| 2009 | ||
|---|---|---|
| 47 | Ricardo Aler, Inés María Galván, José María Valls: Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS 2009: 65-71 | |
| 46 | 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: 244-255 | |
| 45 | José María Valls, Ricardo Aler: Optimizing Data Transformations for Classification Tasks. IDEAL 2009: 176-183 | |
| 44 | Agapito Ledezma, Ricardo Aler, Araceli Sanchís, Daniel Borrajo: OMBO: An opponent modeling approach. AI Commun. 22(1): 21-35 (2009) | |
| 43 | 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): 89-106 (2009) | |
| 42 | Ricardo Aler, José María Valls, David Camacho, Alberto López: Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36(2): 1850-1859 (2009) | |
| 41 | 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): 11992 (2009) | |
| 2008 | ||
| 40 | Francisco Luna, César Estébanez, Coromoto León, José M. 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: 1579-1586 | |
| 39 | Beatriz García, Ricardo Aler, Agapito Ledezma, Araceli Sanchís: Protein-protein functional association prediction using genetic programming. GECCO 2008: 347-348 | |
| 38 | Beatriz García, Ricardo Aler, Agapito Ledezma, Araceli Sanchís: Genetic Programming for Predicting Protein Networks. IBERAMIA 2008: 432-441 | |
| 37 | 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): 174-185 (2008) | |
| 2007 | ||
| 36 | Jack Mario Mingo, Ricardo Aler: Grammatical evolution guided by reinforcement. IEEE Congress on Evolutionary Computation 2007: 1475-1482 | |
| 35 | Susana Fernández, Ricardo Aler, Daniel Borrajo: Transferring Learned Control-Knowledge between Planners. IJCAI 2007: 1885-1890 | |
| 34 | José María Valls, Ricardo Aler, Oscar Fernández: Evolving Generalized Euclidean Distances for Training RBNN. Computers and Artificial Intelligence 26(1): (2007) | |
| 33 | César Estébanez, Ricardo Aler, José María Valls: A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. IJCSA 4(1): 69-80 (2007) | |
| 2006 | ||
| 32 | César Estébanez, José María Valls, Ricardo Aler: Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP 2006: 202-212 | |
| 31 | David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina: Multi-agent plan based information gathering. Appl. Intell. 25(1): 59-71 (2006) | |
| 2005 | ||
| 30 | Ricardo Aler, Oscar Garcia, José María Valls: Correcting and improving imitation models of humans for Robosoccer agents. Congress on Evolutionary Computation 2005: 2402-2409 | |
| 29 | César Estébanez, José María Valls, Ricardo Aler, Inés María Galván: A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) 2005: 665-670 | |
| 28 | César Estébanez, Ricardo Aler, José María Valls: Genetic Programming Based Data Projections for Classification Tasks. IEC (Prague) 2005: 56-61 | |
| 27 | José María Valls, Ricardo Aler, Oscar Fernández: Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN 2005: 257-263 | |
| 26 | David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina: A Multi-Agent architecture for intelligent gathering systems. AI Commun. 18(1): 15-32 (2005) | |
| 25 | David Camacho, Ricardo Aler: Software and Performance Measures for Evaluating Multi-Agent Frameworks. Applied Artificial Intelligence 19(6): 645-657 (2005) | |
| 24 | Susana Fernández, Ricardo Aler, Daniel Borrajo: Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. Applied Artificial Intelligence 19(8): 783-809 (2005) | |
| 2004 | ||
| 23 | Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández: Learning Content Sequencing in an Educational Environment According to Student Needs. ALT 2004: 454-463 | |
| 22 | Susana Fernández, Ricardo Aler, Daniel Borrajo: Using Previous Experience for Learning Planning Control Knowledge. FLAIRS Conference 2004 | |
| 21 | Agapito Ledezma, Ricardo Aler, Araceli Sanchís, Daniel Borrajo: Empirical Evaluation of Optimized Stacking Configurations. ICTAI 2004: 49-55 | |
| 20 | Agapito Ledezma, Ricardo Aler, Araceli Sanchís, Daniel Borrajo: Predicting Opponent Actions by Observation. RobuCup 2004: 286-296 | |
| 19 | Ricardo Aler, David Camacho, Alfredo Moscardini: The Effects of Transfer of Global Improvements in Genetic Programming. Computers and Artificial Intelligence 23(4): (2004) | |
| 2003 | ||
| 18 | David Camacho, Miguel A. López, Ricardo Aler: Semi-Automatic Parsing for Web Knowledge Extraction. Applied Informatics 2003: 303-308 | |
| 17 | Agapito Ledezma, Fernando Fernández, Ricardo Aler: From Continuous Behaviour to Discrete Knowledge. IWANN (2) 2003: 217-224 | |
| 2002 | ||
| 16 | Ricardo Aler, Daniel Borrajo: On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. AIPS 2002: 112-120 | |
| 15 | David Camacho, José M. Molina, Daniel Borrajo, Ricardo Aler: Solving Travel Problems by Integrating WEB Information with Planning. ISMIS 2002: 482-490 | |
| 14 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Using genetic programming to learn and improve control knowledge. Artif. Intell. 141(1/2): 29-56 (2002) | |
| 13 | Agapito Ledezma, Ricardo Aler, Daniel Borrajo: Exploring the Stacking State-Space. International Journal on Artificial Intelligence Tools 11(2): 267-282 (2002) | |
| 12 | Ricardo Aler, Daniel Borrajo, David Camacho, Almudena Sierra-Alonso: A knowledge-based approach for business process reengineering, SHAMASH. Knowl.-Based Syst. 15(8): 473-483 (2002) | |
| 2001 | ||
| 11 | Agapito Ledezma, Ricardo Aler, Daniel Borrajo: Empirical Study of a Stacking State-Space. ICTAI 2001: 210-217 | |
| 10 | David Camacho, Ricardo Aler, Daniel Borrajo, Almudena Sierra-Alonso: SHAMASH: An AI Tool for Modeling and Optimizing Business Processes. ICTAI 2001: 306-313 | |
| 9 | Agapito Ledezma, Antonio Berlanga, Ricardo Aler: Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. IWANN (1) 2001: 799-806 | |
| 8 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. Evolutionary Computation 9(4): 387-420 (2001) | |
| 7 | 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) | |
| 6 | Ricardo Aler, Francisco Blázquez, David Camacho: Experimentacion en Programacion Genetica Multinivel. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 13: 10-22 (2001) | |
| 2000 | ||
| 5 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Knowledge Representation Issues in Control Knowledge Learning. ICML 2000: 1-8 | |
| 1998 | ||
| 4 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming of Control Knowledge for Planning. AIPS 1998: 137-144 | |
| 3 | 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 | |
| 2 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Evolving Heuristics for Planning. Evolutionary Programming 1998: 745-754 | |
| 1 | Ricardo Aler, Daniel Borrajo, Pedro Isasi: Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18 | |