Zobrazeno 1 - 10
of 1 686
pro vyhledávání: '"A. Audemard"'
This document represents the proceedings of the 2023 XCSP3 Competition. The results of this competition of constraint solvers were presented at CP'23 (the 29th International Conference on Principles and Practice of Constraint Programming, held in Tor
Externí odkaz:
http://arxiv.org/abs/2312.05877
Boosted trees is a dominant ML model, exhibiting high accuracy. However, boosted trees are hardly intelligible, and this is a problem whenever they are used in safety-critical applications. Indeed, in such a context, rigorous explanations of the pred
Externí odkaz:
http://arxiv.org/abs/2209.07740
This document represents the proceedings of the 2022 XCSP3 Competition. The results of this competition of constraint solvers were presented at FLOC (Federated Logic Conference) 2022 Olympic Games, held in Haifa, Israel from 31th July 2022 to 7th Aug
Externí odkaz:
http://arxiv.org/abs/2209.00917
Autor:
Gábor Orosz, Laura Faragó, Benedek Paskuj, Zsófia Rakovics, Diane Sam-Mine, Gilles Audemard, Mouny Samy Modeliar, Péter Krekó
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The present work is the first to comprehensively analyze the gravity of the misinformation problem in Hungary, where misinformation appears regularly in the pro-governmental, populist, and socially conservative mainstream media. In line with
Externí odkaz:
https://doaj.org/article/8bad6f58643b49d19ace274ab276e9f9
Autor:
Marie-Eve Bordeleau, Éric Audemard, Arnaud Métois, Louis Theret, Véronique Lisi, Azer Farah, Jean-François Spinella, Jalila Chagraoui, Ossama Moujaber, Léo Aubert, Banafsheh Khakipoor, Laure Mallinger, Isabel Boivin, Nadine Mayotte, Azadeh Hajmirza, Éric Bonneil, François Béliveau, Sybille Pfammatter, Albert Feghaly, Geneviève Boucher, Patrick Gendron, Pierre Thibault, Frédéric Barabé, Sébastien Lemieux, Guillaume Richard-Carpentier, Josée Hébert, Vincent-Philippe Lavallée, Philippe P. Roux, Guy Sauvageau
Publikováno v:
Cell Reports, Vol 43, Iss 6, Pp 114260- (2024)
Summary: Immunotherapy remains underexploited in acute myeloid leukemia (AML) compared to other hematological malignancies. Currently, gemtuzumab ozogamicin is the only therapeutic antibody approved for this disease. Here, to identify potential targe
Externí odkaz:
https://doaj.org/article/8cf475f1511748f0b536ab3c7b29e97a
Autor:
Kerneur, Clément, Foucher, Etienne, Guillén Casas, Jaime, Colazet, Magali, Le, Kieu-Suong, Fullana, Marie, Bergot, Elise, Audemard, Corentin, Drapeau, Marion, Louche, Pauline, Gorvel, Laurent, Rouvière, Marie-Sarah, Boucherit, Nicolas, Audebert, Stéphane, Magrini, Elena, Carnevale, Silvia, de Gassart, Aude, Madakamutil, Loui, Mantovani, Alberto, Garlanda, Cecilia, Agaugué, Sophie, Cano, Carla E., Olive, Daniel
Publikováno v:
In Cell Reports 22 October 2024 43(10)
Autor:
Bottieau, J., Audemard, G., Bellart, S., Lagniez, J-M., Marquis, P., Szczepanski, N., Toubeau, J.-F.
Publikováno v:
In Electric Power Systems Research October 2024 235
Autor:
Bordeleau, Marie-Eve, Audemard, Éric, Métois, Arnaud, Theret, Louis, Lisi, Véronique, Farah, Azer, Spinella, Jean-François, Chagraoui, Jalila, Moujaber, Ossama, Aubert, Léo, Khakipoor, Banafsheh, Mallinger, Laure, Boivin, Isabel, Mayotte, Nadine, Hajmirza, Azadeh, Bonneil, Éric, Béliveau, François, Pfammatter, Sybille, Feghaly, Albert, Boucher, Geneviève, Gendron, Patrick, Thibault, Pierre, Barabé, Frédéric, Lemieux, Sébastien, Richard-Carpentier, Guillaume, Hébert, Josée, Lavallée, Vincent-Philippe, Roux, Philippe P., Sauvageau, Guy
Publikováno v:
In Cell Reports 25 June 2024 43(6)
Autor:
Carlos Eduardo Reinoza-Gomez, Franck Albert Audemard-M., Ruy Pereira, Lenín Ortega, Michael Schmitz, Luis Alejandro Yegres-Herrera, Héctor Mora-Páez
Publikováno v:
Boletín Geológico, Vol 51, Iss 1 (2024)
We show new geodetic velocity field for Western Venezuela based on repeated GNSS campaign measurements in 2011, 2013, and 2016. The 28 sites are distributed on the northern side of the Oca-Ancon fault, the eastern Maracaibo Block, and vicinities to t
Externí odkaz:
https://doaj.org/article/98b34dfe62aa4148b4b41a2f6a28c474
Autor:
Audemard, Gilles, Bellart, Steve, Bounia, Louenas, Koriche, Frédéric, Lagniez, Jean-Marie, Marquis, Pierre
Random forests have long been considered as powerful model ensembles in machine learning. By training multiple decision trees, whose diversity is fostered through data and feature subsampling, the resulting random forest can lead to more stable and r
Externí odkaz:
http://arxiv.org/abs/2108.05276