An Algorithm to Calculate the <i>p</i>-Value of the Monge-Elkan Distance.

Filip Zelezný https://orcid.org/0000-0001-9780-3376

Petr Rysavý Filip Zelezný An Algorithm to Calculate the <i>p</i>-Value of the Monge-Elkan Distance. 797-812 2025 32 J. Comput. Biol. 8 https://doi.org/10.1089/cmb.2024.0854 db/journals/jcb/jcb32.html#RysavyZ25 streams/journals/jcb

Petr Rysavý Filip Zelezný Reference-free phylogeny from sequencing data. 2023 January 16 BioData Min. 1 https://doi.org/10.1186/s13040-023-00329-x db/journals/biodatamining/biodatamining16.html#RysavyZ23

Gustav Sír Filip Zelezný Ondrej Kuzelka Lifted Relational Neural Networks: From Graphs to Deep Relational Learning. 308-336 2023 Compendium of Neurosymbolic Artificial Intelligence https://doi.org/10.3233/FAIA230147 series/faia/369 db/series/faia/faia369.html#SirZK23

Gustav Sourek Filip Zelezný Ondrej Kuzelka Beyond graph neural networks with lifted relational neural networks. 1695-1738 2021 110 Mach. Learn. 7 https://doi.org/10.1007/s10994-021-06017-3 db/journals/ml/ml110.html#SourekZK21

Gustav Sourek Filip Zelezný Ondrej Kuzelka Lossless Compression of Structured Convolutional Models via Lifting. 2021 ICLR https://openreview.net/forum?id=oxnp2q-PGL4 conf/iclr/2021 db/conf/iclr/iclr2021.html#SourekZK21 Jáchym Barvínek Timothy van Bremen Yuyi Wang 0001 Filip Zelezný Ondrej Kuzelka Automatic Conjecturing of P-Recursions Using Lifted Inference. 17-25 2021 ILP https://doi.org/10.1007/978-3-030-97454-1_2 conf/ilp/2021 db/conf/ilp/ilp2021.html#BarvinekB0ZK21

Matej Uhrín Gustav Sourek Ondrej Hubácek Filip Zelezný Optimal sports betting strategies in practice: an experimental review. 2021 abs/2107.08827 CoRR https://arxiv.org/abs/2107.08827 db/journals/corr/corr2107.html#abs-2107-08827

Frantisek Malinka Filip Zelezný Jirí Kléma Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator. 13 2020 13 BioData Min. 1 https://doi.org/10.1186/s13040-020-00219-6 https://www.wikidata.org/entity/Q99240802 db/journals/biodatamining/biodatamining13.html#MalinkaZK20

Dimitar Kazakov Filip Zelezný Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019). 1287-1288 2020 109 Mach. Learn. 7 https://doi.org/10.1007/s10994-020-05891-7 db/journals/ml/ml109.html#KazakovZ20

Gustav Sourek Filip Zelezný Ondrej Kuzelka Beyond Graph Neural Networks with Lifted Relational Neural Networks. 2020 abs/2007.06286 CoRR https://arxiv.org/abs/2007.06286 db/journals/corr/corr2007.html#abs-2007-06286

Gustav Sourek Filip Zelezný Lossless Compression of Structured Convolutional Models via Lifting. 2020 abs/2007.06567 CoRR https://arxiv.org/abs/2007.06567 db/journals/corr/corr2007.html#abs-2007-06567

Gustav Sourek Filip Zelezný Ondrej Kuzelka Learning with Molecules beyond Graph Neural Networks. 2020 abs/2011.03488 CoRR https://arxiv.org/abs/2011.03488 db/journals/corr/corr2011.html#abs-2011-03488

Petr Rysavý Filip Zelezný Estimating sequence similarity from read sets for clustering next-generation sequencing data. 1-23 2019 33 Data Min. Knowl. Discov. 1 https://doi.org/10.1007/s10618-018-0584-8 https://www.wikidata.org/entity/Q129411252 db/journals/datamine/datamine33.html#RysavyZ19

