Aurélien Appriou
Aurélien Appriou
PhD Student, Inria
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Classifying EEG signals during stereoscopic visualization to estimate visual comfort
J Frey, A Appriou, F Lotte, M Hachet
Computational intelligence and neuroscience 2016, 2016
332016
Towards robust neuroadaptive HCI: exploring modern machine learning methods to estimate mental workload from EEG signals
A Appriou, A Cichocki, F Lotte
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
132018
Natural language understanding and communication for multi-agent systems
S Trott, A Appriou, J Feldman, A Janin
2015 AAAI Fall Symposium Series, 2015
82015
Estimating visual comfort in stereoscopic displays using electroencephalography: A proof-of-concept
J Frey, A Appriou, F Lotte, M Hachet
IFIP Conference on Human-Computer Interaction, 354-362, 2015
82015
Modern machine learning algorithms to classify cognitive and affective states from electroencephalography signals
A Appriou, A Cichocki, F Lotte
IEEE Systems, Man and Cybernetics Magazine, 2020
62020
Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals
A Appriou, A Cichocki, F Lotte
IEEE Systems, Man, and Cybernetics Magazine 6 (3), 29-38, 2020
32020
Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications
K Sadatnejad, A Roc, L Pillette, T Monseigne, F Lotte
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
12020
Inria Research & Development for the Cybathlon BCI series
F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ...
International Graz Brain-Computer Interface conference, 2019
12019
Classification of attention types in EEG signals
L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte
12018
Towards measuring states of epistemic curiosity through electroencephalographic signals
A Appriou, J Ceha, S Pramij, D Dutartre, E Law, PY Oudeyer, F Lotte
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
2020
Towards Measuring states of curiosity through Electroencephalography and body sensors responses
A Appriou, J Ceha, E Law, PY Oudeyer, F Lotte
CORTICO, 2019
2019
BCPy, an open-source python platform for offline EEG signals decoding and analysis
A Appriou, L Pillette, A Cichocki, F Lotte
2018
Analysis and classification of learning-related mental states in EEG signals
A Appriou, F Lotte
2018
2020 Index IEEE Systems, Man, and Cybernetics Magazine Vol. 6
S Anastasova, A Appriou
Brain–Machine Interface Systems
L Trajkovic, J Delaney, S Perdikis, JR Millán, R Cassani, MA Moinnereau, ...
1. Page d'accueil
F Lotte, M Clerc, A Appriou, A Audino, C Benaroch
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Articles 1–16