Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Javier G. Marín-Blázquez"'
Autor:
Juan Manuel Espín López, Alberto Huertas Celdrán, Javier G. Marín-Blázquez, Francisco Esquembre, Gregorio Martínez Pérez
Publikováno v:
Sensors, Vol 21, Iss 11, p 3765 (2021)
Continuous authentication systems have been proposed as a promising solution to authenticate users in smartphones in a non-intrusive way. However, current systems have important weaknesses related to the amount of data or time needed to build precise
Externí odkaz:
https://doaj.org/article/e422e24536914b138eece2e01a003ebb
Publikováno v:
MLSP
Automatic Speaker Verification (ASV) is being implemented in many applications, where maximum security and robustness against attacks must be guaranteed. One of the most challenging attacks that an ASV system can face is the so called "logical access
Publikováno v:
Concurrency and Computation: Practice and Experience. 24:2007-2027
Trust is, in some cases, being considered as a requirement in highly distributed communication scenarios. Before accessing a particular service, a trust model is then being used in these scenarios to determine if the service provider can be trusted o
Publikováno v:
Intelligent Automation & Soft Computing. 17:41-59
Ensuring trust and confidence in virtual communities' transactions is a critical issue nowadays. But even more important can become the use of robust and accurate trust models allowing an entity to decide which other entity to interact with. This pap
Publikováno v:
Soft Computing. 13:273-290
Intrusion detection systems (IDS) are a fundamental defence component in the architecture of the current telecommunication systems. Misuse detection is one of the different approaches to create IDS. It is based on the automatic generation of detectio
Autor:
Qiang Shen, Javier G. Marín-Blázquez
Publikováno v:
IEEE Transactions on Fuzzy Systems. 10:484-497
This paper presents an effective and efficient approach for translating fuzzy classification rules that use approximative sets to rules that use descriptive sets and linguistic hedges of predefined meaning. It works by first generating rules that use
Publikováno v:
Information Sciences. 136:193-214
In this paper the use of different methods from the fuzzy modeling field for classification tasks is evaluated and the potential of their integration in producing better classification results is investigated. The methods considered, approximative in
Publikováno v:
CIT
Trust is, in some cases, being considered as a requirement in highly distributed communication scenarios. Before accessing a particular service, a trust model is then being used in these scenarios to determine if the service provider can be trusted o
Autor:
Javier G. Marín-Blázquez, Qiang Shen
Publikováno v:
International Journal of Computational Intelligence Research. 4
J. G. Marin-Blazquez and Q. Shen. A fuzzy-XCS classifier system with linguistic hedges. Computational Intelligence Research, 4(4):329-341, 2008.
Publikováno v:
FUZZ-IEEE
Data-driven construction of fuzzy systems has followed two different approaches. One approach is termed precise (or approximative) fuzzy modelling, that aims at numerical approximation of functions by rules, but that pays little attention to the inte