Community Research and Development Information Service - CORDIS

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

From 2015-04-01 to 2017-03-31, closed project

Project details

Total cost:

EUR 159 460,80

EU contribution:

EUR 159 460,80

Coordinated in:

Germany

Call for proposal:

H2020-MSCA-IF-2014See other projects for this call

Funding scheme:

MSCA-IF-EF-ST - Standard EF

Objective

Deliverables

Deliverables not available

Publications

  • 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. 
  • 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. 
  • 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. 
  • 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. 
  • Reducing BCI calibration time with transfer learning: a shrinkage approach
    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. 
    DOI: 10.3217/978-3-85125-467-9-133
  • 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. 
  • 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. 

Coordinator

TECHNISCHE UNIVERSITAET BERLIN
Germany

EU contribution: EUR 159 460,80


STRASSE DES 17 JUNI 135
10623 BERLIN
Germany
Activity type: Higher or Secondary Education Establishments

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