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 | 86 | 2020 |
Classifying EEG signals during stereoscopic visualization to estimate visual comfort J Frey, A Appriou, F Lotte, M Hachet Computational intelligence and neuroscience 2016, 7-7, 2016 | 52 | 2016 |
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 | 37 | 2018 |
Long-term BCI training of a tetraplegic user: adaptive riemannian classifiers and user training C Benaroch, K Sadatnejad, A Roc, A Appriou, T Monseigne, S Pramij, ... Frontiers in Human Neuroscience 15, 635653, 2021 | 36 | 2021 |
Natural language understanding and communication for multi-agent systems S Trott, A Appriou, J Feldman, A Janin 2015 AAAI Fall Symposium Series, 2015 | 14 | 2015 |
Biopyc, an open-source python toolbox for offline electroencephalographic and physiological signals classification A Appriou, L Pillette, D Trocellier, D Dutartre, A Cichocki, F Lotte Sensors 21 (17), 5740, 2021 | 10 | 2021 |
Estimating visual comfort in stereoscopic displays using electroencephalography: A proof-of-concept J Frey, A Appriou, F Lotte, M Hachet Human-Computer Interaction–INTERACT 2015: 15th IFIP TC 13 International …, 2015 | 8 | 2015 |
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 | 7 | 2020 |
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 | 5 | 2020 |
Inria research & development for the Cybathlon BCI series F Lotte, M Clerc, A Appriou, A Audino, C Benaroch, P Giacalone, C Jeunet, ... 8th Graz Brain-Computer Interface Conference 2019, 2019 | 3 | 2019 |
Classification of attention types in EEG signals L Pillette, A Appriou, A Cichocki, B N'Kaoua, F Lotte 7th International BCI Meeting, 2018 | 3 | 2018 |
Tools for affective, cognitive and conative states estimation from both EEG and physiological signals A Appriou, F Lotte Neuroergonomics Conference (NEC), 2021 | 1 | 2021 |
Estimating learning-related mental states through brain and physiological signals. A Appriou Université de Bordeaux, 2020 | 1 | 2020 |
Towards measuring states of curiosity through electroencephalography and body sensors responses A Appriou, J Ceha, E Law, PY Oudeyer, F Lotte Journées CORTICO, 2019 | 1 | 2019 |
Riemannian ElectroCardioGraphic signal classification A Appriou, F Lotte Latin-American Workshop on Computational Neuroscience (LAWCN 2023), 2023 | | 2023 |
Exploring the evolution of users' subjective ratings in three Motor Imagery (MI)-based BCI sessions A Roc, L Kolodzienski, A Appriou, T Monseigne, P Dreyer, F Lotte CORTICO 2022: Invasive and non invasive Brain-Computer Interfaces–A …, 2022 | | 2022 |
Apprendre à contrôler une interface cerveau-ordinateur: le projet BrainConquest F Lotte, A Appriou, C Benaroch, P Dreyer, A Er, T Monseigne, L Pillette, ... Annales des Mines-Réalités industrielles, 16-22, 2021 | | 2021 |
Towards understanding the impact of mental task execution on user's state, experience and performances L Kolodzienski, A Roc, A Appriou, F Lotte | | 2021 |
Aline Roc F Lotte, L Pillette, A Appriou Léa, 2021 | | 2021 |
Évaluation des états mentaux liés à l'apprentissage à partir de signaux cérébraux et physiologiques A Appriou | | 2020 |