Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Roberto López-Santillán"'
Publikováno v:
Neural Computing and Applications. 35:9607-9626
Autor:
Joseph Isaac Ramírez-Hernández, Alain Manzo-Martínez, Fernando Gaxiola, Luis C. González-Gurrola, Vania C. Álvarez-Oliva, Roberto López-Santillán
Publikováno v:
Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design ISBN: 9783031220418
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3640ab85a6fce7a6e1b46d04ce154c68
https://doi.org/10.1007/978-3-031-22042-5_7
https://doi.org/10.1007/978-3-031-22042-5_7
Autor:
Alberto Valdés-Chávez, J. Roberto López-Santillán, L. Carlos Gonzalez-Gurrola, Graciela Ramírez-Alonso, Manuel Montes-y-Gómez
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031077494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24e6e9cbda375f3ea572233827605548
https://doi.org/10.1007/978-3-031-07750-0_21
https://doi.org/10.1007/978-3-031-07750-0_21
Autor:
Sebastián Rascón-Cervantes, Graciela Ramírez-Alonso, Juan Ramírez-Quintana, Manuel Montes-y-Gómez, Roberto López-Santillán
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031077494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5402129f55179b9edd3bf6b5aff8e324
https://doi.org/10.1007/978-3-031-07750-0_28
https://doi.org/10.1007/978-3-031-07750-0_28
Autor:
Olanda Prieto-Ordaz, Manuel Montes-y-Gómez, Luis C. González, Graciela Ramirez-Alonso, Roberto López-Santillán
Publikováno v:
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
The correct identification of brain tumors in multisequence images is a very challenging task and of high relevance in the correct treatment of patients affected by this illness. In this paper, we present a segmentation neural network approach named
Autor:
Manuel Montes-y-Gómez, Olanda Prieto-Ordaz, Luis Carlos González-Gurrola, Graciela Ramirez-Alonso, Roberto López-Santillán
Publikováno v:
Information Processing & Management. 57:102227
In this study we propose a novel method to generate Document Embeddings (DEs) by means of evolving mathematical equations that integrate classical term frequency statistics. To accomplish this, we employed a Genetic Programming (GP) strategy to build