Random Forests for Feature Selection in Non-invasive Brain-Computer Interfacing. - David Steyrl; Reinhold Scherer; Gernot R. Müller-Putz (CHI-KDD, 2013)

Single trial classification of fNIRS-based brain-computer interface mental arithmetic data: A comparison between different classifiers. - Günther Bauernfeind; David Steyrl; Clemens Brunner 001; Gernot R. Müller-Putz (EMBC, 2014)

Adaptive hybrid brain-computer interaction: Ask a trainer for assistance! - Gernot R. Müller-Putz; David Steyrl; Josef Faller (EMBC, 2014)

Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol. - Reinhold Scherer; Josef Faller; Eloy Opisso; Úrsula Costa; David Steyrl; Gernot R. Müller-Putz (EMBC, 2015)

A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest. - Andreas Schwarz; Reinhold Scherer; David Steyrl; Josef Faller; Gernot R. Müller-Putz (EMBC, 2015)

Reduction of EEG artifacts in simultaneous EEG-fMRI: Reference layer adaptive filtering (RLAF). - David Steyrl; Franz Patz; Gunther Krausz; Günter Edlinger; Gernot R. Müller-Putz (EMBC, 2015)

Brain-computer interface adaptation for an end user to compete in the Cybathlon. - Andreas Schwarz; David Steyrl; Gernot R. Müller-Putz (SMC, 2016)

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. - Amelie Haugg; Fabian M. Renz; Andrew A. Nicholson; Cindy Lor; Sebastian J. Götzendorfer; Ronald Sladky; Stavros Skouras; Amalia McDonald; R. Cameron Craddock; Lydia Hellrung; Matthias Kirschner; Marcus Herdener; et al. (NeuroImage, 2021)