People

PROFESSORS

PROF. ING. FILIP ŽELEZNÝ, PH.D.

prof. Ing. Filip Železný, Ph.D.
Praha 2, Karlovo náměstí 13, E-433
+420 224 357 661
filip.zelezny@fel.cvut.cz

Theses topics
Machine Learning: Data Mining, Inductive Logic Programming, Machine Learning, Unsupervised Learning
Optimization: Combinatorial Optimization
Bioinformatics: Computational Biology, Bioinformatics

Kléma, J., Malinka, F., Železný, F. 2017 Semantic biclustering for finding local, interpretable and predictive expression patterns, detail

Šourek, G., Železný, F., Kuželka, O., Shockaert, S., Manandhar, S. 2017 Learning Predictive Categories Using Lifted Relational Neural Networks, detail

Ryšavý, P., Železný, F. 2017 Estimating Sequence Similarity from Contig Sets, detail

Železný, F. 2016 CISCO Networks Data Analysis: Progress Report on Wrapping up the Event Construction Method, detail

Černoch, R., Kuželka, O., Železný, F. 2016 Polynomial and Extensible Solutions in Lock-Chart Solving, detail

Šourek, G., Aschenbrenner, V., Železný, F., Kuželka, O. 2016 Lifted Relational Neural Networks, detail

Kléma, J., Malinka, F., Železný, F. 2016 Semantic Biclustering: A New Way to Analyze and Interpret Gene Expression Data, detail

Malinka, F., Kléma, J., Železný, F. 2016 Sémantická dvojshluková analýza dat genové exprese, detail

Ryšavý, P., Železný, F. 2016 Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data, detail

Železný, F. 2016 Master Key Systems Calculation for Assa Abloy Belgium (Litto), detail

Železný, F. 2016 CISCO Networks Data Analysis: Progress Report on Neural-Symbolic Learning Application, detail

Šourek, G., Kuželka, O., Železný, F. 2015 Learning to detect network intrusion from a few labeled events and background traffic, detail

Holec, M., Kuželka, O., Železný, F. 2015 Novel Gene Sets Improve Set-level Classification of Prokaryotic Gene Expression Data, detail

Monge, D.A., Holec, M., Železný, F., Garino, C.G. 2015 Ensemble Learning of Runtime Prediction Models for Gene-expression Analysis Workflows, detail

Šourek, G., Železný, F. 2015 Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic, detail

Monge, D.A., Holec, M., Železný, F., Garino, CG 2015 Learning Running-time Prediction Models for Gene-Expression Analysis Workflows, detail

Železný, F., Černoch, R., Vyskočil, J. 2015 CyberCalc, detail

Šourek, G., Železný, F., Kuželka, O., Pevný, T. 2015 Learning to create and exploit aggregative and relational properties of flow-sets, detail

Nava Velazco, U., Malinka, F., Kybic, J., Železný, F. 2014 Automatic Analysis of Spatial Gene Expression Patterns, detail

Riguzzi, F., Železný, F. 2014 Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012), detail

Buryan, P. 2014 Refinement Action-Based Framework for Utilization of Softcomputing in Inductive Learning, detail

Kuželka, O., Szabóová, A., Železný, F. 2014 A Method for Reduction of Examples in Relational Learning, detail

Wohlfahrtova, M., Brabcova, I., Železný, F., Balaz, P., Janousek, L., Honsova, E., Lodererova, A., Wohlfahrt, P., Viklicky, O. 2014 Tubular atrophy and low netrin-1 expression leves are risk factors associated with delayed kidney allograft function, detail

Šourek, G., Kuželka, O., Železný, F. 2014 Predicting Top-k Trends on Twitter using Graphlets and Time Features, detail

Monge, D A, Holec, M., Železný, F., Garino, C G 2014 Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows, detail

Železný, F. 2014 Satisfiability Machines, detail

Jalovec, K., Železný, F. 2014 Binary Classification of Metagenomic Samples Using Discriminative DNA Superstrings, detail

