Zobrazeno 1 - 10
of 1 419
pro vyhledávání: '"P. Gueret"'
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:
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
Autor:
Mathilde Doublet, Fabien Degalez, Sandrine Lagarrigue, Laetitia Lagoutte, Elise Gueret, Sophie Allais, Frédéric Lecerf
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0298565 (2024)
Whole Genome Sequencing (WGS) remains a costly or unsuitable method for routine genotyping of laying hens. Until now, breeding companies have been using or developing SNP chips. Nevertheless, alternatives methods based on sequencing have been develop
Externí odkaz:
https://doaj.org/article/7014c003e4044d478cdca1503156669a
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
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