Filip Zelezný

According to our database, Filip Zelezný authored at least 88 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reference-free phylogeny from sequencing data.

Petr Rysavý, Filip Zelezný

BioData Min., January, 2023

Lifted Relational Neural Networks: From Graphs to Deep Relational Learning.

Gustav Sír, Filip Zelezný, Ondrej Kuzelka

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

2021

Beyond graph neural networks with lifted relational neural networks.

Gustav Sourek, Filip Zelezný, Ondrej Kuzelka

Mach. Learn., 2021

Optimal sports betting strategies in practice: an experimental review.

Matej Uhrín, Gustav Sourek, Ondrej Hubácek, Filip Zelezný

CoRR, 2021

Automatic Conjecturing of P-Recursions Using Lifted Inference.

Jáchym Barvínek, Timothy van Bremen, Yuyi Wang, Filip Zelezný, Ondrej Kuzelka

Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Lossless Compression of Structured Convolutional Models via Lifting.

Gustav Sourek, Filip Zelezný, Ondrej Kuzelka

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019).

Dimitar Kazakov, Filip Zelezný

Mach. Learn., 2020

Learning with Molecules beyond Graph Neural Networks.

Gustav Sourek, Filip Zelezný, Ondrej Kuzelka

CoRR, 2020

Lossless Compression of Structured Convolutional Models via Lifting.

Gustav Sourek, Filip Zelezný

CoRR, 2020

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.

Frantisek Malinka, Filip Zelezný, Jirí Kléma

BioData Min., 2020

2019

Efficient Extraction of Network Event Types from NetFlows.

Gustav Sourek, Filip Zelezný

Secur. Commun. Networks, 2019

Learning to predict soccer results from relational data with gradient boosted trees.

Ondrej Hubácek, Gustav Sourek, Filip Zelezný

Mach. Learn., 2019

Estimating sequence similarity from read sets for clustering next-generation sequencing data.

Petr Rysavý, Filip Zelezný

Data Min. Knowl. Discov., 2019

Revisiting Neural-Symbolic Learning Cycle.

Martin Svatos, Gustav Sourek, Filip Zelezný

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Scaling up relational templated neural models.

Gustav Sourek, Filip Zelezný, Ondrej Kuzelka

Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019

Evaluating Model-free Directional Dependency Methods on Single-cell RNA Sequencing Data with Severe Dropout.

Eliska Dvoráková, Sajal Kumar, Jirí Kléma, Filip Zelezný, Karel Drbal, Mingzhou Song

Proceedings of the ICBRA '19: 6th International Conference on Bioinformatics Research and Applications, 2019

2018

Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures.

Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka

J. Artif. Intell. Res., 2018

Deep Learning from Spatial Relations for Soccer Pass Prediction.

Ondrej Hubácek, Gustav Sourek, Filip Zelezný

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Lifted Relational Team Embeddings for Predictive Sports Analytics.

Ondrej Hubácek, Gustav Sourek, Filip Zelezný

Proceedings of the Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), 2018

2017

Pruning Hypothesis Spaces Using Learned Domain Theories.

Martin Svatos, Gustav Sourek, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Stacked Structure Learning for Lifted Relational Neural Networks.

Gustav Sourek, Martin Svatos, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

A First-Order Axiomatization for Transition Learning with Rich Constraints.

Jáchym Barvínek, Filip Zelezný

Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

Estimating Sequence Similarity from Contig Sets.

Petr Rysavý, Filip Zelezný

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016

Polynomial and Extensible Solutions in Lock-Chart Solving.

Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný

Appl. Artif. Intell., 2016

Learning Predictive Categories Using Lifted Relational Neural Networks.

Gustav Sourek, Suresh Manandhar, Filip Zelezný, Steven Schockaert, Ondrej Kuzelka

Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.

Petr Rysavý, Filip Zelezný

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

2015

Ensemble learning of runtime prediction models for gene-expression analysis workflows.

David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino

Clust. Comput., 2015

Novel gene sets improve set-level classification of prokaryotic gene expression data.

