Zobrazeno 1 - 10 of 51 pro vyhledávání: '"Céline Rouveirol"'
1
Conférence Nationale d'Intelligence Artificielle Année 2021
Autor: Olivier Boissier, Zied Bouraoui, Stephan Brunessaux, Sylvie Doutre, Jean-Paul Jamont, Abir Karami, Maxime Lefrançois, Céline Rouveirol, François Schartzentruber, Yves Demazeau, Thomas Guyet, Dominique Longin, Frédéric Maris
Publikováno v: Plate-Forme Intelligence Artificielle 2021
Association Française pour l'Intelligence Artificielle (AFIA). Plate-Forme Intelligence Artificielle 2021, Jun 2021, Bordeaux, France. 2021
Association Française pour l'Intelligence Artificielle (AFIA). Plate-Forme Intelligence Artificielle 2021, Jun 2021, Bordeaux, France., 2021
HAL
National audience
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1d401faec915b4aa577150f124243a76
https://hal.archives-ouvertes.fr/hal-03353852
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2
Mining Contextual Rules to Predict Asbestos in Buildings
Autor: Nathalie Pernelle, Thamer Mecharnia, Céline Rouveirol, Lydia Chibout Khelifa, Fayçal Hamdi
Publikováno v: Graph-Based Representation and Reasoning ISBN: 9783030869816
ICCS
Lecture Notes in Computer Science
Graph-Based Representation and Reasoning
Graph-Based Representation and Reasoning, Sep 2021, En ligne, France. pp.170-184, ⟨10.1007/978-3-030-86982-3_13⟩
International audience; In the context of the work conducted at CSTB (French Scientific and Technical Center for Building), the need for a tool providing assistance in the identification of asbestos-containing materials in buildings was identified. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::114d4f42ae5cdba9d53727b10c7a21f1
https://doi.org/10.1007/978-3-030-86982-3_13
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3
Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast
Autor: Ross D. King, Jacek Grzebyta, Martin Carpenter, Jan Ramon, Henry Soldano, Céline Rouveirol, Guillaume Santini, Anthony Coutant, Katherine Roper, Larisa N. Soldatova, Daniel Trejo-Banos, Dominique Bouthinon, Mohamed Elati
Publikováno v: Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2019, 116 (36), pp.18142-18147. ⟨10.1073/pnas.1900548116⟩
Coutant, A, Roper, K, Trejo-Banos, D, Bouthinon, D, Carpenter, M, Grzebyta, J, Santini, G, Soldano, H, Ramon, J, Elati, M, Rouveirol, C, Soldatova, L N & King, R D 2019, ' Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast ', Proceedings of the National Academy of Sciences . https://doi.org/10.1073/pnas.1900548116
Significance Systems biology involves the development of large computational models of biological systems. The radical improvement of systems biology models will necessarily involve the automation of model improvement cycles. We present here a genera
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41354083455acea5896fd0c405eca5fd
https://bura.brunel.ac.uk/handle/2438/24216
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4
The Game of Bridge: A Challenge for ILP
Autor: Véronique Ventos, Swann Legras, Céline Rouveirol
Publikováno v: Inductive Logic Programming ISBN: 9783319999593
ILP
Designs of champion-level systems dedicated to a game have been considered as milestones for Artificial Intelligence. Such a success has not yet happened for the game of Bridge because (i) Bridge is a partially observable game (ii) a Bridge player mu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b1511d7eb842528fc186e67a76bb7c5
https://doi.org/10.1007/978-3-319-99960-9_5
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5
Collaborative Decision in Multi-Agent Learning of Action Models
Autor: Christophe Rodrigues, Céline Rouveirol, Henry Soldano, Gauvain Bourgne
Publikováno v: ICTAI 2016-IEEE 28th International Conference on Tools with Artificial Intelligence
ICTAI 2016-IEEE 28th International Conference on Tools with Artificial Intelligence, Nov 2016, San Jose, United States. pp.640-647, ⟨10.1109/ICTAI.2016.0103⟩
ICTAI
International audience; We address collaborative decision in the Multi-Agent Consistency-based online learning of relational action models. This framework considers a community of agents, each of them learning and rationally acting following their re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67b895f4a8ebecd237b018364e26c8fe
https://hal.archives-ouvertes.fr/hal-02173955
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6
Collaborative Online Learning of an Action Model
Autor: Christophe Rodrigues, Céline Rouveirol, Henry Soldano, Gauvain Bourgne
Publikováno v: Solving Large Scale Learning Tasks. Challenges and Algorithms-Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday
Stefan Michaelis, Nico Piatkowski and Marco Stolpe. Solving Large Scale Learning Tasks. Challenges and Algorithms-Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, 9580, Springer, pp.300-319, 2016, Lecture Notes in Computer Science, 978-3-319-41705-9
Solving Large Scale Learning Tasks. Challenges and Algorithms ISBN: 9783319417059
Solving Large Scale Learning Tasks
International audience; A number of recent works have designed algorithms that allow an agent to revise a relational action model from interactions with its environment and uses this model for building plans and better exploring its environment. This
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7b7fb7c95c93c5c7f657dc1e76278dc
https://hal.archives-ouvertes.fr/hal-02173951
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8
Fouille de données pour l'extraction de grands réseaux de régulation génétique
Autor: François Radvanyi, Mohamed Elati, Céline Rouveirol
Publikováno v: Techniques et sciences informatiques. 26:173-196
One of the most promising but challenging tasks in the post-genomic era is to reconstruct transcriptional regulatory networks from gene expression data. We propose an alternative heuristic solution to those implemented in Bayesian approaches for infe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b412786bda412fb2bce152f455e4dfe6
https://doi.org/10.3166/tsi.26.173-196
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10
Hybrid method inference for the construction of cooperative regulatory network in human
Autor: Céline Rouveirol, I. Chebil, Mohamed Elati, Rémy Nicolle, Guillaume Santini
Publikováno v: BIBM
Reconstruction of large scale gene regulatory networks (GRNs in the following) is an important step for understanding the complex regulatory mechanisms within the cell. Many modeling approaches have been introduced to find the causal relationship bet
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84dc39523b816ac807f7366a5532cd8c
https://pubmed.ncbi.nlm.nih.gov/24771593
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