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Pavel Brazdil: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Pavel Brazdil
    Approaches to Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Advanced Topics in Artificial Intelligence, 1992, pp:139-160 [Conf]
  2. Yonghong Peng, Peter A. Flach, Carlos Soares, Pavel Brazdil
    Improved Dataset Characterisation for Meta-learning. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:141-152 [Conf]
  3. Pavel Brazdil
    Experimental Learning Model. [Citation Graph (0, 0)][DBLP]
    AISB/GI (ECAI), 1978, pp:46-50 [Conf]
  4. Pavel Brazdil
    Use of Derivation Trees in Discrimination. [Citation Graph (0, 0)][DBLP]
    ECAI, 1984, pp:239-244 [Conf]
  5. Pavel Brazdil, Alípio Jorge
    Learning by Refining Algorithm Sketches. [Citation Graph (0, 0)][DBLP]
    ECAI, 1994, pp:443-447 [Conf]
  6. Pavel Brazdil, Carlos Soares
    A Comparison of Ranking Methods for Classification Algorithm Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2000, pp:63-74 [Conf]
  7. Rui Camacho, Pavel Brazdil
    Improving the Robustness and Encoding Complexity of Behavioural Clones. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:37-48 [Conf]
  8. Pavel Brazdil, Stephen Muggleton
    Learning to Relate Terms in a Multiple Agent Environment. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:424-439 [Conf]
  9. Pavel Brazdil
    Knowledge States and Meta-Knowledge Maintenance. [Citation Graph (0, 0)][DBLP]
    EWSL, 1987, pp:138-146 [Conf]
  10. Pavel Brazdil, Joao Gama, Bob Henery
    Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:83-102 [Conf]
  11. Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde
    Panel: Learning in Distributed Systems and Multi-Agent Environments. [Citation Graph (0, 0)][DBLP]
    EWSL, 1991, pp:412-423 [Conf]
  12. Alípio Jorge, Pavel Brazdil
    Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    ECML, 1995, pp:299-302 [Conf]
  13. Rui Leite, Pavel Brazdil
    Improving Progressive Sampling via Meta-learning on Learning Curves. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:250-261 [Conf]
  14. Pavel Brazdil, Carlos Soares, Rui Pereira
    Reducing Rankings of Classifiers by Eliminating Redundant Classifiers. [Citation Graph (0, 0)][DBLP]
    EPIA, 2001, pp:14-21 [Conf]
  15. João Gama, Pavel Brazdil
    Characterization of Classification Algorithms. [Citation Graph (0, 0)][DBLP]
    EPIA, 1995, pp:189-200 [Conf]
  16. Rui Leite, Pavel Brazdil
    Improving Progressive Sampling via Meta-learning. [Citation Graph (0, 0)][DBLP]
    EPIA, 2003, pp:313-323 [Conf]
  17. Carlos Soares, Johann Petrak, Pavel Brazdil
    Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing. [Citation Graph (0, 0)][DBLP]
    EPIA, 2001, pp:88-95 [Conf]
  18. Carlos Soares, Pavel Brazdil
    A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:80-89 [Conf]
  19. Pavel Brazdil, Ivan Bruha
    A Method of Processing Unknown Attribute Values by ID3. [Citation Graph (0, 0)][DBLP]
    ICCI, 1992, pp:253-256 [Conf]
  20. Rui Leite, Pavel Brazdil
    Predicting relative performance of classifiers from samples. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:497-503 [Conf]
  21. Fabrice Colas, Pavel Brazdil
    Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks. [Citation Graph (0, 0)][DBLP]
    IFIP AI, 2006, pp:169-178 [Conf]
  22. Pavel Brazdil
    Learning Simple Arithmetic. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1977, pp:346-346 [Conf]
  23. Alípio Jorge, Pavel Brazdil
    Integrity Constraints in ILP Using a Monte Carlo Approach. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:229-244 [Conf]
  24. Carlos Soares, Pavel Brazdil
    Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:126-135 [Conf]
  25. Pavel Brazdil
    Ranking Classification Algorithms and Combinations of Methods. [Citation Graph (0, 0)][DBLP]
    PRIS, 2001, pp:12-13 [Conf]
  26. João Cordeiro, Pavel Brazdil
    Learning Text Extraction Rules, without Ignoring Stop Words. [Citation Graph (0, 0)][DBLP]
    PRIS, 2004, pp:128-138 [Conf]
  27. Rui Leite, Pavel Brazdil
    A Meta-learning Approach to Improve Progressive Sampling. [Citation Graph (0, 0)][DBLP]
    PRIS, 2004, pp:25-34 [Conf]
  28. Carlos Soares, Pavel Brazdil
    Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:564-568 [Conf]
  29. Alneu de Andrade Lopes, Pavel Brazdil
    Redundant Covering with Global Evaluation in the RC1 Inductive Learner. [Citation Graph (0, 0)][DBLP]
    SBIA, 1998, pp:111-120 [Conf]
  30. Fabrice Colas, Pavel Brazdil
    On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks. [Citation Graph (0, 0)][DBLP]
    TSD, 2006, pp:45-52 [Conf]
  31. Joao Gama, Pavel Brazdil
    Linear tree. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1999, v:3, n:1, pp:1-22 [Journal]
  32. Pavel Brazdil, Carlos Soares, Joaquim Pinto da Costa
    Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:3, pp:251-277 [Journal]
  33. Joao Gama, Pavel Brazdil
    Cascade Generalization. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:3, pp:315-343 [Journal]
  34. Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil
    Introduction to the Special Issue on Meta-Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:3, pp:187-193 [Journal]
  35. Ryszard S. Michalski, Pavel Brazdil
    Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:50, n:3, pp:219-222 [Journal]
  36. Carlos Soares, Pavel Brazdil, Petr Kuba
    A Meta-Learning Method to Select the Kernel Width in Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:3, pp:195-209 [Journal]
  37. Alberto Freitas, Altamiro Costa-Pereira, Pavel Brazdil
    Cost-Sensitive Decision Trees Applied to Medical Data. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2007, pp:303-312 [Conf]
  38. Rui Leite, Pavel Brazdil
    An Iterative Process for Building Learning Curves and Predicting Relative Performance of Classifiers. [Citation Graph (0, 0)][DBLP]
    EPIA Workshops, 2007, pp:87-98 [Conf]
  39. João Cordeiro, Gaël Dias, Pavel Brazdil
    Learning Paraphrases from WNS Corpora. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2007, pp:193-198 [Conf]
  40. Fabrice Colas, Pavel Paclík, Joost N. Kok, Pavel Brazdil
    Does SVM Really Scale Up to Large Bag of Words Feature Spaces? [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:296-307 [Conf]
  41. Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
    Using Meta-Learning to Support Data Mining. [Citation Graph (0, 0)][DBLP]
    IJCSA, 2004, v:1, n:1, pp:31-45 [Journal]

  42. Active Testing Strategy to Predict the Best Classification Algorithm via Sampling and Metalearning. [Citation Graph (, )][DBLP]


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