Šourek, G., Železný, F. 2014 Event Reconstruction from Network Flows, detail

Černoch, R., Hájíček, J., Železný, F. 2014 Progress in Automatic Construction of Key-Lock Systems, detail

Štepanovský, M., Kléma, J., Železný, F. 2014 Analysis of the Relationship Between Process and Vibex Data, detail

Železný, F., Kléma, J. 2013 Využívání znalostí pro získávání znalostí, detail

Kuželka, O., Szabóová, A., Železný, F. 2013 Bounded Least General Generalization, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2013 Guest editor's introduction: special issue of the ECML PKDD 2013 journal track, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2013 Guest editor's introduction: special issue of the ECML PKDD 2013 journal track, detail

Kuželka, O., Holec, M., Matas, J., Železný, F. 2013 Systém pro výpočet Generálního a Hlavního klíče, detail

Kuželka, O., Szabóová, A., Železný, F. 2013 Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses, detail

Železný, F., Šourek, G. 2013 Reconstructing Events from Networks Flows: Progress Report, detail

Barták, RB, Černoch, R., Kuželka, O., Železný, F. 2013 Formulating the template ILP consistency problem as a constraint satisfaction problem, detail

Železný, F., Kuželka, O., Holec, M., Černoch, R., Matas, J. 2013 Key/Lock system computation: progress report, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2013 Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2013, part III, detail

Riguzzi, FR, Železný, F. 2013 Inductive Logic Programming, 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2013 Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2013, part II, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2013 Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2013, part I, detail

Urbanová, M., Brabcová, I., Girmanová, E., Železný, F., Viklický, O. 2012 Differential Regulation of the Nuclear Factor-kappa B Pathway by Rabbit Antithymocyte Globulins in Kidney Transplantation, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2012 Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method Using Automatic Template Search, detail

Železný, F. 2012 Planning to Learn: Recent Developments and Future Directions, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2012 Přístupy k predikci interakce proteinů a DNA pomocí strojového učení, detail

Zemanová, M. 2012 Exploiting Ontologies and Higher Order Knowledge in Relational Data Mining, detail

Kuželka, O., Szabóová, A., Železný, F. 2012 Extending the Ball-Histogram Method with Continuous Distributions and an Application to Prediction of DNA-Binding Proteins, detail

Szabóová, A., Kuželka, O., Železný, F. 2012 Prediction of Antimicrobial Activity of Peptides using Relational Machine Learning, detail

Kuželka, O., Szabóová, A., Železný, F. 2012 Relational Learning with Polynomials, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2012 Prediction of DNA-Binding Proteins from Relational Features, detail

Železný, F. 2012 Inductive Logic Programming, detail

Černoch, R., Železný, F. 2012 Subgroup Discovery through Bump Hunting on Relational Histograms, detail

Barták, R., Železný, F., Kuželka, O. 2012 Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming, detail

Blockeel, H., Kersting, K., Nijssen, S., Železný, F. 2012 A Revised Publication Model for ECML PKDD, detail

Holec, M., Kléma, J., Železný, F., Tolar, J. 2012 Comparative Evaluation of Set-level Techniques in Predictive Classification of Gene Expression Samples, detail

Žáková, M., Křemen, P., Železný, F., Lavrač, N. 2011 Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning, detail

Kuželka, O., Železný, F. 2011 Block-Wise Construction of Tree-like Relational Features with Monotone Reducibility and Redundancy, detail

Zahálka, J., Železný, F. 2011 An Experimental Test of Occam's Razor in Classification, detail

Szabóová, A., Kuželka, O., Morales, S.E., Železný, F., Tolar, J. 2011 Prediction of DNA-Binding Propensity of Proteins by the Ball Histogram Method, detail

Černoch, R., Železný, F. 2011 Probabilistic Rule Learning through Integer Linear Programming, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2011 Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods, detail

Kuželka, O., Szabóová, A., Holec, M., Železný, F. 2011 Gaussian Logic for Proteomics and Genomics, detail

