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Ludovic Darmet
Ludovic Darmet
Institut des Sciences Cognitives, CNRS
Verified email at isc.cnrs.fr - Homepage
Title
Cited by
Cited by
Year
Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design
S Ladouce, L Darmet, JJ Torre Tresols, S Velut, G Ferraro, F Dehais
Scientific Reports 12 (1), 8865, 2022
292022
Retrospective on the first passive brain-computer interface competition on cross-session workload estimation
RN Roy, MF Hinss, L Darmet, S Ladouce, ES Jahanpour, B Somon, X Xu, ...
Frontiers in Neuroergonomics, 4, 2022
172022
Dual Passive Reactive Brain-Computer Interface: A Novel Approach to Human-Machine Symbiosis
F Dehais, S Ladouce, L Darmet, TV Nong, G Ferraro, J Torre Tresols, ...
Frontiers in Neuroergonomics, 7, 2022
122022
Benchmarking cEEGrid and solid gel-based electrodes to classify inattentional deafness in a flight simulator
B Somon, Y Giebeler, L Darmet, F Dehais
Frontiers in Neuroergonomics 2, 2022
102022
Disentangling copy-moved source and target areas
L Darmet, K Wang, F Cayre
Applied Soft Computing 109, 107536, 2021
92021
Improving user experience of SSVEP-BCI through reduction of stimuli amplitude depth
S Ladouce, JJT Tresols, L Darmet, G Ferraro, F Dehais
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
82021
An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021 (Version 2)[Data set]
MF Hinss, L Darmet, B Somon, E Jahanpour, F Lotte, S Ladouce, RN Roy
Neuroergonomics Conference, Munich, Germany. Zenodo, 2021
52021
GRAFT: Unsupervised adaptation to resizing for detection of image manipulation
L Darmet, K Wang, F Cayre
IEEE Access 8, 55619-55632, 2020
52020
An EEG dataset for cross-session mental workload estimation: passive BCI competition of the neuroergonomics conference 2021
MF Hinss, L Darmet, B Somon, ES Jahanpour, F Lotte, S Ladouce
Google Scholar, 2021
42021
Weakly supervised adaptation to re-sizing for image manipulation detection on small patches
L Darmet, K Wang, F Cayre
International Workshop on Digital Watermarking, 99-114, 2019
32019
GRAFT: Adaptation non-supervisée au re-dimensionnement pour la détection de manipulation d'image
L Darmet, K Wang, F Cayre
GRETSI 2019-XXVIIème Colloque francophone de traitement du signal et des images, 2019
32019
Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
KC Castillos, S Ladouce, L Darmet, F Dehais
NeuroImage 284, 120446, 2023
12023
Mental Workload Classification during simulated flight operations based on cardiac and neural dynamics recorded using the MUSE 2 low-cost system
F Dehais, S Ladouce, JJT Tresols, L Darmet, D Callan
14th International Conference on Applied Human Factors and Ergonomics (AHFE …, 2023
12023
Shortened calibration of code-VEP based BCI by improved deep learning architecture and golden subjects pre-training
L Darmet, S Ladouce, F Dehais
11th International IEEE EMBS Conference on Neural Engineering, 2023
12023
A Dual Passive & Reactive-Based SSVEP Brain Computer Interface in the Cockpit
F Dehais, S Ladouce, S Velut, TV Nong, JT Tresols, L Darmet, G Ferraro
12021
Fast and reliable hand motor imagery decoding based on beta burst rate modulations
S Papadopoulos, L Darmet, MJ Szul, M Congedo, JJ Bonaiuto, J Mattout
Neural Traces 2024, 2024
2024
Burst c-VEP Based BCI: Optimizing Stimulus Design for Enhanced Classification with Minimal Calibration Data and Improved User Experience
K Cabrera-Castillos, S Ladouce, L Darmet, F Dehais
bioRxiv, 2023.08. 18.553900, 2023
2023
Towards model-based flexible and adaptive image forensics
L Darmet
Université Grenoble Alpes, 2020
2020
TO DESIGN SAFE AND COMFORTABLESSVEP-BASED BCI»
S Ladouce, L Darmet, JT Tresols, G Ferraro, S Velut, F Dehais
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