Filip Železný

Dept. of Computer Science
Faculty of Electrical Engineering
Czech Technical University in Prague
Karlovo namesti 13, 12135 Prague 2, Czech Republic
E-mail: zelezny *at* fel.cvut.cz, Phone # +420224357661


Publications

Awards & Projects

Community work

Teaching

Full Vita

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Journal papers

Klema J., Malinka F., Zelezny F.: Semantic biclustering for finding local, interpretable and predictive expression patterns. BMC Genomics, 18(7):41-53, 2017 (online)

Cernoch R., Kuzelka O., Zelezny F.: Polynomial and Extensible Solutions in Lock-Chart Solving. Applied Artificial Intelligence, 30(10):923-941, 2016 (online)

Holec M., Kuzelka O., Zelezny F.: Novel Gene Sets Improve Set-Level Classification of Prokaryotic Gene Expression Data. BMC Bioinformatics, 16:348, 2015 (online)

Monge D. A., Holec M., Zelezny F., Garino C.-G.: Ensemble learning of runtime prediction models for gene-expression analysis workflows. Cluster Computing 18:4 1317-29, 2015 (online)

Kuzelka O., Szaboova A., Zelezny F.: A Method for Reduction of Examples in Relational Learning. Journal of Intelligent Information Systems 42(2):255-281, 2014 (online, pdf)

Wohlfahrtova M., Brabcova I., Zelezny F., Balaz P., Janousek L., Lodererova A., Honsova E., Wohlfahrt P., and Viklicky O.: Tubular atrophy and low netrin-1 expression leves are risk factors associated with delayed kidney allograft function. Transplantation 97(2):176-183, 2014 (online)

Bartak R., Cernoch R., Kuzelka O., Zelezny F.: Formulating the Template ILP Consistency Problem as a Constraint Satisfaction Problem. Constraints 18(2):144-165, 2013 (online, pdf)

Szaboova A., Kuzelka O., Zelezny F., Tolar J.: Prediction of DNA-binding proteins from relational features. Proteome Science 10:66, 2012 (online)

Szaboova A., Kuzelka O., Zelezny F., Tolar J.: Prediction of DNA-binding Propensity of Proteins by the Ball-Histogram Method using Automatic Template Search BMC Bioinformatics 13(Suppl 10):S3, 2012 (online)

Holec M., Klema J., Zelezny F., Tolar J.: Comparative Evaluation of Set-Level Techniques in Predictive Classification of Gene Expression Samples BMC Bioinformatics 13(Suppl 10):S15, 2012 (online)

Urbanova M., Brabcova I., Girmanova E., Zelezny F., Viklicky O..: Differential Regulation of the Nuclear Factor-kappa-B Pathway by Rabbit Antithymocyte Globulins in Kidney Transplantation. Transplantation 93(6):589-96, 2012 (online)

Kuzelka O., Zelezny F.: Block-Wise Construction of Tree-like Relational Features with Monotone Reducibility and Redundancy. Machine Learning 83(2):163-192, 2011 (online, pdf)

Zahalka J., Zelezny F.: An Experimental Test of Occam's Razor in Classification (Technical note). Machine Learning 82(3):475-481, 2011 (online, pdf)

Zakova M., Kremen P., Zelezny F., Lavrac N.: Automatic Knowledge Discovery Workflow Composition through Ontology-Based Planning. IEEE Trans. Autom. Sci. and Eng. 8(2):253-264, 2011 (online, pdf)

Kuzelka O., Zelezny F.: A Restarted Strategy for Efficient Subsumption Testing. Fundamenta Informaticae 89(1):95-109, 2008 (online, pdf)

Trajkovski I., Zelezny F., Lavrac N., Tolar J.: Learning Relational Descriptions of Differentially Expressed Gene Groups . IEEE Trans. Sys Man Cyb C 38(1):16-25, 2008 (online, pdf)

Klema J., Novakova L., Karel F., Stepankova O., Zelezny F.: Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors . IEEE Trans. Sys Man Cyb C 38(1):3-15, 2008 (online)