Kuželka, O., Szabóová, A., Železný, F. 2011 Gaussian Logic and Its Applications in Bioinformatics, detail

Kuželka, O., Železný, F. 2011 An Experimental Evaluation of Lifted Gene Sets, detail

Kléma, J., Holec, M., Železný, F., Tolar, J. 2011 Comparative Evaluation of Set-Level Techniques in Microarray Classification, detail

Kuželka, O., Szabóová, A., Holec, M., Železný, F. 2011 Gaussian Logic for Predictive Classification, detail

Bělohradský, J., Monge, D., Železný, F., Garino, C.G., Holec, M. 2011 Template-Based Semi-Automatic Workflow Construction For Gene Expression Data Mining, detail

Monge, D., Bělohradský, J., Garino, C.G., Železný, F. 2011 A Performance Prediction Module for Workflow Scheduling, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2010 Prediction of DNA Binding Proteins from Structural Features, detail

Kuželka, O., Železný, F. 2010 Shrinking Covariance Matrices using Biological Background Knowledge, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2010 Prediction of DNA-Binding Proteins from Relational Features, detail

Kubalík, J., Železný, F. 2010 Solving the Shortest Common Supersequence Problem Using Iterative Optimization with Evolved Hypermutations, detail

Černoch, R., Železný, F. 2010 Classification and subgroup discovery using multirelational histograms, detail

Černoch, R., Železný, F. 2010 Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans, detail

Holec, M., Železný, F., Kléma, J., Tolar, J. 2010 A Comparative Evaluation of Gene Set Analysis Techniques in Predictive Classification of Expression Samples, detail

Kuželka, O., Železný, F. 2010 Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples, detail

Holec, M., Železný, F., Kléma, J., Tolar, J. 2010 Comparative Evaluation of Set Level Techniques in Predictive Classification of Gene Expression Samples, detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2010 Prediction of DNA-Binding Proteins from Relational Features, detail

Holec, M., Železný, F., Kléma, J., Tolar, J. 2010 Towards Set Level Predictive Classification of Gene Expression Data, detail

Železný, F., Kuželka, O. 2010 Taming the Complexity of Inductive Logic Programming (invited talk), detail

Szabóová, A., Kuželka, O., Železný, F., Tolar, J. 2010 Mining Frequent Spatial Docking Patterns in Zinc Finger DNA Complexes, detail

Barták, R., Kuželka, O., Železný, F. 2010 Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming, detail

Kléma, J., Železný, F., Trajkovski, I., Karel, F., Cremilleux, B., Tolar, J. 2009 Gene Expression Mining Guided by Background Knowledge, detail

Holec, M., Železný, F., Kléma, J., Tolar, J. 2009 Integrating Multiple Platform Expression Data through Gene Set Features, detail

Holec, M., Kléma, J., Železný, F., Bělohradský, J., Tolar, J. 2009 Cross-Genome Knowledge-Based Expression Data Fusion, detail

Železný, F., Lavrač, T. 2009 Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2008), detail

Kuželka, O., Železný, F. 2009 Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties, detail

Žáková, M., Podpečan, V., Železný, F., Lavrač, N. 2009 Advancing Data Mining Workflow Construction: A Framework and Cases using the Orange Toolkit, detail

Karel, F. 2009 Quantitative Association Rules Mining, detail

Trajkovski, I., Železný, F., Lavrač, N., Tolar, J. 2008 Learning Relational Descriptions of Differentially Expressed Gene Groups, detail

Kuželka, O., Železný, F. 2008 Fast Estimation of First Order Clause Coverage through Randomization and Maximum Likelihood, detail

Kléma, J., Nováková, L., Karel, F., Štěpánková, O., Železný, F. 2008 Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors, detail

Žáková, M., Křemen, P., Železný, F., Lavrač, N. 2008 Planning to Learn with a Knowledge Discovery Ontology, detail

