Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Angel Díaz‐Pacheco"'
Publikováno v:
Intelligent Data Mining and Analysis in Power and Energy Systems. :5-23
Publikováno v:
International Journal of Tourism Cities.
Purpose This study aims to present a framework for automatically collecting, cleaning and analyzing text (news articles, in this case) to provide valuable decision-making information to destination management organizations. Keeping a record of certai
Publikováno v:
Sādhanā. 46
Crying is how babies express their needs eliciting care and providing information to parents and physicians about their health and physical status. Automatic crying-pattern analysis is performed to assist in the diagnosis of infant’s emotional and
Publikováno v:
Intelligent Data Analysis. 23:1109-1129
Autor:
Jabel Dinorín-Téllez-Girón, R. Delgado-Macuil, Victor Eric López-Y-López, C. P. Larralde-Corona, Angel Díaz-Pacheco, Adrián Díaz Pacheco
Publikováno v:
Bioprocess and biosystems engineering. 44(9)
The most important parameter in bioprocesses is biomass, where not only the quantity produced in a culture but also the behavior that is presented are important concerns. It is clear that conditions of operation in a bioreactor affect biomass product
Publikováno v:
IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS. 13:1-13
Autor:
Hugo Jair Escalante-Balderas, Carlos A. Reyes-García, Angel Díaz-Pacheco, Jesús A. Gonzalez-Bernal
Publikováno v:
Advances in Soft Computing ISBN: 9783030028367
MICAI (1)
MICAI (1)
The increasingly larger quantities of information generated in the world over the last few years, has led to the emergence of the paradigm known as Big Data. The analysis of those vast quantities of data has become an important task in science and bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b47dca75f9b12f1c50435aab3fdd6d9e
https://doi.org/10.1007/978-3-030-02837-4_23
https://doi.org/10.1007/978-3-030-02837-4_23
Publikováno v:
Advances in Soft Computing ISBN: 9783030044909
MICAI (1)
MICAI (1)
Full Model Selection is a technique for improving the accuracy of machine learning algorithms through the search of the most adequate combination on each dataset of feature selection, data preparation, a machine learning algorithm and its hyper-param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b15d743819c290244e68dd6c038b3fc
https://doi.org/10.1007/978-3-030-04491-6_13
https://doi.org/10.1007/978-3-030-04491-6_13
Autor:
Ángel Díaz-Pacheco, Rafael Guerrero-Rodríguez, Miguel Á. Álvarez-Carmona, Ansel Y. Rodríguez-González, Ramón Aranda
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 9, Pp 101746- (2023)
Automatic discovery of underlying themes in a document collection is a valuable task across many disciplines. Advanced techniques can be challenging for non-experts in data science to understand. To address these challenges, this work proposes a comp
Externí odkaz:
https://doaj.org/article/3cf147df1aab4fd8a4fe4871b574c5d5
Autor:
Miguel Á. Álvarez-Carmona, Ramón Aranda, Ansel Y. Rodríguez-Gonzalez, Daniel Fajardo-Delgado, María Guadalupe Sánchez, Humberto Pérez-Espinosa, Juan Martínez-Miranda, Rafael Guerrero-Rodríguez, Lázaro Bustio-Martínez, Ángel Díaz-Pacheco
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 10125-10144 (2022)
The social networks and the rapid development of new technologies have led to considerable changes in the tourism industry. Artificial intelligence, in particular natural language processing (NLP), presupposes a significant advantage in obtaining inf
Externí odkaz:
https://doaj.org/article/02a74f4cd5b7455f8499473b594e8af4