Ricardo Aler

Orcid: 0000-0002-7472-4840

According to our database1, Ricardo Aler authored at least 84 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation.
Appl. Intell., June, 2023

Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques.
Remote. Sens., May, 2023

Deep neural networks for the quantile estimation of regional renewable energy production.
Appl. Intell., April, 2023

Pareto Optimal Prediction Intervals with Hypernetworks.
Appl. Soft Comput., January, 2023

2022
Using a Multi-view Convolutional Neural Network to monitor solar irradiance.
Neural Comput. Appl., 2022

Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks.
Eng. Appl. Artif. Intell., 2022

2021
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems.
J. Ambient Intell. Humaniz. Comput., 2021

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.
Appl. Soft Comput., 2021

2020
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets.
Expert Syst. Appl., 2020

2018
Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution.
Genet. Program. Evolvable Mach., 2018

A filter attribute selection method based on local reliable information.
Appl. Intell., 2018

Wind Energy Forecasting at Different Time Horizons with Individual and Global Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Predicting Global Irradiance Combining Forecasting Models Through Machine Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.
Inf. Sci., 2017

A Study on Feature Selection Methods for Wind Energy Prediction.
Proceedings of the Advances in Computational Intelligence, 2017

2016
A competence-performance based model to develop a syntactic language for artificial agents.
Inf. Sci., 2016

Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models.
Concurr. Comput. Pract. Exp., 2016

2015
Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach.
Expert Syst. Appl., 2015

2014
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models.
Proceedings of the Intelligent Distributed Computing VIII, 2014

2013
Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement.
Comput. Informatics, 2013

Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces.
Inf. Sci., 2012

Evolving linear transformations with a rotation-angles/scaling representation.
Expert Syst. Appl., 2012

2011
Optimization algorithms for large-scale real-world instances of the frequency assignment problem.
Soft Comput., 2011

Knowledge Transfer between Automated Planners.
AI Mag., 2011

An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules.
Proceedings of the Foundations on Natural and Artificial Computation, 2011

2010
GA-stacking: Evolutionary stacked generalization.
Intell. Data Anal., 2010

Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Evolving spatial and frequency selection filters for Brain-Computer Interfaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems.
Knowl. Based Syst., 2009

Programming Robosoccer agents by modeling human behavior.
Expert Syst. Appl., 2009

Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859].
Expert Syst. Appl., 2009

Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning.
Appl. Intell., 2009

OMBO: An opponent modeling approach.
AI Commun., 2009

Optimizing Linear and Quadratic Data Transformations for Classification Tasks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Optimizing Data Transformations for Classification Tasks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Transition Detection for Brain Computer Interface Classification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2009

Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window.
Proceedings of the BIOSIGNALS 2009, 2009

2008
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains.
Appl. Intell., 2008

Genetic Programming for Predicting Protein Networks.
Proceedings of the Advances in Artificial Intelligence, 2008

Metaheuristics for solving a real-world frequency assignment problem in GSM networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Protein-protein functional association prediction using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems.
Int. J. Comput. Sci. Appl., 2007

Evolving Generalized Euclidean Distances for Training RBNN.
Comput. Artif. Intell., 2007

Transferring Learned Control-Knowledge between Planners.
Proceedings of the IJCAI 2007, 2007

Grammatical evolution guided by reinforcement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Multi-agent plan based information gathering.
Appl. Intell., 2006

Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks.
Proceedings of the Genetic Programming, 9th European Conference, 2006

2005
A Multi-Agent architecture for intelligent gathering systems.
AI Commun., 2005

Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains.
Appl. Artif. Intell., 2005

Software and Performance Measures for Evaluating Multi-Agent Frameworks.
Appl. Artif. Intell., 2005

Genetic Programming Based Data Projections for Classification Tasks.
Proceedings of the International Enformatika Conference, 2005

Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Correcting and improving imitation models of humans for Robosoccer agents.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
The Effects of Transfer of Global Improvements in Genetic Programming.
Comput. Artif. Intell., 2004

Predicting Opponent Actions by Observation.
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

Empirical Evaluation of Optimized Stacking Configurations.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Using Previous Experience for Learning Planning Control Knowledge.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Learning Content Sequencing in an Educational Environment According to Student Needs.
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003
From Continuous Behaviour to Discrete Knowledge.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Semi-Automatic Parsing for Web Knowledge Extraction.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002
A knowledge-based approach for business process reengineering, SHAMASH.
Knowl. Based Syst., 2002

Exploring the Stacking State-Space.
Int. J. Artif. Intell. Tools, 2002

Using genetic programming to learn and improve control knowledge.
Artif. Intell., 2002

Predicting opponent actions in the RoboSoccer.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Yasmine Hammamet, Tunisia, October 6-9, 2002, 2002

Solving Travel Problems by Integrating WEB Information with Planning.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

On Control Knowledge Acquisition by Exploiting Human-Computer Interaction.
Proceedings of the Sixth International Conference on Artificial Intelligence Planning Systems, 2002

2001
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.
Int. J. Neural Syst., 2001

Learning to Solve Planning Problems Efficiently by Means of Genetic Programming.
Evol. Comput., 2001

Experimentacion en Programacion Genetica Multinivel.
Inteligencia Artif., 2001

Abstract planning in dynamic environments.
Proceedings of the IEEE International Conference on Systems, 2001

Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills.
Proceedings of the Connectionist Models of Neurons, 2001

Empirical Study of a Stacking State-Space.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

SHAMASH: An AI Tool for Modeling and Optimizing Business Processes.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

Grammars for learning control knowledge with GP.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Knowledge Representation Issues in Control Knowledge Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Programación genética de heurísticas para planificación.
PhD thesis, 1999

1998
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Immediate Transfer of Global Improvements to All Individuals in a Population Compared to Automatically Defined Functions for the EVEN-5, 6-PARITY Problems.
Proceedings of the Genetic Programming, First European Workshop, 1998

Evolving Heuristics for Planning.
Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Genetic Programming of Control Knowledge for Planning.
Proceedings of the Fourth International Conference on Artificial Intelligence Planning Systems, 1998


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