Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Juan Galán-Páez"'
Publikováno v:
Information, Vol 14, Iss 5, p 256 (2023)
The aim of predictive maintenance, within the field of prognostics and health management (PHM), is to identify and anticipate potential issues in the equipment before these become serious. The main challenge to be addressed is to assess the amount of
Externí odkaz:
https://doaj.org/article/ea874c38d012467f9b8700806c0b3ecb
Publikováno v:
Mathematics, Vol 9, Iss 3, p 252 (2021)
In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a notion of basis (and dimension)
Externí odkaz:
https://doaj.org/article/47a9a289efc64ba896862da0676b8f6c
Concept Mining is one of the main challenges both in Cognitive Computing and in Machine Learning. The ongoing improvement of solutions to address this issue raises the need to analyze whether the consistency of the learning process is preserved. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f80e3c26920e24182fbf94b83d16640
https://hdl.handle.net/10272/21890
https://hdl.handle.net/10272/21890
Autor:
Joaquín Borrego-Díaz, Juan Galán-Páez
A widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed momentum to the relatively new research area of eXplainable AI (XAI). Nowadays, the importance of XAI li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73ee4ad742f0ed50fd63cd4e5c97259
Publikováno v:
14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021) ISBN: 9783030878719
CISIS-ICEUTE
CISIS-ICEUTE
Risk-based methodologies for de-identification provide solutions to ensure privacy. These are based on the availability of sound metrics to estimate the risk of re-identification. Two issues associated with classical risk estimation are, on the one h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f43bd055fbd393c7f9ccea5b369c65d
https://doi.org/10.1007/978-3-030-87872-6_2
https://doi.org/10.1007/978-3-030-87872-6_2
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Mathematics
Volume 9
Issue 3
Mathematics, Vol 9, Iss 252, p 252 (2021)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname
Mathematics
Volume 9
Issue 3
Mathematics, Vol 9, Iss 252, p 252 (2021)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Arias Montano. Repositorio Institucional de la Universidad de Huelva
In the paradigm of Knowledge-Based Systems (KBS), the design of methods to simplify the reasoning leads to more efficient processes. A point of view that provides valuable insights is the algebraic one. In this work, a notion of basis (and dimension)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa6090d0899905b858fb6f73a34d5380
his paper presents the data-driven techniques and method ologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature. The solution presented is based on two Deep Con volutional Neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099abe981b53c652792768238fe3671e
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
The present work introduces the Knowledge Harnessing, by showing its theoretical foundations as well as a three-way decision model to deal with it. The problem poses how to extract valid information about a specific context from conflicting or uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeba45b7be5d26b88e264562c0b2319f
Autor:
Joaquín Borrego-Díaz, Alejandro Trujillo Caballero, Gonzalo A. Aranda-Corral, Juan Galán-Páez
Publikováno v:
Trends in Mathematics and Computational Intelligence ISBN: 9783030004842
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
In this paper, we introduce an implementation of an inference rule called “Independence Rule” which lets us reduce the size of knowledge basis based on the retraction problem. This implementation is made in a functional language, Scala, and speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac470ad5b644e6e81d5dcd12888119c
https://doi.org/10.1007/978-3-030-00485-9_8
https://doi.org/10.1007/978-3-030-00485-9_8
Publikováno v:
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569901
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
This work introduces a (qualitative) data-driven framework to extract patterns of pedestrian behaviour and synthesize Agent-Based Models. The idea consists in obtaining a rule-based model of pedestrian behaviour by means of automated methods from dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c4ce0dfd522e75c3fb410be564165f
https://doi.org/10.1007/978-3-319-56991-8_19
https://doi.org/10.1007/978-3-319-56991-8_19