sample of publications

• articles 

  • Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques.  Remote Sensing.  15:2328. 2023
  • Pareto optimal prediction intervals with hypernetworks.  APPLIED SOFT COMPUTING.  133:1-14. 2023
  • A combination of supervised dimensionality reduction and learning methods to forecast solar radiation.  APPLIED INTELLIGENCE.  53:13053-13066. 2022
  • Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks.  ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.  114. 2022
  • Deep neural networks for the quantile estimation of regional renewable energy production.  APPLIED INTELLIGENCE.  53:8318-8353. 2022
  • Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.  APPLIED SOFT COMPUTING.  109:1-13. 2021
  • Using a Multi-view Convolutional Neural Network to monitor solar irradiance.  NEURAL COMPUTING & APPLICATIONS.  1-13. 2021
  • Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems.  Journal of Ambient Intelligence and Humanized Computing.  12:10515-10527. 2021
  • Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets.  EXPERT SYSTEMS WITH APPLICATIONS.  149:1-44. 2020
  • A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment.  Solar Energy.  195:396-412. 2020
  • A short-term solar radiation forecasting system for the Iberian Peninsula. Part 2: Model blending approaches based on machine learning.  Solar Energy.  195:685-696. 2020
  • Improving prediction intervals using measured solar power with a multi-objective approach.  Energies.  12:4713. 2019
  • Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution.  Genetic Programming and Evolvable Machines.  19:235-270. 2018
  • A filter attribute selection method based on local reliable information.  APPLIED INTELLIGENCE.  48:35-45. 2018
  • Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.  INFORMATION SCIENCES.  418:363-382. 2017
  • Automatic Cloud-Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer.  JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES.  122:11,045-11,061. 2017
  • Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting.  Solar Energy.  150:558-569. 2017
  • A competence-performance based model to develop a syntactic language for artificial agents.  INFORMATION SCIENCES.  373:79-94. 2016
  • Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models.  CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE.  28:1261-1274. 2016
  • Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach.  EXPERT SYSTEMS WITH APPLICATIONS.  42:6215-6223. 2015
  • Investigations into Lamarckism; Baldwinism and local search in grammatical evolution guided by reinforcement.  COMPUTING AND INFORMATICS.  32:595-627. 2013
  • Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces.  INFORMATION SCIENCES.  215:53-56. 2012
  • Multi-objective metaheuristics for preprocessing EEG data in brain-computer interfaces.  ENGINEERING OPTIMIZATION.  44:373-390. 2012
  • Optimization algorithms for large-scale real-world instances of the frequency assignment problem.  SOFT COMPUTING.  15:975-990. 2011
  • Knowledge Transfer between Automated Planners.  AI MAGAZINE.  32:79-94. 2011
  • Evolving linear transformations with a rotation-angles/scaling representation.  EXPERT SYSTEMS WITH APPLICATIONS.  39:3276-3282. 2011
  • GA-Stacking: Evolutionary Stacked Generalization.  Intelligent Data Analysis.  14:89-119. 2010
  • Learning Teaching Strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning.  APPLIED INTELLIGENCE.  31:89-106. 2009
  • OMBO: An opponent Modeling Approach.  AI COMMUNICATIONS.  22:21-35. 2009
  • Reinforcement Learning of Pedagogical Policies in Adaptive and Intelligent Educational Systems.  KNOWLEDGE-BASED SYSTEMS.  22:266-270. 2009
  • Programming Robosoccer Agents by Modeling Human Behavior.  EXPERT SYSTEMS WITH APPLICATIONS.  36:1850-1859. 2009
  • GPPE: A Method to Generate Ad-Hoc Feature Extractors for Prediction in Financial Domains.  APPLIED INTELLIGENCE.  29:174-185. 2008
  • Generating Automatic Projections by Means of Genetic Programming.  APPLIED INTELLIGENCE.  29:174-185. 2008

• book chapters 

  • Transition Detection for Brain Computer Interface Classification. In: Biomedical Engineering Systems and Technologies: International Joint Conference, BIOSTEC 2009 Porto, Portugal, January 14-17, 2009, Revised Selected Papers.  SPRINGER. 200-210. 2010
  • Generating Automatic Projections by Means of Genetic Programming. In: Optimization Techniques for Solving Complex Problems.  JOHN WILEY AND SONS LTD. 3-14. 2009
  • Generating Automatic Projections by Means of Genetic Programming. In: Optimization Techniques for Solving Complex Problems.  John Willey & Sons, Ltd.. 3-14. 2008

• conference contributions 

  • Predicting Global Irradiance Combining Forecasting Models Through Machine Learning.  622-633. 2018
  • Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals.  155-162. 2018
  • Wind Energy Forecasting at Different Time Horizons with Individual and Global Models.  240-248. 2018
  • A Study of Machine Learning Techniques for Daily Solar Energy Forecasting using Numerical Weather Models.  269-278. 2015
  • Interpolación espacial para la predicción de la radiación solar mediante gradient tree boosting 2015
  • Comparing Multi-objective and Threshold-moving ROC Curve Generation for a Prototype-based Classifier.  1029-1036. 2013
  • Genetic Programming for Predicting Protein Networks.  432-441. 2008
  • Hybridization of Clustering and Local Search for the Frequency Assignment Problem 2008
  • Metaheuristics for Solving a Real-World Frequency Assignment Problem in GSM Networks.  1579-1586. 2008
  • Protein-Protein Functional Association Prediction Using Genetic Programming 2008