Zobrazeno 1 - 10
of 29
pro vyhledávání: '"David Gutiérrez-Avilés"'
Autor:
David Gutiérrez-Avilés, Raúl Giráldez, Francisco Javier Gil-Cumbreras, Cristina Rubio-Escudero
Publikováno v:
BioData Mining, Vol 11, Iss 1, Pp 1-29 (2018)
Abstract Background Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an improvement of classical clustering and biclustering techniques. The standard for validation of triclustering is based on
Externí odkaz:
https://doaj.org/article/ad18345b371d43d3b868c19553e670f2
Autor:
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
Publikováno v:
Entropy, Vol 17, Iss 7, Pp 5000-5021 (2015)
A previous definition of seismogenic zones is required to do a probabilistic seismic hazard analysis for areas of spread and low seismic activity. Traditional zoning methods are based on the available seismic catalog and the geological structures. It
Externí odkaz:
https://doaj.org/article/d599b8d779bc4ec7b2288b89f1279589
Publikováno v:
Evolutionary Bioinformatics, Vol 2015, Iss 11, Pp 121-135 (2015)
Externí odkaz:
https://doaj.org/article/eae29e9f8ee24837b3dd3d355c0499a5
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Microarrays have revolutionized biotechnological research. The analysis of new data generated represents a computational challenge due to the characteristics of these data. Clustering techniques are applied to create groups of genes that exhibit a si
Externí odkaz:
https://doaj.org/article/7b5432c6d78d4b4297a64adfa79e113b
Autor:
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
Publikováno v:
The Journal of Supercomputing. 79:11078-11100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10ebd41e02dabb0b67635233b3ddd4a5
https://doi.org/10.1007/s11227-023-05100-x
https://doi.org/10.1007/s11227-023-05100-x
Publikováno v:
Portal de Vídeo Didáctico de la Universidad de Sevilla.
Este video forma parte de una serie de recursos audiovisuales generados dentro del proyecto de innovación docente "Desarrollo de materiales reciclables para una sociedad de consumo", coordinado por Isabel Montealegre Meléndez y financiado por el II
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::759a81bb6f8dd2c340e25440d1d61422
https://doi.org/10.35466/vid2022n7550
https://doi.org/10.35466/vid2022n7550
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106326
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23fbd3f423dce8a43375010e766950d3
https://doi.org/10.1016/j.engappai.2023.106326
https://doi.org/10.1016/j.engappai.2023.106326
Autor:
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop area. Vegetation indices allow the study and delineation of different characteristics of each field zone, generally invisible to the na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2babb2805ae8236f072e4c71f50f056
https://doi.org/10.1016/j.neucom.2021.06.101
https://doi.org/10.1016/j.neucom.2021.06.101
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Triclustering algorithms group sets of coordinates of 3-dimensional datasets. In this paper, a new triclustering approach for data streams is introduced. It follows a streaming scheme of learning in two steps: offline and online phases. First, the of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78d2ad109132e659dda4b95fba520825
https://doi.org/10.1016/j.ins.2020.12.089
https://doi.org/10.1016/j.ins.2020.12.089
Autor:
Kien‐Trinh T. Bui, José F. Torres, David Gutiérrez‐Avilés, Viet‐Ha Nhu, Dieu Tien Bui, Francisco Martínez‐Álvarez
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The safety operation and management of hydropower dam play a critical role in social-economic development and ensure people’s safety in many countries; therefore, modeling and forecasting the hydropower dam’s deformations with high accuracy is cr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd6452e2dc345920026b0f9d7dacd33f