| 2021 | ICLR | Lossless Compression of Structured Convolutional Models via Lifting. | Gustav Sourek, Filip Zelezn, Ondrej Kuzelka |
| 2021 | ILP | Automatic Conjecturing of P-Recursions Using Lifted Inference. | Jchym Barvnek, Timothy van Bremen, Yuyi Wang, Filip Zelezn, Ondrej Kuzelka |
| 2019 | NeSy | Scaling up relational templated neural models. | Gustav Sourek, Filip Zelezn, Ondrej Kuzelka |
| 2019 | NeSy | Revisiting Neural-Symbolic Learning Cycle. | Martin Svatos, Gustav Sourek, Filip Zelezn |
| 2018 | ILP | Lifted Relational Team Embeddings for Predictive Sports Analytics. | Ondrej Hubcek, Gustav Sourek, Filip Zelezn |
| 2017 | ILP | A First-Order Axiomatization for Transition Learning with Rich Constraints. | Jchym Barvnek, Filip Zelezn |
| 2017 | ILP | Stacked Structure Learning for Lifted Relational Neural Networks. | Gustav Sourek, Martin Svatos, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | ILP | Pruning Hypothesis Spaces Using Learned Domain Theories. | Martin Svatos, Gustav Sourek, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | IDA | Estimating Sequence Similarity from Contig Sets. | Petr Rysav, Filip Zelezn |
| 2016 | ILP | Learning Predictive Categories Using Lifted Relational Neural Networks. | Gustav Sourek, Suresh Manandhar, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2016 | IDA | Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data. | Petr Rysav, Filip Zelezn |
| 2013 | ILP | Predicting Top-k Trends on Twitter using Graphlets and Time Features. | Gustav Sourek, Ondrej Kuzelka, Filip Zelezn |
| 2012 | ILP | Bounded Least General Generalization. | Ondrej Kuzelka, Andrea Szabov, Filip Zelezn |
| 2012 | ICTAI | Relational Learning with Polynomials. | Ondrej Kuzelka, Andrea Szabov, Filip Zelezn |
| 2011 | CBMS | Template-based semi-automatic workflow construction for gene expression data analysis. | Jiri Belohradsky, David A. Monge, Filip Zelezn, Matej Holec, Carlos Garca Garino |
| 2011 | ILP | Subgroup Discovery Using Bump Hunting on Multi-relational Histograms. | Radomr Cernoch, Filip Zelezn |
| 2011 | ILP | Satisfiability Machines. | Filip Zelezn |
| 2010 | AAAI | Formulating Template Consistency in Inductive Logic Programming as a Constraint Satisfaction Problem. | Roman Bartk, Ondrej Kuzelka, Filip Zelezn |
| 2010 | FlAIRS | Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming. | Roman Bartk, Ondrej Kuzelka, Filip Zelezn |
| 2010 | ILP | Speeding Up Planning through Minimal Generalizations of Partially Ordered Plans. | Radomr Cernoch, Filip Zelezn |
| 2010 | ILP | Seeing the World through Homomorphism: An Experimental Study on Reducibility of Examples. | Ondrej Kuzelka, Filip Zelezn |
| 2010 | SOFSEM | Taming the Complexity of Inductive Logic Programming. | Filip Zelezn, Ondrej Kuzelka |
| 2009 | ICML | Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties. | Ondrej Kuzelka, Filip Zelezn |
| 2008 | ICML | Fast estimation of first-order clause coverage through randomization and maximum likelihood. | Ondrej Kuzelka, Filip Zelezn |
| 2008 | SOFSEM | Gene expression data mining guided by genomic background knowledge. | Pavel Smrz, Jana Silhav, Jir Klma, Filip Zelezn |
| 2006 | ILP | ILP Through Propositionalization and Stochastic k-Term DNF Learning. | Aline Paes, Filip Zelezn, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan |
| 2006 | ILP | Relational Data Mining Applied to Virtual Engineering of Product Designs. | Monika Zkov, Filip Zelezn, Javier A. Garca-Sedano, Cyril Masia Tissot, Nada Lavrac, Petr Kremen, Javier Molina |
| 2005 | ICMLA | Efficient construction of relational features. | Filip Zelezn |
| 2005 | ILP | Efficient Sampling in Relational Feature Spaces. | Filip Zelezn |
| 2004 | ILP | A Monte Carlo Study of Randomised Restarted Search in ILP. | Filip Zelezn, Ashwin Srinivasan, David Page |
| 2003 | ILP | Comparative Evaluation of Approaches to Propositionalization. | Mark-A. Krogel, Simon Alan Rawles, Filip Zelezn, Peter A. Flach, Nada Lavrac, Stefan Wrobel |
| 2002 | ILP | RSD: Relational Subgroup Discovery through First-Order Feature Construction. | Nada Lavrac, Filip Zelezn, Peter A. Flach |
| 2002 | ILP | Lattice-Search Runtime Distributions May Be Heavy-Tailed. | Filip Zelezn, Ashwin Srinivasan, David Page |
| 2001 | ILP | Learning Functions from Imperfect Positive Data. | Filip Zelezn |
| 2000 | ILP | ILP for Automated Telephony. | Filip Zelezn, Petr Miksovsk, Olga Stepnkov, Jir Zdek |