Filip Zelezný

Orcid: 0000-0001-9780-3376

According to our database1, Filip Zelezný authored at least 88 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Reference-free phylogeny from sequencing data.
BioData Min., January, 2023

Lifted Relational Neural Networks: From Graphs to Deep Relational Learning.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

2021
Beyond graph neural networks with lifted relational neural networks.
Mach. Learn., 2021

Optimal sports betting strategies in practice: an experimental review.
CoRR, 2021

Automatic Conjecturing of P-Recursions Using Lifted Inference.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021

Lossless Compression of Structured Convolutional Models via Lifting.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019).
Mach. Learn., 2020

Learning with Molecules beyond Graph Neural Networks.
CoRR, 2020

Lossless Compression of Structured Convolutional Models via Lifting.
CoRR, 2020

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator.
BioData Min., 2020

2019
Efficient Extraction of Network Event Types from NetFlows.
Secur. Commun. Networks, 2019

Learning to predict soccer results from relational data with gradient boosted trees.
Mach. Learn., 2019

Estimating sequence similarity from read sets for clustering next-generation sequencing data.
Data Min. Knowl. Discov., 2019

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

Scaling up relational templated neural models.
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.
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.
J. Artif. Intell. Res., 2018

Deep Learning from Spatial Relations for Soccer Pass Prediction.
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.
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.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

Stacked Structure Learning for Lifted Relational Neural Networks.
Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

A First-Order Axiomatization for Transition Learning with Rich Constraints.
Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

Estimating Sequence Similarity from Contig Sets.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016
Polynomial and Extensible Solutions in Lock-Chart Solving.
Appl. Artif. Intell., 2016

Learning Predictive Categories Using Lifted Relational Neural Networks.
Proceedings of the Inductive Logic Programming - 26th International Conference, 2016

Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.
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.
Clust. Comput., 2015

Novel gene sets improve set-level classification of prokaryotic gene expression data.
BMC Bioinform., 2015

Lifted Relational Neural Networks.
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.
Proceedings of the Intelligent Mechanisms for Network Configuration and Security, 2015

2014
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012).
Mach. Learn., 2014

A method for reduction of examples in relational learning.
J. Intell. Inf. Syst., 2014

Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows.
Proceedings of the High Performance Computing - First HPCLATAM, 2014

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

Formulating the template ILP consistency problem as a constraint satisfaction problem.
Constraints An Int. J., 2013

Predicting Top-k Trends on Twitter using Graphlets and Time Features.
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
CoRR, 2012

Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search.
BMC Bioinform., 2012

Comparative evaluation of set-level techniques in predictive classification of gene expression samples.
BMC Bioinform., 2012

Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Bounded Least General Generalization.
Proceedings of the Inductive Logic Programming - 22nd International Conference, 2012

Relational Learning with Polynomials.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Prediction of antimicrobial activity of peptides using relational machine learning.
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.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Automating Knowledge Discovery Workflow Composition Through Ontology-Based Planning.
IEEE Trans Autom. Sci. Eng., 2011

An experimental test of Occam's razor in classification.
Mach. Learn., 2011

Block-wise construction of tree-like relational features with monotone reducibility and redundancy.
Mach. Learn., 2011

Gaussian Logic for Predictive Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Comparative Evaluation of Set-Level Techniques in Microarray Classification.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Satisfiability Machines.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Subgroup Discovery Using Bump Hunting on Multi-relational Histograms.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Template-based semi-automatic workflow construction for gene expression data analysis.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Gaussian logic and its applications in bioinformatics.
Proceedings of the ACM International Conference on Bioinformatics, 2011

2010
Taming the Complexity of Inductive Logic Programming.
Proceedings of the SOFSEM 2010: Theory and Practice of Computer Science, 2010

Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming.
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.
Proceedings of the Abstraction, 2010

2009
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008).
Mach. Learn., 2009

Integrating Multiple-Platform Expression Data through Gene Set Features.
Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Learning Relational Descriptions of Differentially Expressed Gene Groups.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Sequential Data Mining: A Comparative Case Study in Development of Atherosclerosis Risk Factors.
IEEE Trans. Syst. Man Cybern. Part C, 2008

A Restarted Strategy for Efficient Subsumption Testing.
Fundam. Informaticae, 2008

Gene expression data mining guided by genomic background knowledge.
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.
Proceedings of the Machine Learning, 2008

2007
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Randomised restarted search in ILP.
Mach. Learn., 2006

Propositionalization-based relational subgroup discovery with RSD.
Mach. Learn., 2006

Relational Descriptive Analysis of Gene Expression Data.
Proceedings of the STAIRS 2006, 2006

Relational Data Mining Applied to Virtual Engineering of Product Designs.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

ILP Through Propositionalization and Stochastic k-Term DNF Learning.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Relational Subgroup Discovery for Descriptive Analysis of Microarray Data.
Proceedings of the Computational Life Sciences II, 2006

2005
Efficient Sampling in Relational Feature Spaces.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Efficient construction of relational features.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

An Abstract Architecture for Computational Reflection in Multi-Agent Systems.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Modelling of Agents' Behavior with Semi-collaborative Meta-agents.
Proceedings of the Multi-Agent Systems and Applications IV, 2005

2004
Efficiency-conscious propositionalization for relational learning.
Kybernetika, 2004

Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.
J. Biomed. Informatics, 2004

A Monte Carlo Study of Randomised Restarted Search in ILP.
Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery.
Proceedings of the Local Pattern Detection, 2004

2003
Comparative Evaluation of Approaches to Propositionalization.
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

2002
A Learning System for Decision Support in Telecommunications.
Proceedings of the Soft-Ware 2002: Computing in an Imperfect World, 2002

Lattice-Search Runtime Distributions May Be Heavy-Tailed.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

RSD: Relational Subgroup Discovery through First-Order Feature Construction.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001
Learning Functions from Imperfect Positive Data.
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001

2000
ILP for Automated Telephony.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000


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