
Editore: Institute of Physics Publishing
DOI: 10.1088/1741-2552/aa6639

Conference proceedings (6)

Reducing BCI calibration time with transfer learning: a shrinkage approach

Autori: T. Verhoeven, P.J. Kindermans, S. Vandenberghe, J. Dambre
Pubblicato in: Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, 2016
Editore: 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

Autori: Pieter-Jan Kindermans, David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann
Pubblicato in: NIPS Workshop on Reliable Machine Learning in the Wild, 2017
Editore: -

Improving learning from label proportions by reducing the feature dimensionality

Autori: Hübner D., Kindermans P.-J., Verhoeven T., Tangermann M.
Pubblicato in: Seventh International Brain-Computer Interface Conference 2017, 2017
Editore: Verlag der TU Graz

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

Autori: Hübner D., Verhoeven T., Schmid K., Müller K.-R., Tangermann M., Kindermans P.-J
Pubblicato in: 1st Neuroadaptive Technology Conference Berlin, 2017
Editore: Elsevier

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

Autori: Hübner D., Verhoeven T., Kindermans P.-J., Tangermann M.
Pubblicato in: Seventh International Brain-Computer Interface Conference 2017, 2017
Editore: Verlag der TU Graz

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

Autori: Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
Pubblicato in: NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems, 2016
Editore: Arxiv

Other (1)

PatternNet and PatternLRP -- Improving the interpretability of neural networks

Autori: Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
Pubblicato in: Submitted to NIPS 2017, 2017
Editore: Arxiv