Kléma, J., Šilhavá, J., Smrž, P., Železný, F. 2008 Gene Expression Data Mining Guided by Genomic Background Knowledge, detail

Kuželka, O., Železný, F. 2008 Learning to Plan and Planning to Learn via Merging Relational Machine Learning with Constraint Satisfaction (extended abstract), detail

Holec, M., Železný, F., Kléma, J., Svoboda, J., Tolar, J. 2008 Using Bio-Pathways in Relational Learning, detail

Železný, F., Lavrac, N. 2008 Inductive Logic Programming, 18th International Conference, Late Breaking Papers, detail

Železný, F., Lavrac, N. 2008 Inductive Logic Programming, 18th International Conference, detail

Železný, F., Kléma, J., Holec, M., Bělohradský, J. 2008 XGENE.ORG: Cross-GENomE Cross-ORGanism expression data analysis, detail

Moulík, K., Železný, F. 2008 Predicting Gene Coexpression from Pathway Relations, detail

Kléma, J., Holas, T., Železný, F., Karel, F. 2008 Dolování silných vzorů z lékařských sekvenčních dat, detail

Kuželka, O., Železný, F. 2008 HiFi: Tractable Propositionalization through Hierarchical Feature Construction, detail

Žáková, M., Křemen, P., Železný, F., Lavrac, N. 2008 Using Ontological Reasoning and Planning for Data Mining Workflow Composition, detail

Kuželka, O., Železný, F. 2008 A Restarted Strategy for Efficient Subsumption Testing, detail

Mareš, J., Szakácsová, M., Železný, F., Kléma, J., Soukup, V., Dušková, J., Babjuk, M. 2007 Differences in Gene Expression between Transitional Cell Carcinoma of The Human Bladder with Short and Prolonged Recurrence Free Period Using Oligonucleotide Micorarrays, detail

Žáková, M., Křemen, P., Železný, F., Sedano, J.A., Tisot, C.M., Lavrač, N., Molina, J. 2007 Relational Pattern and Subgroup Discovery in CAD Documents, detail

Paes, A., Železný, F., Zaverucha, G., Page, D., Srinivasan, A. 2007 ILP Through Propositionalization and Stochastic k-Term DNF Learning, detail

Žáková, M., Železný, F., Garcia-Sedano, J., Massia Tisot, C., Lavrač, N., Křemen, P., Molina, J. 2007 Relational Data Mining Applied to Virtual Engineering of Product Designs, detail

Žáková, M., Železný, F. 2007 Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning, detail

Žáková, M., Železný, F., Křemen, P., Tissot, C.M., Lavrač, N. 2007 Relational Data Mining through Propositionalization and Subsequent Propositional Search for Semantic Virtual Engineering, detail

Železný, F., Štěpánková, O., Tolar, J., Lavrač, N. 2006 Summarizing gene-expression-based classifiers by meta-mining comprehensible relational patterns, detail

Železný, F., Lavrač, N. 2006 Propositionalization based relational subgroup discovery with RSD, detail

Železný, F. 2006 Towards Adaptive Problem Solves, detail

Žáková, M., Železný, F., Garcia-Sedano, J., Masia Tissot, C., Lavrac, N., Křemen, P., Molina, J. 2006 Relational Data Mining Applied to Virtual Engineering of Product Designs, detail

Paes, A., Železný, F., Zaveruch, G., Page, D., Srinivasan, A. 2006 ILP through Propositionalization and Stochastic k-term DNF Learning, detail

Trajkovski, I., Železný, F., Tolar, J., Lavrac, N. 2006 Relational Subgroup Discovery for Descriptive Analysis of Microarray Data, detail

Železný, F., Srinivasan, A., Page, C.D. 2006 Randomised Restarted Search in ILP, detail

Trajkovski, I., Železný, F., Tolar, J., Lavrač, N. 2006 Relational Descriptive Analysis of Gene Expression Data, detail

