Gustav Sourek
Gustav Sourek
Verified email at fel.cvut.cz - Homepage
Title
Cited by
Cited by
Year
Lifted relational neural networks
G Sourek, V Aschenbrenner, F Zelezny, O Kuzelka
arXiv preprint arXiv:1508.05128, 2015
482015
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
272018
Learning to predict soccer results from relational data with gradient boosted trees
O Hubáček, G Šourek, F Železný
Machine Learning 108 (1), 29-47, 2019
182019
Learning predictive categories using lifted relational neural networks
G Šourek, S Manandhar, F Železný, S Schockaert, O Kuželka
International Conference on Inductive Logic Programming, 108-119, 2016
102016
Stacked structure learning for lifted relational neural networks
G Šourek, M Svatoš, F Železný, S Schockaert, O Kuželka
International Conference on Inductive Logic Programming, 140-151, 2017
72017
Exploiting sports-betting market using machine learning
O Hubáček, G Šourek, F Železný
International Journal of Forecasting 35 (2), 783-796, 2019
62019
Events from network flows
G Sourek, K Bartos, F Zelezny, T Pevny, P Somol
US Patent 9,374,383, 2016
32016
Learning to detect network intrusion from a few labeled events and background traffic
G Šourek, O Kuželka, F Železný
IFIP International Conference on Autonomous Infrastructure, Management and …, 2015
32015
Score-based soccer match outcome modeling–an experimental review
O Hubácek, S Gustav, F Zelezny
MathSport International, 2019
22019
Efficient extraction of network event types from NetFlows
G Sourek, F Zelezny
Security and Communication Networks 2019, 2019
22019
Deep learning from spatial relations for soccer pass prediction
O Hubáček, G Šourek, F Železný
International Workshop on Machine Learning and Data Mining for Sports …, 2018
22018
Pruning hypothesis spaces using learned domain theories
M Svatoš, G Šourek, F Železný, S Schockaert, O Kuželka
International Conference on Inductive Logic Programming, 152-168, 2017
22017
Predicting top-k trends on twitter using graphlets and time features
G Šourek, O Kuzelka, F Zelezný
ILP 2013 Late Breaking Papers, 52, 2013
22013
Lossless Compression of Structured Convolutional Models via Lifting
G Sourek, F Zelezny
arXiv preprint arXiv:2007.06567, 2020
12020
Lifted Relational Team Embeddings for Predictive Sports Analytics.
O Hubácek, G Sourek, F Zelezný
ILP Up-and-Coming/Short Papers, 84-91, 2018
12018
Beyond Graph Neural Networks with Lifted Relational Neural Networks
G Sourek, F Zelezny, O Kuzelka
arXiv preprint arXiv:2007.06286, 2020
2020
Deep Learning with Relational Logic Representations.
G Sourek
IJCAI, 6462-6463, 2019
2019
Sports betting strategies: an experimental review
M Uhrın, G Šourek, O Hubácek, F Zelezný
2019
Dynamic system modeling of evolutionary algorithms
G Šourek, P Pošík
ACM SIGAPP Applied Computing Review 15 (4), 19-30, 2016
2016
Visual data-flow framework of evolutionary computation
G Sourek, P Posik
Proceedings of the 2015 Conference on research in adaptive and convergent …, 2015
2015
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