Explora las publicaciones científicas de Minerva, el grupo de investigación en inteligencia artificial, aprendizaje automático y minería de datos de la Universidad de Sevilla.
Busca por título, autor o término de investigación y combina los filtros de año y tipo de publicación. Los resultados se agrupan por año, del más reciente al más antiguo.
Ver todo / quitar filtros · Publicaciones por investigador · Proyectos del grupo
Consultar publicaciones por investigador
- Ana Rodríguez López
- Beatriz Pontes Balanza
- Belén Vega Márquez
- Cristina Rubio Escudero
- Daniel Mateos García
- David Gutiérrez Avilés
- Francisco Javier Galán Sales
- Isabel de los Ángeles Nepomuceno Chamorro
- José Cristóbal Riquelme Santos
- José Enrique Sánchez López
- José María Luna Romera
- Juan Antonio Nepomuceno Chamorro
- Manuel Carranza García
- Manuel Jesús Jiménez Navarro
- María del Mar Martínez Ballesteros
- Pablo Reina Jiménez
Catálogo contrastado con PRISMA, el portal de investigación de la Universidad de Sevilla, el 8 de octubre de 2026.
2016
Renewable generation versus demand-side management. A comparison for the Spanish market Artículo de revista
En: Energy Policy, Elsevier, no 96, pp. 458-470, 2016, (JCR(2016): 4,14).
Tweet categorization by combining content and structural knowledge Artículo de revista
En: Information Fusion, vol. 31, pp. 54-64, 2016, (JCR (2016): 5,667).
Discrete classification technique applied to TV advertisements liking recognition system based on low-cost eeg headsets Artículo de revista
En: Biomedical Engineering Online, 2016, (JCR (2016): 1,683).
Reusing UI elements with Model-Based User Interface Development Artículo de revista
En: International Journal of Human-Computer Studies, , vol. 86, pp. 48-62, 2016, (JCR (2016): 2,863).
TRIQ: A comprehensive evaluation measure for triclustering algorithms Proceedings Article
En: Lecture Notes in Computer Science, pp. 673–684, 2016.
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark Proceedings Article
En: ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016, pp. 160–169, 2016.
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting Proceedings Article
En: HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, pp. 174–185, 2016.
Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules Proceedings Article
En: HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, pp. 694–705, 2016.
A new methodology based on imbalanced classification for predicting outliers in electricity demand time series Artículo de revista
En: Energies, vol. 9, no 9, pp. 752, 2016, (IF: 2.262).
A comparison of machine learning techniques applied to Landsat TM5 spectral data for biomass estimation. Artículo de revista
En: Canadian Journal of Remote Sensing, vol. 42, no 6, pp. 690-705, 2016, (JCR: 1.976 Q2 12/28 Remote Sensing).
A novel methodology to predict urban traffic congestion with ensemble learning Artículo de revista
En: Soft Computing, vol. 20, no 11, pp. 4205-4216, 2016, (IF: 2.47).
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation Proceedings Article
En: HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, pp. 588–596, 2016.
An evolutionary voting for k-nearest neighbours Artículo de revista
En: Expert Systems with Applications, vol. 43, pp. 9-14, 2016, (JCR(2015): 2.981 Q1 19/130 Computer Science, Artificial Intelligence).
An immunohistochemical profile predictive of recurrence and/or mortality in patients with non-special type (NST) invasive mammary carcinoma Artículo de revista
En: Analytical and Quantitative Cytopathology and Histopathology, vol. 38, no 3, pp. 159-167, 2016, (JCR(2015): 0.918 Q4 179/187 CELL BIOLOGY).
Comparison between Utsu's and Vere-Jones' aftershocks model by means of a computer simulation based on the Acceptance-rejection Sampling of von Neumann Artículo de revista
En: Tectonophysics, vol. 682, pp. 108-119, 2016, (IF: 2.69).
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest Artículo de revista
En: European Journal of Remote Sensing, vol. 49, no 533, pp. 185-204, 2016, (JCR(2016): 1.533 Q3 20/29 Remote Sensing).
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification Artículo de revista
En: AI Communications, vol. 29, no 3, pp. 469-471, 2016, (JCR (2015): 0.364).
FOXA1 expression is a prognostic factor of invasive breast carcinoma that argues against the use of adjuvant chemotherapy in ER-positive/lymph-node-negative patients Artículo de revista
En: Analytical and Quantitative Cytopathology and Histopathology, vol. 38, no 4, pp. 205-211, 2016, (JCR(2015): 0.918 Q4 179/187 CELL BIOLOGY).
Improving a multi-objective evolutionary algorithm to discover quantitative association rules Artículo de revista
En: Knowledge and Information Systems, vol. 49, no 2, pp. 481-509, 2016, (JCR (2016): 2.004).
Improving models for environmental applications of LiDAR: novel approaches based on soft computing Artículo de revista
En: AI Communications, vol. 29, no 1, pp. 213-214, 2016, (JCR (2015): 0.364 Q4 126/130 Computer Science, Artificial Intelligence).
