Filip Zelezný

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 28

Top Topics

Relational Learning

Logic Programming

Top Venues

ILP (Late Breaking Papers)

Publications

Petr Rysavý, Filip Zelezný
Reference-free phylogeny from sequencing data. BioData Min. 16 (1) (2023)
Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka
Automatic Conjecturing of P-Recursions Using Lifted Inference. ILP (2021)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Lossless Compression of Structured Convolutional Models via Lifting. ICLR (2021)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Beyond graph neural networks with lifted relational neural networks. Mach. Learn. 110 (7) (2021)
Matej Uhrín, Gustav Sourek, Ondrej Hubácek, Filip Zelezný
Optimal sports betting strategies in practice: an experimental review. CoRR (2021)
Gustav Sourek, Filip Zelezný
Lossless Compression of Structured Convolutional Models via Lifting. CoRR (2020)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Beyond Graph Neural Networks with Lifted Relational Neural Networks. CoRR (2020)
Frantisek Malinka, Filip Zelezný, Jirí Kléma
Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator. BioData Min. 13 (1) (2020)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Learning with Molecules beyond Graph Neural Networks. CoRR (2020)
Dimitar Kazakov, Filip Zelezný
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019). Mach. Learn. 109 (7) (2020)
Petr Rysavý, Filip Zelezný
Estimating sequence similarity from read sets for clustering next-generation sequencing data. Data Min. Knowl. Discov. 33 (1) (2019)
Martin Svatos, Gustav Sourek, Filip Zelezný
Revisiting Neural-Symbolic Learning Cycle. NeSy@IJCAI (2019)
Gustav Sourek, Filip Zelezný
Efficient Extraction of Network Event Types from NetFlows. Secur. Commun. Networks 2019 (2019)
Gustav Sourek, Filip Zelezný, Ondrej Kuzelka
Scaling up relational templated neural models. NeSy@IJCAI (2019)
Eliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song
Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout. ICBRA (2019)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Learning to predict soccer results from relational data with gradient boosted trees. Mach. Learn. 108 (1) (2019)
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. J. Artif. Intell. Res. 62 (2018)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Lifted Relational Team Embeddings for Predictive Sports Analytics. ILP Up-and-Coming / Short Papers (2018)
Ondrej Hubácek, Gustav Sourek, Filip Zelezný
Deep Learning from Spatial Relations for Soccer Pass Prediction. MLSA@PKDD/ECML (2018)
Petr Rysavý, Filip Zelezný
Estimating Sequence Similarity from Contig Sets. IDA (2017)
Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Stacked Structure Learning for Lifted Relational Neural Networks. CoRR (2017)
Jáchym Barvínek, Filip Zelezný
A First-Order Axiomatization for Transition Learning with Rich Constraints. ILP (Late Breaking Papers) (2017)
Petr Rysavý, Filip Zelezný
Estimating Sequence Similarity from Read Sets for Clustering Next-Generation Sequencing data. CoRR (2017)
Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Pruning Hypothesis Spaces Using Learned Domain Theories. ILP (2017)
Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Stacked Structure Learning for Lifted Relational Neural Networks. ILP (2017)
Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka
Learning Predictive Categories Using Lifted Relational Neural Networks. ILP (2016)
Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný
Polynomial and Extensible Solutions in Lock-Chart Solving. Appl. Artif. Intell. 30 (10) (2016)
Petr Rysavý, Filip Zelezný
Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. IDA (2016)
Gustav Sourek, Ondrej Kuzelka, Filip Zelezný
Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic. AIMS (2015)
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka
Lifted Relational Neural Networks. CoCo@NIPS (2015)
Matej Holec, Ondrej Kuzelka, Filip Zelezný
Novel gene sets improve set-level classification of prokaryotic gene expression data. BMC Bioinform. 16 (2015)
Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka
Lifted Relational Neural Networks. CoRR (2015)
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
Ensemble learning of runtime prediction models for gene-expression analysis workflows. Clust. Comput. 18 (4) (2015)
David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino
Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows. CARLA (2014)
Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný
A method for reduction of examples in relational learning. J. Intell. Inf. Syst. 42 (2) (2014)
Fabrizio Riguzzi, Filip Zelezný
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). Mach. Learn. 94 (1) (2014)
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
Guest editor's introduction: special issue of the ECML PKDD 2013 journal track. Mach. Learn. 93 (1) (2013)
Gustav Sourek, Ondrej Kuzelka, Filip Zelezný
Predicting Top-k Trends on Twitter using Graphlets and Time Features. ILP (Late Breaking Papers) (2013)
Roman Barták, Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný
Formulating the template ILP consistency problem as a constraint satisfaction problem. Constraints An Int. J. 18 (2) (2013)
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) (2013)
Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný
Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses. NFMCP (2012)
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 Bioinform. 13 (S-10) (2012)
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný
A Revised Publication Model for ECML PKDD CoRR (2012)
Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný
Bounded Least General Generalization. ILP (2012)
