13000 / 13136 - Publications - 2019

13000 / 13136 - Department of Computer Science and Engineering

Publications 2019

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

RYŠAVÝ, P. and 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.

ŠOUREK, G. and 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, and 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.

Papers in Other Journals

DRCHAL, J., M. ČERTICKÝ, and M. JAKOB. Data-driven Activity Scheduler for Agent-based Mobility Models. Transportation Research Part C: Emerging Technologies. 2019, 98 370-390. ISSN 0968-090X. DOI 10.1016/j.trc.2018.12.002.

Conference Proceedings

ŠEBEK, J., P. VONDRUS, and T. ČERNÝ. Degree of Similarity of Root Trees. In: Lecture Notes in Electrical Engineering. International Conference on Information Science and Applications, Kawloon, 2018-06-25/2018-09-27. Springer Nature Singapore Pte Ltd., 2019. p. 581-591. 1. vol. 514. ISSN 1876-1100. ISBN 9789811310553. DOI 10.1007/978-981-13-1056-0_57.

CUCHÝ, M., M. ŠTOLBA, and M. JAKOB. Integrated Route, Charging and Activity Planning for Whole Day Mobility with Electric Vehicles. In: Agents and Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ICAART 2018: the 10th International Conference on Agents and Artificial Intelligence, Funchal, Madeira, 2018-01-16/2018-12-18. Basel: Springer Nature Switzerland AG, 2019. p. 274-289. 11352. ISSN 0302-9743. ISBN 978-3-030-05452-6. DOI 10.1007/978-3-030-05453-3_13.

KOMÁREK, T. and P. SOMOL. Multiple Instance Learning with Bag-Level Randomized Trees. In: GOEBEL, R., Y. TANAKA, and W. WAHLSTER, eds. Machine Learning and Knowledge Discovery in Databases. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, 2018-09-10/2018-09-14. Basel: Springer, 2019. p. 259-272. ISSN 0302-9743. ISBN 978-3-030-10924-0. DOI 10.1007/978-3-030-10925-7_16.

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