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Ricardo Aler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ricardo Aler, Daniel Borrajo
    On Control Knowledge Acquisition by Exploiting Human-Computer Interaction. [Citation Graph (0, 0)][DBLP]
    AIPS, 2002, pp:112-120 [Conf]
  2. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Genetic Programming of Control Knowledge for Planning. [Citation Graph (0, 0)][DBLP]
    AIPS, 1998, pp:137-144 [Conf]
  3. Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández
    Learning Content Sequencing in an Educational Environment According to Student Needs. [Citation Graph (0, 0)][DBLP]
    ALT, 2004, pp:454-463 [Conf]
  4. David Camacho, Miguel A. López, Ricardo Aler
    Semi-Automatic Parsing for Web Knowledge Extraction. [Citation Graph (0, 0)][DBLP]
    Applied Informatics, 2003, pp:303-308 [Conf]
  5. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Evolving Heuristics for Planning. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:745-754 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    EuroGP, 1998, pp:60-70 [Conf]
  7. César Estébanez, José María Valls, Ricardo Aler
    Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. [Citation Graph (0, 0)][DBLP]
    EuroGP, 2006, pp:202-212 [Conf]
  8. Susana Fernández, Ricardo Aler, Daniel Borrajo
    Using Previous Experience for Learning Planning Control Knowledge. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  9. César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
    A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:665-670 [Conf]
  10. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Knowledge Representation Issues in Control Knowledge Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1-8 [Conf]
  11. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:10-18 [Conf]
  12. David Camacho, Ricardo Aler, Daniel Borrajo, Almudena Sierra-Alonso
    SHAMASH: An AI Tool for Modeling and Optimizing Business Processes. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2001, pp:306-313 [Conf]
  13. Agapito Ledezma, Ricardo Aler, Daniel Borrajo
    Empirical Study of a Stacking State-Space. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2001, pp:210-217 [Conf]
  14. Agapito Ledezma, Ricardo Aler, Araceli Sanchís, Daniel Borrajo
    Empirical Evaluation of Optimized Stacking Configurations. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:49-55 [Conf]
  15. Susana Fernández, Ricardo Aler, Daniel Borrajo
    Transferring Learned Control-Knowledge between Planners. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1885-1890 [Conf]
  16. David Camacho, José M. Molina, Daniel Borrajo, Ricardo Aler
    Solving Travel Problems by Integrating WEB Information with Planning. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2002, pp:482-490 [Conf]
  17. Agapito Ledezma, Antonio Berlanga, Ricardo Aler
    Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:799-806 [Conf]
  18. Agapito Ledezma, Fernando Fernández, Ricardo Aler
    From Continuous Behaviour to Discrete Knowledge. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:217-224 [Conf]
  19. José María Valls, Ricardo Aler, Oscar Fernández
    Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:257-263 [Conf]
  20. Agapito Ledezma, Ricardo Aler, Araceli Sanchís, Daniel Borrajo
    Predicting Opponent Actions by Observation. [Citation Graph (0, 0)][DBLP]
    RobuCup, 2004, pp:286-296 [Conf]
  21. César Estébanez, Ricardo Aler, José María Valls
    Genetic Programming Based Data Projections for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    IEC (Prague), 2005, pp:56-61 [Conf]
  22. David Camacho, Ricardo Aler
    Software and Performance Measures for Evaluating Multi-Agent Frameworks. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2005, v:19, n:6, pp:645-657 [Journal]
  23. Susana Fernández, Ricardo Aler, Daniel Borrajo
    Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2005, v:19, n:8, pp:783-809 [Journal]
  24. Ricardo Aler, Francisco Blázquez, David Camacho
    Experimentacion en Programacion Genetica Multinivel. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2001, v:13, n:, pp:10-22 [Journal]
  25. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Using genetic programming to learn and improve control knowledge. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:141, n:1/2, pp:29-56 [Journal]
  26. David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina
    A Multi-Agent architecture for intelligent gathering systems. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2005, v:18, n:1, pp:15-32 [Journal]
  27. David Camacho, Ricardo Aler, Daniel Borrajo, José M. Molina
    Multi-agent plan based information gathering. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2006, v:25, n:1, pp:59-71 [Journal]
  28. Ricardo Aler, David Camacho, Alfredo Moscardini
    The Effects of Transfer of Global Improvements in Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 2004, v:23, n:4, pp:- [Journal]
  29. Ricardo Aler, Daniel Borrajo, Pedro Isasi
    Learning to Solve Planning Problems Efficiently by Means of Genetic Programming. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2001, v:9, n:4, pp:387-420 [Journal]
  30. Agapito Ledezma, Ricardo Aler, Daniel Borrajo
    Exploring the Stacking State-Space. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2002, v:11, n:2, pp:267-282 [Journal]
  31. Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
    A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:2, pp:167-177 [Journal]
  32. Ricardo Aler, Daniel Borrajo, David Camacho, Almudena Sierra-Alonso
    A knowledge-based approach for business process reengineering, SHAMASH. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2002, v:15, n:8, pp:473-483 [Journal]
  33. Ricardo Aler, Oscar Garcia, José María Valls
    Correcting and improving imitation models of humans for Robosoccer agents. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2402-2409 [Conf]
  34. José María Valls, Ricardo Aler, Oscar Fernández
    Evolving Generalized Euclidean Distances for Training RBNN. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 2007, v:26, n:1, pp:- [Journal]
  35. César Estébanez, Ricardo Aler, José María Valls
    A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. [Citation Graph (0, 0)][DBLP]
    IJCSA, 2007, v:4, n:1, pp:69-80 [Journal]

  36. An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. [Citation Graph (, )][DBLP]


  37. Protein-protein functional association prediction using genetic programming. [Citation Graph (, )][DBLP]


  38. Metaheuristics for solving a real-world frequency assignment problem in GSM networks. [Citation Graph (, )][DBLP]


  39. Genetic Programming for Predicting Protein Networks. [Citation Graph (, )][DBLP]


  40. Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. [Citation Graph (, )][DBLP]


  41. Optimizing Data Transformations for Classification Tasks. [Citation Graph (, )][DBLP]


  42. Optimizing Linear and Quadratic Data Transformations for Classification Tasks. [Citation Graph (, )][DBLP]


  43. Grammatical evolution guided by reinforcement. [Citation Graph (, )][DBLP]


  44. Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. [Citation Graph (, )][DBLP]


  45. OMBO: An opponent modeling approach. [Citation Graph (, )][DBLP]


  46. GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. [Citation Graph (, )][DBLP]


  47. Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. [Citation Graph (, )][DBLP]


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