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pro vyhledávání: '"Chauvet P"'
Biclustering is an unsupervised machine-learning approach aiming to cluster rows and columns simultaneously in a data matrix. Several biclustering algorithms have been proposed for handling numeric datasets. However, real-world data mining problems o
Externí odkaz:
http://arxiv.org/abs/2408.13217
Autor:
Chauvet, Jean-Marie
Memory traces--changes in the memory system that result from the perception and encoding of an event--were measured in pioneering studies by Endel Tulving and Michael J. Watkins in 1975. These and further experiments informed the maturation of Tulvin
Externí odkaz:
http://arxiv.org/abs/2404.08543
Autor:
Chaaya, Marie-Jose, Chauvet, Sophie, Hubert, Florence, Mann, Fanny, Mezache, Mathieu, Pudlo, Pierre
The pancreatic innervation undergoes dynamic remodeling during the development of pancreatic ductal adenocarcinoma (PDAC). Denervation experiments have shown that different types of axons can exert either pro- or anti-tumor effects, but conflicting r
Externí odkaz:
http://arxiv.org/abs/2404.02539
Autor:
Kioye, Togo Jean Yves, Grollemund, Paul-Marie, Chauvet, Jocelyn, Druilhet, Pierre, Saint-Loubert-Bie, Erwan, Chassard, Christophe
Variable selection methods are required in practical statistical modeling, to identify and include only the most relevant predictors, and then improving model interpretability. Such variable selection methods are typically employed in regression mode
Externí odkaz:
http://arxiv.org/abs/2403.17087
Publikováno v:
Applied Optics, vol. 63, issue 19, pp.5192-5202 (2024)
Achieving accurate arbitrary frequency excursions with a laser can be quite a technical challenge, especially when steep slopes (GHz/$\mu$s) are required, due to both deterministic and stochastic frequency fluctuations. In this work we present a mult
Externí odkaz:
http://arxiv.org/abs/2403.14365
Autor:
Chauvet, Jean-Marie
The Tulving Test was designed to investigate memory performance in recognition and recall tasks. Its results help assess the relevance of the "Synergistic Ecphory Model" of memory and similar RK paradigms in human performance. This paper starts inves
Externí odkaz:
http://arxiv.org/abs/2402.16505
Autor:
Alinny R. Isaac, Mariana G. Chauvet, Ricardo Lima-Filho, Beatriz de A. Wagner, Bruno G. Caroli, Renata E. P. Leite, Claudia K. Suemoto, Paula Villela Nunes, Fernanda G. De Felice, Sergio T. Ferreira, Mychael V. Lourenco
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Major depressive disorder (MDD) is a significant cause of disability in adults worldwide. However, the underlying causes and mechanisms of MDD are not fully understood, and many patients are refractory to available therapeutic options. Impai
Externí odkaz:
https://doaj.org/article/00a284daaf5a498985eae3582d1517e8
Autor:
Shiratori, Honoka, Shinkawa, Hiroaki, Röhm, André, Chauvet, Nicolas, Segawa, Etsuo, Laurent, Jonathan, Bachelier, Guillaume, Yamagami, Tomoki, Horisaki, Ryoichi, Naruse, Makoto
Collective decision-making is crucial to information and communication systems. Decision conflicts among agents hinder the maximization of potential utilities of the entire system. Quantum processes can realize conflict-free joint decisions among two
Externí odkaz:
http://arxiv.org/abs/2305.02117
Autor:
Sarah Aida, Mathieu Levaillant, Henri Azaïs, Marcos Ballester, Geoffroy Canlorbe, Pauline Chauvet, Tristan Gauthier, Cyrille Huchon, Yohan Kerbage, Martin Koskas, Lise Lecointre, Lobna Ouldamer, Émilie Raimond, Vincent Lavoué, Guillaume Legendre
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Epithelial ovarian cancer is mostly discovered at the stage of peritoneal carcinosis. Complete cytoreductive surgery improves overall survival. The Fagotti score is a predictive score of resectability based on peritoneal laparoscopic explora
Externí odkaz:
https://doaj.org/article/ff31539741f44433bd901733aa00fd3e
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia. pp.1223-1227
Since last 2 decades, High Frequency Oscillations (HFOs) are studied as a promising biomarker to localize the epileptogenic zone of patients with refractory focal epilepsy. As HFOs visual detection is time consuming and subjective, automatization of
Externí odkaz:
http://arxiv.org/abs/2301.08600