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Filip Zelezný
2010 – today
- 2013
[j15]Roman Barták, Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný: Formulating the template ILP consistency problem as a constraint satisfaction problem. Constraints 18(2): 144-165 (2013)
[j14]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný: Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Min. Knowl. Discov. 27(3): 291-293 (2013)
[j13]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný: Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Machine Learning 93(1): 1-3 (2013)
[e6]Fabrizio Riguzzi, Filip Zelezný (Eds.): Inductive Logic Programming - 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7842, Springer 2013, ISBN 978-3-642-38811-8
[e5]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný (Eds.): Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8188, Springer 2013, ISBN 978-3-642-40987-5
[e4]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný (Eds.): Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8189, Springer 2013, ISBN 978-3-642-40990-5
[e3]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný (Eds.): Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III. Lecture Notes in Computer Science 8190, Springer 2013, ISBN 978-3-642-40993-6- 2012
[j12]Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar: Comparative evaluation of set-level techniques in predictive classification of gene expression samples. BMC Bioinformatics 13(S-10): S15 (2012)
[j11]Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný, Jakub Tolar: Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search. BMC Bioinformatics 13(S-10): S3 (2012)
[c37]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný: Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins. BIBM 2012: 1-4
[c36]Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný: Prediction of antimicrobial activity of peptides using relational machine learning. BIBM Workshops 2012: 575-580
[c35]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný: Relational Learning with Polynomials. ICTAI 2012: 1145-1150
[c34]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný: Bounded Least General Generalization. ILP 2012: 116-129
[c33]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný: Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses. NFMCP 2012: 17-32
[e2]Fabrizio Riguzzi, Filip Zelezný (Eds.): Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, Dubrovnik, Croatia, September 17-19, 2012. CEUR Workshop Proceedings 975, CEUR-WS.org 2012
[i1]Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný: A Revised Publication Model for ECML PKDD. CoRR abs/1207.6324 (2012)- 2011
[j10]Jan Zahálka, Filip Zelezný: An experimental test of Occam's razor in classification. Machine Learning 82(3): 475-481 (2011)
[j9]Ondrej Kuzelka, Filip Zelezný: Block-wise construction of tree-like relational features with monotone reducibility and redundancy. Machine Learning 83(2): 163-192 (2011)
[j8]Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac: Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning. IEEE T. Automation Science and Engineering 8(2): 253-264 (2011)
[c32]Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný: Gaussian logic and its applications in bioinformatics. BCB 2011: 496-498
[c31]Jiri Belohradsky, David Monge, Filip Zelezný, Matej Holec, Carlos García Garino: Template-based semi-automatic workflow construction for gene expression data analysis. CBMS 2011: 1-6
[c30]Radomír Cernoch, Filip Zelezný: Subgroup Discovery Using Bump Hunting on Multi-relational Histograms. ILP 2011: 76-90
[c29]Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar: Comparative Evaluation of Set-Level Techniques in Microarray Classification. ISBRA 2011: 274-285
[c28]Andrea Szabóová, Ondrej Kuzelka, Sergio Morales E., Filip Zelezný, Jakub Tolar: Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method. ISBRA 2011: 358-367
[c27]Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný: Gaussian Logic for Predictive Classification. ECML/PKDD (2) 2011: 277-292- 2010
[c26]Roman Barták, Ondrej Kuzelka, Filip Zelezný: Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. Abstraction, Reformulation, and Approximation 2010
[c25]Roman Barták, Ondrej Kuzelka, Filip Zelezný: Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. FLAIRS Conference 2010
[c24]Ondrej Kuzelka, Filip Zelezný: Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. ILP 2010: 138-145
[c23]Radomír Cernoch, Filip Zelezný: Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans. ILP 2010: 269-276
[c22]Filip Zelezný, Ondrej Kuzelka: Taming the Complexity of Inductive Logic Programming. SOFSEM 2010: 132-140
2000 – 2009
- 2009
[j7]Filip Zelezný, Nada Lavrac: Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). Machine Learning 76(1): 1-2 (2009)
[c21]Ondrej Kuzelka, Filip Zelezný: Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. ICML 2009: 72
[c20]Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar: Integrating Multiple-Platform Expression Data through Gene Set Features. ISBRA 2009: 5-17- 2008
[j6]Ondrej Kuzelka, Filip Zelezný: A Restarted Strategy for Efficient Subsumption Testing. Fundam. Inform. 89(1): 95-109 (2008)
[j5]Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný: Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 3-15 (2008)
[j4]Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar: Learning Relational Descriptions of Differentially Expressed Gene Groups. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 16-25 (2008)
[c19]Ondrej Kuzelka, Filip Zelezný: Fast estimation of first-order clause coverage through randomization and maximum likelihood. ICML 2008: 504-511
[c18]Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný: Gene expression data mining guided by genomic background knowledge. SOFSEM (2) 2008: 101-111
[e1]Filip Zelezný, Nada Lavrac (Eds.): Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings. Lecture Notes in Computer Science 5194, Springer 2008, ISBN 978-3-540-85927-7- 2007
[c17]Monika Záková, Filip Zelezný: Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. ECML 2007: 798-805- 2006
[j3]Filip Zelezný, Nada Lavrac: Propositionalization-based relational subgroup discovery with RSD. Machine Learning 62(1-2): 33-63 (2006)
[j2]Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.: Randomised restarted search in ILP. Machine Learning 64(1-3): 183-208 (2006)
[c16]Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac: Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. CompLife 2006: 86-96
[c15]Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan: ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP 2006: 379-393
[c14]Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina: Relational Data Mining Applied to Virtual Engineering of Product Designs. ILP 2006: 439-453
[c13]Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar: Relational Descriptive Analysis of Gene Expression Data. STAIRS 2006: 184-195- 2005
[c12]Jan Tozicka, Filip Zelezný, Michal Pechoucek: Modelling of Agents' Behavior with Semi-collaborative Meta-agents. CEEMAS 2005: 572-575
[c11]Martin Rehák, Jan Tozicka, Michal Pechoucek, Filip Zelezný, Milan Rollo: An Abstract Architecture for Computational Reflection in Multi-Agent Systems. IAT 2005: 128-131
[c10]
[c9]- 2004
[j1]Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar: Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics 37(4): 269-284 (2004)
[c8]Nada Lavrac, Filip Zelezný, Saso Dzeroski: Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Local Pattern Detection 2004: 71-88
[c7]Filip Zelezný, Ashwin Srinivasan, David Page: A Monte Carlo Study of Randomised Restarted Search in ILP. ILP 2004: 341-358- 2003
[c6]Mark-A. Krogel, Simon Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel: Comparative Evaluation of Approaches to Propositionalization. ILP 2003: 197-214- 2002
[c5]Nada Lavrac, Filip Zelezný, Peter A. Flach: RSD: Relational Subgroup Discovery through First-Order Feature Construction. ILP 2002: 149-165
[c4]Filip Zelezný, Ashwin Srinivasan, David Page: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 333-345
[c3]Filip Zelezný, Jirí Zídgek, Olga Stepánková: A Learning System for Decision Support in Telecommunications. Soft-Ware 2002: 88-101- 2001
[c2]- 2000
[c1]Filip Zelezný, Petr Miksovský, Olga Stepánková, Jirí Zídek: ILP for Automated Telephony. ILP Work-in-progress reports 2000
Coauthor Index
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last updated on 2013-10-02 11:15 CEST by the dblp team