Zelezny F., Srinivasan A., Page D.: Randomized Restarted Search in ILP. Machine Learning 64(1-2):183--208, 2006 (online, pdf)

Zelezny F., Lavrac N.: Propositionalization-Based Relational Subgroup Discovery with RSD. Machine Learning 62(1-2):33-63, 2006 (online, pdf)

Gamberger D., Lavrac N., Zelezny F., Tolar J.: Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. Journal of Biomedical Informatics 37(4):269-284, 2004. (online, pdf)

Zelezny F.: Efficiency-conscious Propositionalization for Relational Learning Kybernetika 4(3):275-292, 2004 (online, pdf)


Selected papers

Sourek G., Svatos M., Zelezny F., Schockaert S., Kuzelka O. Stacked Structure Learning for Lifted Relational Neural Networks. ILP 2017: The 27th International Conference on Inductive Logic Programming. Springer, 2017 (pdf) BEST PAPER AWARD

Rysavy P., Zelezny F. Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. IDA 2016: The 15th International Symposium on Intelligent Data Analysis. Springer, 2016 (pdf) FRONTIER PRIZE for the best paper of the symposium

Sourek G., Aschenbrenner V., Zelezny F., Kuzelka O.: Lifted relational neural networks. arXiv preprint arXiv:1508.05128 (online)

Kuzelka O., Szaboova A., Holec M., Zelezny F. Gaussian Logic for Predictive Classification. ECML/PKDD 2011: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer 2011 (online, pdf)

Kuzelka O., Zelezny F.: Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties. ICML 2009: the 26th International Conference on Machine Learning (pdf)

Kuzelka O., Zelezny F.: Fast Estimation of First-Order Clause Coverage through Randomization and Maximum Likelihood. ICML 2008: the 25th International Conference on Machine Learning (pdf)

Zakova M., Zelezny F.: Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. ECML/PKDD 2007: 18th European Conference on Machine Learning / 11th European Conference on Principles and Practice of Knowledge Discovery, Springer 2007 (pdf)


Editorials

Blockeel H., Kersting K., Nijssen S., Zelezny F.: Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Data Mining and Knowledge Discovery 27(3): 291-293 (2013)

Blockeel H., Kersting K., Nijssen S., Zelezny F.: Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Machine Learning 93(1): 1-3 (2013)

Blockeel H., Kersting K., Nijssen S., Zelezny F.: (Eds.): Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Parts I, II, III. Lecture Notes in Computer Science 8188, Springer 2013

Riguzzi F., Zelezny F.: Guest editors' introduction: special issue on Inductive Logic Programming. Machine Learning DOI 10.1007/s10994-013-5398-8 (pub ahead of print), 2013 (online)

Riguzzi F., Zelezny F. (Eds.): Inductive Logic Programming, 22th International Conference, ILP 2012. Springer 2012 (online)

Riguzzi F., Zelezny F. (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

Zelezny F., Lavrac N.: Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). Machine Learning 76(1):1-2, 2009 (online, pdf)

Zelezny F., Lavrac N. (Eds.): Inductive Logic Programming, 18th International Conference, ILP 2008. Springer 2008 (online)

Berendt B., Mladenic D., de Gemmis M., Semeraro G., Spiliopoulou M., Stumme G., Svatek V., Zelezny F. (editors): Knowledge Discovery Enhanced with Semantic and Social Information , Springer 2009


Invited Keynote Talks

Zelezny F.: Semantic Web and Machine Learning: Time to Re-Sync KESW 2016: Int. Conf. on Knowledge Engineering and Semantic Web (pdf)

Zelezny F.: Planning to learn: Recent developments and future directions. PlanLearn'12: ECAI'12 Workshop on Planning to Learn. (abstract)

Zelezny F., Kuzelka F.: Taming the Complexity of Inductive Logic Programming SOFSEM 2010: 36th Int. Conf. on Current Trends in Theory and Practice of Computer Science(online, pdf slides)


Book chapters

Zelezny F.: Inductive Logic Programming, In: Encyclopedia of the Sciences of Learning, Springer 2012 (online)

Bartak R., Zelezny F., Kuzelka O.: Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming, In: Encyclopedia of the Sciences of Learning, Springer 2012 (online)

Zelezny F., Klema J.: Vyuzivani znalosti v dobyvani znalosti, In: Umela Inteligence VI, Academia 2012

Klema, J., Zelezny, F., Trajkovski, I., Karel, F., Cremilleux, B. and Tolar, J.: Gene Expression Mining Guided by Background Knowledge. In: Data Mining and Medical Knowledge Management: Cases and Applications, IGI Global 2009.

