Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sara E. Garza"'
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
Autor:
Fernando M. Rodríguez, Sara E. Garza
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:4709-4719
Autor:
Petteri Nurmi, Sara E. Garza, Laura Cruz-Reyes, Sandra Cecilia Urbina, Satu Elisa Schaeffer, Juan Carlos Espinosa
Publikováno v:
Behaviour & Information Technology. 37:607-621
The use of intelligent information technologies has the means to provide ecological information just-in-time, thus alleviating consumers' cognitive burden at the time of purchase. We propose a computational framework for supporting consumer awareness
Autor:
Luis Villaseñor-Pineda, Hugo Jair Escalante, A. Pastor López-Monroy, Manuel Montes-y-Gómez, Esaú Villatoro-Tello, Sara E. Garza
Publikováno v:
Expert Systems with Applications. 89:99-111
E-communication represents a major threat to users who are exposed to a number of risks and potential attacks. Detecting these risks with as much anticipation as possible is crucial for prevention. However, much research so far has focused on forensi
Publikováno v:
Scientometrics. 114:181-216
The factors that foster successful scientific collaboration and teamwork have been studied extensively. However, these factors have been studied in isolation and it is not clear to what extent one factor is more relevant than other in the formation o
Autor:
Fernando M. Rodríguez, Sara E. Garza
Publikováno v:
Computación y Sistemas. 23
We present an opinion mining approach whose aim is to perform sentiment classification over microblogs in Spanish; since we use the Twitter microblog as a case study, this approach receives the name of Twitter Opinion Mining or TOM. To classify acomm
Publikováno v:
IEEE Latin America Transactions. 14:3474-3480
This paper presents a set of techniques for predicting aggressive comments in social media. In a time when cyberbullying has, unfortunately, made its entrance into society and Internet, it becomes necessary to find ways for preventing and overcoming
Publikováno v:
Expert Systems. 33:349-361
In social networking sites, it is useful to receive recommendations about whom to contact or follow. These recommendations not only allow to establish connections with people one might already know in real life but also with people or users that have
Autor:
Kathia G. Flores, Sara E. Garza
Publikováno v:
Knowledge-Based Systems. 206:106350
Clustering is a task used to group data from variegated sources, including Big Data, the Internet of Things, and social media. Density peaks clustering (DPC) has become a popular clustering technique for its simplicity and quality. However, DPC requi
Autor:
Sara E. Garza, Rafael Cavazos
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030028398
MICAI (2)
MICAI (2)
Predicting student performance supports educational decision-making by allowing directives and teachers to detect students in special situations (e.g. students at risk of failing a course or dropping out of school) and manage these in a timely manner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05069dcaeeb03037c1efb38c99d9a780
https://doi.org/10.1007/978-3-030-02840-4_14
https://doi.org/10.1007/978-3-030-02840-4_14