Ondrej Hubácek Gustav Sourek Filip Zelezný Learning to predict soccer results from relational data with gradient boosted trees. 29-47 2019 108 Mach. Learn. 1 https://doi.org/10.1007/s10994-018-5704-6 https://www.wikidata.org/entity/Q129902831 db/journals/ml/ml108.html#HubacekSZ19

Gustav Sourek Filip Zelezný Efficient Extraction of Network Event Types from NetFlows. 8954914:1-8954914:18 2019 2019 Secur. Commun. Networks https://doi.org/10.1155/2019/8954914 db/journals/scn/scn2019.html#SourekZ19

Eliska Dvoráková Sajal Kumar Jirí Kléma Filip Zelezný Karel Drbal Mingzhou Song 0001 Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout. 55-62 2019 ICBRA https://doi.org/10.1145/3383783.3383793 conf/icbra/2019 db/conf/icbra/icbra2019.html#DvorakovaKKZD019 Gustav Sourek Filip Zelezný Ondrej Kuzelka Scaling up relational templated neural models. 2019 NeSy@IJCAI conf/nesy/2019 db/conf/nesy/nesy2019.html#SourekZK19 Martin Svatos Gustav Sourek Filip Zelezný Revisiting Neural-Symbolic Learning Cycle. 2019 NeSy@IJCAI conf/nesy/2019 db/conf/nesy/nesy2019.html#SvatosSZ19

Gustav Sourek Vojtech Aschenbrenner Filip Zelezný Steven Schockaert Ondrej Kuzelka Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. 69-100 2018 62 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1.11203 https://www.wikidata.org/entity/Q129511716 db/journals/jair/jair62.html#SourekAZSK18

Ondrej Hubácek Gustav Sourek Filip Zelezný Lifted Relational Team Embeddings for Predictive Sports Analytics. 84-91 2018 ILP Up-and-Coming / Short Papers https://ceur-ws.org/Vol-2206/paper7.pdf conf/ilp/2018ucs db/conf/ilp/ucs2018.html#HubacekSZ18 Ondrej Hubácek Gustav Sourek Filip Zelezný Deep Learning from Spatial Relations for Soccer Pass Prediction. 159-166 2018 MLSA@PKDD/ECML https://doi.org/10.1007/978-3-030-17274-9_14 conf/pkdd/2018mlsa db/conf/pkdd/mlsa2018.html#HubacekSZ18a Petr Rysavý Filip Zelezný Estimating Sequence Similarity from Contig Sets. 272-283 2017 IDA https://doi.org/10.1007/978-3-319-68765-0_23 conf/ida/2017 db/conf/ida/ida2017.html#RysavyZ17 Jáchym Barvínek Filip Zelezný A First-Order Axiomatization for Transition Learning with Rich Constraints. 1-5 2017 ILP (Late Breaking Papers) https://ceur-ws.org/Vol-2085/barvinekLBP-ILP2017.pdf conf/ilp/2017lb db/conf/ilp/ilp2017lb.html#BarvinekZ17 Gustav Sourek Martin Svatos Filip Zelezný Steven Schockaert Ondrej Kuzelka Stacked Structure Learning for Lifted Relational Neural Networks. 140-151 2017 ILP https://doi.org/10.1007/978-3-319-78090-0_10 conf/ilp/2017 db/conf/ilp/ilp2017.html#SourekSZSK17 Martin Svatos Gustav Sourek Filip Zelezný Steven Schockaert Ondrej Kuzelka Pruning Hypothesis Spaces Using Learned Domain Theories. 152-168 2017 ILP https://doi.org/10.1007/978-3-319-78090-0_11 conf/ilp/2017 db/conf/ilp/ilp2017.html#SvatosSZSK17

Petr Rysavý Filip Zelezný Estimating Sequence Similarity from Read Sets for Clustering Next-Generation Sequencing data. 2017 abs/1705.06125 CoRR http://arxiv.org/abs/1705.06125 db/journals/corr/corr1705.html#RysavyZ17

