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

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

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

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

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

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

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