Artículo | 2024 |
A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models
|
Logic Journal of the IGPL |
Editorial | 2024 |
Emerging trends in big data analytics and natural disasters
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COMPUTERS & GEOSCIENCES |
Artículo | 2023 |
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
|
INFORMATION FUSION |
Artículo | 2023 |
Identifying novelties and anomalies for incremental learning in streaming time series forecasting
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE |
Artículo | 2023 |
PDSS: a pharmacological decision support system for diabetics patients with COVID-19
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Studies in Health Technology and Informatics |
Artículo | 2022 |
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
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NEUROCOMPUTING |
Ponencia | 2022 |
An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting
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16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) |
Artículo | 2022 |
Generation of synthetic data with conditional generative adversarial networks
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Logic Journal of the IGPL |
Resumen congreso | 2022 |
Introducing joint modeling techniques for personalized predictions in celiac disease
|
GASTROENTEROLOGY |
Artículo | 2022 |
MOMIC: A multi-omics pipeline for data analysis, integration and interpretation
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APPLIED SCIENCES-BASEL |
Ponencia | 2022 |
Nearest neighbors with incremental learning for real-time forecasting of electricity demand
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IEEE International Conference on Data Mining Workshops, ICDMW |
Artículo | 2022 |
Sa1267: INTRODUCING JOINT MODELING TECHNIQUES FOR PERSONALIZED PREDICTIONS IN CELIAC DISEASE
|
GASTROENTEROLOGY |
Artículo | 2021 |
A data mining based clinical decision support system for survival in lung cancer
|
REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY |
Ponencia | 2021 |
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020 |
Artículo | 2021 |
Discovering spatio-temporal patterns in precision agriculture based on triclustering
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Advances in Intelligent Systems and Computing |
Artículo | 2021 |
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
|
INFORMATION SCIENCES |
Artículo | 2021 |
Generating a seismogenic source zone model for the Pyrenees: a GIS-assisted triclustering approach
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COMPUTERS & GEOSCIENCES |
Ponencia | 2021 |
Nearest neighbors-based forecasting for electricity demand time series in streaming
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Advances in Artificial Intelligence: 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22–24, 2021, Proceedings |
Artículo | 2021 |
OCEAn: ordinal classification with an ensemble approach
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INFORMATION SCIENCES |
Artículo | 2021 |
Rationale for timing of follow-up visits to assess gluten-free diet in celiac disease patients based on data mining
|
NUTRIENTS |
Artículo | 2021 |
Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the Spanish electricity market
|
APPLIED SCIENCES-BASEL |
Artículo | 2020 |
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model
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BIG DATA |
Ponencia | 2020 |
Creation of synthetic data with conditional generative adversarial networks
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14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019) |
Artículo | 2020 |
Deep learning techniques to improve the performance of olive oil classification
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FRONTIERS IN CHEMISTRY |
Ponencia | 2020 |
High-content screening images streaming analysis using the STriGen methodology
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Proceedings of the ACM Symposium on Applied Computing |
Ponencia | 2020 |
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills
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Advances in Intelligent Systems and Computing |
Artículo | 2020 |
Using prior knowledge in the inference of gene association networks
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Applied Intelligence |
Capítulo | 2019 |
Convolutional neural networks for olive oil classification
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FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II |
Ponencia | 2019 |
Convolutional neural networks for olive oil classification
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FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II |
Ponencia | 2019 |
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses
|
INTERNATIONAL JOINT CONFERENCE SOCO'18-CISIS'18- ICEUTE'18 |
Artículo | 2018 |
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs
|
COMPUTERS & GEOSCIENCES |
Capítulo | 2018 |
Detección de cáncer de piel usando técnicas de aprendizaje profundo
|
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España |
Póster | 2018 |
PO-0859: Project S32: decision support system for lung cancer patients
|
RADIOTHERAPY AND ONCOLOGY |
