Listar por autor "Aldana-Montes, José Francisco"
Mostrando ítems 1-20 de 65
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A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study
Picornell Rodríguez, Antonio; Hurtado-Requena, Sandro José
; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Ruiz-Mata, Rocío; De Gálvez-Montañez, Enrique; Recio-Criado, María Marta; Trigo-Pérez, María del Mar; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (Elsevier, 2023-11-16)
Airborne pollen can trigger allergic rhinitis and other respiratory diseases in the synthesised population, which makes it one of the most relevant biological contaminants. Therefore, implementing accurate forecast systems ... -
A Multi-Objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics
Zambrano-Vega, Cristian; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Aldana-Montes, José Francisco (2017-05-02)
The alignment of more than two biological sequences is a widely used technique in a number of areas of computational biology. However, finding an optimal alignment has been shown to be an NP-complete optimization problem. ... -
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José Manuel; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (2016-07-12)
Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ... -
A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking
García-Nieto, José Manuel; López-Camacho, Esteban; García Godoy, María Jesús; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Aldana-Montes, José Francisco[et al.] (2016-09-30)
Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective ... -
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
Benítez-Hidalgo, Antonio; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; García-Nieto, José Manuel; López-Camacho, Esteban; Barba-González, Cristóbal; Aldana-Montes, José Francisco[et al.] (2018-11-05)
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and other ... -
Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach.
Mulero-Pázmány, Margarita Cristina; Hurtado-Requena, Sandro José; Barba-González, Cristóbal; Antequera-Gómez, María Luisa; Díaz-Ruiz, Francisco; Real-Giménez, Raimundo; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Springer-Nature, 2025-05-09)
Wildlife biologists increasingly use camera traps for monitoring animal populations. However, manually sifting through the collected images is expensive and time-consuming. Current deep learning studies for camera trap ... -
Algoritmo Evolutivo Multi-Objectivo para la Toma de Decisiones Interactiva en Optimización Dinámica
Barba-González, Cristóbal; García-Nieto, José Manuel; Ruiz-Mora, Ana Belén; Nebro-Urbaneja, Antonio Jesús; Luque-Gallego, Mariano; Aldana-Montes, José Francisco[et al.] (2018-11-09)
Debido al creciente interés en el análisis de datos en streaming en entornos Big Data para la toma de decisiones, cada vez es más común la aparición de problemas de optimización dinámica que involucran dos o más objetivos ... -
AMMO-Prot: Amine system project 3D-model finder
Navas-Delgado, Ismael; Pino-Ángeles, Almudena; Montañez, Raúl; Moya-García, Aurelio Ángel; Urdiales-Ruiz, José Luis; Sánchez-Jiménez, Francisca María; Aldana-Montes, José Francisco[et al.] (Springer Nature, 2008-04)
Background: Amines are biogenic amino acid derivatives, which play pleiotropic and very important yet complex roles in animal physiology. For many other relevant biomolecules, biochemical and molecular data are being ... -
Análisis de los datos del acelerómetro para detección de actividades
Hurtado-Requena, Sandro José; Barba-González, Cristóbal; Rybinski, Maciej; Barón-López, Francisco Javier; Warnberg, Julia; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (2018-10-03)
La inactividad física es uno de los principales factores de riesgo de mortalidad y su relación con las principales enfermedades crónicas es objeto de intensas investigaciones medicas. Un método objetivo de la evaluación ... -
Application of Semantics to Solve Problems in Life Sciences
(UMA Editorial, 2018)La cantidad de información que se genera en la Web se ha incrementado en los últimos años. La mayor parte de esta información se encuentra accesible en texto, siendo el ser humano el principal usuario de la Web. Sin embargo, ... -
Artificial decision maker driven by PSO: an approach for testing reference point based interactive methods
Ojalehto, Vesa; Nebro-Urbaneja, Antonio Jesús; Miettinen, Kaisa; Aldana-Montes, José Francisco; García-Nieto, José Manuel; Barba-González, Cristóbal[et al.] (2018-09-14)
Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively ... -
Automatic frequency-based feature selection using discrete weighted evolution strategy
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2022-10-10)
High dimensional datasets usually suffer from curse of dimensionality which may increase the classification time and decrease the classification accuracy beyond a certain dimensionality. Thus, feature selection is used to ... -
Big Data Optimization : Algorithmic Framework for Data Analysis Guided by Semantics
Barba-González, Cristóbal (UMA Editorial, 2018-10-30)
Over the past decade the rapid rise of creating data in all domains of knowledge such as traffic, medicine, social network, industry, etc., has highlighted the need for enhancing the process of analyzing large data volumes, ... -
Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica
En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ... -
Big Data-driven MLOps workflow for annual high-resolution land cover classification models
Burgueño Romero, Antonio Manuel; Barba-González, Cristóbal; Aldana-Montes, José Francisco (Elsevier, 2024-08)
Developing an annual and global high-resolution land cover map is one of the most ambitious tasks in remote sensing, with increasing importance due to the continual rise in validated data and satellite imagery. The success ... -
BIGOWL: Knowledge centered Big Data analytics
Barba-González, Cristóbal; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco[et al.] (Elsevier, 2018-08-23)
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data analytics. Knowledge can take part in workflow design, constraint definition, parameter selection and configuration, ... -
Bioqueries: a collaborative environment to create, explore and share SPARQL queries in Life Sciences
Navas-Delgado, Ismael; García-Godoy, María Jesús; López-Camacho, Esteban; Aldana-Montes, José Francisco (2016)
Bioqueries provides a collaborative environment to create, explore, execute, clone and share SPARQL queries (including Federated Queries). Federated SPARQL queries can retrieve information from more than one data source. -
Bioqueries: a collaborative environment to create, explore and share SPARQL queries in Life Sciences
García-Godoy, María Jesús; López-Camacho, Esteban; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (2016)
Bioqueries provides a collaborative environment to create, explore, execute, clone and share SPARQL queries (including Federated Queries). Federated SPARQL queries can retrieve information from more than one data source. -
Coordinación de casos prácticos en asignaturas del área de conocimiento “Gestión de la Información” según modelo curricular de informática de la ACM/IEEE 2013
García-Nieto, José Manuel; Navas-Delgado, Ismael; Roldán-García, María del Mar; Nebro-Urbaneja, Antonio Jesús; Gómez López, María Teresa; Bernárdez Jiménez, Beatriz; Aldana-Montes, José Francisco[et al.] (2017-07-04)
Este artículo presenta el estado de desarrollo y resultados preliminares del proyecto de innovación docente de la Universidad de Málaga (PIE15-183): Coor-dinación de casos prácticos en asignaturas del área de conocimiento ... -
Docking Inter/Intra-Molecular Mediante Metaheurísticas Multi-objetivo
López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José Manuel; Nebro-Urbaneja, Antonio Jesús; Aldana-Montes, José Francisco (2015-02-11)
El Acoplamiento Molecular (Molecular Docking) es un problema de optimización de gran complejidad que consiste en predecir la orientación de dos moléculas: el ligando y el receptor, de manera que formen un complejo molecular ...