Gustav Sourek Martin Svatos Filip Zelezný Steven Schockaert Ondrej Kuzelka Stacked Structure Learning for Lifted Relational Neural Networks. 2017 abs/1710.02221 CoRR http://arxiv.org/abs/1710.02221 db/journals/corr/corr1710.html#abs-1710-02221

Radomír Cernoch Ondrej Kuzelka Filip Zelezný Polynomial and Extensible Solutions in Lock-Chart Solving. 923-941 2016 30 Appl. Artif. Intell. 10 https://doi.org/10.1080/08839514.2017.1279110 https://www.wikidata.org/entity/Q58298219 db/journals/aai/aai30.html#CernochKZ16

Petr Rysavý Filip Zelezný Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. 204-214 2016 IDA https://doi.org/10.1007/978-3-319-46349-0_18 conf/ida/2016 db/conf/ida/ida2016.html#RysavyZ16 Gustav Sourek Suresh Manandhar Filip Zelezný Steven Schockaert Ondrej Kuzelka Learning Predictive Categories Using Lifted Relational Neural Networks. 108-119 2016 ILP https://doi.org/10.1007/978-3-319-63342-8_9 conf/ilp/2016 db/conf/ilp/ilp2016.html#SourekMZSK16

Matej Holec Ondrej Kuzelka Filip Zelezný Novel gene sets improve set-level classification of prokaryotic gene expression data. 348:1-348:8 2015 16 BMC Bioinform. https://doi.org/10.1186/s12859-015-0786-7 https://www.wikidata.org/entity/Q31012579 db/journals/bmcbi/bmcbi16.html#HolecKZ15

David A. Monge Matej Holec Filip Zelezný Carlos García Garino Ensemble learning of runtime prediction models for gene-expression analysis workflows. 1317-1329 2015 18 Clust. Comput. 4 https://doi.org/10.1007/s10586-015-0481-5 db/journals/cluster/cluster18.html#MongeHZG15

Gustav Sourek Ondrej Kuzelka Filip Zelezný Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. 73-86 2015 AIMS https://doi.org/10.1007/978-3-319-20034-7_9 conf/aims/2015 db/conf/aims/aims2015.html#SourekKZ15 Gustav Sourek Vojtech Aschenbrenner Filip Zelezný Ondrej Kuzelka Lifted Relational Neural Networks. 2015 CoCo@NIPS https://ceur-ws.org/Vol-1583/CoCoNIPS_2015_paper_7.pdf conf/nips/2015coco db/conf/nips/coco2015.html#SourekAZK15

Gustav Sourek Vojtech Aschenbrenner Filip Zelezný Ondrej Kuzelka Lifted Relational Neural Networks. 2015 abs/1508.05128 CoRR http://arxiv.org/abs/1508.05128 db/journals/corr/corr1508.html#SourekAZK15

Ondrej Kuzelka Andrea Szabóová Filip Zelezný A method for reduction of examples in relational learning. 255-281 2014 42 J. Intell. Inf. Syst. 2 https://doi.org/10.1007/s10844-013-0294-z db/journals/jiis/jiis42.html#KuzelkaSZ14

Fabrizio Riguzzi Filip Zelezný Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). 1-2 2014 94 Mach. Learn. 1 https://doi.org/10.1007/s10994-013-5398-8 https://www.wikidata.org/entity/Q58063672 db/journals/ml/ml94.html#RiguzziZ14

David A. Monge Matej Holec Filip Zelezný Carlos García Garino Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. 83-97 2014 CARLA https://doi.org/10.1007/978-3-662-45483-1_7 conf/carla/2014 db/conf/carla/carla2014.html#MongeHZG14

Roman Barták Radomír Cernoch Ondrej Kuzelka Filip Zelezný Formulating the template ILP consistency problem as a constraint satisfaction problem. 144-165 2013 18 Constraints An Int. J. 2 https://doi.org/10.1007/s10601-013-9141-7 db/journals/constraints/constraints18.html#BartakCKZ13

Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. 291-293 2013 27 Data Min. Knowl. Discov. 3 https://doi.org/10.1007/s10618-013-0332-z https://www.wikidata.org/entity/Q58012245 db/journals/datamine/datamine27.html#BlockeelKNZ13

Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. 1-3 2013 93 Mach. Learn. 1 https://doi.org/10.1007/s10994-013-5400-5 db/journals/ml/ml93.html#BlockeelKNZ13

Gustav Sourek Ondrej Kuzelka Filip Zelezný Predicting Top-k Trends on Twitter using Graphlets and Time Features. 52-57 2013 ILP (Late Breaking Papers) https://ceur-ws.org/Vol-1187/paper-09.pdf conf/ilp/2013lbr db/conf/ilp/ilp2013lbp.html#SourekKZ13 Fabrizio Riguzzi Filip Zelezný Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, Dubrovnik, Croatia, September 17-19, 2012 CEUR-WS.org CEUR Workshop Proceedings 975 2013 https://ceur-ws.org/Vol-975 https://nbn-resolving.org/urn:nbn:de:0074-975-8 ILP (Late Breaking Papers) db/conf/ilp/ilp2012lbp.html Fabrizio Riguzzi Filip Zelezný Inductive Logic Programming - 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers 2013 Springer Lecture Notes in Computer Science 7842 https://doi.org/10.1007/978-3-642-38812-5 978-3-642-38811-8 ILP db/conf/ilp/ilp2012.html Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I 2013 Springer Lecture Notes in Computer Science 8188 https://doi.org/10.1007/978-3-642-40988-2 978-3-642-40987-5 ECML/PKDD (1) db/conf/pkdd/pkdd2013-1.html Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II 2013 Springer Lecture Notes in Computer Science 8189 https://doi.org/10.1007/978-3-642-40991-2 978-3-642-40990-5 ECML/PKDD (2) db/conf/pkdd/pkdd2013-2.html Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III 2013 Springer Lecture Notes in Computer Science 8190 https://doi.org/10.1007/978-3-642-40994-3 978-3-642-40993-6 ECML/PKDD (3) db/conf/pkdd/pkdd2013-3.html

Matej Holec Jirí Kléma Filip Zelezný Jakub Tolar Comparative evaluation of set-level techniques in predictive classification of gene expression samples. S15 2012 13 BMC Bioinform. S-10 https://doi.org/10.1186/1471-2105-13-S10-S15 https://www.wikidata.org/entity/Q34324662 db/journals/bmcbi/bmcbi13S.html#HolecKZT12

Andrea Szabóová Ondrej Kuzelka Filip Zelezný Jakub Tolar Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search. S3 2012 13 BMC Bioinform. S-10 https://doi.org/10.1186/1471-2105-13-S10-S3 https://www.wikidata.org/entity/Q34324696 db/journals/bmcbi/bmcbi13S.html#SzaboovaKZT12

Ondrej Kuzelka Andrea Szabóová Filip Zelezný Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins. 1-4 2012 BIBM https://doi.org/10.1109/BIBM.2012.6392699 https://doi.ieeecomputersociety.org/10.1109/BIBM.2012.6392699 conf/bibm/2012 db/conf/bibm/bibm2012.html#KuzelkaSZ12 Andrea Szabóová Ondrej Kuzelka Filip Zelezný Prediction of antimicrobial activity of peptides using relational machine learning. 575-580 2012 BIBM Workshops https://doi.org/10.1109/BIBMW.2012.6470203 https://doi.ieeecomputersociety.org/10.1109/BIBMW.2012.6470203 conf/bibm/2012w db/conf/bibm/bibmw2012.html#SzaboovaKZ12 Ondrej Kuzelka Andrea Szabóová Filip Zelezný Relational Learning with Polynomials. 1145-1150 2012 conf/ictai/2012 ICTAI https://doi.org/10.1109/ICTAI.2012.163 https://doi.ieeecomputersociety.org/10.1109/ICTAI.2012.163 db/conf/ictai/ictai2012.html#KuelkaSe12 Ondrej Kuzelka Andrea Szabóová Filip Zelezný Bounded Least General Generalization. 116-129 2012 ILP https://doi.org/10.1007/978-3-642-38812-5_9 conf/ilp/2012 db/conf/ilp/ilp2012.html#KuzelkaSZ12 Ondrej Kuzelka Andrea Szabóová Filip Zelezný Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses. 17-32 2012 NFMCP https://doi.org/10.1007/978-3-642-37382-4_2 conf/pkdd/2012nfmcp db/conf/pkdd/nfmcp2012.html#KuzelkaSZ12