Resumen congreso | 2018 |
Project S32: decision support system for lung cancer patients
|
RADIOTHERAPY AND ONCOLOGY |
Artículo | 2018 |
TRIQ: a new method to evaluate triclusters
|
BIODATA MINING |
Artículo | 2017 |
Analysis of the Influence of Starting Materials and Processing Conditions on the Properties of W/Cu Alloys
|
MATERIALS |
Artículo | 2017 |
Analysis of the Microstructure and Mechanical Properties of Titanium-Based Composites Reinforced by Secondary Phases and B4C Particles Produced via Direct Hot Pressing
|
MATERIALS |
Artículo | 2017 |
Data mining techniques applied to hydrogen lactose breath test
|
PLOS ONE |
Artículo | 2016 |
Influence of Sintering Temperature on the Microstructure and Mechanical Properties of In Situ Reinforced Titanium Composites by Inductive Hot Pressing
|
MATERIALS |
Ponencia | 2016 |
TRIQ: A comprehensive evaluation measure for triclustering algorithms
|
Lecture Notes in Computer Science |
Artículo | 2015 |
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula
|
ENTROPY |
Artículo | 2015 |
MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data
|
EVOLUTIONARY BIOINFORMATICS |
Ponencia | 2014 |
LSL: A new measure to evaluate triclusters
|
Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 |
Artículo | 2014 |
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure
|
SCIENTIFIC WORLD JOURNAL |
Artículo | 2014 |
PO-0723: Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy
|
RADIOTHERAPY AND ONCOLOGY |
Artículo | 2014 |
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data
|
NEUROCOMPUTING |
Artículo | 2013 |
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
|
KNOWLEDGE-BASED SYSTEMS |
Artículo | 2012 |
Fusion of knowledge towards the identification of genetic profiles
|
AI COMMUNICATIONS |
Ponencia | 2011 |
Mining Quantitative Association Rules In Microarray Data Using Evolutive Algorithms
|
ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1 |
Ponencia | 2011 |
On the use of algorithms to discover motifs in DNA sequences
|
International Conference on Intelligent Systems Design and Applications |
Ponencia | 2011 |
Revisiting the yeast cell cycle problem with the improved TriGen algorithm
|
Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011 |
Ponencia | 2011 |
Triclustering on temporary microarray data using the TriGen algorithm
|
International Conference on Intelligent Systems Design and Applications |
Ponencia | 2011 |
Unravelling the yeast cell cycle using the TriGen algorithm
|
ADVANCES IN ARTIFICIAL INTELLIGENCE |
Capítulo | 2011 |
Unravelling the Yeast Cell CycleUsing the TriGen Algorithm
|
ADVANCES IN ARTIFICIAL INTELLIGENCE |
Artículo | 2010 |
Optimization of multi-classifiers for computational biology: application to gene finding and expression
|
THEORETICAL CHEMISTRY ACCOUNTS |
Artículo | 2010 |
Pattern recognition to forecast seismic time series
|
EXPERT SYSTEMS WITH APPLICATIONS |
Artículo | 2008 |
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database
|
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION |
Ponencia | 2008 |
Classification of gene expression profiles: comparison of K-means and expectation maximization algorithms
|
Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008 |
Artículo | 2008 |
Learning robust dynamic networks in prokaryotes by gene expression networks iterative explorer (GENIE)
|
Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) |
Libro | 2007 |
Fusion of knowledge towards the identification of genetic profiles in the systemic inflammation problem
|
Fusion of knowledge towards the identification of genetic profiles in the systemic inflammation problem |
Ponencia | 2007 |
Identifying the promoter features governing differential kinetics of co-regulated genes using fuzzy expressions
|
IEEE International Conference on Fuzzy Systems |
Capítulo | 2007 |
Microarray data mining approach to the study of Solanum wild species under water stress: integration of gene expression data and GO condepts
|
I Workshop Español sobre Extracción y Validación de Conocimiento en Bases de Datos Biomédicas: EVaBio 2007 : celebrado en Salamanca, del 12 al 16 de noviembre de 2007, dentro de la XII Conferencia de la Asociación Española para la Inteligencia Artificial |
Ponencia | 2007 |
Modeling genetic networks: Comparison of static and dynamic models
|
Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07 |
Ponencia | 2007 |
satDNA analyzer 1.2 as a valuable computing tool for evolutionary analysis of satellite-DNA families: Revisiting Y-linked satellite-DNA sequences of Rumex (Polygonaceae)
|
Lecture Notes in Computer Science |
Ponencia | 2007 |
Targeting differentially co-regulated genes by multiobjective and multimodal optimization
|
Lecture Notes in Computer Science |
Ponencia | 2006 |
Decision making association rules for recognition of differential gene expression profiles
|
Lecture Notes in Computer Science |
Ponencia | 2006 |
Fusion of domain knowledge for dynamic learning in transcriptional networks
|
Lecture Notes in Computer Science |
Ponencia | 2006 |
Mining structural databases: An Evolutionary Multi-Objetive Conceptual Clustering methodology
|
Lecture Notes in Computer Science |
Ponencia | 2006 |
Optimal selection of microarray analysis methods using a conceptual clustering algorithm
|
Lecture Notes in Computer Science |