Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ángel Hernández-Castañeda"'
Autor:
Ángel Hernández-Castañeda, René Arnulfo García-Hernández, Yulia Ledeneva, Griselda Areli Matías-Mendoza
Publikováno v:
Natural Language Processing in Healthcare ISBN: 9781003138013
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f29fef0391524e3d7dbfa035dbc33fb5
https://doi.org/10.1201/9781003138013-9
https://doi.org/10.1201/9781003138013-9
Autor:
René Arnulfo García-Hernández, Ángel Hernández-Castañeda, Yulia Ledeneva, Christian Eduardo Millán-Hernández
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2003-2013
A drug name could be confused because it looks or sounds like another. Nevertheless, it is not possible to know a priori the causes of the confusion. Nowadays, sophisticated similarity measures have been proposed focused on improving the score of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0998ddcdf519a5cb51df00e3ec0bbcf2
https://doi.org/10.3233/jifs-179867
https://doi.org/10.3233/jifs-179867
Autor:
Christian Eduardo Millán-Hernández, Yulia Ledeneva, Ángel Hernández-Castañeda, René Arnulfo García-Hernández
Publikováno v:
IEEE Access, Vol 8, Pp 49896-49907 (2020)
The automatic text summarization (ATS) task consists in automatically synthesizing a document to provide a condensed version of it. Creating a summary requires not only selecting the main topics of the sentences but also identifying the key relations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f83b87bbb2c7803eef7f4bd8f4b299eb
https://ieeexplore.ieee.org/document/9032188/
https://ieeexplore.ieee.org/document/9032188/
Autor:
Verónica Neri-Mendoza, Yulia Ledeneva, René Arnulfo García-Hernández, Ángel Hernández-Castañeda
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031077494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fdf6739f18fcdc323ebe1b459603317
https://doi.org/10.1007/978-3-031-07750-0_24
https://doi.org/10.1007/978-3-031-07750-0_24
Publikováno v:
Advances in Computational Intelligence ISBN: 9783031194924
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c4d06e4182ae73e78c95325ccb3a37
https://doi.org/10.1007/978-3-031-19493-1_31
https://doi.org/10.1007/978-3-031-19493-1_31
Publikováno v:
IEEE Access. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::691bf10168d6382bc9f6102c30627ef2
https://doi.org/10.1109/access.2023.3279101
https://doi.org/10.1109/access.2023.3279101
Autor:
Ángel Hernández Castañeda, Mikhail Alexandrov, Griselda Areli Matias Mendoza, Yulia Ledeneva, René Arnulfo García Hernández
Publikováno v:
Computación y Sistemas. 24
The textual information has accelerated growth in the most spoken languages by native Internet users, such as Chinese, Spanish, English, Arabic, Hindi, Portuguese, Bengali, Russian, among others. It is necessary to innovate the methods of Automatic T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdd9c4a9c7f7492282e9d998a4c301b
https://doi.org/10.13053/cys-24-3-3484
https://doi.org/10.13053/cys-24-3-3484
Autor:
René Arnulfo García Hernández, Yulia Ledeneva, Christian Eduardo Millán Hernández, Ángel Hernández Castañeda
Publikováno v:
Computación y Sistemas. 24
In recent years, with the rise of the Internet, the automatic deception detection in text is an important task to recognize those of documents that try to make people believe in something false. Current studies in this field assume that the entire do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c16539940b8d8def5b54fa4f3ebf4b3f
https://doi.org/10.13053/cys-24-3-3483
https://doi.org/10.13053/cys-24-3-3483
Autor:
Yulia Ledeneva, Christian Eduardo Millán-Hernández, René Arnulfo García-Hernández, Ángel Hernández-Castañeda
Publikováno v:
Computer Speech & Language. 71:101267
This study proposes a language and domain independent approach for automatic extractive text summarization (EATS) tasks, which is based on a clustering scheme supported by a genetic algorithm (GA), to find an optimal grouping of sentences. Furthermor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1582675af34faf295e3fdd55b45513da
https://doi.org/10.1016/j.csl.2021.101267
https://doi.org/10.1016/j.csl.2021.101267
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 35:549-558
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::673b090e87a77a08e62797d02f6753ea
https://doi.org/10.3233/jifs-169610
https://doi.org/10.3233/jifs-169610