Matej Holec, Ondrej Kuzelka, Filip Zelezný

BMC Bioinform., 2015

Lifted Relational Neural Networks.

Gustav Sourek, Vojtech Aschenbrenner, Filip Zelezný, Ondrej Kuzelka

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

Learning to Detect Network Intrusion from a Few Labeled Events and Background Traffic.

Gustav Sourek, Ondrej Kuzelka, Filip Zelezný

Proceedings of the Intelligent Mechanisms for Network Configuration and Security, 2015

2014

Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012).

Fabrizio Riguzzi, Filip Zelezný

Mach. Learn., 2014

A method for reduction of examples in relational learning.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

J. Intell. Inf. Syst., 2014

Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows.

David A. Monge, Matej Holec, Filip Zelezný, Carlos García Garino

Proceedings of the High Performance Computing - First HPCLATAM, 2014

2013

Guest editor's introduction: special issue of the ECML PKDD 2013 journal track.

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný

Data Min. Knowl. Discov., 2013

Formulating the template ILP consistency problem as a constraint satisfaction problem.

Roman Barták, Radomír Cernoch, Ondrej Kuzelka, Filip Zelezný

Constraints An Int. J., 2013

Predicting Top-k Trends on Twitter using Graphlets and Time Features.

Gustav Sourek, Ondrej Kuzelka, Filip Zelezný

Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

2012

A Revised Publication Model for ECML PKDD

Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Zelezný

CoRR, 2012

Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search.

Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný, Jakub Tolar

BMC Bioinform., 2012

Comparative evaluation of set-level techniques in predictive classification of gene expression samples.

Matej Holec, Jirí Kléma, Filip Zelezný, Jakub Tolar

BMC Bioinform., 2012

Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Bounded Least General Generalization.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Relational Learning with Polynomials.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Prediction of antimicrobial activity of peptides using relational machine learning.

Andrea Szabóová, Ondrej Kuzelka, Filip Zelezný

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Extending the ball-histogram method with continuous distributions and an application to prediction of DNA-binding proteins.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning.

Monika Záková, Petr Kremen, Filip Zelezný, Nada Lavrac

IEEE Trans Autom. Sci. Eng., 2011

An experimental test of Occam's razor in classification.

Jan Zahálka, Filip Zelezný

Mach. Learn., 2011

Block-wise construction of tree-like relational features with monotone reducibility and redundancy.

Ondrej Kuzelka, Filip Zelezný

Mach. Learn., 2011

Gaussian Logic for Predictive Classification.

Ondrej Kuzelka, Andrea Szabóová, Matej Holec, Filip Zelezný

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method.

Andrea Szabóová, Ondrej Kuzelka, Sergio Morales E., Filip Zelezný, Jakub Tolar

Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Comparative Evaluation of Set-Level Techniques in Microarray Classification.

Jirí Kléma, Matej Holec, Filip Zelezný, Jakub Tolar

Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Satisfiability Machines.

Filip Zelezný

Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Subgroup Discovery Using Bump Hunting on Multi-relational Histograms.

Radomír Cernoch, Filip Zelezný

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Template-based semi-automatic workflow construction for gene expression data analysis.

Jiri Belohradsky, David A. Monge, Filip Zelezný, Matej Holec, Carlos García Garino

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Gaussian logic and its applications in bioinformatics.

Ondrej Kuzelka, Andrea Szabóová, Filip Zelezný

Proceedings of the ACM International Conference on Bioinformatics, 2011

2010

Taming the Complexity of Inductive Logic Programming.

Filip Zelezný, Ondrej Kuzelka

Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples.

Ondrej Kuzelka, Filip Zelezný

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans.

Radomír Cernoch, Filip Zelezný

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming.

Roman Barták, Ondrej Kuzelka, Filip Zelezný

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem.

Roman Barták, Ondrej Kuzelka, Filip Zelezný

Proceedings of the Abstraction, 2010

2009

Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008).