Železný, F. 2006 RSD - Relational Subgroup Discovery, detail

Kléma, J., Holas, T., Železný, F., Karel, F. 2005 Mining the Strongest Patterns in Medical Sequential Data, detail

Železný, F., Tolar, J., Lavrač, N., Štěpánková, O. 2005 Relational Subgroup Discovery for Gene Expression Data Mining, detail

Železný, F. 2005 Artificial intelligence based inference of knowledge from gene expression microarray data, detail

Tožička, J., Pěchouček, M., Železný, F. 2005 Modelling of Agents' Behavior with Semi-Collaborative Meta-Agents, detail

Rehák, M., Tožička, J., Pěchouček, M., Železný, F., Rollo, M. 2005 An Abstract Architecture for Computational Reflection in Multi-Agent Systems, detail

Železný, F. 2005 Tractable Construction of Relational Features, detail

Železný, F. 2005 Analýza genomických dat algoritmy strojového učení, detail

Železný, F. 2005 How Computers Discover How Computers Discover (a review of algorithmic meta-discovery), detail

Železný, F. 2005 Efficient Sampling in Relational Feature Spaces, detail

Železný, F. 2005 Metody umělé inteligence pro analýzu dat genové exprese, detail

Železný, F. 2005 Efficient Construction of Relational Features, detail

Železný, F. 2005 Mining the Genome, detail

Železný, F. 2004 Relational Machine Learning for Multi Agent Systems, detail

Železný, F. 2004 Randomized Restarted Search in Relational Machine Learning, detail

Železný, F. 2004 Tractable Construction of Relational Features, detail

Železný, F. 2004 Approaches to Propositionalization: State of the Art Review, detail

Gamberger, D., Lavrač, N., Železný, F., Tolar, J. 2004 Induction of comprehensible models for gene expression datasets by subgroup discovery methodology, detail

Lavrač, N., Železný, F., Džeroski, S. 2004 Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery, detail

Gamberger, D., Lavrač, N., Železný, F., Tolar, J. 2004 Induction of Comprehensible Models for Gene Expression Datasets by Subgroup Discovery Methodology, detail

Železný, F. 2004 Efficiency-conscious Propositionalization for Relational Learning, detail

Železný, F., Srinivasan, A., Page, D. 2004 A Monte Carlo Study of Randomised Restarted Search in ILP, detail

Železný, F. 2003 Propositionalization via First-Order Logic Feature Construction, detail

Železný, F. 2003 Ottova všeobecná encyklopedie ve dvou svazcích. A - L, detail

Železný, F. 2003 Ottova všeobecná encyklopedie ve dvou svazcích. M - Ž, detail

Železný, F., Srinivasan, A., Page, D. 2003 Lattice-Search Runtime Distributions May Be Heavy-Tailed, detail

Lavrac, N., Železný, F., Flach, P. 2003 RSD: Relational Subgroup Discovery through First-order Feature Construction, detail

Železný, F., Štěpánková, O. 2003 Efektivní převod multirelační database na jednorelační reprezentaci, detail

Železný, F. 2003 Two Probabilistic Approaches to First-Order Theory Induction, detail

Krogel, M.A., Rawles, S., Železný, F., Flach, P., Lavrač, N., Wrobel, S. 2003 Comparative Evaluation of Approaches to Propositionalization, detail

Železný, F., Lavrač, N., Džeroski, S. 2003 Using Constraints in Relational Subgroup Discovery, detail

Železný, F., Lavrač, N., Džeroski, S. 2003 Constraint-Based Relational Subgroup Discovery, detail

Kléma, J., Železný, F. 2003 Data-Mining and Decision-Support Systems Integration, detail

Železný, F., Kléma, J., Štěpánková, O. 2003 Strojové učení v dobývání znalostí, detail

Štěpánková, O., Kléma, J., Železný, F. 2003 Rozpoznávání zajímavých souvislostí v datech, detail

