The SCEAS System
Navigation Menu

Search the dblp DataBase


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]

Search in 0.025secs, Finished in 0.027secs
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
System created by [] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002