Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Juan Martinez-Romo"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7 (2024)
Externí odkaz:
https://doaj.org/article/d4a53d5c13de44768d3b519c5a232e13
Autor:
Lourdes Araujo, Juan Martinez-Romo, Otilia Bisbal, Ricardo Sanchez-de-Madariaga, The Cohort of the National AIDS Network (CoRIS)
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along thi
Externí odkaz:
https://doaj.org/article/a3fa788973d14125a4f2a2ddbbe27883
Autor:
Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano, Lourdes Araujo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very
Externí odkaz:
https://doaj.org/article/52a5d0d79905491ca23ebf60a57342cd
Publikováno v:
IEEE Access, Vol 8, Pp 218002-218014 (2020)
Learning analytics has emerged as a promising tool for optimizing the learning experience and results, especially in online educational environments. An important challenge in this area is identifying the most difficult topics for students in a subje
Externí odkaz:
https://doaj.org/article/e1994423dff24a5da98742e89d3c848c
Publikováno v:
IEEE Access, Vol 8, Pp 155399-155408 (2020)
Disabilities are a problem that affects a large number of people in the world. Gathering information about them is crucial to improve the daily life of the people who suffer from them but, since disabilities are often strongly associated with differe
Externí odkaz:
https://doaj.org/article/1871ab96e85c4e0bbabe0b8104a49b07
Publikováno v:
INTED2023 Proceedings.
Publikováno v:
IEEE Access. 8:218002-218014
Learning analytics has emerged as a promising tool for optimizing the learning experience and results, especially in online educational environments. An important challenge in this area is identifying the most difficult topics for students in a subje
Publikováno v:
Journal of Biomedical Informatics. 138:104279
Named Entity Recognition (NER) and Relation Extraction (RE) are two of the most studied tasks in biomedical Natural Language Processing (NLP). The detection of specific terms and entities and the relationships between them are key aspects for the dev
Publikováno v:
Scientometrics. 120:105-127
We propose a new approach to recommend scientific literature, a domain in which the efficient organization and search of information is crucial. The proposed system relies on the hypothesis that two scientific articles are semantically related if the
Can deep learning techniques improve classification performance of vandalism detection in Wikipedia?
Publikováno v:
Engineering Applications of Artificial Intelligence. 78:248-259
Wikipedia is a free encyclopedia created as an international collaborative project. One of its peculiarities is that any user can edit its contents almost without restrictions, what has given rise to a phenomenon known as vandalism. Vandalism is any