Natural Language Understanding and Communication for Multi-Agent Systems. - Sean Trott; Aurélien Appriou; Jerome Feldman; Adam Janin (AAAI Fall Symposia, 2015)

Estimating Visual Comfort in Stereoscopic Displays Using Electroencephalography: A Proof-of-Concept. - Jérémy Frey; Aurélien Appriou; Fabien Lotte; Martin Hachet (INTERACT (4), 2015)

Classifying EEG Signals during Stereoscopic Visualization to Estimate Visual Comfort. - Jérémy Frey; Aurélien Appriou; Fabien Lotte; Martin Hachet (Comput. Intell. Neurosci., 2016)

Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals. - Aurélien Appriou; Andrzej Cichocki; Fabien Lotte (CHI Extended Abstracts, 2018)

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications. - Khadijeh Sadatnejad; Aline Roc; Léa Pillette; Aurélien Appriou; Thibaut Monseigne; Fabien Lotte (ICASSP, 2020)

Towards measuring states of epistemic curiosity through electroencephalographic signals. - Aurélien Appriou; Jessy Ceha; Smeety Pramij; Dan Dutartre; Edith Law; Pierre-Yves Oudeyer; Fabien Lotte (SMC, 2020)

Estimating learning-related mental states through brain and physiological signals. (Évaluation des états mentaux liés à l'apprentissage à partir de signaux cérébraux et physiologiques). - Aurélien Appriou (2020)

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. - Aurélien Appriou; Léa Pillette; David Trocellier; Dan Dutartre; Andrzej Cichocki; Fabien Lotte (Sensors, 2021)