Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Eugenio Martínez-Cámara"'
Autor:
Nuria Rodríguez-Barroso, Daniel Jiménez-López, M. Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara
Publikováno v:
Information Fusion. 90:148-173
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-preservation demands in artificial intelligence. As machine learning, federated learning is threatened by adversarial attacks against the integrity of the lea
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
instname
Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data, is vulnerable to Byzatine poisoning adversarial attacks. We argue that the federated learning model has to avoid tho
Autor:
Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Iyad A. Katib, Francisco Herrera
There exist a high demand to provide explainability to artificial intelligence systems, where decision making models are included. This paper focuses on crowd decision making using natural language evaluations from social media with the aim to provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a971dd6a16607035bb7f15471a84fbf1
https://hdl.handle.net/10481/82785
https://hdl.handle.net/10481/82785
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Journal of Ambient Intelligence and Humanized Computing
Fundación Tecnalia Research & Innovation
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Journal of Ambient Intelligence and Humanized Computing
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
Extremism has grown as a global problem for society in recent years, especially after the apparition of movements such as jihadism. This and other extremist gro
Extremism has grown as a global problem for society in recent years, especially after the apparition of movements such as jihadism. This and other extremist gro
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030853648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ab5f030ddcbbbfb0e3c9617105cdb0
https://doi.org/10.1007/978-3-030-85365-5_19
https://doi.org/10.1007/978-3-030-85365-5_19
Autor:
Francisco Herrera, Raheem Sarwar, Saeed-Ul Hassan, Eugenio Martínez-Cámara, Sebastián Ventura, Mudassir Shabbir, Sehrish Iqbal, Naif Radi Aljohani, Umair Ali
Publikováno v:
Scientometrics. 124:973-991
We argue that classic citation-based scientific document clustering approaches, like co-citation or Bibliographic Coupling, lack to leverage the social-usage of the scientific literature originate through online information dissemination platforms, s
Autor:
Francisco Herrera, Carla Vairetti, Victoria Luzón, Sebastián Maldonado, Eugenio Martínez-Cámara
Publikováno v:
Future Generation Computer Systems. 102:838-846
Sentiment Analysis is an extensively studied task, however an important aspect yet to study is the underlying structural information of opinions. An important aspect to tackle is the analysis underlying structural information of opinions. Social medi
Publikováno v:
Knowledge-Based Systems. 173:117-127
A particular challenge in Natural Language Processing is the disambiguation of polysemic words. The great availability, diversity and the speed of changing of the data from on-line sources force the development of disambiguation systems with a reduce
Publikováno v:
Information Sciences. 480:273-286
Currently, a plethora of industrial and academic sentiment analysis methods for classifying the opinion polarity of a text are available and ready to use. However, each of those methods have their strengths and weaknesses, due mainly to the approach
Autor:
Salud M. Jiménez Zafra, Eugenio Martínez Cámara, L. Alfonso Ureña López, M. Teresa Martin Valdivia
Publikováno v:
IEEE Transactions on Affective Computing. 10:129-141
Polarity classification is a well-known Sentiment Analysis task. However, most research has been oriented towards developing supervised or unsupervised systems without paying much attention to certain linguistic phenomena such as negation. In this pa