Filip Zelezný, Nada Lavrac

Mach. Learn., 2009

Integrating Multiple-Platform Expression Data through Gene Set Features.

Matej Holec, Filip Zelezný, Jirí Kléma, Jakub Tolar

Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties.

Ondrej Kuzelka, Filip Zelezný

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Learning Relational Descriptions of Differentially Expressed Gene Groups.

Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar

IEEE Trans. Syst. Man Cybern. Part C, 2008

Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors.

Jirí Kléma, Lenka Nováková, Filip Karel, Olga Stepánková, Filip Zelezný

IEEE Trans. Syst. Man Cybern. Part C, 2008

A Restarted Strategy for Efficient Subsumption Testing.

Ondrej Kuzelka, Filip Zelezný

Fundam. Informaticae, 2008

Gene expression data mining guided by genomic background knowledge.

Pavel Smrz, Jana Silhavá, Jirí Kléma, Filip Zelezný

Proceedings of the SOFSEM 2008: Theory and Practice of Computer Science, 34th Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19-25, 2008, Volume II, 2008

Fast estimation of first-order clause coverage through randomization and maximum likelihood.

Ondrej Kuzelka, Filip Zelezný

Proceedings of the Machine Learning, 2008

2007

Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.

Monika Záková, Filip Zelezný

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Randomised restarted search in ILP.

Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.

Mach. Learn., 2006

Propositionalization-based relational subgroup discovery with RSD.

Filip Zelezný, Nada Lavrac

Mach. Learn., 2006

Relational Descriptive Analysis of Gene Expression Data.

Igor Trajkovski, Filip Zelezný, Nada Lavrac, Jakub Tolar

Proceedings of the STAIRS 2006, 2006

Relational Data Mining Applied to Virtual Engineering of Product Designs.

Monika Záková, Filip Zelezný, Javier A. García-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

ILP Through Propositionalization and Stochastic k-Term DNF Learning.

Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Relational Subgroup Discovery for Descriptive Analysis of Microarray Data.

Igor Trajkovski, Filip Zelezný, Jakub Tolar, Nada Lavrac

Proceedings of the Computational Life Sciences II, 2006

2005

Efficient Sampling in Relational Feature Spaces.

Filip Zelezný

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Efficient construction of relational features.

Filip Zelezný

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

An Abstract Architecture for Computational Reflection in Multi-Agent Systems.

Martin Rehák, Jan Tozicka, Michal Pechoucek, Filip Zelezný, Milan Rollo

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Modelling of Agents' Behavior with Semi-collaborative Meta-agents.

Jan Tozicka, Filip Zelezný, Michal Pechoucek

Proceedings of the Multi-Agent Systems and Applications IV, 2005

2004

Efficiency-conscious propositionalization for relational learning.

Filip Zelezný

Kybernetika, 2004

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.

Dragan Gamberger, Nada Lavrac, Filip Zelezný, Jakub Tolar

J. Biomed. Informatics, 2004

A Monte Carlo Study of Randomised Restarted Search in ILP.

Filip Zelezný, Ashwin Srinivasan, David Page

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.

Nada Lavrac, Filip Zelezný, Saso Dzeroski

Proceedings of the Local Pattern Detection, 2004

2003

Comparative Evaluation of Approaches to Propositionalization.

Mark-A. Krogel, Simon Alan Rawles, Filip Zelezný, Peter A. Flach, Nada Lavrac, Stefan Wrobel

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

2002

A Learning System for Decision Support in Telecommunications.

Filip Zelezný, Jirí Zídgek, Olga Stepánková

Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

Lattice-Search Runtime Distributions May Be Heavy-Tailed.

Filip Zelezný, Ashwin Srinivasan, David Page

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

RSD: Relational Subgroup Discovery through First-Order Feature Construction.

Nada Lavrac, Filip Zelezný, Peter A. Flach

Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001

Learning Functions from Imperfect Positive Data.

Filip Zelezný

Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

2000

ILP for Automated Telephony.

Filip Zelezný, Petr Miksovský, Olga Stepánková, Jirí Zídek

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000