Zobrazeno 1 - 10 of 135 pro vyhledávání: '"Laurent, Meunier"'
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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking
Autor: Laurent Meunier, Paco Wong, Jeremy Rapin, Antoine Moreau, Olivier Teytaud, Carola Doerr, Baptiste Roziere, Herilalaina Rakotoarison
Publikováno v: IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/TEVC.2021.3108185⟩
IEEE Transactions on Evolutionary Computation, 2022, 26 (3), ⟨10.1109/TEVC.2021.3108185⟩
International audience; Existing studies in black-box optimization for machine learning suffer from low generalizability, caused by a typically selective choice of problem instances used for training and testing different optimization algorithms. Amo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fbcfd6a75886d3c3de71ad8638fc88d
https://doi.org/10.1109/tevc.2021.3108185
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4
Diagnostic Accuracy of Digital Staining ex vivo Confocal Microscopy for Diagnosing and Subtyping Basal Cell Carcinoma in Fresh Pretherapeutic Punch Biopsies: A Monocentric Prospective Study
Autor: Blanche Bergeret, Farzaneh Masset, Yona D. Bekoy, Pascal Roger, François Habib, Bernadette Ovtchinnikoff, Laurent Meunier, Pierre E. Stoebner
Publikováno v: Dermatology. 238:1139-1145
Background: Ex vivo confocal microscopy using fusion mode and digital staining (EVCM) scans unfixed fresh tissue and produces rapidly digitally stained images of very similar quality to classical pathology. We investigated whether EVCM could represen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ceb8e177944dea65fca724f0a210125
https://doi.org/10.1159/000524349
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6
Akademický článek
S100-EPISPOT: A New Tool to Detect Viable Circulating Melanoma Cells
Autor: Laure Cayrefourcq, Aurélie De Roeck, Caroline Garcia, Pierre-Emmanuel Stoebner, Fanny Fichel, Françoise Garima, Françoise Perriard, Jean-Pierre Daures, Laurent Meunier, Catherine Alix-Panabières
Publikováno v: Cells, Vol 8, Iss 7, p 755 (2019)
Metastatic melanoma is one of the most aggressive and drug-resistant cancers with very poor overall survival. Circulating melanoma cells (CMCs) were first described in 1991. However, there is no general consensus on the clinical utility of CMC detect
Externí odkaz: https://doaj.org/article/2e7ae4ceac3d4eb99b78ca0a488ccc9e
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7
Asymptotic convergence rates for averaging strategies
Autor: Iskander Legheraba, Yann Chevaleyre, Laurent Meunier, Olivier Teytaud
Publikováno v: FOGA
Parallel black box optimization consists in estimating the optimum of a function using $\lambda$ parallel evaluations of $f$. Averaging the $\mu$ best individuals among the $\lambda$ evaluations is known to provide better estimates of the optimum of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cc7bf2b5d789e71c5cf8013f1751f9f
https://hal.archives-ouvertes.fr/hal-03345019
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9
Lab-scale characterization of emissions from incineration of halogen- and sulfur-containing nanowastes by use of a tubular furnace
Autor: Laurence Le Coq, Sylvain Durecu, Olivier Aguerre-Chariol, G. Marlair, O. Le Bihan, Christophe Dutouquet, Laurent Meunier, Aurélie Joubert
Publikováno v: International Journal of Environmental Science and Technology
International Journal of Environmental Science and Technology, Center for Environment and Energy Research and Studies (CEERS), 2021, ⟨10.1007/s13762-021-03227-z⟩
International audience; Many solid materials contain nanoparticles to enhance their functionalities. The question of whether they may release nanoparticles at different moments of their life cycle is raised. Lifecycle includes waste management. There
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a2116b8aaf3034ca617ec2cab431a34
https://hal-ineris.archives-ouvertes.fr/ineris-03217724/document
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10
On the robustness of randomized classifiers to adversarial examples
Autor: Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
Publikováno v: Machine Learning
Machine Learning, 2022, 111 (9), pp.3425-3457. ⟨10.1007/s10994-022-06216-6⟩
This paper investigates the theory of robustness against adversarial attacks. We focus on randomized classifiers (i.e. classifiers that output random variables) and provide a thorough analysis of their behavior through the lens of statistical learnin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::325c5c89c7713bb3a9e90ed39d145a02
http://arxiv.org/abs/2102.10875
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