Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jorge I. Velez"'
Publikováno v:
IEEE Access, Vol 10, Pp 43327-43340 (2022)
Rural distribution systems, especially in developing countries, tend to be less reliable than urban distribution systems because customers are (1) located remotely and (2) connected to weak aerial networks with radial topologies without redundancy. T
Externí odkaz:
https://doaj.org/article/7dc8c0098e7d48308906b517493b416e
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 30710-30727 (2024)
Linear mixed-effects models (LMEMs) are widely used in medical, engineering, and social applications. The accurate specification of the covariance matrix structure within the error term is known to impact the estimation and inference procedures. Thus
Externí odkaz:
https://doaj.org/article/fd6e330479d34e4bb73295e2a2524dbd
Autor:
Gloria Garavito-De Egea, Alex Domínguez-Vargas, Jorge I. Vélez, Gustavo Aroca, Luis Fang, Elkin Navarro-Quiroz, Zilac Espitaleta, Kenny Del Toro-Camargo, Leticia Martínez-Ariza, Tatiana González-Vargas, Susana García, Mauricio Arcos-Burgos, Eduardo Egea
Publikováno v:
Genes and Diseases, Vol 11, Iss 4, Pp 101058- (2024)
Externí odkaz:
https://doaj.org/article/f773527e11bf4ffeadd7b7c8166acf56
Publikováno v:
2000 Annual Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30467b9251c02bf76c893aeeed39abc5
https://doi.org/10.18260/1-2--8662
https://doi.org/10.18260/1-2--8662
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Support Vector Machines (SVMs) are a type of supervised machine learning algorithm widely used for classification tasks. In contrast to traditional methods that split the data into separate training and testing sets, here we propose an innovative app
Externí odkaz:
https://doaj.org/article/66737415f9374b179fc5dedf5221b26d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Attention deficit/hyperactivity disorder (ADHD) is the most common childhood neurodevelopmental disorder. Single nucleotide polymorphisms (SNPs) in the Adhesion G Protein-Coupled Receptor L3 (ADGRL3) gene are associated with increased suscep
Externí odkaz:
https://doaj.org/article/324fc7696fd04eebb08567ee6234e5fd
Autor:
Sebastian Racedo, Ivan Portnoy, Jorge I. Vélez, Homero San-Juan-Vergara, Marco Sanjuan, Eduardo Zurek
Publikováno v:
BioData Mining, Vol 14, Iss 1, Pp 1-18 (2021)
Abstract Background High-throughput sequencing enables the analysis of the composition of numerous biological systems, such as microbial communities. The identification of dependencies within these systems requires the analysis and assimilation of th
Externí odkaz:
https://doaj.org/article/9840b2dce01448abbc30df90ac3e6a54
Autor:
María C. Navarro, Fernando Marmolejo-Ramos, Valentina Vásquez, Bárbara Carrea, Jorge I. Vélez, Moisés Mebarak Chams
Publikováno v:
International Journal of Psychological Research, Vol 13, Iss 2, Pp 49-58 (2020)
Semantic memory (SM) is a type of long-term memory associated with the storage of general information about the world. Here we assessed the characteristics of the SM battery, developed by Catricalà et al. (2013), in a sample of Colombian children. T
Externí odkaz:
https://doaj.org/article/5614a5b9a9ee4258a6b181e7e11784bb
Publikováno v:
Journal of Advanced Transportation, Vol 2022 (2022)
In this systematic literature review (SLR), we use a series of quantitative bibliometric analyses to (1) identify the main papers, journals, and authors of the publications that make use of statistical analysis (SA) and machine learning (ML) tools as
Externí odkaz:
https://doaj.org/article/3034914e8f6144d4bedee2dc925f8a6d
Autor:
Jorge I. Vélez
Publikováno v:
International Journal of Psychological Research, Vol 14, Iss 1 (2021)
Since its beginnings, Psychology has been prone to both data generation and understanding of human behavior through data analysis. Back in 1879, Dr. Wilheim Wundt opened the first experimental psychology lab at the University of Leipzig to study reac
Externí odkaz:
https://doaj.org/article/c40014be38854ad69b312786cfa5d0a5