Zelezny F. : O empirickem vyzkumu algoritmickeho objevovani. In: Umela Inteligence V, Academia, Prague 2007 (In Czech)

Zelezny F., Klema J., Stepankova O.: Strojove uceni v dobyvani znalosti. In: Umela Inteligence IV, Academia, Prague 2003 (In Czech)


Other papers

Rysavy P., Zelezny F.: Estimating Sequence Similarity from Contig Sets. IDA 2017, Springer 2017 (pdf)

Barvinek J., Zelezny F.: A First-Order Axiomatization for Transition Learning with Rich Constraints. ILP 2017 short paper. (pdf)

Svatos M., Sourek G., Zelezny F., Schockaert S., Kuzelka O.: Pruning Hypothesis Spaces Using Learned Domain Theories. ILP 2017 short paper. (pdf)

Sourek G., Manandhar S., Zelezny F., Schockaert S., Kuzelka O.: Learning Predictive Categories Using Lifted Relational Neural Networks. ILP 2016 short paper. (pdf)

Sourek G., Aschenbrenner V., Zelezny F., Kuzelka O.: Lifted relational neural networks. CoCo 2015 - NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches.

Sourek G., Kuzelka O., Zelezny F.:Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. AIMS 2015 proceedings, Springer 2015 (online)

Zelezny F., Jalovec K., Tolar J.: Learning meets Sequencing: a Generality Framework for Read-Sets. ILP'14 late breaking papers (pdf)

Monge D.A., Holec M., Zelezny F., Garino C.G.: Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA 2014 proceedings, Springer 2014 (online)

Jalovec K., Zelezny F.: Binary classification of metagenomic samples using discriminative DNA superstrings MLSB'14 (pdf)

Sourek G., Kuzelka O., Zelezny F..: Predicting Top-k Trends on Twitter using Graphlets and Time Features. ILP'13 late breaking papers proceedings (pdf)

Kuzelka O., Szaboova A., Zelezny F.: Bounded Least General Generalization. ILP 2012 post-conference proceedings, Springer 2013 (online, pdf)

Blockeel H., Kersting K., Nijssen S., Zelezny F.: A Revised Publication Model for ECML PKDD. CoRR abs/1207.6324, 2012 (online)

Kuzelka O., Szaboova A., Zelezny F.: Relational Learning with Polynomials. ICTAI'12: 24th IEEE International Conference on Tools with Artificial Intelligence, 2012 (pdf)

Kuzelka O., Szaboova A., Zelezny F.: Extending the Ball-Histogram Method with Continuous Distributions and an Application to Prediction of DNA-Binding Proteins. BIBM'2012: 2012 IEEE International Conference on Bioinformatics and Biomedicine (pdf)

Szaboova A., Kuzelka O., Zelezny F.: Prediction of Antimicrobial Activity of Peptides using Relational Machine Learning, IEEE BIBM 2012 International Workshop on Computational Proteomics, 2012 (pdf)

Kuzelka O., Szaboova A., Zelezny F.: Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses, NFCMP'12: Proceedings of the ECML/PKDD'12 Workshop on New Frontiers In Mining Complex Patterns, Springer 2012 (online, pdf)

Cernoch R., Zelezny F.: Subgroup Discovery using Bump Hunting on Multi-Relational Histograms. ILP 2011: 21th International Conference on Inductive Logic Programming, Springer 2011 (online, pdf)

Szaboova A., Kuzelka O., Morales S.E., Zelezny F., Tolar J: Prediction of DNA-binding Propensity of Proteins by the Ball-Histogram Method. ISBRA 2011: the 7th International Symposium on Bioinformatics Research and Applications, Springer 2011 (pdf)

