Genetic Programming of Control Knowledge for Planning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (AIPS, 1998)

Evolving Heuristics for Planning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Evolutionary Programming, 1998)

Immediate Transfer of Global Improvements to All Individuals in a Population Compared to Automatically Defined Functions for the EVEN-5, 6-PARITY Problems. - Ricardo Aler (EuroGP, 1998)

Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (ICML, 1998)

Programación genética de heurísticas para planificación. - Ricardo Aler (1999)

Knowledge Representation Issues in Control Knowledge Learning. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (ICML, 2000)

Grammars for learning control knowledge with GP. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (CEC, 2001)

SHAMASH: An AI Tool for Modeling and Optimizing Business Processes. - David Camacho; Ricardo Aler; Daniel Borrajo; Almudena Sierra-Alonso (ICTAI, 2001)

Empirical Study of a Stacking State-Space. - Agapito Ledezma; Ricardo Aler; Daniel Borrajo (ICTAI, 2001)

Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. - Agapito Ledezma; Antonio Berlanga; Ricardo Aler (IWANN (1), 2001)

Abstract planning in dynamic environments. - David Camacho; Daniel Borrajo; José M. Molina 001; Ricardo Aler (SMC, 2001)

Experimentacion en Programacion Genetica Multinivel. - Ricardo Aler; Francisco Blázquez; David Camacho (Inteligencia Artif., 2001)

Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Evol. Comput., 2001)

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. - Inés María Galván; Pedro Isasi; Ricardo Aler; José María Valls (Int. J. Neural Syst., 2001)

On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. - Ricardo Aler; Daniel Borrajo (AIPS, 2002)

Solving Travel Problems by Integrating WEB Information with Planning. - David Camacho; José M. Molina 001; Daniel Borrajo; Ricardo Aler (ISMIS, 2002)

Predicting opponent actions in the RoboSoccer. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (SMC (2), 2002)

Using genetic programming to learn and improve control knowledge. - Ricardo Aler; Daniel Borrajo; Pedro Isasi (Artif. Intell., 2002)

Exploring the Stacking State-Space. - Agapito Ledezma; Ricardo Aler; Daniel Borrajo (Int. J. Artif. Intell. Tools, 2002)

A knowledge-based approach for business process reengineering, SHAMASH. - Ricardo Aler; Daniel Borrajo; David Camacho; Almudena Sierra-Alonso (Knowl. Based Syst., 2002)

Semi-Automatic Parsing for Web Knowledge Extraction. - David Camacho; Miguel A. López; Ricardo Aler (Applied Informatics, 2003)

From Continuous Behaviour to Discrete Knowledge. - Agapito Ledezma; Fernando Fernández 001; Ricardo Aler (IWANN (2), 2003)

Learning Content Sequencing in an Educational Environment According to Student Needs. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (ALT, 2004)

Using Previous Experience for Learning Planning Control Knowledge. - Susana Fernández; Ricardo Aler; Daniel Borrajo (FLAIRS, 2004)

Empirical Evaluation of Optimized Stacking Configurations. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (ICTAI, 2004)

Predicting Opponent Actions by Observation. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (RoboCup, 2004)

The Effects of Transfer of Global Improvements in Genetic Programming. - Ricardo Aler; David Camacho; Alfredo Moscardini (Comput. Artif. Intell., 2004)

Correcting and improving imitation models of humans for Robosoccer agents. - Ricardo Aler; Oscar Garcia; José María Valls (Congress on Evolutionary Computation, 2005)

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. - César Estébanez; José María Valls; Ricardo Aler; Inés María Galván (ICANN (1), 2005)

Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. - José María Valls; Ricardo Aler; Oscar Fernández (IWANN, 2005)

Genetic Programming Based Data Projections for Classification Tasks. - César Estébanez; Ricardo Aler; José María Valls (IEC (Prague), 2005)

Software and Performance Measures for Evaluating Multi-Agent Frameworks. - David Camacho; Ricardo Aler (Appl. Artif. Intell., 2005)

Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. - Susana Fernández; Ricardo Aler; Daniel Borrajo (Appl. Artif. Intell., 2005)

A Multi-Agent architecture for intelligent gathering systems. - David Camacho; Ricardo Aler; Daniel Borrajo; José M. Molina 001 (AI Commun., 2005)

Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. - César Estébanez; José María Valls; Ricardo Aler (EuroGP, 2006)

Multi-agent plan based information gathering. - David Camacho; Ricardo Aler; Daniel Borrajo; José M. Molina 001 (Appl. Intell., 2006)

Grammatical evolution guided by reinforcement. - Jack Mario Mingo; Ricardo Aler (IEEE Congress on Evolutionary Computation, 2007)

Transferring Learned Control-Knowledge between Planners. - Susana Fernández; Ricardo Aler; Daniel Borrajo (IJCAI, 2007)

Evolving Generalized Euclidean Distances for Training RBNN. - José María Valls; Ricardo Aler; Oscar Fernández (Comput. Artif. Intell., 2007)

A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. - César Estébanez; Ricardo Aler; José María Valls (Int. J. Comput. Sci. Appl., 2007)

Protein-protein functional association prediction using genetic programming. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (GECCO, 2008)

Metaheuristics for solving a real-world frequency assignment problem in GSM networks. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Enrique Alba 001; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Antonio J. Nebro; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (GECCO, 2008)

Genetic Programming for Predicting Protein Networks. - Beatriz García Jiménez; Ricardo Aler; Agapito Ledezma; Araceli Sanchis (IBERAMIA, 2008)

GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. - César Estébanez; José María Valls; Ricardo Aler (Appl. Intell., 2008)

Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. - Ricardo Aler; Inés María Galván; José María Valls (BIOSIGNALS, 2009)

