Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Reyboz, Marina"'
Autor:
Bayle, Raphaël1,2 (AUTHOR) raphael.bayle@univ-grenoble-alpes.fr, Reyboz, Marina1 (AUTHOR), Lomet, Aurore3 (AUTHOR), Cook, Victor2 (AUTHOR) martial.mermillod@univ-grenoble-alpes.fr, Mermillod, Martial2 (AUTHOR)
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 18, p4734. 27p.
Autor:
Bernhard, Rémi, Moellic, Pierre-Alain, Mermillod, Martial, Bourrier, Yannick, Cohendet, Romain, Solinas, Miguel, Reyboz, Marina
Adversarial examples mainly exploit changes to input pixels to which humans are not sensitive to, and arise from the fact that models make decisions based on uninterpretable features. Interestingly, cognitive science reports that the process of inter
Externí odkaz:
http://arxiv.org/abs/2104.12679
Autor:
Bouvier, Maxence, Valentian, Alexandre, Mesquida, Thomas, Rummens, François, Reyboz, Marina, Vianello, Elisa, Beigné, Edith
Neuromorphic computing is henceforth a major research field for both academic and industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at bringing closer the memory and the computational elements to efficiently evaluat
Externí odkaz:
http://arxiv.org/abs/2005.01467
Publikováno v:
IEEE, pp.2400-2409, 2023, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ⟨10.1109/WACV56688.2023.00243⟩
Recent class-incremental learning methods combine deep neural architectures and learning algorithms to handle streaming data under memory and computational constraints. The performance of existing methods varies depending on the characteristics of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a21a88e1154785a0ea96a3b77dd56471
https://hal-cea.archives-ouvertes.fr/cea-04041942/file/AdvisIL_author-version_NoteIEEE.pdf
https://hal-cea.archives-ouvertes.fr/cea-04041942/file/AdvisIL_author-version_NoteIEEE.pdf
Autor:
Turkyilmaz, Ogun, Onkaraiah, Santhosh, Reyboz, Marina, Clermidy, Fabien, Hraziia, Anghel, Costin, Portal, Jean-Michel, Bocquet, Marc
Publikováno v:
In Journal of Parallel and Distributed Computing June 2014 74(6):2441-2451
Autor:
Hraziia, Makosiej, Adam, Palma, Giorgio, Portal, Jean-Michel, Bocquet, Marc, Thomas, Olivier, Clermidy, Fabien, Reyboz, Marina, Onkaraiah, Santhosh, Muller, Christophe, Deleruyelle, Damien, Vladimirescu, Andrei, Amara, Amara, Anghel, Costin
Publikováno v:
In Solid State Electronics December 2013 90:99-106
Autor:
Cousin, Bastien, Reyboz, Marina, Rozeau, Olivier, Jaud, Marie-Anne, Ernst, Thomas, Jomaah, Jalal
Publikováno v:
In Solid State Electronics February 2011 56(1):40-46
Publikováno v:
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Sep 2021, Nara-Online, Japan
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Sep 2021, Nara-Online, Japan
International audience; Continual learning is a growing challenge of artificial intelligence. Among algorithms alleviating catastrophic forgetting that have been developed in the past years, only few studies were focused on face emotion recognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1dee7cf4fc51c96408d40a802e9069d8
https://hal-cea.archives-ouvertes.fr/cea-03474722
https://hal-cea.archives-ouvertes.fr/cea-03474722
Autor:
Cohendet, Romain, Solinas, Miguel, Bernhard, Rémi, Reyboz, Marina, Moellic, Pierre-Alain, Bourrier, Yannick, Mermillod, Martial
Publikováno v:
ICMLA 2021-20th IEEE International Cconference on Machine Learning and Applications
ICMLA 2021-20th IEEE International Cconference on Machine Learning and Applications, Dec 2021, Pasadena (Virtual event), United States
ICMLA 2021-20th IEEE International Cconference on Machine Learning and Applications, Dec 2021, Pasadena (Virtual event), United States
International audience; The vulnerability of Deep Neural Network (DNN) modelsto maliciously crafted adversarial perturbations is acritical topic considering their ongoing large-scale deployment.In this work, we explore an interesting phenomenonthat o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75de3727553bcffd56f8b1829417c7f6
https://hal.archives-ouvertes.fr/hal-03173407
https://hal.archives-ouvertes.fr/hal-03173407
Publikováno v:
In Solid State Electronics July-August 2006 50(7-8):1276-1282