Klema J., Holec M., Zelezny F., Tolar J.: Comparative Evaluation of Set-Level Techniques in Microarray Classification. ISBRA 2011: the 7th International Symposium on Bioinformatics Research and Applications, Springer 2011 (pdf)

Zelezny F.: Satisfiability Machines. ILP 2011: 21th International Conference on Inductive Logic Programming, Late-breaking Proceedings (pdf)

Kuzelka O., Zelezny F. An Experimental Evaluation of Lifted Gene Sets MIND 2011: ECML/PKDD 2011 Workshop on Mining Complex Entities from Network and Biomedical Data (Athens 9/11). (pdf)

Szaboova A., Kuzelka O., Zelezny F. Gaussian Logic and Its Applications in Bioinformatics (poster paper). ACM-BCB 2011: ACM Conference on Bioinformatics, Computational Biology and Biomedicine (Chicago 8/11). (pdf)

Szaboova A., Kuzelka O., Zelezny F., Tolar J. Prediction of DNA-binding Propensity of Proteins Using Distributions of Charged Amino Acids in Primary Structure (poster). ACM-BCB 2011: ACM Conference on Bioinformatics, Computational Biology and Biomedicine (Chicago 8/11). (pdf)

Monge D., Belohradsky J., Garcia C.-G., Zelezny F.: A Performance Prediction Module for Workflow Scheduling. HPC'2011: 4th Symposium on High-Performance Computing in Latin America (Cordoba 8/11). (pdf)

Kuzelka O., Szaboova A., Holec M., Zelezny F. Gaussian Logic for Proteomics and Genomics MLSB 2011: the 5th International Workshop on Machine Learning in Systems Biology (Vienna 7/11). (pdf)

Belohradsky J., Monge D., Zelezny F., Holec M., Garion C.-G.: Template-Based Semi-Automatic Workflow Construction for Gene Expression Data Analysis (poster paper) CBMS 2011: the 24th INternational Symposium on Computer-Based Medical Systems (Bristol 6/11). (pdf)

Szaboova A., Kuzelka O., Zelezny F., Tolar J. Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods (poster paper). ISBRA 2011: the 7th International Symposium on Bioinformatics Research and Applications (Changsha 5/11). (pdf)

Cernoch R., Zelezny F. Probabilistic Rule Learning through Integer Linear Programming. Znalosti 2011 10th Czech-Slovak Conference on Knowledge Management. (pdf)

Cernoch R., Zelezny F.: Speeding up Planning through Minimal Generalizations of Partially Ordered Plans. ILP 2010: 20th International Conference on Inductive Logic Programming, Springer 2010 (online, pdf)

Kuzelka O., Zelezny F.Shrinking Covariance Matrices Using Biological Background Knowledge. MLSB 2010: 4th International Workshop on Machine Learning in Systems Biology (Edinburgh 10/10). (pdf)

Szaboova A., Kuzelka O., Zelezny F., Tolar J. Prediction of DNA-Binding Proteins from Structural Features. MLSB 2010: 4th International Workshop on Machine Learning in Systems Biology (Edinburgh 10/10). (pdf)

Szaboova A., Kuzelka O., Zelezny F., Tolar J.: Mining Frequent Spatial Docking Patterns in Zinc Finger - DNA Complexes. ESBME 2010: 7th European Symposium on Biomedical Engineering (Chalkidiki 5/10). (pdf)

Kuzelka O., Zelezny F.: Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. ILP 2010: 20th International Conference on Inductive Logic Programming (Firenze 6/10). To appear in Springer LNCS. (pdf)

Bartak R., Kuzelka O., Zelezny F.: Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. WARA 2010 AAAI 2010 workshop on Abstraction, Reformulation, and Approximation (Atlanta 7/10) (pdf)

Holec M., Zelezny F., Klema J., Tolar. J.: A Comparative Evaluation of Gene Set Analysis Techniques in Predictive Classification of Expression Samples International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-2010) (pdf)

