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 - A State-of-the-Art Summary 7, 2019)

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)

Improving Learning from Label proportions by Reducing the Feature Dimensionality - David Hübner; Pieter-Jan Kindermans; Thibault Verhoeven; Michael Tangermann (From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference, GBCIC 2017, Graz, Steiermark, Austria, September 18-22, 2017, 2017)

Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation - David Hübner; Thibault Verhoeven; Pieter-Jan Kindermans; Michael Tangermann (From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference, GBCIC 2017, Graz, Steiermark, Austria, September 18-22, 2017, 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)