Zobrazeno 1 - 10
of 1 390
pro vyhledávání: '"Guéret, P"'
Publikováno v:
Cell Reports Sustainability 1 (2024) 100241
Electrifying the car fleet is a major strategy for mitigating emissions in the transport sector. As electrification cannot solve all negative externalities associated with cars, reducing the size of the car fleet would be beneficial. Electric carshar
Externí odkaz:
http://arxiv.org/abs/2402.19380
Knowledge Graphs (KGs) have become increasingly common for representing large-scale linked data. However, their immense size has required graph learning systems to assist humans in analysis, interpretation, and pattern detection. While there have bee
Externí odkaz:
http://arxiv.org/abs/2402.06098
Counterfactual explanations are an increasingly popular form of post hoc explanation due to their (i) applicability across problem domains, (ii) proposed legal compliance (e.g., with GDPR), and (iii) reliance on the contrastive nature of human explan
Externí odkaz:
http://arxiv.org/abs/2303.09297
Autor:
Isabelle Gouin-Thibault, Alexandre Mansour, Michael Hardy, Pierre Guéret, Emmanuel de Maistre, Virginie Siguret, Adam Cuker, François Mullier, Thomas Lecompte
Publikováno v:
TH Open, Vol 08, Iss 03, Pp e297-e307 (2024)
Externí odkaz:
https://doaj.org/article/0010def081174c3593e038609e5a1970
Autor:
Cecilia Rengifo Rojas, Jil Cercy, Sophie Perillous, Céline Gonthier-Guéret, Bertille Montibus, Stéphanie Maupetit-Méhouas, Astrid Espinadel, Marylou Dupré, Charles C. Hong, Kenichiro Hata, Kazuhiko Nakabayashi, Antonius Plagge, Tristan Bouschet, Philippe Arnaud, Isabelle Vaillant, Franck Court
Publikováno v:
HGG Advances, Vol 5, Iss 2, Pp 100271- (2024)
Summary: It is only partially understood how constitutive allelic methylation at imprinting control regions (ICRs) interacts with other regulation levels to drive timely parental allele-specific expression along large imprinted domains. The Peg13-Kcn
Externí odkaz:
https://doaj.org/article/d7cbd17169d146879f77c972bc9cd96b
Autor:
Ryan, Cathal, Guéret, Christophe, Berry, Donagh, Corcoran, Medb, Keane, Mark T., Mac Namee, Brian
Mastitis is a billion dollar health problem for the modern dairy industry, with implications for antibiotic resistance. The use of AI techniques to identify the early onset of this disease, thus has significant implications for the sustainability of
Externí odkaz:
http://arxiv.org/abs/2101.02188
Publikováno v:
Journal of Dairy Science, Vol 106, Iss 7, Pp 4978-4990 (2023)
ABSTRACT: Subclinical mastitis in cows affects their health, well-being, longevity, and performance, leading to reduced productivity and profit. Early prediction of subclinical mastitis can enable dairy farmers to perform interventions to mitigate it
Externí odkaz:
https://doaj.org/article/a760c81dec7b433389175d91467355a7
The aim of this study was to build a modelling framework that would allow us to be able to detect mastitis infections before they would normally be found by farmers through the introduction of machine learning techniques. In the making of this we cre
Externí odkaz:
http://arxiv.org/abs/2011.03344
Autor:
Gsponer, Severin, Costabello, Luca, Van, Chan Le, Pai, Sumit, Gueret, Christophe, Ifrim, Georgiana, Lecue, Freddy
Sequence classification is the supervised learning task of building models that predict class labels of unseen sequences of symbols. Although accuracy is paramount, in certain scenarios interpretability is a must. Unfortunately, such trade-off is oft
Externí odkaz:
http://arxiv.org/abs/2006.14248
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.