Ricardo Aler

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 18

Top Topics

Machine Learning

Prediction Intervals

Top Venues

Expert Syst. Appl.

Appl. Soft Comput.

Publications

Antonio Alcántara, Inés María Galván, Ricardo Aler
Pareto Optimal Prediction Intervals with Hypernetworks. Appl. Soft Comput. 133 (2023)
Miguel López-Cuesta, Ricardo Aler, Inés María Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. Remote. Sens. 15 (9) (2023)
Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. 53 (11) (2023)
Antonio Alcántara, Inés María Galván, Ricardo Aler
Deep neural networks for the quantile estimation of regional renewable energy production. Appl. Intell. 53 (7) (2023)
Antonio Alcántara, Inés María Galván, Ricardo Aler
Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks. Eng. Appl. Artif. Intell. 114 (2022)
Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. 34 (13) (2022)
José María Valls, Ricardo Aler, Inés María Galván, David Camacho
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. J. Ambient Intell. Humaniz. Comput. 12 (12) (2021)
Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. 109 (2021)
Ricardo Aler, José María Valls, Henrik Boström
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. Expert Syst. Appl. 149 (2020)
Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván
Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS (2018)
Jack Mario Mingo, Ricardo Aler
Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván
Wind Energy Forecasting at Different Time Horizons with Individual and Global Models. AIAI (2018)
Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler, Inés María Galván
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. IDEAL (2) (2018)
Ricardo Martín, Ricardo Aler, Inés María Galván
A filter attribute selection method based on local reliable information. Appl. Intell. 48 (1) (2018)
Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. 418 (2017)
Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván
A Study on Feature Selection Methods for Wind Energy Prediction. IWANN (1) (2017)
Jack Mario Mingo, Ricardo Aler
A competence-performance based model to develop a syntactic language for artificial agents. Inf. Sci. 373 (2016)
R. Martin, Ricardo Aler, José María Valls, Inés María Galván
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Concurr. Comput. Pract. Exp. 28 (4) (2016)
Ricardo Aler, Inés María Galván
Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach. Expert Syst. Appl. 42 (15-16) (2015)
Ricardo Aler, Ricardo Martín, José María Valls, Inés María Galván
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. IDC (2014)
Jack Mario Mingo, Ricardo Aler, Darío Maravall, Javier de Lope Asiaín
Investigations into Lamarckism, Baldwinism and Local Search in Grammatical Evolution Guided by Reinforcement. Comput. Informatics 32 (3) (2013)
Ricardo Aler, Julia Handl, Joshua D. Knowles
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO (2013)
Alejandro Echeverría, José María Valls, Ricardo Aler
Evolving linear transformations with a rotation-angles/scaling representation. Expert Syst. Appl. 39 (3) (2012)
Ricardo Aler, Inés María Galván, José María Valls
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. Inf. Sci. 215 (2012)
Jack Mario Mingo, Ricardo Aler
An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules. IWINAC (1) (2011)
Susana Fernández, Ricardo Aler, Daniel Borrajo
Knowledge Transfer between Automated Planners. AI Mag. 32 (2) (2011)
Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Antonio J. Nebro, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Enrique Alba, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido
Optimization algorithms for large-scale real-world instances of the frequency assignment problem. Soft Comput. 15 (5) (2011)
Sandra García-Rodríguez, Ricardo Aler, Inés María Galván
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. ICANN (1) (2010)
Ricardo Aler, Inés María Galván, José María Valls
Evolving spatial and frequency selection filters for Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2010)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. 14 (1) (2010)
Ricardo Aler, Inés María Galván, José María Valls
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS (2009)
Ricardo Aler, José María Valls, David Camacho, Alberto López
Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36 (2) (2009)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. Appl. Intell. 31 (1) (2009)
José María Valls, Ricardo Aler
Optimizing Data Transformations for Classification Tasks. IDEAL (2009)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
OMBO: An opponent modeling approach. AI Commun. 22 (1) (2009)
Ricardo Aler, José María Valls, David Camacho, Alberto López
Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]. Expert Syst. Appl. 36 (9) (2009)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. Knowl. Based Syst. 22 (4) (2009)
César Estébanez, Ricardo Aler, José María Valls, Pablo Alonso
An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. EuroGP (2009)
Ricardo Aler, Inés María Galván, José María Valls
Transition Detection for Brain Computer Interface Classification. BIOSTEC (Selected Papers) (2009)
José María Valls, Ricardo Aler
Optimizing Linear and Quadratic Data Transformations for Classification Tasks. ISDA (2009)
Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
Genetic Programming for Predicting Protein Networks. IBERAMIA (2008)