Železný, F. 2003 Randomized Search Strategies for Efficient ILP, detail

Aubrecht, P., Železný, F., Mikšovský, P., Štěpánková, O. 2002 SumatraTT: Towards a Universal Data Preprocessor, detail

Železný, F., Gamberger, D., Todorovski, L. 2002 Data Processing for a Marketing Application, detail

Cestnik, B., Lavrač, N., Železný, F., Gamberger, D., Todorovski, L., Kline, M. 2002 Data Mining for Decision Support in Marketing: A Case Study in Targeting a Marketing Campaign, detail

Železný, F., Zídek, J. 2002 Dobývání znalostí a podpora rozhodování v telekomunikacích, detail

Železný, F., Štěpánková, O., Zídek, J. 2002 A Learning System for Decision Support in Telecommunications, detail

Železný, F., Zídek, J. 2002 Dobývání znalostí a podpora rozhodování v telekomunikacích, detail

Železný, F., Srinivasan, A., Page, D. 2001 Lattice-Search Runtime Distributions May Be Heavy-Tailed, detail

Lavrac, N., Železný, F., Flach, P. 2001 Relational Subgroup Discovery through First-order Feature Construction, detail

Železný, F., Mikšovský, P., Štěpánková, O., Zídek, J. 2001 The Scope and Limitations of Inductive Logic Programming, detail

Železný, F. 2001 Inductive Logic Programmning and its Use in Datamining, detail

Železný, F., Aubrecht, P., Mikšovský, P. 2001 Connecting Sumatra to Aleph and Other ILP Systems, detail

Železný, F. 2001 Knowledge Discovery in First Order Logic, detail

Železný, F. 2001 Learning Functional Logic Programs from Positive Data Containing Normally Distribute Noise, detail

Železný, F. 2001 Learning Functions from Imperfect Positive Data, detail

Aubrecht, P., Železný, F., Mikšovský, P., Štěpánková, O. 2001 SumatraTT: ILP Connectivity and Additional Features, detail

Aubrecht, P., Železný, F., Mikšovský, P., Štěpánková, O. 2001 Progress in SumatraTT: ILP Connectivity and More New Features, detail

Palouš, J., Železný, F. 2001 Learnability in Inductive Logic Programming, detail

Železný, F., Mikšovský, P., Štěpánková, O., Zídek, J. 2000 ILP for Automated Telephony, detail

Železný, F., Mikšovský, P., Štěpánková, O., Zídek, J. 2000 KDD in Telecommunications, detail

Lažanský, J., Mařík, V., Štěpánková, O., Železný, F. 2000 Velká všeobecná encyklopedie (a-bag), detail

Lažanský, J., Mařík, V., Štěpánková, O., Železný, F. 2000 Velká všeobecná encyklopedie (bah-bug), detail

Lažanský, J., Mařík, V., Štěpánková, O., Železný, F. 2000 Velká všeobecná encyklopedie (bur-doz), detail

Železný, F., Mikšovský, P., Štěpánková, O., Zídek, J. 2000 ILP for Automated Telephony, detail

Mikšovský, P., Železný, F., Štěpánková, O., Pěchouček, M. 1999 Financial Data Challenge, detail

Mikšovský, P., Železný, F., Štěpánková, O., Pěchouček, M. 1999 Comparison of Selected Data Mining Techniques on Real-Life Data, detail

Železný, F., Lavrač, N. 1999 Analysis of Heuristic Rule Evaluation Measures, detail

Železný, F. 1999 DNA Computing, detail

Železný, F., Lavrač, N. 1999 Analysis of Heuristic Rule Evaluation Measures, detail

Železný, F. 1999 DNA algoritmy, detail

Železný, F. 1999 ILP Experiments for PKDD '99, detail

Mikšovský, P., Železný, F. 1999 Metody a aplikace KDD, detail

Jiřina, M. 1998 Initial Setting of Weights in the Kohonen Maps, detail

Železný, F. 1998 DNA algoritmy, detail

Rozinek, J. 1996 Predikce časových řad neuronovými sítěmi, detail