Zobrazeno 1 - 10
of 61
pro vyhledávání: '"César García-Osorio"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1340 (2023)
Recognizing transcription start sites is key to gene identification. Several approaches have been employed in related problems such as detecting translation initiation sites or promoters, many of the most recent ones based on machine learning. Deep l
Externí odkaz:
https://doaj.org/article/c408f85e87f243fb834d1c7193eae5c5
Autor:
Alicia Olivares-Gil, Adrián Arnaiz-Rodríguez, José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, Virginia Ahedo, César García-Osorio, José Ignacio Santos, José Manuel Galán
Publikováno v:
International Journal of Production Management and Engineering, Vol 10, Iss 1, Pp 65-76 (2022)
Understanding the scientific and social structure of a discipline is a fundamental aspect for scientific evaluation processes, identifying trends and niches, and balancing the trade-off between exploitation and exploration in research. In the present
Externí odkaz:
https://doaj.org/article/59c828a52a964a48b9e4e54bb38012f7
Autor:
José Luis Garrido-Labrador, José Miguel Ramírez-Sanz, Virginia Ahedo, Adrián Arnaiz-Rodríguez, César García-Osorio, José Ignacio Santos, José Manuel Galán
Publikováno v:
Dirección y Organización. :59-67
Este artículo analiza la base de datos TESEO mediante redes complejas para obtener la estructura informal del área de conocimiento de Organización de Empresas en España. Para ello, toma todas las tesis referidas al campo UNESCO de Organización y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95afd765ddb8392f6e4aea9120fc492f
https://doi.org/10.37610/dyo.v0i79.638
https://doi.org/10.37610/dyo.v0i79.638
Mouse version of10.5281/zenodo.7147597
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63cc5f811ffb01972c655b25bc969151
Publikováno v:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
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This paper studies the effects that combinations of balancing and feature selection techniques have on wide data (many more attributes than instances) when different classifiers are used. For this, an extensive study is done using 14 datasets, 3 bala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee48c4b547a2904f70e23199e3e52f2
http://hdl.handle.net/10259/6192
http://hdl.handle.net/10259/6192
Autor:
María Consuelo Sáiz-Manzanares, José-Francisco Díez-Pastor, Luis Jorge Martín Antón, César García Osorio
Publikováno v:
Information Discovery and Delivery. 47:53-63
PurposeRecent research in higher education has pointed out that personalized e-learning through the use of learning management systems, such as Moodle, improves the academic results of students and facilitates the detection of at-risk students.Design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06beb087378c7bef87f737ee5bcb9cac
https://doi.org/10.1108/idd-08-2018-0039
https://doi.org/10.1108/idd-08-2018-0039
Autor:
Joan Carles Melgarejo, Álvar Arnaiz-González, Josep Bosch, Susana E. Jorge-Villar, José-Francisco Díez-Pastor, Yael Díaz-Acha, Marc Campeny, César García-Osorio
Publikováno v:
Journal of Raman Spectroscopy. 51:1563-1574
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23c1040e7157b03852c3cca80ad8e3d8
https://doi.org/10.1002/jrs.5509
https://doi.org/10.1002/jrs.5509
Publikováno v:
Expert Systems with Applications. 109:114-130
In this paper, the focus is on the application of prototype selection to multi-label data sets as a preliminary stage in the learning process. There are two general strategies when designing Machine Learning algorithms that are capable of dealing wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f5c7095399a57549f4cd5dc411b8528
https://doi.org/10.1016/j.eswa.2018.05.017
https://doi.org/10.1016/j.eswa.2018.05.017
Autor:
Juan J. Rodríguez, Mario Juez-Gil, César García-Osorio, Álvar Arnaiz-González, Carlos López-Nozal
Publikováno v:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname
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One of the main goals of Big Data research, is to find new data mining methods that are able to process large amounts of data in acceptable times. In Big Data classification, as in traditional classification, class imbalance is a common problem that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0452ce670d6e23452b3f32686993b75
http://hdl.handle.net/10259/6206
http://hdl.handle.net/10259/6206
Autor:
César García-Osorio, Juan J. Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Carlos López-Nozal
Publikováno v:
Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname
instname
The Rotation Forest classifier is a successful ensemble method for a wide variety of data mining applications. However, the way in which Rotation Forest transforms the feature space through PCA, although powerful, penalizes training and prediction ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd70c22f6ec88900a2194d286808a807
http://hdl.handle.net/10259/6207
http://hdl.handle.net/10259/6207