Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Martín Montes A"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3021 (2024)
Symbolic regression plays a crucial role in machine learning and data science by allowing the extraction of meaningful mathematical models directly from data without imposing a specific structure. This level of adaptability is especially beneficial i
Externí odkaz:
https://doaj.org/article/062784a878f94dc48355c904f3567611
Autor:
Rivera, Martín Montes1 martin.montes@upa.edu.mx, Aguilar-Justo, Marving2, Hernández, Misael Perez1
Publikováno v:
International Journal of Combinatorial Optimization Problems & Informatics. May-Aug2024, Vol. 15 Issue 2, p45-71. 27p.
Autor:
Déborah Ramos, Lucian Canto, Felipe Silva, Martín Montes, João Pedro Souza-Alves, Lucas Gonçalves
Publikováno v:
Mammalogy Notes, Vol 10, Iss 1 (2024)
Domestic dogs are a threat to biodiversity. We evaluated the activity patterns of domestic dogs and terrestrial mammals in a patch of Atlantic forest in northeastern Brazil. We expected native mammals to change their temporal pattern of activity in t
Externí odkaz:
https://doaj.org/article/27d379cd1b92477c8bc837736690da28
Autor:
Daniela Lopez-Betancur, Efrén González-Ramírez, Carlos Guerrero-Mendez, Tonatiuh Saucedo-Anaya, Martín Montes Rivera, Edith Olmos-Trujillo, Salvador Gomez Jimenez
Publikováno v:
Water, Vol 16, Iss 13, p 1761 (2024)
Advances in convolutional neural networks (CNNs) provide novel and alternative solutions for water quality management. This paper evaluates state-of-the-art optimization strategies available in PyTorch to date using AlexNet, a simple yet powerful CNN
Externí odkaz:
https://doaj.org/article/a146271a969744edb85af1fc80a59ca5
Autor:
Antonio Sánchez‐Soblechero, Angel Berbel, Alberto Villarejo, Itziar Palmí‐Cortés, Alba Vieira, María José Gil‐Moreno, Cristina Fernández, Ãngel Martín‐Montes, María Teresa Carreras, Yolanda Fernández, Carolina Puertas, Victor Blanco‐Palmero, Sara Llamas, Marta González‐Sánchez, Teresa Lapeña, Pilar deLuis, Sagrario Manzano, Javier Olazarán
Publikováno v:
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 10, Iss 1, Pp n/a-n/a (2024)
Abstract INTRODUCTION Biomarker‐informed criteria were proposed for the diagnosis of Alzheimer's disease (AD) by the National Institute on Aging and the Alzheimer's Association (NIA‐AA) in 2011; however, the adequacy of this criteria has not been
Externí odkaz:
https://doaj.org/article/f63a42d07fa040d89da3898f1582ae40
Akademický článek
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Akademický článek
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Autor:
Rivera, Martín Montes1 (AUTHOR) martin.montes@upa.edu.mx, Guerrero-Mendez, Carlos2 (AUTHOR) danielalopez106@uaz.edu.mx, Lopez-Betancur, Daniela2 (AUTHOR) tsaucedo@uaz.edu.mx, Saucedo-Anaya, Tonatiuh2 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Oct2023, Vol. 11 Issue 20, p4339. 40p.
Autor:
Martín-Montes, Álvaro1 (AUTHOR) amartim@ugr.es, Jimenez-Falcao, Sandra2 (AUTHOR) sandra.jfalcao@upm.es, Gómez-Ruiz, Santiago3 (AUTHOR) santiago.gomez@urjc.es, Marín, Clotilde1 (AUTHOR) cmaris@ugr.es, Mendez-Arriaga, José M.3 (AUTHOR) cmaris@ugr.es
Publikováno v:
Pharmaceuticals (14248247). Oct2023, Vol. 16 Issue 10, p1380. 19p.
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4339 (2023)
Optimizing large-scale numerical problems is a significant challenge with numerous real-world applications. The optimization process is complex due to the multi-dimensional search spaces and possesses several locally optimal regions. In response to t
Externí odkaz:
https://doaj.org/article/e8247f24639b41a99bb9fa4c05ea329e