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Listar por autor "Aldana-Montes, José Francisco"
Mostrando ítems 21-40 de 53
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Especificación de una Ontologı́a para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana.
Brys, Carlos Roberto (UMA Editorial, 2024)En esta tesis, se propone una Especificación de una Ontología para el Gobierno Electrónico en el Contexto de la Administración Pública Latinoamericana, con el objetivo de evolucionar el modelo actual de la estructura ... -
Estudio de Estrategias de Archivo en PSO Multi-Objetivo para el Docking Molecular
López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José Manuel; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (2016)El acoplamiento molecular es un problema de optimización complejo cuyo objetivo es la predicción de la posición de un ligando en el sitio activo de un receptor con la mínima energía de unión. Este problema puede ser formulado ... -
FIMED: Flexible management of biomedical data
Hurtado-Requena, Sandro José; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2021-11)Background and objectives: In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design ... -
FIMED: Flexible management of biomedical data
Hurtado-Requena, Sandro José; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (2022-09-05)In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design limitations, since they are ... -
Un Framework para Big Data Optimization Basado en jMetal y Spark
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Cordero Benítez, José Andrés; Durillo, Juan J.; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (2016)Las metaheurísticas multi-objetivo se han convertido en técnicas muy utilizadas para la resolución de problemas complejos de optimización compuestos de varias funciones objetivo en conflicto entre sí. Nos encontramos en ... -
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
Segura Ortiz, Adrián; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2023)Gene regulatory networks define the interactions between DNA products and other substances in cells. Increasing knowledge of these networks improves the level of detail with which the processes that trigger different ... -
GreenSenti-IA: A Workflow Approach for Biodiversity Analysis in Urban Green Area Monitoring.
Benítez-Hidalgo, Antonio; García-Nieto, José Manuel; Aldana Martín, José Francisco; Cardas Ezeiza, Cristian; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (2023)Nowadays, efficient urban planning cannot be conceived without carefully considering its ecological footprint. In particular, the smart design and monitoring of urban green areas is an important challenge in modern cities ... -
Improving approximation of domain-focused, corpus-based, lexical semantic relatedness
Rybinski, Maciej (UMA Editorial, 2017-06-25)Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating ... -
iNGS: a prototype tool for genome interpretation and annotation
Navas-Delgado, Ismael; García Godoy, María Jesús; Arjona-Pulido, Fátima; Castillo-Castillo, Trinidad; Ramos-Ostio, Ana Isabel; Infantes-Díaz, Sarai; Medina García, Ana; Aldana-Montes, José Francisco[et al.] (EMBnet.journal, 2013)Currently, clinical interpretation of whole-genome NGS genetic findings are very low-throughput because of a lack of computational tools/software. The current bottleneck of whole-genome and whole-exome sequencing projects ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Elsevier, 2021-05-15)In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
kpath: An example of metabolic pathway data integration using Linked Data
Navas-Delgado, Ismael; García-Godoy, María Jesús; López-Camacho, Esteban; Ribinski, Maciej; Reyes-Palomares, Armando; Medina-Torres, Miguel Ángel; Aldana-Montes, José Francisco[et al.] (2016)The main databases related to metabolic pathways, such as Kegg, Brenda, Reactome and Biocyc, provide partially interlinked data on metabolic pathways. This limitation only allows independent searches to retrieve cross-database ... -
La enseñanza del metabolismo: retos y oportunidades
Medina-Torres, Miguel Ángel; Suárez-Marín, María Fernanda; Alonso-Carrión, Francisco José; Valpuesta-Fernández, Victoriano; Heredia-Bayona, Antonio; Salto-González, Rafael; Vílchez-Rienda, José Dámaso; Girón González, María Dolores; Morata-Losa, María Pilar; Urdiales-Ruiz, José Luis; Fajardo-Paredes, Ignacio José; García Ponce, Ángel Luis; Torres, Néstor; Santos, Guido; Herráez, Ángel; Roca-Salom, Pilar; Sastre-Serra, Jorge; Oliver, Jordi; Martínez-Póveda, Beatriz Amparo; Rodríguez-Quesada, Ana María; Navas-Delgado, Ismael; García-Godoy, María Jesús; López-Camacho, Esteban; Rybinski, Maciej; Aldana-Montes, José Francisco; Rodrígue-Caso, Carlos; Pérez-Rodríguez, Josefa; Blanco-López, Ángel[et al.] (2017-12)Hemos estructurado los contenidos del libro en diversas secciones. La primera presenta el Proyecto en cuyo marco se ha gestado la iniciativa que ha conducido a la edición del presente libro. La segunda sección la hemos ... -
Melanoma expression analysis with Big Data technologies
Fernández-Rovira, Alicia; Lavado Valenzuela, Rocío; Berciano-Guerrero, Miguel Ángel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (PeerJ, 2017-09-26)Melanoma is a highly immunogenic tumor. Therefore, in recent years physicians have incorporated drugs that alter the immune system into their therapeutic arsenal against this disease, revolutionizing in the treatment of ... -
Metaheurísticas de optimización multiobjetivo aplicadas a la inferencia filogenética y al alineamiento múltiple de secuencias
Zambrano-Vega, Cristian (UMA Editorial, 2017)La temática sobre la que ha girado esta tesis doctoral ha sido la optimización de dos problemas del campo de la Bioinformática: la Inferencia Filogenética y al Alineamiento Múltiple de Secuencias usando metaheurísticas ... -
MOODY: An ontology-driven framework for standardizing multi-objective evolutionary algorithms
Aldana Martín, José Francisco; Roldán-García, María del Mar; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (Elsevier, 2024-01-23)The application of semantic technologies, particularly ontologies, in the realm of multi-objective evolutionary algorithms is overlook despite their effectiveness in knowledge representation. In this paper, we introduce ... -
Multi-Objective Big Data Optimization with jMetal and Spark
Barba-González, Cristóbal; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Nebro-Urbaneja, Antonio Jesús (2017-04-20)Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ... -
Ontology-Driven Approach for KPI Meta-modelling, Selection and Reasoning
Roldán-García, María del Mar; García-Nieto, José Manuel; Maté, Alejandro; Trujillo, Juan; Aldana-Montes, José Francisco (2022-09)A key challenge in current Business Analytics (BA) is the selection of suitable indicators for business objectives. This requires the exploration of business data through data-driven approaches, while modelling business ... -
Optimización multi-objetivo en las ciencias de la vida.
López Camacho, Esteban (UMA Editorial, 2017-10-26)Las herramientas de acoplamiento molecular han llegado a ser bastante eficientes en el descubrimiento de fármacos y en el desarrollo de la investigación de la industria farmacéutica. Estas herramientas se utilizan para ... -
Paralelización de algoritmos de minería de textos con Hadoop
Carrasco Barrios, Elena (2018-02-21)Este Trabajo Fin de Grado (TFG) tiene como objetivos paralelizar algoritmos de minería de textos para poder permitir su ejecución con una gran cantidad de textos en el menor tiempo posible y con usuarios concurrentes, y ...