Bartak R., Kuzelka O., Zelezny F.: Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming FLAIRS-23 - Florida Artificial Intelligence Research Society, The 23rd International Conference, 2010 (pdf)

Holec M., Zelezny F., Klema J., Tolar J.: Integrating Multiple-Platform Expression Data through Gene Set Features. ISBRA 2009: the 5th International Symposium on Bioinformatics Research and Applications, Springer 2009. (pdf)

Holec M., Klema J., Zelezny F., Belohradsky J., Tolar. J.: Cross-Genome Knowledge-Based Expression Data Fusion International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-09)

Kuzelka O., Zelezny F.: Block-Wise Construction of Acyclic Relational Features with Monotone Relevancy. ILP 2009: 19th International Conference on Inductive Logic Programming, 2009

Zakova M, Podpecan V., Zelezny F., Lavrac N.: Advancing Data Mining Workflow Construction: A Framework and Cases using the Orange Toolkit SoKD: ECML/PKDD 2009 workshop on Third Generation Data Mining: Towards Service oriented Knowledge Discovery

Zakova M., Kremen P., Zelezny F., Lavrac N.: Using Ontological Reasoning and Planning for Data Mining Workflow Composition SoKD: ECML/PKDD 2008 workshop on Third Generation Data Mining: Towards Service oriented Knowledge Discovery

Zakova M., Kremen P., Zelezny F., Lavrac N.: Planning to Learn with a Knowledge Discovery Ontology Planning to Learn Workshop at ICML 2008

Kuzelka O., Zelezny F.: HiFi: Tractable Propositionalization through Hierartchical Feature Construction Late-breaking papers, ILP 2008: 18th International Conference on Inductive Logic Programming.

Moulik K., Zelezny F.: Predicting Gene-Coexpression from Pathway Relations Late-breaking papers, ILP 2008: 18th International Conference on Inductive Logic Programming.

Holec M., Zelezny F., Klema J., Svoboda J., Tolar J.: Using Bio-Pathways in Relational Learning. Late-breaking papers, ILP 2008: 18th International Conference on Inductive Logic Programming.

Klema J., Silhava J, Smrz P., Zelezny F.: Gene expression data mining guided by genomic background knowledge. In SOFSEM'08: Current Trends in Theory and Practice of Computer Science, 2008.

Zakova, M. - Zelezny, F. - Kremen, P. - Tissot, C.M. - Lavrac, N.: Relational Data Mining through Propositionalization and Subsequent Propositional Search for Semantic Virtual Engineering. In KCAP 2007 Workshop on Knowledge Management and Semantic Web for Engineering Design (KW4ED�07). New York: ACM, 2007

Kuzelka O., Zelezny F.: A Restart Strategy for Fast Subsumption Check and Coverage Estimation. 6th Workshop on Multi-Relational Data Mining (MRDM'07) at ECML/PKDD'07 (pdf)

Zakova M., Zelezny F.: Exploiting Taxonomic Background Knowledge in Propositionalization and Rule Learning. ECML/PKDD'07 workshop on Prior Conceptual Knowledge in Machine Learning (PriCKL'07), extended version of an ECML/PKDD'07 paper (pdf)

Zakova M., Kremen P., Garcia-Sedano, J. A., Tissot C. M., Lavrac N., Zelezny F., Molina J.: Relational Pattern and Subgroup Discovery in CAD Documents. Znalosti 2007 - Sborn�k p��sp�vk� 6. ro�n�ku konference, 2007. (pdf)

Zakova M., Zelezny F., Garcia-Sedano, J. A., Tissot C. M., Lavrac N., Kremen P., Molina J.: Relational Data Mining Applied to Virtual Engineering of Product Designs. ILP 2006: 16th International Conference on Inductive Logic Programming. Springer 2007 (pdf)

Paes A., Zelezny F., Zaverucha G., Page D., Srinivasan A.: ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP 2006: 16th International Conference on Inductive Logic Programming. Springer 2007 (pdf)

Trajkovski I., Zelezny F., Tolar J., Lavrac N.: Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. CompLife 2006: 2nd International Symposium on Computational Life Science. Springer 2006 (pdf)