Transition Detection for Brain Computer Interface Classification. - Ricardo Aler; Inés María Galván; José María Valls (BIOSTEC (Selected Papers), 2009)

An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. - César Estébanez; Ricardo Aler; José María Valls; Pablo Alonso 002 (EuroGP, 2009)

Optimizing Data Transformations for Classification Tasks. - José María Valls; Ricardo Aler (IDEAL, 2009)

Optimizing Linear and Quadratic Data Transformations for Classification Tasks. - José María Valls; Ricardo Aler (ISDA, 2009)

OMBO: An opponent modeling approach. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (AI Commun., 2009)

Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (Appl. Intell., 2009)

Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]. - Ricardo Aler; José María Valls; David Camacho; Alberto López (Expert Syst. Appl., 2009)

Programming Robosoccer agents by modeling human behavior. - Ricardo Aler; José María Valls; David Camacho; Alberto López (Expert Syst. Appl., 2009)

Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. - Ana Iglesias 001; Paloma Martínez; Ricardo Aler; Fernando Fernández 001 (Knowl. Based Syst., 2009)

Evolving spatial and frequency selection filters for Brain-Computer Interfaces. - Ricardo Aler; Inés María Galván; José María Valls (IEEE Congress on Evolutionary Computation, 2010)

Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. - Sandra García-Rodríguez; Ricardo Aler; Inés María Galván (ICANN (1), 2010)

GA-stacking: Evolutionary stacked generalization. - Agapito Ledezma; Ricardo Aler; Araceli Sanchis; Daniel Borrajo (Intell. Data Anal., 2010)

An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules. - Jack Mario Mingo; Ricardo Aler (IWINAC (1), 2011)

Knowledge Transfer between Automated Planners. - Susana Fernández; Ricardo Aler; Daniel Borrajo (AI Mag., 2011)

Optimization algorithms for large-scale real-world instances of the frequency assignment problem. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Antonio J. Nebro; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Enrique Alba 001; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (Soft Comput., 2011)

Evolving linear transformations with a rotation-angles/scaling representation. - Alejandro Echeverría; José María Valls; Ricardo Aler (Expert Syst. Appl., 2012)

Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. - Ricardo Aler; Inés María Galván; José María Valls (Inf. Sci., 2012)

Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. - Ricardo Aler; Julia Handl; Joshua D. Knowles (GECCO, 2013)

Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement. - Jack Mario Mingo; Ricardo Aler; Darío Maravall; Javier de Lope Asiaín (Comput. Informatics, 2013)

A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. - Ricardo Aler; Ricardo Martín; José María Valls; Inés María Galván (IDC, 2014)

Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach. - Ricardo Aler; Inés María Galván (Expert Syst. Appl., 2015)

Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. - R. Martin; Ricardo Aler; José María Valls; Inés María Galván (Concurr. Comput. Pract. Exp., 2016)

A competence-performance based model to develop a syntactic language for artificial agents. - Jack Mario Mingo; Ricardo Aler (Inf. Sci., 2016)

A Study on Feature Selection Methods for Wind Energy Prediction. - Rubén Martín-Vázquez; Ricardo Aler; Inés María Galván (IWANN (1), 2017)

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. - Inés María Galván; José María Valls; Alejandro Cervantes; Ricardo Aler (Inf. Sci., 2017)

Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. - Javier Huertas-Tato; Ricardo Aler; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Inés María Galván (HAIS, 2018)

Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. - Rubén Martín-Vázquez; Javier Huertas-Tato; Ricardo Aler; Inés María Galván (IDEAL (2), 2018)

Wind Energy Forecasting at Different Time Horizons with Individual and Global Models. - Rubén Martín-Vázquez; Ricardo Aler; Inés María Galván (AIAI, 2018)

A filter attribute selection method based on local reliable information. - Ricardo Martín; Ricardo Aler; Inés María Galván (Appl. Intell., 2018)

Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution. - Jack Mario Mingo; Ricardo Aler (Genet. Program. Evolvable Mach., 2018)

Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. - Ricardo Aler; José María Valls; Henrik Boström (Expert Syst. Appl., 2020)

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. - Inés María Galván; Javier Huertas-Tato; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Ricardo Aler (Appl. Soft Comput., 2021)

Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. - José María Valls; Ricardo Aler; Inés María Galván; David Camacho (J. Ambient Intell. Humaniz. Comput., 2021)

Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Eng. Appl. Artif. Intell., 2022)

Using a Multi-view Convolutional Neural Network to monitor solar irradiance. - Javier Huertas-Tato; Inés María Galván; Ricardo Aler; Francisco J. Rodríguez-Benítez; David Pozo-Vázquez (Neural Comput. Appl., 2022)

Pareto Optimal Prediction Intervals with Hypernetworks. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Appl. Soft Comput., 2023)

Deep neural networks for the quantile estimation of regional renewable energy production. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Appl. Intell., 2023)

Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. - Miguel López-Cuesta; Ricardo Aler; Inés María Galván; Francisco J. Rodríguez-Benítez; David Pozo-Vázquez (Remote. Sens., 2023)

A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. - Esteban García-Cuesta; Ricardo Aler; David Pozo-Vázquez; Inés María Galván (Appl. Intell., 2023)

Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study. - Eric Freire-Álvarez; Inés Legarda Ramírez; Rocio García-Ramos; Fátima Carrillo; Diego Santos-García; Juan Carlos Gómez-Esteban; Juan Carlos Martínez-Castrillo; Irene Martínez-Torres; Carlos J. Madrid-Navarro; María José Pérez-Navarro; Fuensanta Valero-García; Bárbara Vives-Pastor; et al. (Comput. Biol. Medicine, 2025)