13000 / 13136 - Publications - 2018

13000 / 13136 - Department of Computer Science and Engineering

Publications 2018

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

FIŠER, D. and A. KOMENDA. Fact-Alternating Mutex Groups for Classical Planning. Journal of Artificial Intelligence Research. 2018, 61 475-521. ISSN 1076-9757.

TORRENO, A., et al. Cooperative Multi-Agent Planning: A Survey. ACM Computing Surveys. 2018, 50(6), ISSN 0360-0300.

BUREŠ, M., K. FRAJTÁK, and B. AL-BEYWANEE. Tapir: Automation Support of Exploratory Testing Using Model Reconstruction of the System Under Test. IEEE Transactions on Reliability. 2018, 67(2), 557-580. ISSN 0018-9529.

ČERMÁK, J., et al. Approximating Maxmin Strategies in Imperfect Recall Games Using A-loss Recall Property. International Journal of Approximate Reasoning. 2018, 93 290-326. ISSN 0888-613X.

BUREŠ, M., M. FILIPSKÝ, and I. JELÍNEK. Identification of Potential Reusable Subroutines in Recorded Automated Test Scripts. International Journal of Software Engineering and Knowledge Engineering. 2018, 28(1), 3-36. ISSN 0218-1940.

STIBOREK, J., T. PEVNÝ, and M. REHÁK. Multiple instance learning for malware classification. Expert Systems with Applications. 2018, 93 346-357. ISSN 0957-4174.

STIBOREK, J., T. PEVNÝ, and M. REHÁK. Multiple instance learning for malware classification. Expert Systems with Applications. 2018, 2018(93), 346-357. ISSN 0957-4174.

ZAMLI, K., et al. A hybrid Q-learning sine-cosine-based strategy for addressing the combinatorial test suite minimization problem. PLoS ONE. 2018, 13(5), ISSN 1932-6203. Available from: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195675

Papers in Other Journals

STIBOREK, J., T. PEVNÝ, and M. REHÁK. Probabilistic analysis of dynamic malware traces. Computers & Security. 2018, 74 221-239. ISSN 0167-4048. Available from: https://www.sciencedirect.com/science/article/pii/S0167404818300336

ŠOUREK, G., et al. Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures. Journal of Artificial Intelligence Research. 2018, 62 69-100. ISSN 1076-9757.

EGAN, M., et al. Towards Data-Driven on-Demand Transport. EAI Endorsed Transaction on Industrial Networks and Intelligent Systems. 2018, 5(14), 1-10. ISSN 2410-0218.

KOHOUT, J. and T. PEVNÝ. Network traffic fingerprinting based on approximated kernel two-sample test. IEEE Transactions on Information Forensics and Security. 2018, 13(3), 788-801. ISSN 1556-6021. Available from: http://ieeexplore.ieee.org/document/8089373/

KOHOUT, J., et al. Learning Communication Patterns for Malware Discovery in HTTPs Data. Expert Systems with Applications. 2018, 101 129-142. ISSN 0957-4174.

ŠTOLBA, M., J. TOŽIČKA, and A. KOMENDA. Quantifying privacy leakage in multi-agent planning. ACM Transactions on Internet Technology. 2018, 18(3), ISSN 1533-5399.

Conference Proceedings

CUCHÝ, M., M. ŠTOLBA, and M. JAKOB. Whole Day Mobility Planning with Electric Vehicles. In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence. 10th International Conference on Agents and Artificial Intelligence, Funchal, Medeira, Portugal, 2018-01-16/2018-01-18. Madeira: SciTePress, 2018. pp. 154-164. vol. 2. ISBN 978-989-758-275-2.

FIALKA SOBKOVÁ, L. and M. ČERTICKÝ. Urban mobility and influence factors: A case study of Prague. In: WIT Transactions on the Built Environment. 23rd International Conference on Urban Transport and the Environment, Rome, 2017-09-05/2017-09-07. Cambridge: WIT Press, 2018. pp. 207-217. ISSN 1743-3509. ISBN 978-1-78466-209-7. DOI 10.2495/UT170181.

ŠOUREK, G., et al. Stacked Structure Learning for Lifted Relational Neural Networks. In: Inductive Logic Programming 2017. 27th International Conference on Inductive Logic Programming, Orléans, 2017-09-04/2017-09-06. Cham: Springer International Publishing, 2018. pp. 140-151. 27. ISBN 978-3-319-78089-4.

KUNC, V. A Novel Aerial Dataset for Scene Classification Annotated Using OSM for Learning Deep CNNs. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. pp. 1-5. ISBN 978-80-01-06428-3.

MRKOS, J., A. KOMENDA, and M. JAKOB. Dynamic Pricing Strategy for Electromobility using Markov Decision Processes. In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence. 10th International Conference on Agents and Artificial Intelligence, Funchal, Medeira, Portugal, 2018-01-16/2018-01-18. Madeira: SciTePress, 2018. pp. 507-514. vol. 2. ISBN 978-989-758-275-2.

SVATOŠ, M., et al. Pruning Hypothesis Spaces Using Learned Domain Theories. In: Inductive Logic Programming 2017. 27th International Conference on Inductive Logic Programming, Orléans, 2017-09-04/2017-09-06. Cham: Springer International Publishing, 2018. pp. 152-168. 27. ISBN 978-3-319-78089-4.

FIŠER, D. and A. KOMENDA. Concise Finite-Domain Representations for Factored MA-PDDL Planning Tasks. In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence. 10th International Conference on Agents and Artificial Intelligence, Funchal, Medeira, Portugal, 2018-01-16/2018-01-18. Madeira: SciTePress, 2018. pp. 306-313. vol. 2. ISBN 978-989-758-275-2. DOI 10.5220/0006539503060313.

Dissertations

FESL, J. Virtual Distributed Computing Systems and Their Applications. Praha: 2018. PhD Thesis. budova G Karlovo náměstí.

Research Reports

ČERNOCH, R. and F. ŽELEZNÝ. Zpráva o výslecích vývoje a validace. Praha: ČVUT/FEL/K13136, 2018. TG02010033_2018.

MALÝ, J., M. ŠUSTR, and M. ČERTICKÝ. Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report. 2018.

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