Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Francisco J. Cantu-Ortiz"'
Autor:
Benjamin M. Sainz-Tinajero, Andres E. Gutierrez-Rodriguez, Hector G. Ceballos, Francisco J. Cantu-Ortiz
Publikováno v:
IEEE Access, Vol 9, Pp 134192-134207 (2021)
Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias
Externí odkaz:
https://doaj.org/article/13a0f1c0f9214d4e88d36043f4dc3bb0
Publikováno v:
Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, Vol 34, Iss 85, Pp 61-80 (2020)
En la literatura científica algunos estudios han examinado el impacto positivo que tiene la investigación en la sociedad. Sin embargo, este trabajo analiza cómo los factores sociales pueden influir en los resultados científicos. La muestra de inv
Externí odkaz:
https://doaj.org/article/e8d56a3bb3664e888bec17407cf13f25
Publikováno v:
Computers, Vol 10, Iss 3, p 35 (2021)
The impact of the strategies that researchers follow to publish or produce scientific content can have a long-term impact. Identifying which strategies are most influential in the future has been attracting increasing attention in the literature. In
Externí odkaz:
https://doaj.org/article/e84d82439d824fa689605307dc9fa38b
Publikováno v:
International Journal on Interactive Design and Manufacturing (IJIDeM). 16:871-891
In recent years, higher education has felt pressured to prepare its graduates for the highly competitive international market due to globalization. Thus, many institutions have turned to position themselves well in university rankings as a way to att
Publikováno v:
Publishing Research Quarterly. 37:347-363
Identifying strategies for researchers has been a problem investigated from different perspectives, such as choosing research topics or the effect of partner selection. Its importance lies in the effect these choices have in the long term and the imp
Publikováno v:
Cognitive Computation
To understand and approach the spread of the SARS-CoV-2 epidemic, machine learning offers fundamental tools. This study presents the use of machine learning techniques for projecting COVID-19 infections and deaths in Mexico. The research has three ma
Autor:
Hector G. Ceballos, Andres Eduardo Gutierrez-Rodríguez, Francisco J. Cantu-Ortiz, Benjamin Mario Sainz-Tinajero
Publikováno v:
IEEE Access, Vol 9, Pp 134192-134207 (2021)
Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias
Publikováno v:
Scientometrics
Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide
Publikováno v:
Quality & Quantity. 55:1347-1369
One of the main purposes of the countries’ economic expenditure in research is to achieve higher levels of scientific results which could impact in better living standards for society. Besides, research efficiency could be considered as a way of ge
Autor:
Nathalíe Galeano Sánchez, Leonardo Garrido, Hugo Terashima-Marín, Ramón F. Brena, Francisco J. Cantu-Ortiz
Publikováno v:
International Journal on Interactive Design and Manufacturing (IJIDeM). 14:1195-1209
This paper presents a strategy of state-of-the-art review of artificial intelligence (AI) in education and a case study about preparing students to have the competencies and skills necessary for the current and future digital transformation to Indust