Zakova M., Zelezny F., Garcia-Sedano J., Tissot C. M., Lavrac N.: Relational Data Mining Applied to Virtual Engineering of Product Designs. 16th Int. Conf. on Inductive Logic Programming - Short Papers. Santiago de Compostela 8/2006 (pdf, ppt slides, ppt slides)

Paes A., Zelezny F., Zaverucha G., Page D., Srinivasan A.: ILP through Propositionalization and Stochastic k-term DNF Learning. 16th Int. Conf. on Inductive Logic Programming - Short Papers. Santiago de Compostela 8/2006 (pdf, ppt slides)

Trajkovski I., Zelezny F., Tolar J., Lavrac N.: Relational Descriptive Analysis of Gene Expression Data. STAIRS-2006 (3rd European Starting AI Researcher Symposium) at the 17th European Conference on Artificial Intelligence. Riva del Garda 8/2006. (pdf)

Zelezny F., Tolar J., Lavrac N., Stepankova O.: Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns. BioMED 2006: The Fourth IASTED International Conference on Biomedical Engineering. Innsbruck 2/2006. (pdf)

Zelezny F.: Efficient Sampling in Relational Feature Spaces. ILP 2005: 15th International Conference on Inductive Logic Programming, Springer 2005 (pdf)

Rehak M., Tozicka J., Pechoucek M., Zelezny F.: An Abstract Architecture for Computational Reflection in Multi-Agent Systems. The 2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (pdf)

Zelezny F.: Efficient Construction of Relational Features. ICMLA 2005: 4th International Conference on Machine Learning and Applications. IEEE Computer Society Press 2005 (pdf)

Zelezny F., Tolar J., Lavrac N., Stepankova O.: Relational Subgroup Discovery for Gene Expression Data Mining. EMBEC'05: the 3rd European Medical & Biological Engineering Conf. / IFMBE European Conf. on Biomedical Engineering. Prague 11/2005. (pdf)

Zelezny F.: Relationalization: a Framework for Reconstructing Structures from Propositional Descriptions Work-in-Progress Track of the 15th Int. Conf. on Inductive Logic Programming. Bonn 2005 (pdf)

Zelezny F.: How Computers Discover How Computers Discover (a mini-review of algorithmic meta-discovery). In Procs of the Czech-Argentine Biennale "e-Golems" (Interdisciplinary aspects of Human-Machine Co-existence and Co-operation). CTU Press, Prague 7/2005. (fulltext in pdf, presentation slides in pdf)

Klema J., Holas T., Karel F., Zelezny F.: Mining the Strongest Patterns In Medical Sequential Data. 3rd European Medical & Biological Engineering Conf. / IFMBE European Conf. on Biomedical Engineering. Prague 11/2005.

Tozicka J., Zelezny F., Pechoucek M.: Modelling of Agents' Behavior with Semi-Collaborative Meta-Agents. Short paper at the 4th Int. Central and Eastern European Conf. on Multi-Agent Systems (CEEMAS'05), Budapest, Hungary 9/2005. To appear.

Zelezny F.: Analyza genomickych dat algoritmy strojoveho uceni. Konference Telemedicina Brno, 2005

Zelezny F.: Tractable construction of relational features. Znalosti '05, Bratislava 2/2005 (fulltext in pdf)

Zelezny F., Srinivasan A., Page D.: A Monte Carlo Study of Randomised Restarted Search in ILP . ILP 2004: 14th International Conference on Inductive Logic Programming, Springer 2004 (fulltext in pdf, presentation in pdf)

Zelezny F.: A Bottom Set Strategy For Tractable Feature Construction. Work-in-Progress Track of the 14th Int. Conf. on Inductive Logic Programming. Porto 2004 (fulltext in pdf, presentation in pdf)

Lavrac N., Zelezny F., Dzeroski S.: Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. In: Boulicaut J.F., Morik K., Siebes A.: Detecting Local Patterns - seminar Proceedings. Dagstuhl 4/2004, Springer-Verlag, 2004. (postscript)