Hendrik Blockeel Kristian Kersting Siegfried Nijssen Filip Zelezný A Revised Publication Model for ECML PKDD http://arxiv.org/abs/1207.6324 2012 CoRR abs/1207.6324 db/journals/corr/corr1207.html#abs-1207-6324

Jan Zahálka Filip Zelezný An experimental test of Occam's razor in classification. 475-481 2011 82 Mach. Learn. 3 https://doi.org/10.1007/s10994-010-5227-2 db/journals/ml/ml82.html#ZahalkaZ11

Ondrej Kuzelka Filip Zelezný Block-wise construction of tree-like relational features with monotone reducibility and redundancy. 163-192 2011 83 Mach. Learn. 2 https://doi.org/10.1007/s10994-010-5208-5 db/journals/ml/ml83.html#KuzelkaZ11

Monika Záková Petr Kremen Filip Zelezný Nada Lavrac Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning. 253-264 2011 8 IEEE Trans Autom. Sci. Eng. 2 https://doi.org/10.1109/TASE.2010.2070838 db/journals/tase/tase8.html#ZakovaKZL11

Ondrej Kuzelka Andrea Szabóová Filip Zelezný Gaussian logic and its applications in bioinformatics. 496-498 2011 BCB https://doi.org/10.1145/2147805.2147881 conf/bcb/2011 db/conf/bcb/bcb2011.html#KuzelkaSZ11 Jiri Belohradsky David A. Monge Filip Zelezný Matej Holec Carlos García Garino Template-based semi-automatic workflow construction for gene expression data analysis. 1-6 2011 CBMS https://doi.org/10.1109/CBMS.2011.5999046 https://doi.ieeecomputersociety.org/10.1109/CBMS.2011.5999046 conf/cbms/2011 db/conf/cbms/cbms2011.html#BelohradskyMZHG11 Radomír Cernoch Filip Zelezný Subgroup Discovery Using Bump Hunting on Multi-relational Histograms. 76-90 2011 ILP https://doi.org/10.1007/978-3-642-31951-8_11 conf/ilp/2011 db/conf/ilp/ilp2011.html#CernochZ12 Filip Zelezný Satisfiability Machines. 113-120 2011 ILP (Late Breaking Papers) https://doi.org/10.1142/9781783265091_0014 conf/ilp/2011lbp db/conf/ilp/ilp2011lbp.html#Zelezny11 Jirí Kléma Matej Holec Filip Zelezný Jakub Tolar Comparative Evaluation of Set-Level Techniques in Microarray Classification. 274-285 2011 ISBRA https://doi.org/10.1007/978-3-642-21260-4_27 conf/isbra/2011 db/conf/isbra/isbra2011.html#KlemaHZT11 Andrea Szabóová Ondrej Kuzelka Sergio Morales E. Filip Zelezný Jakub Tolar Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method. 358-367 2011 ISBRA https://doi.org/10.1007/978-3-642-21260-4_34 conf/isbra/2011 db/conf/isbra/isbra2011.html#SzaboovaKEZT11 Ondrej Kuzelka Andrea Szabóová Matej Holec Filip Zelezný Gaussian Logic for Predictive Classification. 277-292 2011 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-23783-6_18 conf/pkdd/2011-2 db/conf/pkdd/pkdd2011-2.html#KuzelkaSHZ11 Roman Barták Ondrej Kuzelka Filip Zelezný Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. 2010 Abstraction, Reformulation, and Approximation http://aaai.org/ocs/index.php/WS/AAAIW10/paper/view/2065 conf/aaai/2010abstr db/conf/aaai/abstr2010.html#BartakKZ10 Roman Barták Ondrej Kuzelka Filip Zelezný Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. 2010 FLAIRS http://www.aaai.org/ocs/index.php/FLAIRS/2010/paper/view/1214 conf/flairs/2010 db/conf/flairs/flairs2010.html#BartakKZ10 Ondrej Kuzelka Filip Zelezný Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. 138-145 2010 ILP https://doi.org/10.1007/978-3-642-21295-6_17 conf/ilp/2010 db/conf/ilp/ilp2010.html#KuzelkaZ10 Radomír Cernoch Filip Zelezný Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans. 269-276 2010 ILP https://doi.org/10.1007/978-3-642-21295-6_29 conf/ilp/2010 db/conf/ilp/ilp2010.html#CernochZ10 Filip Zelezný Ondrej Kuzelka Taming the Complexity of Inductive Logic Programming. 132-140 2010 SOFSEM https://doi.org/10.1007/978-3-642-11266-9_11 conf/sofsem/2010 db/conf/sofsem/sofsem2010.html#ZeleznyK10

