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Antonio Bahamonde: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jorge Díez, Gustavo F. Bayón, José Ramón Quevedo, Juan José del Coz, Oscar Luaces, Jaime Alonso, Antonio Bahamonde
    Discovering Relevancies in Very Difficult Regression Problems: Applications to Sensory Data Analysis. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:993-994 [Conf]
  2. Oscar Luaces, Gustavo F. Bayón, José Ramón Quevedo, Jorge Díez, Juan José del Coz, Antonio Bahamonde
    Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:286-297 [Conf]
  3. Jorge Díez, Juan José del Coz, Oscar Luaces, Félix Goyache, Jaime Alonso, A. M. Peña, Antonio Bahamonde
    Learning to Assess from Pair-Wise Comparisons. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:481-490 [Conf]
  4. Antonio Bahamonde, Gustavo F. Bayón, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz, Jaime Alonso, Félix Goyache
    Feature subset selection for learning preferences: a case study. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Oscar Luaces, Jaime Alonso, Enrique A. de la Cal, José Ranilla, Antonio Bahamonde
    Machine Learning Usefulness Relies on Accuracy and Self-Maintenance. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 2), 1998, pp:448-457 [Conf]
  6. Oscar Luaces, José Ramón Quevedo, Francisco Taboada, Guillermo M. Albaiceta, Antonio Bahamonde
    Prediction of Probability of Survival in Critically Ill Patients Optimizing the Area under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:956-961 [Conf]
  7. Juan José del Coz, Jorge Díez, Antonio Bahamonde, Carlos Sañudo, Matilde Alfonso, Philippe Berge, Eric Dransfield, Costas Stamataris, Demetrios Zygoyiannis, Tyri Valdimarsdottir, Edi Piasentier, Geoffrey Nute, Alan Fisher
    Learning the Reasons Why Groups of Consumers Prefer Some Food Products. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:297-309 [Conf]
  8. Antonio Bahamonde, Enrique A. de la Cal, José Ranilla, Jaime Alonso
    Self-Organizing Symbolic Learned Rules. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:536-545 [Conf]
  9. Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
    Self-Organizing Cases to Find Paradigms. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:527-536 [Conf]
  10. Oscar Luaces, Juan José del Coz, José Ramón Quevedo, Jaime Alonso, José Ranilla, Antonio Bahamonde
    Autonomous Clustering for Machine Learning. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:497-506 [Conf]
  11. Pedro Hernández-Arauzo, Secundino López-García, Antonio Bahamonde
    Artificial Neural Networks for the Computation of Traffic Queues. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:1288-1297 [Conf]
  12. José Ramón Quevedo, Elías F. Combarro, Antonio Bahamonde
    Choosing among Algorithms to Improve Accuracy. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:246-253 [Conf]
  13. Juan José del Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo
    Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  14. Jorge Díez, Juan José del Coz, Carlos Sañudo, Pere Albertí, Antonio Bahamonde
    A Kernel Based Method for Discovering Market Segments in Beef Meat. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:462-469 [Conf]
  15. Antonio Bahamonde, Ramón P. Otero
    Resumen CAEPIA-TTIA-2002. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2002, v:15, n:, pp:6- [Journal]
  16. F. López, Félix Goyache, José Ramón Quevedo, Jaime Alonso, José Ranilla, Oscar Luaces, Antonio Bahamonde, Juan José del Coz
    Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2000, v:10, n:, pp:5-17 [Journal]
  17. Oscar Luaces, Antonio Bahamonde
    Aprendizaje de la Similitud entre Casos con Valores Discretos y Numericos (Premio Accésit Jose Cuena). [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2000, v:9, n:, pp:38-44 [Journal]
  18. F. Martin, E. Panaigua, Ana García-Serrano, R. Rizo, S. Moral, F. Toledo, Antonio Bahamonde
    Resumen de CAEPIA99 / TTIA99. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2000, v:9, n:, pp:2-5 [Journal]
  19. José Ranilla, Ricardo Mones, Antonio Bahamonde
    El Nivel de Impureza de una regla de clasificación aprendida a partir de ejemplos. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1997, v:4, n:, pp:4-11 [Journal]
  20. José Ranilla, Oscar Luaces, Antonio Bahamonde
    A heuristic for learning decision trees and pruning them into classification rules. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2003, v:16, n:2, pp:71-87 [Journal]
  21. Oscar Luaces, Antonio Bahamonde
    Inflating examples to obtain rules. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:11, pp:1113-1143 [Journal]
  22. Francisco Botana, Antonio Bahamonde
    SHAPE: a machine learning system from examples. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 1995, v:42, n:2, pp:137-155 [Journal]
  23. José Ranilla, Antonio Bahamonde
    F AN: Finding Accurate iNductions. [Citation Graph (0, 0)][DBLP]
    Int. J. Hum.-Comput. Stud., 2002, v:56, n:4, pp:445-474 [Journal]
  24. Antonio Bahamonde
    Cost Functors and Optimal Realization. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1985, v:30, n:3, pp:274-290 [Journal]
  25. Camino R. Vela, Antonio Bahamonde
    The Best Nondeterministic Representations of Finite Orderings. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:51, n:3, pp:486-494 [Journal]
  26. Alejandro Hernández-Arauzo, Miguel García Torres, Antonio Bahamonde
    Ranking Attributes Using Learning of Preferences by Means of SVM. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2007, pp:100-109 [Conf]

  27. Prediction and Inheritance of Phenotypes. [Citation Graph (, )][DBLP]


  28. Learning to Predict One or More Ranks in Ordinal Regression Tasks. [Citation Graph (, )][DBLP]


  29. Soft Margin Trees. [Citation Graph (, )][DBLP]


  30. Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples. [Citation Graph (, )][DBLP]


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