César Estébanez, José María Valls, Ricardo Aler
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. Appl. Intell. 29 (2) (2008)
Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Antonio J. Nebro, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido
Metaheuristics for solving a real-world frequency assignment problem in GSM networks. GECCO (2008)
Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis
Protein-protein functional association prediction using genetic programming. GECCO (2008)
Jack Mario Mingo, Ricardo Aler
Grammatical evolution guided by reinforcement. IEEE Congress on Evolutionary Computation (2007)
José María Valls, Ricardo Aler, Oscar Fernández
Evolving Generalized Euclidean Distances for Training RBNN. Comput. Artif. Intell. 26 (1) (2007)
César Estébanez, Ricardo Aler, José María Valls
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. Int. J. Comput. Sci. Appl. 4 (1) (2007)
Susana Fernández, Ricardo Aler, Daniel Borrajo
Transferring Learned Control-Knowledge between Planners. IJCAI (2007)
David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina
Multi-agent plan based information gathering. Appl. Intell. 25 (1) (2006)
César Estébanez, José María Valls, Ricardo Aler
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP (2006)
César Estébanez, Ricardo Aler, José María Valls
Genetic Programming Based Data Projections for Classification Tasks. IEC (Prague) (2005)
David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina
A Multi-Agent architecture for intelligent gathering systems. AI Commun. 18 (1) (2005)
David Camacho, Ricardo Aler
Software and Performance Measures for Evaluating Multi-Agent Frameworks. Appl. Artif. Intell. 19 (6) (2005)
Ricardo Aler, Oscar Garcia, José María Valls
Correcting and improving imitation models of humans for Robosoccer agents. Congress on Evolutionary Computation (2005)
José María Valls, Ricardo Aler, Oscar Fernández
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN (2005)
Susana Fernández, Ricardo Aler, Daniel Borrajo
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. Appl. Artif. Intell. 19 (8) (2005)
César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) (2005)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Predicting Opponent Actions by Observation. RoboCup (2004)
Susana Fernández, Ricardo Aler, Daniel Borrajo
Using Previous Experience for Learning Planning Control Knowledge. FLAIRS Conference (2004)
Ricardo Aler, David Camacho, Alfredo Moscardini
The Effects of Transfer of Global Improvements in Genetic Programming. Comput. Artif. Intell. 23 (4) (2004)
Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
Learning Content Sequencing in an Educational Environment According to Student Needs. ALT (2004)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Empirical Evaluation of Optimized Stacking Configurations. ICTAI (2004)
David Camacho, Miguel A. López, Ricardo Aler
Semi-Automatic Parsing for Web Knowledge Extraction. Applied Informatics (2003)
Agapito Ledezma, Fernando Fernández, Ricardo Aler
From Continuous Behaviour to Discrete Knowledge. IWANN (2) (2003)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Using genetic programming to learn and improve control knowledge. Artif. Intell. 141 (1/2) (2002)
Ricardo Aler, Daniel Borrajo, David Camacho, Almudena Sierra-Alonso
A knowledge-based approach for business process reengineering, SHAMASH. Knowl. Based Syst. 15 (8) (2002)
Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Predicting opponent actions in the RoboSoccer. SMC (2) (2002)
Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Exploring the Stacking State-Space. Int. J. Artif. Intell. Tools 11 (2) (2002)
David Camacho, José M. Molina, Daniel Borrajo, Ricardo Aler
Solving Travel Problems by Integrating WEB Information with Planning. ISMIS (2002)
Ricardo Aler, Daniel Borrajo
On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. AIPS (2002)
David Camacho, Daniel Borrajo, José M. Molina, Ricardo Aler
Abstract planning in dynamic environments. SMC (2001)
Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Empirical Study of a Stacking State-Space. ICTAI (2001)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evol. Comput. 9 (4) (2001)
Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. Int. J. Neural Syst. 11 (2) (2001)
David Camacho, Ricardo Aler, Daniel Borrajo, Almudena Sierra-Alonso
SHAMASH: An AI Tool for Modeling and Optimizing Business Processes. ICTAI (2001)
Ricardo Aler, Francisco Blázquez, David Camacho
Experimentacion en Programacion Genetica Multinivel. Inteligencia Artif. 5 (13) (2001)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Grammars for learning control knowledge with GP. CEC (2001)
Agapito Ledezma, Antonio Berlanga, Ricardo Aler
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) (2001)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Knowledge Representation Issues in Control Knowledge Learning. ICML (2000)
Ricardo Aler
Immediate Transfer of Global Improvements to All Individuals in a Population Compared to Automatically Defined Functions for the EVEN-5, 6-PARITY Problems. EuroGP (1998)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Genetic Programming of Control Knowledge for Planning. AIPS (1998)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML (1998)
Ricardo Aler, Daniel Borrajo, Pedro Isasi
Evolving Heuristics for Planning. Evolutionary Programming (1998)