Zobrazeno 1 - 10
of 37
pro vyhledávání: '"David Becerra Alonso"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37827- (2024)
Intimate partner femicide (IPF) is a grave social and health concern affecting women worldwide, with approximately 30,000 deaths annually at the hands of their current or former intimate partners. Previous studies have focused on identifying risk fac
Externí odkaz:
https://doaj.org/article/ffead2d948ac409b831edfb25fa8a0b1
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Legal documents serve as valuable repositories of information pertaining to crimes, encompassing not only legal aspects but also relevant details about criminal behaviors. To date and the best of our knowledge, no studies in the field examin
Externí odkaz:
https://doaj.org/article/ea8a15ae5cda47bd9df51f4a456d30e8
Publikováno v:
IEEE Access, Vol 10, Pp 123534-123548 (2022)
The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data c
Externí odkaz:
https://doaj.org/article/4b45d829a29e4f7b9ed5989dd9580b5f
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Intimate partner violence is a severe problem that has taken the lives of thousands of women worldwide, and it is bound to continue in the future. Numerous risk assessment instruments have been developed to identify and intervene in high-risk cases.
Externí odkaz:
https://doaj.org/article/ff12e8739cfc44cdb7d202ff48f2a4ce
Autor:
Mukul Tewary, Dominika Dziedzicka, Joel Ostblom, Laura Prochazka, Nika Shakiba, Tiam Heydari, Daniel Aguilar-Hidalgo, Curtis Woodford, Elia Piccinini, David Becerra-Alonso, Alice Vickers, Blaise Louis, Nafees Rahman, Davide Danovi, Mieke Geens, Fiona M Watt, Peter W Zandstra
Publikováno v:
PLoS Biology, Vol 17, Iss 10, p e3000081 (2019)
In vitro models of postimplantation human development are valuable to the fields of regenerative medicine and developmental biology. Here, we report characterization of a robust in vitro platform that enabled high-content screening of multiple human
Externí odkaz:
https://doaj.org/article/3d54779845f24e319469e56edbe389d3
Autor:
Elizabeth Martinez-Villarraga, Isabel Lopez-Cobo, David Becerra-Alonso, Francisco Fernández-Navarro
Publikováno v:
Mathematics, Vol 9, Iss 15, p 1740 (2021)
The aim of this work is to characterize the process of constructing mathematical knowledge by higher education students in a distance learning course. This was done as part of an algebra course within engineering degrees in a Colombian university. Th
Externí odkaz:
https://doaj.org/article/c231ecd1b7274e62a086c0eecd6f6b39
Autor:
Ana Mª Lucia-Casademunt, J. Antonio Ariza-Montes, Alfonso C. Morales-Gutiérrez, David Becerra-Alonso
Publikováno v:
Revista Venezolana de Gerencia, Vol 18, Iss 62, Pp 217-246 (2013)
La implicación laboral de los empleados con su puesto de trabajo es una variable actitudinal que adquiere carácter estratégico en las organizaciones del siglo XXI. El objetivo de la presente investigación es establecer un modelo de predicción de
Externí odkaz:
https://doaj.org/article/44d469b903fc4febb8c9371a0921103d
Autor:
Francisco Fernández-Navarro, David Becerra-Alonso, Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
Publikováno v:
Neural Computing and Applications. 32:13805-13823
Extreme learning machine (ELM) has shown to be a suitable algorithm for classification problems. Several ensemble meta-algorithms have been developed in order to generalize the results of ELM models. Ensemble approaches introduced in the ELM literatu
Autor:
Félix Morales, Miguel García-Torres, Gustavo Velázquez, Federico Daumas-Ladouce, Pedro E. Gardel-Sotomayor, Francisco Gómez-Vela, Federico Divina, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Julio César Mello-Román, David Becerra-Alonso
Publikováno v:
Electronics, Vol 11, Iss 267, p 267 (2022)
Electronics; Volume 11; Issue 2; Pages: 267
Electronics; Volume 11; Issue 2; Pages: 267
Correctly defining and grouping electrical feeders is of great importance for electrical system operators. In this paper, we compare two different clustering techniques, K-means and hierarchical agglomerative clustering, applied to real data from the
Autor:
Roberto Carlos Morales-Hernández, David Becerra-Alonso, Eduardo Romero Vivas, Joaquín Gutiérrez
Publikováno v:
Advances in Computational Intelligence ISBN: 9783031194955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1121e3f744e7dc4c92beddbe380d56e
https://doi.org/10.1007/978-3-031-19496-2_5
https://doi.org/10.1007/978-3-031-19496-2_5