Zobrazeno 1 - 10
of 136
pro vyhledávání: '"R. M. Valdovinos"'
Autor:
V. O. Ramírez-Beltrán, L. A. Z.-Avilés, R. M. Valdovinos-Rosas, J. J. Reyes-Lagos, G. M. Cruz-Martínez
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 605 (2020)
It is presented the design specifications for a Retractor Robotic System (RRS) based on the surgical necessities in the incisions procedure for a dacryocystorhinostomy. The specifications are conformed by a mathematical model, the experimental data m
Externí odkaz:
https://doaj.org/article/4f08e249347b45a6937e6eb127946df4
Autor:
C. M. Castorena, R. Alejo, E. Rendón, E. E. Granda-Gutíerrez, R. M. Valdovinos, G. Miranda-Piña
Publikováno v:
Intelligent Computing Theories and Application ISBN: 9783031138690
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3829094431ff29e2250a885abafc049b
https://doi.org/10.1007/978-3-031-13870-6_14
https://doi.org/10.1007/978-3-031-13870-6_14
Autor:
G. Miranda-Piña, R. Alejo, E. Rendón, E. E. Granda-Gutíerrez, R. M. Valdovinos, F. del Razo-López
Publikováno v:
Intelligent Computing Methodologies ISBN: 9783031138317
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58a8c57dd63fedac7789eccf0f34a2bd
https://doi.org/10.1007/978-3-031-13832-4_6
https://doi.org/10.1007/978-3-031-13832-4_6
Autor:
R. Alejo, Graciela García-Rueda, José Raymundo Marcial-Romero, R. M. Valdovinos, J. Leonardo González-Ruiz, Jesús Valdés-González
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030490751
MCPR
MCPR
Earthquakes are events that cannot be predicted. However, when they occur, devastating consequences are shown in economic, social and structural areas, among others. In this paper, the mining of association rules is carried out in order to estimate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f38ba04bce572a31253edc15dc92c5
https://doi.org/10.1007/978-3-030-49076-8_5
https://doi.org/10.1007/978-3-030-49076-8_5
Autor:
A. Guzmán-Ponce, R. Alejo, E. E. Granda-Gutiérrez, José Raymundo Marcial-Romero, R. M. Valdovinos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
Let \(G=(V, E)\) be a graph with a vertex set V and set of edges E. The Graph Coloring Problem consists of splitting the set V into k independent sets (color classes); if two vertices are adjacent (i.e. vertices which share an edge), then they cannot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51c6b3b5d488afe2e1b9dbd9d2fa44b
https://doi.org/10.1007/978-3-030-61705-9_17
https://doi.org/10.1007/978-3-030-61705-9_17
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Applied Sciences
Volume 10
Issue 15
Applied Sciences, Vol 10, Iss 5164, p 5164 (2020)
Universitat Jaume I
Applied Sciences
Volume 10
Issue 15
Applied Sciences, Vol 10, Iss 5164, p 5164 (2020)
Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions have been proposed to face bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6822a9aad266d48effef0d9858df4f9
https://doi.org/10.3390/app10155164
https://doi.org/10.3390/app10155164
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617042
HAIS
HAIS
The resampling methods are among the most popular strategies to face the class imbalance problem. The objective of these methods is to compensate the imbalanced class distribution by over-sampling the minority class and/or under-sampling the majority
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16f3322f1925e2656df6cf7e9ba32b2b
https://doi.org/10.1007/978-3-030-61705-9_25
https://doi.org/10.1007/978-3-030-61705-9_25
Autor:
Marcelo Romero, Monica Santibanez, Jose Raymundo Marcial, R. Alejo, R. M. Valdovinos, Gerardo Javier Perez
Publikováno v:
IEEE Latin America Transactions. 16:279-286
On-line learning is a training paradigm that allows the processing of constant data flows, so that learning adapts to new knowledge. However, due to the nature of the study problem, it is possible that in the clustering obtained there are data comple
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783030313319
IbPRIA (1)
IbPRIA (1)
The class imbalance problem is a challenging situation in machine learning but also it appears frequently in recent Big Data applications. The most studied techniques to deal with the class imbalance problem have been Random Over Sampling (ROS), Rand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0579ad7f6dfa4a27487f3f10024c3dcd
https://doi.org/10.1007/978-3-030-31332-6_19
https://doi.org/10.1007/978-3-030-31332-6_19
Publikováno v:
Expert Systems with Applications. 168:114301
The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been proposed, especially centered