Listar LCC - Artículos por autor "Aldana-Montes, José Francisco"
Mostrando ítems 1-10 de 10
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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: 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 ... -
Ensemble-based genetic algorithm explainer with automized image segmentation: A case study on melanoma detection dataset
Nematzadeh, Hossein; García-Nieto, José Manuel; Navas-Delgado, Ismael; Aldana-Montes, José Francisco (Elsevier, 2023)Explainable Artificial Intelligence (XAI) makes AI understandable to the human user particularly when the model is complex and opaque. Local Interpretable Model-agnostic Explanations (LIME) has an image explainer package ... -
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 ... -
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 ... -
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, ... -
Pattern recognition frequency-based feature selection with multi-objective discrete evolution strategy for high-dimensional medical datasets
Nematzadeh, Hossein; García-Nieto, José Manuel; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2024-02-17)Feature selection has a prominent role in high-dimensional datasets to increase classification accuracy, decrease the learning algorithm computational time, and present the most informative features to decision-makers. ... -
Semantic modelling of Earth Observation remote sensing
Aldana Martín, José Francisco; García-Nieto, José Manuel; Roldán-García, María del Mar; Aldana-Montes, José Francisco (ELSEVIER, 2022-01)Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ... -
TITAN: A knowledge-based platform for Big Data workflow management
Benítez-Hidalgo, Antonio; Barba-González, Cristóbal; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesús; Roldán-García, María del Mar; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (ELSEVIER, 2021-11-28)Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ... -
Towards an ontology-driven clinical experience sharing ecosystem: demonstration with liver cases
Roldán-García, María del Mar; Uskudarli, Suzan; Marvasti, Neda B.; Acar, Burak; Aldana-Montes, José Francisco (ELSEVIER, 2018)Past medical cases, hence clinical experience, are invaluable resources in supporting clinical practice, research, and education. Medical professionals need to be able to exchange information about patient cases and explore ...