Filip Zelezný Nada Lavrac Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). 1-2 2009 76 Mach. Learn. 1 https://doi.org/10.1007/s10994-009-5120-z db/journals/ml/ml76.html#ZeleznyL09

Ondrej Kuzelka Filip Zelezný Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. 569-576 2009 ICML https://doi.org/10.1145/1553374.1553448 conf/icml/2009 db/conf/icml/icml2009.html#KuzelkaZ09 Matej Holec Filip Zelezný Jirí Kléma Jakub Tolar Integrating Multiple-Platform Expression Data through Gene Set Features. 5-17 2009 ISBRA https://doi.org/10.1007/978-3-642-01551-9_2 conf/isbra/2009 db/conf/isbra/isbra2009.html#HolecZKT09 Bettina Berendt Dunja Mladenic Marco de Gemmis Giovanni Semeraro Myra Spiliopoulou Gerd Stumme Vojtech Svátek Filip Zelezný Knowledge Discovery Enhanced with Semantic and Social Information 220 2009 https://doi.org/10.1007/978-3-642-01891-6 978-3-642-01890-9 Studies in Computational Intelligence db/series/sci/sci220.html

Ondrej Kuzelka Filip Zelezný A Restarted Strategy for Efficient Subsumption Testing. 95-109 2008 89 Fundam. Informaticae 1 http://content.iospress.com/articles/fundamenta-informaticae/fi89-1-06 db/journals/fuin/fuin89.html#KuzelkaZ08

Jirí Kléma Lenka Nováková Filip Karel Olga Stepánková Filip Zelezný Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. 3-15 2008 38 IEEE Trans. Syst. Man Cybern. Part C 1 https://doi.org/10.1109/TSMCC.2007.906055 db/journals/tsmc/tsmcc38.html#KlemaNKSZ08

Igor Trajkovski Filip Zelezný Nada Lavrac Jakub Tolar Learning Relational Descriptions of Differentially Expressed Gene Groups. 16-25 2008 38 IEEE Trans. Syst. Man Cybern. Part C 1 https://doi.org/10.1109/TSMCC.2007.906059 db/journals/tsmc/tsmcc38.html#TrajkovskiZLT08

Ondrej Kuzelka Filip Zelezný Fast estimation of first-order clause coverage through randomization and maximum likelihood. 504-511 2008 ICML https://doi.org/10.1145/1390156.1390220 https://www.wikidata.org/entity/Q130965507 conf/icml/2008 db/conf/icml/icml2008.html#KuzelkaZ08 Pavel Smrz Jana Silhavá Jirí Kléma Filip Zelezný Gene expression data mining guided by genomic background knowledge. 101-111 2008 SOFSEM (2) conf/sofsem/2008-2 db/conf/sofsem/sofsem2008srf.html#SmrzSKZ08 Filip Zelezný Nada Lavrac Inductive Logic Programming, 18th International Conference, ILP 2008, Prague, Czech Republic, September 10-12, 2008, Proceedings 5194 2008 978-3-540-85927-7 ILP Lecture Notes in Computer Science Springer https://doi.org/10.1007/978-3-540-85928-4 db/conf/ilp/ilp2008.html Monika Záková Filip Zelezný Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. 798-805 2007 conf/ecml/2007 ECML https://doi.org/10.1007/978-3-540-74958-5_82 db/conf/ecml/ecml2007.html#ZakovaZ07

