Improving Learning from Label proportions by Reducing the Feature Dimensionality. - David Hübner; Pieter-Jan Kindermans; Thibault Verhoeven; Michael Tangermann (GBCIC, 2017)

Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. - David Hübner; Thibault Verhoeven; Pieter-Jan Kindermans; Michael Tangermann (GBCIC, 2017)

Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. - David Hübner; Thibault Verhoeven; Konstantin Schmid; Klaus-Robert Müller; Michael Tangermann; Pieter-Jan Kindermans (CoRR, 2017)

Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. - David Hübner; Thibault Verhoeven; Klaus-Robert Müller; Pieter-Jan Kindermans; Michael Tangermann (IEEE Comput. Intell. Mag., 2018)

Towards Improved Design and Evaluation of Epileptic Seizure Predictors. - Iryna Korshunova; Pieter-Jan Kindermans; Jonas Degrave; Thibault Verhoeven; Benjamin H. Brinkmann; Joni Dambre (IEEE Trans. Biomed. Eng., 2018)

Leveraging Robotics Research for Children with Autism: A Review. - Luthffi Idzhar Ismail; Thibault Verhoeven; Joni Dambre; Francis Wyffels (Int. J. Soc. Robotics, 2019)

Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. - David Hübner; Pieter-Jan Kindermans; Thibault Verhoeven; Klaus-Robert Müller; Michael Tangermann (Brain-Computer Interface Research (7), 2019)