Filip Zelezny
Cited by
Cited by
Comparative evaluation of approaches to propositionalization
MA Krogel, S Rawles, F Železný, PA Flach, N Lavrač, S Wrobel
Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged …, 2003
Propositionalization-based relational subgroup discovery with RSD
F Železný, N Lavrač
Machine Learning 62, 33-63, 2006
RSD: Relational subgroup discovery through first-order feature construction
N Lavrac, F Zelezný, PA Flach
ILP 2, 149-165, 2002
Automating knowledge discovery workflow composition through ontology-based planning
M Žáková, P Křemen, F Železný, N Lavrač
IEEE Transactions on Automation Science and Engineering 8 (2), 253-264, 2010
Lifted relational neural networks: Efficient learning of latent relational structures
G Sourek, V Aschenbrenner, F Zelezny, S Schockaert, O Kuzelka
Journal of Artificial Intelligence Research 62, 69-100, 2018
Induction of comprehensible models for gene expression datasets by subgroup discovery methodology
D Gamberger, N Lavrač, F Železný, J Tolar
Journal of biomedical informatics 37 (4), 269-284, 2004
Lattice-search runtime distributions may be heavy-tailed
F Železný, A Srinivasan, D Page
Inductive Logic Programming: 12th International Conference, ILP 2002 Sydney …, 2003
Lifted relational neural networks
G Sourek, V Aschenbrenner, F Zelezny, O Kuzelka
arXiv preprint arXiv:1508.05128, 2015
Learning to predict soccer results from relational data with gradient boosted trees
O Hubáček, G Šourek, F Železný
Machine Learning 108, 29-47, 2019
Learning relational descriptions of differentially expressed gene groups
I Trajkovski, F Zelezny, N Lavrac, J Tolar
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2007
Block-wise construction of tree-like relational features with monotone reducibility and redundancy
O Kuželka, F Železný
Machine Learning 83, 163-192, 2011
Exploiting sports-betting market using machine learning
O Hubáček, G Šourek, F Železný
International Journal of Forecasting 35 (2), 783-796, 2019
Randomised restarted search in ILP
F Železný, A Srinivasan, CD Page
Machine Learning 64, 183-208, 2006
Sequential data mining: A comparative case study in development of atherosclerosis risk factors
J Klema, L Nováková, F Karel, O Stepankova, F Zelezny
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2007
A restarted strategy for efficient subsumption testing
O Kuželka, F Železný
Fundamenta Informaticae 89 (1), 95-109, 2008
Relational data mining applied to virtual engineering of product designs
M Záková, F Zelezny, JA Garcia-Sedano, CM Tissot, N Lavrac, P Kremen, ...
Lecture Notes in Computer Science 4455, 439, 2007
Planning to learn with a knowledge discovery ontology
M Zakova, P Kremen, F Zelezný, N Lavrac
Planning to Learn Workshop (PlanLearn 2008) at ICML 2008, 2008
An experimental test of Occam's razor in classification
J Zahálka, F Elezný
Machine Learning 82 (3), 475, 2011
Advancing data mining workflow construction: A framework and cases using the orange toolkit
M Záková, V Podpecan, F Zelezný, N Lavrac
Proc. 2nd Intl. Wshop. Third Generation Data Mining: Towards Service …, 2009
Comparative evaluation of set-level techniques in predictive classification of gene expression samples
M Holec, J Kléma, F Železný, J Tolar
BMC bioinformatics 13 (10), 1-15, 2012
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