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)
Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný
Relational Learning with Polynomials. ICTAI (2012)
Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar
Comparative evaluation of set-level techniques in predictive classification of gene expression samples. BMC Bioinform. 13 (S-10) (2012)
Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný
Prediction of antimicrobial activity of peptides using relational machine learning. BIBM Workshops (2012)
Jan Zahálka, Filip Zelezný
An experimental test of Occam's razor in classification. Mach. Learn. 82 (3) (2011)
Filip Zelezný
Satisfiability Machines. ILP (Late Breaking Papers) (2011)
Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac
Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning. IEEE Trans Autom. Sci. Eng. 8 (2) (2011)
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)
Jiri Belohradsky, David A. Monge, Filip Zelezný, Matej Holec, Carlos García Garino
Template-based semi-automatic workflow construction for gene expression data analysis. CBMS (2011)
Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar
Comparative Evaluation of Set-Level Techniques in Microarray Classification. ISBRA (2011)
Radomír Cernoch, Filip Zelezný
Subgroup Discovery Using Bump Hunting on Multi-relational Histograms. ILP (2011)
Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný
Gaussian logic and its applications in bioinformatics. BCB (2011)
Ondrej Kuzelka, Filip Zelezný
Block-wise construction of tree-like relational features with monotone reducibility and redundancy. Mach. Learn. 83 (2) (2011)
Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný
Gaussian Logic for Predictive Classification. ECML/PKDD (2) (2011)
Ondrej Kuzelka, Filip Zelezný
Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. ILP (2010)
Roman Barták, Ondrej Kuzelka, Filip Zelezný
Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. Abstraction, Reformulation, and Approximation (2010)
Filip Zelezný, Ondrej Kuzelka
Taming the Complexity of Inductive Logic Programming. SOFSEM (2010)
Radomír Cernoch, Filip Zelezný
Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans. ILP (2010)
Roman Barták, Ondrej Kuzelka, Filip Zelezný
Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. FLAIRS Conference (2010)
Ondrej Kuzelka, Filip Zelezný
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. ICML (2009)
Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar
Integrating Multiple-Platform Expression Data through Gene Set Features. ISBRA (2009)
Filip Zelezný, Nada Lavrac
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). Mach. Learn. 76 (1) (2009)
Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný
Gene expression data mining guided by genomic background knowledge. SOFSEM (2) (2008)
Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný
Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors. IEEE Trans. Syst. Man Cybern. Part C 38 (1) (2008)
Ondrej Kuzelka, Filip Zelezný
Fast estimation of first-order clause coverage through randomization and maximum likelihood. ICML (2008)
Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar
Learning Relational Descriptions of Differentially Expressed Gene Groups. IEEE Trans. Syst. Man Cybern. Part C 38 (1) (2008)
Ondrej Kuzelka, Filip Zelezný
A Restarted Strategy for Efficient Subsumption Testing. Fundam. Informaticae 89 (1) (2008)
Monika Záková, Filip Zelezný
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning. ECML (2007)
Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.
Randomised restarted search in ILP. Mach. Learn. 64 (1-3) (2006)
Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data. CompLife (2006)
Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP (2006)
Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar
Relational Descriptive Analysis of Gene Expression Data. STAIRS (2006)
Filip Zelezný, Nada Lavrac
Propositionalization-based relational subgroup discovery with RSD. Mach. Learn. 62 (1-2) (2006)
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)
Jan Tozicka, Filip Zelezný, Michal Pechoucek
Modelling of Agents' Behavior with Semi-collaborative Meta-agents. CEEMAS (2005)
Filip Zelezný
Efficient Sampling in Relational Feature Spaces. ILP (2005)
Filip Zelezný
Efficient construction of relational features. ICMLA (2005)
Martin Rehák, Jan Tozicka, Michal Pechoucek, Filip Zelezný, Milan Rollo
An Abstract Architecture for Computational Reflection in Multi-Agent Systems. IAT (2005)
Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar
Induction of comprehensible models for gene expression datasets by subgroup discovery methodology. J. Biomed. Informatics 37 (4) (2004)
Filip Zelezný
Efficiency-conscious propositionalization for relational learning. Kybernetika 40 (3) (2004)
Nada Lavrac, Filip Zelezný, Saso Dzeroski
Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery. Local Pattern Detection (2004)
Filip Zelezný, Ashwin Srinivasan, David Page
A Monte Carlo Study of Randomised Restarted Search in ILP. ILP (2004)
Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel
Comparative Evaluation of Approaches to Propositionalization. ILP (2003)
Filip Zelezný, Ashwin Srinivasan, David Page
Lattice-Search Runtime Distributions May Be Heavy-Tailed. ILP (2002)
Filip Zelezný, Jirí Zídgek, Olga Stepánková
A Learning System for Decision Support in Telecommunications. Soft-Ware (2002)
Nada Lavrac, Filip Zelezný, Peter A. Flach
RSD: Relational Subgroup Discovery through First-Order Feature Construction. ILP (2002)
Filip Zelezný
Learning Functions from Imperfect Positive Data. ILP (2001)
Filip Zelezný, Petr Miksovský, Olga Stepánková, Jirí Zídek
ILP for Automated Telephony. ILP Work-in-progress reports (2000)