Aurélien Appriou

Inria Research & Development for the Cybathlon BCI series

Théodore Papadopoulo, Maureen Clerc, Fabien Lotte, 2019 .

Estimating Visual Comfort in Stereoscopic Displays Using Electroencephalography: A Proof-of-Concept pdf

Jérémy Frey, Fabien Lotte, Martin Hachet, 2015, INTERACT.

Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals

Andrzej Cichocki, Fabien Lotte, Aurélien Appriou, 2018, CHI Extended Abstracts.

Analysis and classification of learning-related mental states in EEG signals

Fabien Lotte, Aurélien Appriou, 2018 .

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications

Fabien Lotte, Léa Pillette, Aline Roc, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classifying EEG Signals during Stereoscopic Visualization to Estimate Visual Comfort

Jérémy Frey, Fabien Lotte, Martin Hachet, 2015, Comput. Intell. Neurosci..

Natural Language Understanding and Communication for Multi-Agent Systems

Jerome A. Feldman, Adam Janin, Aurélien Appriou, 2015, AAAI Fall Symposia.

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

Andrzej Cichocki, Fabien Lotte, Léa Pillette, 2021, Sensors.