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Ricardo Aler
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2020 – today
- 2023
- [j40]Antonio Alcántara
, Inés María Galván
Deep neural networks for the quantile estimation of regional renewable energy production. Appl. Intell. 53(7): 8318-8353 (2023) - [j39]Esteban García-Cuesta
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. 53(11): 13053-13066 (2023) - [j38]Antonio Alcántara, Inés María Galván
Pareto Optimal Prediction Intervals with Hypernetworks. Appl. Soft Comput. 133: 109930 (2023) - [j37]Miguel López-Cuesta, Ricardo Aler
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): 2328 (2023) - 2022
- [j36]Antonio Alcántara, Inés María Galván
Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks. Eng. Appl. Artif. Intell. 114: 105128 (2022) - [j35]Javier Huertas-Tato
Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. 34(13): 10295-10307 (2022) - 2021
- [j34]Inés María Galván
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. 109: 107531 (2021) - [j33]José María Valls
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. J. Ambient Intell. Humaniz. Comput. 12(12): 10515-10527 (2021) - 2020
- [j32]Ricardo Aler
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. Expert Syst. Appl. 149: 113264 (2020)
2010 – 2019
- 2018
- [j31]Ricardo Martín
A filter attribute selection method based on local reliable information. Appl. Intell. 48(1): 35-45 (2018) - [j30]Jack Mario Mingo, Ricardo Aler
Evolution of shared grammars for describing simulated spatial scenes with grammatical evolution. Genet. Program. Evolvable Mach. 19(1-2): 235-270 (2018) - [c43]Javier Huertas-Tato
Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS 2018: 622-633 - [c42]Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. IDEAL (2) 2018: 155-162 - [c41]Rubén Martín-Vázquez, Ricardo Aler
Wind Energy Forecasting at Different Time Horizons with Individual and Global Models. AIAI 2018: 240-248 - 2017
- [j29]Inés María Galván
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. 418: 363-382 (2017) - [c40]Rubén Martín-Vázquez, Ricardo Aler
A Study on Feature Selection Methods for Wind Energy Prediction. IWANN (1) 2017: 698-707 - 2016
- [j28]R. Martin, Ricardo Aler
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Concurr. Comput. Pract. Exp. 28(4): 1261-1274 (2016) - [j27]Jack Mario Mingo, Ricardo Aler
A competence-performance based model to develop a syntactic language for artificial agents. Inf. Sci. 373: 79-94 (2016) - 2015
- [j26]Ricardo Aler
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): 6215-6223 (2015) - 2014
- [c39]Ricardo Aler
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. IDC 2014: 269-278 - 2013
- [j25]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): 595-627 (2013) - [c38]Ricardo Aler
Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. GECCO 2013: 1029-1036 - 2012
- [j24]Alejandro Echeverría, José María Valls
Evolving linear transformations with a rotation-angles/scaling representation. Expert Syst. Appl. 39(3): 3276-3282 (2012) - [j23]Ricardo Aler
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. Inf. Sci. 215: 53-66 (2012) - 2011
- [j22]Susana Fernández, Ricardo Aler, Daniel Borrajo
Knowledge Transfer between Automated Planners. AI Mag. 32(2): 79-94 (2011) - [j21]Francisco Luna
Optimization algorithms for large-scale real-world instances of the frequency assignment problem. Soft Comput. 15(5): 975-990 (2011) - [c37]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: 40-49 - 2010
- [j20]Agapito Ledezma
GA-stacking: Evolutionary stacked generalization. Intell. Data Anal. 14(1): 89-119 (2010) - [c36]Ricardo Aler
Evolving spatial and frequency selection filters for Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c35]Sandra García-Rodríguez, Ricardo Aler
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. ICANN (1) 2010: 422-427
2000 – 2009
- 2009
- [j19]Agapito Ledezma
OMBO: An opponent modeling approach. AI Commun. 22(1): 21-35 (2009) - [j18]Ana Iglesias
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. Appl. Intell. 31(1): 89-106 (2009) - [j17]Ricardo Aler
Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36(2): 1850-1859 (2009) - [j16]Ricardo Aler
Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]. Expert Syst. Appl. 36(9): 11992 (2009) - [j15]Ana Iglesias
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. Knowl. Based Syst. 22(4): 266-270 (2009) - [c34]Ricardo Aler, Inés María Galván, José María Valls:
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS 2009: 65-71 - [c33]Ricardo Aler
Transition Detection for Brain Computer Interface Classification. BIOSTEC (Selected Papers) 2009: 200-210 - [c32]César Estébanez, Ricardo Aler
An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. EuroGP 2009: 244-255 - [c31]José María Valls
Optimizing Data Transformations for Classification Tasks. IDEAL 2009: 176-183 - [c30]José María Valls
Optimizing Linear and Quadratic Data Transformations for Classification Tasks. ISDA 2009: 1025-1030 - 2008
- [j14]César Estébanez, José María Valls
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. Appl. Intell. 29(2): 174-185 (2008) - [c29]Beatriz García Jiménez
Protein-protein functional association prediction using genetic programming. GECCO 2008: 347-348 - [c28]Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura
Metaheuristics for solving a real-world frequency assignment problem in GSM networks. GECCO 2008: 1579-1586 - [c27]Beatriz García Jiménez
Genetic Programming for Predicting Protein Networks. IBERAMIA 2008: 432-441 - 2007
- [j13]José María Valls, Ricardo Aler, Oscar Fernández:
Evolving Generalized Euclidean Distances for Training RBNN. Comput. Artif. Intell. 26(1): 33-43 (2007) - [j12]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): 69-80 (2007) - [c26]Jack Mario Mingo
Grammatical evolution guided by reinforcement. IEEE Congress on Evolutionary Computation 2007: 1475-1482 - [c25]Susana Fernández, Ricardo Aler, Daniel Borrajo:
Transferring Learned Control-Knowledge between Planners. IJCAI 2007: 1885-1890 - 2006
- [j11]David Camacho
Multi-agent plan based information gathering. Appl. Intell. 25(1): 59-71 (2006) - [c24]César Estébanez, José María Valls
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP 2006: 202-212 - 2005
- [j10]David Camacho
Software and Performance Measures for Evaluating Multi-Agent Frameworks. Appl. Artif. Intell. 19(6): 645-657 (2005) - [j9]Susana Fernández
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. Appl. Artif. Intell. 19(8): 783-809 (2005) - [j8]David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina:
A Multi-Agent architecture for intelligent gathering systems. AI Commun. 18(1): 15-32 (2005) - [c23]Ricardo Aler, Oscar Garcia, José María Valls:
Correcting and improving imitation models of humans for Robosoccer agents. Congress on Evolutionary Computation 2005: 2402-2409 - [c22]César Estébanez, José María Valls
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) 2005: 665-670 - [c21]José María Valls
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN 2005: 257-263 - [c20]César Estébanez, Ricardo Aler, José María Valls:
Genetic Programming Based Data Projections for Classification Tasks. IEC (Prague) 2005: 56-61 - 2004
- [j7]Ricardo Aler, David Camacho, Alfredo Moscardini:
The Effects of Transfer of Global Improvements in Genetic Programming. Comput. Artif. Intell. 23(4): 377-394 (2004) - [c19]Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández:
Learning Content Sequencing in an Educational Environment According to Student Needs. ALT 2004: 454-463 - [c18]Susana Fernández, Ricardo Aler, Daniel Borrajo:
Using Previous Experience for Learning Planning Control Knowledge. FLAIRS 2004: 713-718 - [c17]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Empirical Evaluation of Optimized Stacking Configurations. ICTAI 2004: 49-55 - [c16]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo
Predicting Opponent Actions by Observation. RoboCup 2004: 286-296 - 2003
- [c15]David Camacho, Miguel A. López, Ricardo Aler:
Semi-Automatic Parsing for Web Knowledge Extraction. Applied Informatics 2003: 303-308 - [c14]Agapito Ledezma, Fernando Fernández, Ricardo Aler:
From Continuous Behaviour to Discrete Knowledge. IWANN (2) 2003: 217-224 - 2002
- [j6]Ricardo Aler
Using genetic programming to learn and improve control knowledge. Artif. Intell. 141(1/2): 29-56 (2002) - [j5]Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Exploring the Stacking State-Space. Int. J. Artif. Intell. Tools 11(2): 267-282 (2002) - [j4]Ricardo Aler
A knowledge-based approach for business process reengineering, SHAMASH. Knowl. Based Syst. 15(8): 473-483 (2002) - [c13]Ricardo Aler, Daniel Borrajo:
On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. AIPS 2002: 112-120 - [c12]David Camacho
Solving Travel Problems by Integrating WEB Information with Planning. ISMIS 2002: 482-490 - [c11]Agapito Ledezma, Ricardo Aler, Araceli Sanchis, Daniel Borrajo:
Predicting opponent actions in the RoboSoccer. SMC (2) 2002: 5 - 2001
- [j3]Ricardo Aler, Francisco Blázquez, David Camacho:
Experimentacion en Programacion Genetica Multinivel. Inteligencia Artif. 5(13): 10-22 (2001) - [j2]Ricardo Aler, Daniel Borrajo
Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evol. Comput. 9(4): 387-420 (2001) - [j1]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): 167-177 (2001) - [c10]Ricardo Aler, Daniel Borrajo
Grammars for learning control knowledge with GP. CEC 2001: 1220-1227 - [c9]Agapito Ledezma, Ricardo Aler, Daniel Borrajo
Empirical Study of a Stacking State-Space. ICTAI 2001: 210-217 - [c8]David Camacho, Ricardo Aler, Daniel Borrajo
SHAMASH: An AI Tool for Modeling and Optimizing Business Processes. ICTAI 2001: 306-313 - [c7]Agapito Ledezma, Antonio Berlanga
Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) 2001: 799-806 - [c6]David Camacho, Daniel Borrajo
Abstract planning in dynamic environments. SMC 2001: 2331-2336 - 2000
- [c5]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Knowledge Representation Issues in Control Knowledge Learning. ICML 2000: 1-8
1990 – 1999
- 1999
- [b1]Ricardo Aler:
Programación genética de heurísticas para planificación. Technical University of Madrid, Spain, 1999 - 1998
- [c4]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Genetic Programming of Control Knowledge for Planning. AIPS 1998: 137-144 - [c3]Ricardo Aler, Daniel Borrajo
Evolving Heuristics for Planning. Evolutionary Programming 1998: 745-754 - [c2]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: 60-70 - [c1]Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18
Coauthor Index
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