Gamberger D., Lavrac N., Zelezny F., Tolar J.: Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. In 2nd EUNITE Workshop on Intelligent Technologies for GeneExpression Based Individualized Medicine. Jena: BioControl Jena GmbH, 2004

Krogel M., Rawles S., Zelezny F., Flach P., Lavrac N., Wrobel S.: Comparative Evaluation of Approaches to Propositionalization. ILP 2003: 13th International Conference on Inductive Logic Programming, Springer 2003 (pdf)

Zelezny F., Srinivasan A., Page D.: Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP 2002: 12th International Conference on Inductive Logic Programming, Springer 2003 (pdf)

Lavrac N., Zelezny F., Flach P.: RSD: Relational Subgroup Discovery through First-order Feature Construction. ILP 2002: 12th International Conference on Inductive Logic Programming, Springer 2003 (pdf)

Zelezny F., Lavrac N., Dzeroski S.: Constraint-Based Relational Subgroup Discovery. Workshop on Multirelational Data Mining (MRDM 03) at KDD 03, Washington DC, 2003.(pdf)

Zelezny F., Lavrac N., Dzeroski S.: Using Constraints in Relational Subgroup Discovery (extended abstract) . Int. Conf. on Methodology & Statistics, Ljubljana 9/2003.

Zelezny F., Stepankova O.: Efektivni prevod multirelacni databaze na jednorelacni reprezentaci (in Czech). In: V. Svatek (ed.): Znalosti 2003 (2st national conference), Ostrava, Czech Rep., 2/2003

Klema, J., Zelezny, F. Data-Mining and Decision-Support Systems Integration. In: Proceedings of Workshop 2003. Prague : CTU, 2003, vol. A, p. 228-229. ISBN 80-01-02708-2.

Zelezny F., Zidek J., Stepankova O.: A Learning System for Decision Support in Telecommunications. In: Bustard D., Weiru L., Sterritt R. (eds.): Soft-Ware 2002 Computing in an Imperfect World, 1st Int. Conference, Belfast, Northern Ireland, 4/2002. Springer-Verlag 2002, ISBN 3-540-43481-X. (pdf, ppt slides)

Aubrecht P., Zelezny F., Miksovsky P., Stepankova O.: SumatraTT: Towards a Universal Data Preprocessor. In: Proceedings of the 16th European Meeting on Cybernetics and System Research, vol. 2, p. 818-823. Vienna, Austria, 4/2002, Austrian Society for Cybernetics Studies, ISBN 3-85206-160-1. (BEST PAPER AWARD).

Cestnik B., Lavrac N., Zelezny F., Gamberger D., Todorovski L., Kline M.: Data Mining for Decision Support in Marketing: A Case Study in Targeting a Marketing Campaign. In: IDDM-2002 workshop at ECML'02, Helsinki, Finland 2002.

Zelezny F.: Learning Functions from Imperfect Positive Data. ILP 2001: 11th International Conference on Inductive Logic Programming, Springer 2001 (pdf, postscript)

Zelezny F., Miksovsky P., Stepankova O., Zidek J.: ILP for automated telephony. In: Cussens J., Frisch A. (eds.): Proceedings of the work-in-progress track of the 10th Intermational Conference on Inductive Logic Programming (ILP 2000), Imperial College, London, UK, 6/2000.


Talks & public seminars

Zelezny. F.: Randomized Restarted Search in Relational Machine Learning. Cornell University - Intelligent Information Systems Institute, Ithaca, New York, 10/2004.

Zelezny. F.: Relational Machine Learning for Multi Agent Systems. US Air Force Rome Laboratory, Rome, New York, 10/2004.

Zelezny F.: Propositionalization via First-Order Logic Feature Construction. Univ. of Wisconsin in Madison, Dpt. of Biostatistics, 6/2003. (abstract)

Zelezny F.: Randomized Search Strategies for Efficient ILP. University of Wisconsin in Madison, Dpt. Biostatistics 5/2003. (abstract)

Zelezny F.: Inductive Logic Programming and its Use in Data Mining. Laboratoire lorrain de recherche en informatique et ses applications (LORIA), Nancy, France 3/2001.