Zobrazeno 1 - 10
of 3 881
pro vyhledávání: '"A, Fleuriot"'
Humans naturally follow distinct patterns when conducting their daily activities, which are driven by established practices and processes, such as production workflows, social norms and daily routines. Human activity recognition (HAR) algorithms usua
Externí odkaz:
http://arxiv.org/abs/2411.08814
Autor:
DeLong, Lauren Nicole, Gadiya, Yojana, Galdi, Paola, Fleuriot, Jacques D., Domingo-Fernández, Daniel
Neurosymbolic (NeSy) artificial intelligence describes the combination of logic or rule-based techniques with neural networks. Compared to neural approaches, NeSy methods often possess enhanced interpretability, which is particularly promising for bi
Externí odkaz:
http://arxiv.org/abs/2410.05289
This paper describes a formal theory of smooth vector fields, Lie groups and the Lie algebra of a Lie group in the theorem prover Isabelle. Lie groups are abstract structures that are composable, invertible and differentiable. They are pervasive as m
Externí odkaz:
http://arxiv.org/abs/2407.19211
Autor:
Fleuriot, Pierre
Publikováno v:
Revue d'économie financière, 1992 Jul 01(21), 273-280.
Externí odkaz:
https://www.jstor.org/stable/42903009
Autor:
Francis Fleuriot-Kerinou
Zénaïde Fleuriot naquit le 28 octobre 1329 à Saint-Brieuc, la vieille cité bretonne. Elle-même nous parle ainsi de sa ville natale, dans l'un de ses ouvrages de prédilection : « Lecteurs, jetez avec moi, je vous prie, un regard vers le passé
Autor:
Katerina Jureckova, Marketa Nykrynova, Eva Slaninova, Hugo Fleuriot-Blitman, Véronique Amstutz, Kristyna Hermankova, Matej Bezdicek, Katerina Mrazova, Kamila Hrubanova, Manfred Zinn, Stanislav Obruca, Karel Sedlar
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2681-2694 (2024)
Purple photosynthetic bacteria (PPB) are versatile microorganisms capable of producing various value-added chemicals, e.g., biopolymers and biofuels. They employ diverse metabolic pathways, allowing them to adapt to various growth conditions and even
Externí odkaz:
https://doaj.org/article/7acfc2e4bee64fea8dac5675237b242c
Autor:
DeLong, Lauren Nicole, Mir, Ramon Fernández, Ji, Zonglin, Smith, Fiona Niamh Coulter, Fleuriot, Jacques D.
Biomedical datasets are often modeled as knowledge graphs (KGs) because they capture the multi-relational, heterogeneous, and dynamic natures of biomedical systems. KG completion (KGC), can, therefore, help researchers make predictions to inform task
Externí odkaz:
http://arxiv.org/abs/2307.08411
Autor:
Konstantin Georgiev, Dimitrios Doudesis, Joanne McPeake, Nicholas L Mills, Jacques Fleuriot, Susan D Shenkin, Atul Anand
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Many hospitalised patients require rehabilitation during recovery from acute illness. We use routine data from Electronic Health Records (EHR) to report the quantity and intensity of rehabilitation required to achieve hospital dis
Externí odkaz:
https://doaj.org/article/b1d7ffc4fee340498cc6574f97f82ab9
Autor:
Mathieu Laurens-Berge
Publikováno v:
Archéologie Médiévale, Vol 49, p 324 (2019)
Externí odkaz:
https://doaj.org/article/be0198a43613400ca2385d972b5dc544
Neurosymbolic AI is an increasingly active area of research that combines symbolic reasoning methods with deep learning to leverage their complementary benefits. As knowledge graphs are becoming a popular way to represent heterogeneous and multi-rela
Externí odkaz:
http://arxiv.org/abs/2302.07200