Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Yulia Ledeneva"'
Publikováno v:
IEEE Access, Vol 11, Pp 51455-51464 (2023)
A fitness function is a type of objective function that quantifies the optimality of a solution; the correct formulation of this function is relevant, in evolutionary-based ATS systems, because it must indicate the quality of the summaries. Several u
Externí odkaz:
https://doaj.org/article/ec835a5e93a5416d9758104c07b5759e
Autor:
Angel Hernandez-Castaneda, Rene Arnulfo Garcia-Hernandez, Yulia Ledeneva, Christian Eduardo Millan-Hernandez
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://doaj.org/article/135ec07499634824b57ad7c01ac8b2f5
Publikováno v:
Ciencia Ergo Sum, Vol 21, Iss 2, Pp 121-132 (2014)
Se pretende encontrar cuál es el conjunto de reglas de conocimiento que pueden extraerse de aquellos estudiantes que han desertado o que permanecen en sus estudios universitarios tres años después de su ingreso. Se utilizó una base de datos inici
Externí odkaz:
https://doaj.org/article/61c2a4a0f15640eda4602687858c2e95
Autor:
Veronica Neri-Mendoza, Yulia Ledeneva, Rene Arnulfo García-Hernandez, Angel Hernández-Castañeda
Publikováno v:
Computación y Sistemas. 27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d3c8002b9f374e86a75b64000532b7f
https://doi.org/10.13053/cys-27-1-4538
https://doi.org/10.13053/cys-27-1-4538
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6f5ac319fe37831013f7d0f869a1338
https://doi.org/10.1007/978-3-031-24340-0_41
https://doi.org/10.1007/978-3-031-24340-0_41
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
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2027-2036
Since a drug name goes through different communication means and circumstances when it is prescribed, written, advertised, listened to, searched and administered; it tends to be confused with similar drug names that Look-Alike and Sound-Alike (LASA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10fa53754fd85e8fe0947b70bd1350ec
https://doi.org/10.3233/jifs-179869
https://doi.org/10.3233/jifs-179869
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2509-2520
There is a lot of cultural heritage information in historical documents that have not been explored or exploited yet. Lower-Baseline Localization (LBL) is the first step in information retrieval from images of manuscripts where groups of handwritten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e91a0e35ece4bf8fc60423ee490058
https://doi.org/10.3233/jifs-179910
https://doi.org/10.3233/jifs-179910
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2421-2431
The methods of Automatic Extractive Summarization (AES) uses the features of the sentences of the original text to extract the most important information that will be considered in summary. It is known that the first sentences of the text are more re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a036248e257396b3a41dfed6c121fab
https://doi.org/10.3233/jifs-179902
https://doi.org/10.3233/jifs-179902
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 39:2397-2408
The task of Extractive Multi-Document Text Summarization (EMDTS) aims at building a short summary with essential information from a collection of documents. In this paper, we propose an EMDTS method using a Genetic Algorithm (GA). The fitness functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98dce1516fb17d07344a7d4b3416dedf
https://doi.org/10.3233/jifs-179900
https://doi.org/10.3233/jifs-179900