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pro vyhledávání: '"Delvigne, Victor"'
Autor:
Hubens, Nathan, Delvigne, Victor, Mancas, Matei, Gosselin, Bernard, Preda, Marius, Zaharia, Titus
The advent of sparsity inducing techniques in neural networks has been of a great help in the last few years. Indeed, those methods allowed to find lighter and faster networks, able to perform more efficiently in resource-constrained environment such
Externí odkaz:
http://arxiv.org/abs/2303.10999
For many years now, understanding the brain mechanism has been a great research subject in many different fields. Brain signal processing and especially electroencephalogram (EEG) has recently known a growing interest both in academia and industry. O
Externí odkaz:
http://arxiv.org/abs/2204.07162
Autor:
Delvigne, Victor, Tits, Noé, La Fisca, Luca, Hubens, Nathan, Maiorca, Antoine, Wannous, Hazem, Dutoit, Thierry, Vandeborre, Jean-Philippe
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, artificial intelligence and medicine. One of the most common approaches to estimate a saliency map representing attention is based
Externí odkaz:
http://arxiv.org/abs/2201.03902
Autor:
Delvigne, Victor, Facchini, Antoine, Wannous, Hazem, Dutoit, Thierry, Ris, Laurence, Vandeborre, Jean-Philippe
Among the different modalities to assess emotion, electroencephalogram (EEG), representing the electrical brain activity, achieved motivating results over the last decade. Emotion estimation from EEG could help in the diagnosis or rehabilitation of c
Externí odkaz:
http://arxiv.org/abs/2201.03891
Akademický článek
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Autor:
Delvigne, Victor, Tits, Noé, La Fisca, Luca, Hubens, Nathan, Maiorca, Antoine, Wannous, Hazem, Dutoit, Thierry, Vandeborre, Jean-Philippe
Publikováno v:
Informatics; Mar2022, Vol. 9 Issue 1, p26-N.PAG, 15p
Autor:
Patino Lopez, Jonathan Rafael, Yu, Thomas, Delvigne, Victor, Barakovic, Muhamed, Pizzolato, Marco, Girard, Gabriel, Jones, Derek K., Canales Rodriguez, Erick Jorge, Thiran, Jean-Philippe
Diffusion MRI (DW-MRI) allows for the detailed exploration of the brain white matter microstructure, with applications in both research and the clinic. However, state-of-the-art methods for microstructure estimation suffer from known limitations, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::fae8c8331f2daadf8fd9041b9059ccbb
https://infoscience.epfl.ch/record/280877
https://infoscience.epfl.ch/record/280877
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2022 Jul; Vol. 2022, pp. 3170-3174.