Filip Zelezný Nada Lavrac Propositionalization-based relational subgroup discovery with RSD. 33-63 2006 62 Mach. Learn. 1-2 https://doi.org/10.1007/s10994-006-5834-0 db/journals/ml/ml62.html#ZeleznyL06

Filip Zelezný Ashwin Srinivasan 0001 C. David Page Jr. Randomised restarted search in ILP. 183-208 2006 64 Mach. Learn. 1-3 https://doi.org/10.1007/s10994-006-7733-9 db/journals/ml/ml64.html#ZeleznySP06

Igor Trajkovski Filip Zelezný Jakub Tolar Nada Lavrac Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. 86-96 2006 conf/complife/2006 CompLife https://doi.org/10.1007/11875741_9 db/conf/complife/complife2006.html#TrajkovskiZTL06 Aline Paes Filip Zelezný Gerson Zaverucha C. David Page Jr. Ashwin Srinivasan 0001 ILP Through Propositionalization and Stochastic k-Term DNF Learning. 379-393 2006 conf/ilp/2006 ILP https://doi.org/10.1007/978-3-540-73847-3_35 db/conf/ilp/ilp2006.html#PaesZZPS06 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. 439-453 2006 conf/ilp/2006 ILP https://doi.org/10.1007/978-3-540-73847-3_39 db/conf/ilp/ilp2006.html#ZakovaZGTLKM06 Igor Trajkovski Filip Zelezný Nada Lavrac Jakub Tolar Relational Descriptive Analysis of Gene Expression Data. 184-195 2006 STAIRS conf/stairs/2006 db/conf/stairs/stairs2006.html#TrajkovskiZLT06 http://www.booksonline.iospress.nl/Content/View.aspx?piid=1880 Jan Tozicka Filip Zelezný Michal Pechoucek Modelling of Agents' Behavior with Semi-collaborative Meta-agents. 572-575 2005 conf/ceemas/2005 CEEMAS https://doi.org/10.1007/11559221_63 db/conf/ceemas/ceemas2005.html#TozickaZP05 Martin Rehák Jan Tozicka Michal Pechoucek Filip Zelezný Milan Rollo An Abstract Architecture for Computational Reflection in Multi-Agent Systems. 128-131 2005 conf/iat/2005 IAT https://doi.org/10.1109/IAT.2005.35 https://doi.ieeecomputersociety.org/10.1109/IAT.2005.35 db/conf/iat/iat2005.html#RehakTPZR05 Filip Zelezný Efficient construction of relational features. 2005 ICMLA https://doi.org/10.1109/ICMLA.2005.27 https://doi.ieeecomputersociety.org/10.1109/ICMLA.2005.27 conf/icmla/2005 db/conf/icmla/icmla2005.html#Zelezny05 Filip Zelezný Efficient Sampling in Relational Feature Spaces. 397-413 2005 conf/ilp/2005 ILP https://doi.org/10.1007/11536314_24 db/conf/ilp/ilp2005.html#Zelezny05

Dragan Gamberger Nada Lavrac Filip Zelezný Jakub Tolar Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. 269-284 2004 37 J. Biomed. Informatics 4 https://doi.org/10.1016/j.jbi.2004.07.007 https://www.wikidata.org/entity/Q45966629 db/journals/jbi/jbi37.html#GambergerLZT04

Filip Zelezný Efficiency-conscious propositionalization for relational learning. 275-292 2004 40 Kybernetika 3 http://www.kybernetika.cz/content/2004/3/275 db/journals/kybernetika/kybernetika40.html#Zelezny04

