Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anirudha Kemtur"'
Autor:
Philipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O’Byrne, Karim Jerbi
Publikováno v:
NeuroImage, Vol 277, Iss , Pp 120253- (2023)
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbal
Externí odkaz:
https://doaj.org/article/5a4ec21c2d304490b2ba04066277b185
Autor:
Philipp Thölke, Yorguin-Jose Mantilla-Ramos, Hamza Abdelhedi, Charlotte Maschke, Arthur Dehgan, Yann Harel, Anirudha Kemtur, Loubna Mekki Berrada, Myriam Sahraoui, Tammy Young, Antoine Bellemare Pépin, Clara El Khantour, Mathieu Landry, Annalisa Pascarella, Vanessa Hadid, Etienne Combrisson, Jordan O’Byrne, Karim Jerbi
Machine learning (ML) is increasingly used in cognitive, computational and clinical neuroscience. The reliable and efficient application of ML requires a sound understanding of its subtleties and limitations. Training ML models on datasets with imbal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d0297a762fc3c52484c90beaf3af92
https://hal.science/hal-03764712
https://hal.science/hal-03764712
Autor:
Aashay Mehta, Yash Raj Jain, Anirudha Kemtur, Jugoslav Stojcheski, Saksham Consul, Mateo Tošić, Falk Lieder
Teaching people clever heuristics is a promising approach to improve decision-making under uncertainty. The theory of resource rationality makes it possible to leverage machine learning to discover optimal heuristics automatically. One bottleneck of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::708bde7f209c01d4b968f8cc745a3fec
Autor:
Anirudha Kemtur, Francois Paugam, Basile Pinsard, Pravish sainath, Yann Harel, Maximilien Le clei, Julie Boyle, Karim Jerbi, Pierre Bellec
Publikováno v:
2022 Conference on Cognitive Computational Neuroscience.
Autor:
Pierre Bellec
Artificial neural networks can successfully play video games, yet these AI agents have difficulty adapting to changes in the game environment, or transfer knowledge across different games. As human players can efficiently transfer skills across envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c036b67e41aa02c95e09f82af6bed3