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Publications of Author

1. Jan Tozicka, Filip Zelezný, Michal Pechoucek
   Modelling of Agents' Behavior with Semi-collaborative Meta-agents. [Citation Graph (0, 0)][DBLP]
   CEEMAS, 2005, pp:572-575 [Conf]
   
2. Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac
   Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. [Citation Graph (0, 0)][DBLP]
   CompLife, 2006, pp:86-96 [Conf]
   
3. Nada Lavrac, Filip Zelezný, Saso Dzeroski
   Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. [Citation Graph (0, 0)][DBLP]
   Local Pattern Detection, 2004, pp:71-88 [Conf]
   
4. Martin Rehák, Jan Tozicka, Michal Pechoucek, Filip Zelezný, Milan Rollo
   An Abstract Architecture for Computational Reflection in Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
   IAT, 2005, pp:128-131 [Conf]
   
5. Mark-A. Krogel, Simon Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel
   Comparative Evaluation of Approaches to Propositionalization. [Citation Graph (0, 0)][DBLP]
   ILP, 2003, pp:197-214 [Conf]
   
6. Nada Lavrac, Filip Zelezný, Peter A. Flach
   RSD: Relational Subgroup Discovery through First-Order Feature Construction. [Citation Graph (0, 0)][DBLP]
   ILP, 2002, pp:149-165 [Conf]
   
7. Filip Zelezný
   Learning Functions from Imperfect Positive Data. [Citation Graph (0, 0)][DBLP]
   ILP, 2001, pp:248-260 [Conf]
   
8. Filip Zelezný
   Efficient Sampling in Relational Feature Spaces. [Citation Graph (0, 0)][DBLP]
   ILP, 2005, pp:397-413 [Conf]
   
9. Filip Zelezný, Petr Miksovský, Olga Stepánková, Jirí Zídek
   ILP for Automated Telephony. [Citation Graph (0, 0)][DBLP]
   ILP Work-in-progress reports, 2000, pp:- [Conf]
   
10. Filip Zelezný, Ashwin Srinivasan, David Page
    Lattice-Search Runtime Distributions May Be Heavy-Tailed. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:333-345 [Conf]
    
11. Filip Zelezný, Ashwin Srinivasan, David Page
    A Monte Carlo Study of Randomised Restarted Search in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:341-358 [Conf]
    
12. Filip Zelezný, Jirí Zídgek, Olga Stepánková
    A Learning System for Decision Support in Telecommunications. [Citation Graph (0, 0)][DBLP]
    Soft-Ware, 2002, pp:88-101 [Conf]
    
13. Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar
    Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2004, v:37, n:4, pp:269-284 [Journal]
    
14. Filip Zelezný, Nada Lavrac
    Propositionalization-based relational subgroup discovery with RSD. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:62, n:1-2, pp:33-63 [Journal]
    
15. Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.
    Randomised restarted search in ILP. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:183-208 [Journal]
    
16. Monika Záková, Filip Zelezný
    Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:798-805 [Conf]
    
17. Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
    ILP Through Propositionalization and Stochastic k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:379-393 [Conf]
    
18. Monika Záková, Filip Zelezný, Javier A. Garcia-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina
    Relational Data Mining Applied to Virtual Engineering of Product Designs. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:439-453 [Conf]
    
19. 
    Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. [Citation Graph (, )][DBLP]
    
    
20. 
    Fast estimation of first-order clause coverage through randomization and maximum likelihood. [Citation Graph (, )][DBLP]
    
    
21. 
    Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. [Citation Graph (, )][DBLP]
    
    
22. 
    Efficient construction of relational features. [Citation Graph (, )][DBLP]
    
    
23. 
    Gene expression data mining guided by genomic background knowledge. [Citation Graph (, )][DBLP]
    
    
24. 
    Taming the Complexity of Inductive Logic Programming. [Citation Graph (, )][DBLP]
    
    
25. 
    Integrating Multiple-Platform Expression Data through Gene Set Features. [Citation Graph (, )][DBLP]
    
    
26. 
    Relational Descriptive Analysis of Gene Expression Data. [Citation Graph (, )][DBLP]