13136 / 13143 - Publikace - 2019

13136 / 13143 - Intelligent Data Analysis

Publikační činnost 2019

Články v časopisech WoS

HUBÁČEK, O., G. ŠOUREK a F. ŽELEZNÝ. Exploiting sports-betting market using machine learning. International Journal of Forecasting. 2019, 35(2), 783-796. ISSN 0169-2070. DOI 10.1016/j.ijforecast.2019.01.001.

BRZICOVA, T. et al. Nano-TiO2 Stability in Medium and Size as Important Factors of Toxicity in Macrophage-like Cells. Toxicology in Vitro. 2019, 54 178-188. ISSN 0887-2333. DOI 10.1016/j.tiv.2018.09.019.

SVOBODOVÁ, J. et al. 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) Disrupts Control of Cell Proliferation and Apoptosis in a Human Model of Adult Liver Progenitors. Toxicological Sciences. 2019, 172(2), 368-384. ISSN 1096-6080. DOI 10.1093/toxsci/kfz202.

RYŠAVÝ, P. a F. ŽELEZNÝ. Estimating sequence similarity from read sets for clustering next-generation sequencing data. Data Mining and Knowledge Discovery. 2019, 33(1), 1-23. ISSN 1384-5810. DOI 10.1007/s10618-018-0584-8.

BRZICOVÁ, T. et al. Molecular Responses in THP-1 Macrophage-Like Cells Exposed to Diverse Nanoparticles. Nanomaterials. 2019, 9(5), ISSN 2079-4991. DOI 10.3390/nano9050687. Dostupné z: https://www.mdpi.com/2079-4991/9/5/687

ŠOUREK, G. a F. ŽELEZNÝ. Efficient Extraction of Network Event Types from NetFlows. Security and Communication Networks. 2019, 2019 ISSN 1939-0114. DOI 10.1155/2019/8954914.

HUBÁČEK, O., G. ŠOUREK a F. ŽELEZNÝ. Learning to predict soccer results from relational data with gradient boosted trees. Machine Learning. 2019, 108(1), 29-47. ISSN 0885-6125. DOI 10.1007/s10994-018-5704-6.

RYNNING, I. et al. Bulky DNA adducts, microRNA profiles, and lipid biomarkers in Norwegian tunnel finishing workers occupationally exposed to diesel exhaust. Occupational and environmental medicine. 2019, 76(11), 10-16. ISSN 1351-0711. DOI 10.1136/oemed-2018-105445.

ROSSNER, P. et al. The Biological Effects of Complete Gasoline Engine Emissions Exposure in a 3D Human Airway Model (MucilAirTM) and in Human Bronchial Epithelial Cells (BEAS-2B). International Journal of Molecular Sciences. 2019, 20(22), ISSN 1422-0067. DOI 10.3390/ijms20225710.

Stati ve sbornících konferencí

SVATOŠ, M. Datasets Generation for Neural-Symbolic Integration. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 166-167. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

SVATOŠ, M. Cautious Rule-Based Collective Inference. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. IJCAI 2019: 28th International Joint Conference on Artificial Intelligence, Macau, 2019-08-10/2019-08-16. International Joint Conferences on Artificial Intelligence Organization, 2019. s. 6466-6467. ISSN 1045-0823. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/922. Dostupné z: https://www.ijcai.org/proceedings/2019/

RYŠAVÝ, P. Approximate search in genomic data. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 155-159. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

KUNC, V. On the importance of dropout for Checkerboard D–GEX architectures. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 1-2. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

HUBÁČEK, O., G. ŠOUREK a F. ŽELEZNÝ. Score-based Soccer Match Outcome Modeling - an Experimental Review. In: Proceedings of Mathsport International Conference 2019. MathSport International 2019 Conference, Athens, 2019-07-01/2019-07-03. Athens: Athens University of Economics and Business, 2019. s. 164-172. ISBN 978-618-5036-53-9. Dostupné z: https://www.dropbox.com/s/go42h87tah9adye/MathSport2019%20Proceedings.pdf?dl=0

HUBÁČEK, O., G. ŠOUREK a F. ŽELEZNÝ. Deep Learning from Spatial Relations for Soccer Pass Prediction. In: Machine Learning and Data Mining for Sports Analytics. 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2018, Dublin, 2018-09-10. Cham: Springer, 2019. s. 159-166. ISSN 0302-9743. ISBN 978-3-030-17273-2. DOI 10.1007/978-3-030-17274-9_14.

ŠOUREK, G. Deep Learning with Relational Logic Representations. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. IJCAI 2019: 28th International Joint Conference on Artificial Intelligence, Macau, 2019-08-10/2019-08-16. International Joint Conferences on Artificial Intelligence Organization, 2019. s. 6462-6463. ISSN 1045-0823. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/920. Dostupné z: https://www.ijcai.org/proceedings/2019/920

UHRÍN, M. et al. Sports betting strategies: an experimental review. In: Proceedings of Mathsport International Conference 2019. MathSport International 2019 Conference, Athens, 2019-07-01/2019-07-03. Athens: Athens University of Economics and Business, 2019. s. 337-346. ISBN 978-618-5036-53-9. Dostupné z: https://www.dropbox.com/s/go42h87tah9adye/MathSport2019%20Proceedings.pdf?dl=0

KUNC, V. The development of DNA microarrays. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 1-2. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

KUŽELKA, O. a J. DAVIS. Markov Logic Networks for Knowledge Base Completion:A Theoretical Analysis Under the MCAR Assumption. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence. Conference on Uncertainty in Artificial Intelligence, Tel Aviv, 2019-07-22/2019-07-25. Tel-Aviv: Tel-Aviv University, 2019. Dostupné z: http://auai.org/uai2019/proceedings/papers/427.pdf

KUŽELKA, O. a V. KUNGURTSEV. Lifted Weight Learning of Markov Logic Networks Revisited. In: Proceedings of Machine Learning Research. The 22nd International Conference on Artificial Intelligence and Statistics, Naha, 2019-04-16/2019-04-18. Proceedings of Machine Learning Research, 2019. s. 1753-1761. ISSN 2640-3498. Dostupné z: http://proceedings.mlr.press/v89/kuzelka19a/kuzelka19a.pdf

UHRÍN, M. Optimal evaluation of risky opportunities. In: Proceedings of the International Student Scientific Conference Poster – 23/2019. 23rd International Student Conference on Electrical Engineering POSTER 2019, ČVUT FEL, Technická 2, Praha 6, 2019-05-23. Praha: ČVUT FEL, Středisko vědecko-technických informací, 2019. s. 202-204. 1. sv. 1. ISBN 978-80-01-06581-5. Dostupné z: http://poseidon2.feld.cvut.cz/conf/poster/proceedings/POSTER_2019.pdf

DVOŘÁKOVÁ, E. et al. Evaluating Model-free Directional Dependency Methods onSingle-cell RNA Sequencing Data with Severe Dropout. In: ACM Conference Proceedings. 6th International Conference on Bioinformatics Research and Applications, Seoul, 2019-12-19/2019-12-21. New York: ACM, 2019. ISBN 978-1-4503-7218-3.

Stránka vytvořena 08.07.2020 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.