Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Miguel Angel Medina-Perez"'
Autor:
Luis Daniel Samper-Escalante, Octavio Loyola-Gonzalez, Raul Monroy, Miguel Angel Medina-Perez
Publikováno v:
IEEE Access, Vol 12, Pp 149130-149146 (2024)
Due to Twitter’s potential reach and influence, malicious automated accounts and services have been operating and growing without control. One of the most recognizable is the bot, a piece of programming or automated system reproducing an assignment
Externí odkaz:
https://doaj.org/article/af39526bc5944c3fb1a5c3b13fb665b9
Publikováno v:
IEEE Access, Vol 9, Pp 110451-110479 (2021)
Decision trees are popular as stand-alone classifiers or as base learners in ensemble classifiers. Mostly, this is due to decision trees having the advantage of being easy to explain. To improve the classification performance of decision trees, some
Externí odkaz:
https://doaj.org/article/dcdce70d229e42d8b3dacf1640174ff0
Autor:
Ismay Perez-Sanchez, Barbara Cervantes, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Salvador Garcia, Francisco Herrera
Publikováno v:
IEEE Access, Vol 9, Pp 85488-85499 (2021)
Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts. However, its computational cost hinders the rapid decision making in the identification of an individual when large databases are involved. To reduc
Externí odkaz:
https://doaj.org/article/2f4ac81bb8df40a4ad47030286679bef
Autor:
Octavio Loyola-Gonzalez, Andres Eduardo Gutierrez-Rodriguez, Miguel Angel Medina-Perez, Raul Monroy, Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa, Milton Garcia-Borroto
Publikováno v:
IEEE Access, Vol 8, Pp 52370-52384 (2020)
Nowadays, the international scientific community of machine learning has an enormous campaign in favor of creating understandable models instead of black-box models. The main reason is that experts in the application area are showing reluctance due t
Externí odkaz:
https://doaj.org/article/a7e86c39621a4c5bbd8f77d14c1fa1b0
Autor:
Andres J. Sanchez-Fernandez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Perez, Yvan Saeys, Francisco Herrera, Siham Tabik
Publikováno v:
IEEE Access, Vol 8, Pp 124236-124253 (2020)
Latent fingerprint identification is one of the most essential identification procedures in criminal investigations. Addressing this task is challenging as (i) it requires analyzing massive databases in reasonable periods and (ii) it is commonly solv
Externí odkaz:
https://doaj.org/article/27a6ba6aff1149c09cd29d1a5d70535a
Autor:
Octavio Loyola-Gonzalez, Miguel Angel Medina-Perez, Raymundo Adrian Coronilla Valdez, Kim-Kwang Raymond Choo
Publikováno v:
IEEE Access, Vol 8, Pp 206088-206104 (2020)
Despite the shortcomings and criticisms of world university rankings, such metrics are widely used by students and parents to select institutions and by educational institutions to attract talented students and researchers, as well as funding. This a
Externí odkaz:
https://doaj.org/article/70d4ecab38f54a0e9541719ed7c64226
Autor:
Danilo Valdes-Ramirez, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Jorge Rodriguez, Aythami Morales, Francisco Herrera
Publikováno v:
IEEE Access, Vol 7, Pp 48484-48499 (2019)
Latent fingerprint identification is attracting increasing interest because of its important role in law enforcement. Although the use of various fingerprint features might be required for successful latent fingerprint identification, methods based o
Externí odkaz:
https://doaj.org/article/9febc5e42ac4499ea67cfdb3c7488962
Autor:
Leonardo Canete-Sifuentes, Raul Monroy, Miguel Angel Medina-Perez, Octavio Loyola-Gonzalez, Francisco Vera Voronisky
Publikováno v:
IEEE Access, Vol 7, Pp 55744-55762 (2019)
There is a growing interest in the development of classifiers based on contrast patterns (CPs); partly due to the advantage of them being able to explain classification results in a language that is easy to understand for an expert. CP-based classifi
Externí odkaz:
https://doaj.org/article/9ddaa1a0f3c84b14be86ef7b1d016261
Autor:
Luis A. Trejo, Victor Ferman, Miguel Angel Medina-Perez, Fernando Miguel Arredondo Giacinti, Raul Monroy, Jose E. Ramirez-Marquez
Publikováno v:
IEEE Access, Vol 7, Pp 116358-116369 (2019)
DNS DDoS attacks may severely affect the operation of computer networks, prompting the need for methods able to timely detect them, and then to apply mitigation countermeasures. Visual models have been used to detect an ongoing DDoS attack, but often
Externí odkaz:
https://doaj.org/article/86d85cb6e80e487193e500bfe75e3f22
Autor:
Javad Khodadoust, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Vutipong Areekul, Worapan Kusakunniran
Publikováno v:
Intelligent Systems with Applications, Vol 23, Iss , Pp 200414- (2024)
Latent palmprints are integral to crime scene investigations, constituting a significant portion of encountered prints. They often suffer from poor ridge impressions, noise, and pronounced creases, setting them apart from other palmprint types. While
Externí odkaz:
https://doaj.org/article/b8f86d4ef22a43beaaeecedd14cc5fae