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Listar por autor "Martínez Ballesteros, María del Mar"
Mostrando ítems 21-40 de 55
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Ponencia
Cis-cop: Multiobjective identification of cis-regulatory modules based on constrains
Romero Zaliz, Rocío; Martínez Ballesteros, María del Mar; Zwir, Igor; Val, Coral del (Universidad de Huelva, 2010)Gene expression regulation is an intricate, dynamic phenomenon essential for all biolog ical functions. The necessary ...
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Trabajo Fin de Grado
Curvas de Edwards para firma digital: EdDSA
Sendín Martín, José Cristóbal (2023)EdDSA is the digital signature used in the Signal protocol. The development of this protocol was a milestone for instant ...
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Ponencia
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
Troncoso García, Ángela del Robledo; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia (Springer Link, 2023-09)This paper explores the use of deep learning techniques for detecting sleep apnea. Sleep apnea is a common sleep disorder ...
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Ponencia
Descubriendo Reglas de Asociación Numéricas entre Series Temporales
Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (Universidad de Sevilla, 2009)Este trabajo presenta el descubrimiento de reglas de asociación basadas en técnicas evolutivas para obtener relaciones ...
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Artículo
Discovering gene association networks by multi-objective evolutionary quantitative association rules
Martínez Ballesteros, María del Mar; Nepomuceno Chamorro, Isabel de los Ángeles; Riquelme Santos, José Cristóbal (Elsevier, 2014)In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ...
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Artículo
Discovering quantitative association rules: A novel approach based on evolutionary algorithms
Martínez Ballesteros, María del Mar (IOS Press, 2014)This work proposes a novel methodology to improve the discovery of quantitative association rules in continuous datasets. ...
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Ponencia
Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules
Sánchez Medina, Alejandro; Gil Pichardo, Alberto; García Heredia, José Manuel; Martínez Ballesteros, María del Mar (Springer, 2016)This work proposes a methodology to identify genes highly related with cancer. In particular, a multi-objective evolutionary ...
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Ponencia
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (Springer Link, 2023-10)Traditional time series forecasting models often use all available variables, including potentially irrelevant or noisy ...
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Artículo
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
Martínez Ballesteros, María del Mar; Bacardit, Jaume; Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal (iOS Press, 2015)Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ...
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Ponencia
EVFUZZYSYSTEM: evolución de sistemas difusos para problemas de regresión multi-dimensionales
Martínez Ballesteros, María del Mar; Rivas, Víctor M. (Universidad de Huelva, 2010)Este trabajo presenta EvFuzzySystem, un método evolutivo que permite el diseño com pleto de sistemas de lógica difusa, ...
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Tesis Doctoral
Evolutionary Algorithms to Discover Quantitative Association Rules
Martínez Ballesteros, María del Mar (2011) -
Artículo
Evolutionary association rules for total ozone content modeling from satellite observations
Martínez Ballesteros, María del Mar; Salcedo Sanz, S.; Riquelme Santos, José Cristóbal; Casanova Mateo, C.; Camacho, J. L. (Elsevier, 2011)In this paper we propose an evolutionary method of association rules discovery (EQAR, Evolutionary Quan titative Association ...
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Ponencia
Evolutionary computation to explain deep learning models for time series forecasting
Troncoso García, Ángela del Robledo; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia (Association for Computing Machinery, 2023-06)Deep learning has become one of the most useful tools in the last years to mine information from large datasets. Despite ...
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Artículo
Explainable machine learning for sleep apnea prediction
Troncoso García, Ángela del Robledo; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Troncoso Lora, Alicia (ScienceDirect, 2022)Machine and deep learning has become one of the most useful tools in the last years as a diagnosis-decision-support tool ...
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Artículo
Explaining deep learning models for ozone pollution prediction via embedded feature selection
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (ScienceDirect, 2024)Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is ...
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Ponencia
Explaining Learned Patterns in Deep Learning by Association Rules Mining
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (SpringerLink, 2023-08)This paper proposes a novel approach that combines an association rule algorithm with a deep learning model to enhance the ...
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Artículo
Extensiones para el Ciclo de Mejora Continua en la enseñanza e investigación de Ingeniería Informática
Álvarez de la Concepción, Miguel Ángel; Jiménez Ramírez, Andrés; Martínez Ballesteros, María del Mar; Martínez Gasca, Rafael; Parody Núñez, María Luisa; Soria Morillo, Luis Miguel (2011)Este trabajo expone cómo añadiendo aspectos relacionados con la vigilancia tecnológica, las técnicas creativas aplicadas ...
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Artículo
External clustering validity index based on chi-squared statistical test
Luna Romera, José María; Martínez Ballesteros, María del Mar; García Gutiérrez, Jorge; Riquelme Santos, José Cristóbal (Elsevier, 2019)Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters ...
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Ponencia
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection
Jiménez Navarro, Manuel Jesús; Martínez Ballesteros, María del Mar; Sousa Brito, Isabel Sofía; Martínez Álvarez, Francisco; Asencio Cortés, Gualberto (SpringerLink, 2022)Neural networks have proven to be a good alternative in application fields such as healthcare, time-series forecasting and ...
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Artículo
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
Martínez Ballesteros, María del Mar; Troncoso Lora, Alicia; Martínez Álvarez, Francisco; Riquelme Santos, José Cristóbal (Springer, 2015)This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association ...