Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Hector G. Ceballos"'
Publikováno v:
IEEE Access, Vol 12, Pp 118673-118693 (2024)
Occupancy information is essential for space management, energy efficiency, and in times of the COVID-19 pandemic, for crowd control. Obtaining labeled data is challenging due to hardware limitations, privacy considerations, and the required underlyi
Externí odkaz:
https://doaj.org/article/23790f0ed216462ea7728f63fdadeb37
Autor:
Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Neil Hernandez-Gress, Jose Luis Preciado, Hector G. Ceballos
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-31 (2022)
Abstract Background This paper explores machine learning algorithms and approaches for predicting alum income to obtain insights on the strongest predictors and a ‘high’ earners’ class. Methods It examines the alum sample data obtained from a s
Externí odkaz:
https://doaj.org/article/784c155b613f470299e4a8bff1db4f4f
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-17 (2022)
Abstract Scientometrics is the field of study and evaluation of scientific measures such as the impact of research papers and academic journals. It is an important field because nowadays different rankings use key indicators for university rankings a
Externí odkaz:
https://doaj.org/article/e8fce7af3d304dbe961258e4746d3b15
Autor:
Maria Soledad Ramirez-Montoya, Hector G. Ceballos, Sandra Martínez-Pérez, Luis M. Romero-Rodríguez
Publikováno v:
Publications, Vol 11, Iss 2, p 27 (2023)
Researchers primarily dedicate their time to teaching in Latin American universities. For this reason, it is essential to determine how teaching time affects (or contributes to) the scientific productivity of researchers working under these condition
Externí odkaz:
https://doaj.org/article/7455517d72564e67ba54260addbbf874
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
Autor:
Joanna Alvarado-Uribe, Paola Mejía-Almada, Ana Luisa Masetto Herrera, Roland Molontay, Isabel Hilliger, Vinayak Hegde, José Enrique Montemayor Gallegos, Renato Armando Ramírez Díaz, Hector G. Ceballos
Publikováno v:
Data, Vol 7, Iss 9, p 119 (2022)
High dropout rates and delayed completion in higher education are associated with considerable personal and social costs. In Latin America, 50% of students drop out, and only 50% of the remaining ones graduate on time. Therefore, there is an urgent n
Externí odkaz:
https://doaj.org/article/e5f96b51653c4bdfb0cbaad37579b19e
Publikováno v:
Sensors, Vol 22, Iss 10, p 3770 (2022)
The COVID-19 pandemic has changed our common habits and lifestyle. Occupancy information is valued more now due to the restrictions put in place to reduce the spread of the virus. Over the years, several authors have developed methods and algorithms
Externí odkaz:
https://doaj.org/article/62a5c3ad965c4babb6aa5bf1ea669a4f
Publikováno v:
Data, Vol 6, Iss 12, p 133 (2021)
The estimation of occupancy is a crucial contribution to achieve improvements in energy efficiency. The drawback of data or incomplete data related to occupancy in enclosed spaces makes it challenging to develop new models focused on estimating occup
Externí odkaz:
https://doaj.org/article/a6cd9262945643aca28cb6accaf60daf
Autor:
Butt, Sabur, Balouchzahi, Fazlourrahman, Meque, Abdul Gafar Manuel, Amjad, Maaz, Cancino, Hector G. Ceballos, Sidorov, Grigori, Gelbukh, Alexander
The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being. Yet, these emotions subtle distinctions and interplay are often overlooked in computational
Externí odkaz:
http://arxiv.org/abs/2401.16541
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