Nada Lavrac Filip Zelezný Saso Dzeroski Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. 71-88 2004 conf/dagstuhl/2004lpd Local Pattern Detection https://doi.org/10.1007/11504245_5 db/conf/dagstuhl/lpd2004.html#LavracZD04 Filip Zelezný Ashwin Srinivasan 0001 David Page A Monte Carlo Study of Randomised Restarted Search in ILP. 341-358 https://doi.org/10.1007/978-3-540-30109-7_25 2004 conf/ilp/2004 ILP db/conf/ilp/ilp2004.html#ZeleznySP04 Mark-A. Krogel Simon Alan Rawles Filip Zelezný Peter A. Flach Nada Lavrac Stefan Wrobel Comparative Evaluation of Approaches to Propositionalization. 197-214 https://doi.org/10.1007/978-3-540-39917-9_14 2003 conf/ilp/2003 ILP db/conf/ilp/ilp2003.html#KrogelRZFLW03 Nada Lavrac Filip Zelezný Peter A. Flach RSD: Relational Subgroup Discovery through First-Order Feature Construction. 149-165 2002 conf/ilp/2002 ILP https://doi.org/10.1007/3-540-36468-4_10 db/conf/ilp/ilp2002.html#LavracZF02 Filip Zelezný Ashwin Srinivasan 0001 David Page Lattice-Search Runtime Distributions May Be Heavy-Tailed. 333-345 2002 conf/ilp/2002 ILP https://doi.org/10.1007/3-540-36468-4_22 db/conf/ilp/ilp2002.html#ZeleznySP02 Filip Zelezný Jirí Zídgek Olga Stepánková A Learning System for Decision Support in Telecommunications. 88-101 2002 conf/software/2002 Soft-Ware https://doi.org/10.1007/3-540-46019-5_7 db/conf/software/software2002.html#ZeleznyZS02 Filip Zelezný Learning Functions from Imperfect Positive Data. 248-260 2001 conf/ilp/2001 ILP https://doi.org/10.1007/3-540-44797-0_21 db/conf/ilp/ilp2001.html#Zelezny01 Filip Zelezný Petr Miksovský Olga Stepánková Jirí Zídek ILP for Automated Telephony. 2000 conf/ilp/2000wip ILP Work-in-progress reports https://ceur-ws.org/Vol-35/14-ZeleznyMiksovskyStepankovaZidek.ps db/conf/ilp/ilp2000wip.html#ZeleznyMSZ00 Vojtech Aschenbrenner Roman Barták Jáchym Barvínek Jiri Belohradsky Bettina Berendt Hendrik Blockeel Timothy van Bremen Radomír Cernoch Marco DegemmisMarco de Gemmis Karel Drbal Eliska Dvoráková Saso Dzeroski Sergio Morales E. Peter A. Flach Dragan Gamberger Javier A. García-Sedano Carlos García Garino Matej Holec Ondrej Hubácek Filip Karel Dimitar Kazakov Kristian Kersting Jirí Kléma Petr Kremen Mark-A. Krogel Sajal Kumar Ondrej Kuzelka Nada Lavrac Frantisek Malinka Suresh Manandhar Petr Miksovský Dunja Mladenic Javier Molina David A. Monge Siegfried Nijssen Lenka Nováková Aline Paes David PageC. David Page Jr. Michal Pechoucek Simon Alan Rawles Martin Rehák Fabrizio Riguzzi Milan Rollo Petr Rysavý Steven Schockaert Giovanni Semeraro Jana Silhavá Gustav Sír Pavel Smrz Mingzhou Song 0001 Gustav Sourek Myra Spiliopoulou Ashwin Srinivasan 0001 Olga Stepánková Gerd Stumme Vojtech Svátek Martin Svatos Andrea Szabóová Cyril Masia Tissot Jakub Tolar Jan Tozicka Igor Trajkovski Matej Uhrín Yuyi Wang 0001 Stefan Wrobel Jan Zahálka Monika Záková Gerson Zaverucha Jirí Zídek Jirí Zídgek