13000 / 13136 - Publikace - 2019

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Publikační činnost 2019

Knihy, kapitoly v knihách a skripta, dizertace, výzkumné zprávy, nepublikované přednášky, stati ve sbornících, články v časopisech, patenty

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.

BUREŠ, M. et al. Testing the consistency of business data objects using extended static testing of CRUD matrices. Cluster Computing. 2019, 22(1), 963-976. ISSN 1386-7857. DOI 10.1007/s10586-017-1118-7.

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.

DRCHAL, J., M. ČERTICKÝ a 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.

KUFNER, J. a R. MAŘÍK. From a BPMN Black Box to a Smalldb State Machine. IEEE Access. 2019, 7(1), 56276-56296. ISSN 2169-3536. DOI 10.1109/ACCESS.2019.2912567. Dostupné z: https://ieeexplore.ieee.org/document/8698227

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.

Články v ostatních periodikách

HORÁK, K. et al. Optimizing Honeypot Strategies Against Dynamic Lateral Movement Using Partially Observable Stochastic Games. Computers & Security. 2019, 87 ISSN 0167-4048. DOI 10.1016/j.cose.2019.101579.

DUDAKOVA, L. et al. The Utility of Massively Parallel Sequencing for Posterior Polymorphous Corneal Dystrophy Type 3 Molecular Diagnosis. Experimental Eye Research. 2019, 182 160-166. ISSN 0014-4835. DOI 10.1016/j.exer.2019.03.002.

SKALICKA, P. et al. Brittle cornea syndrome: A systemic review of disease-causing mutations in ZNF469 and two novel variants identified in a patient followed for 26 years. Biomedical Papers. 2019, X(X), ISSN 1804-7521. DOI 10.5507/bp.2019.017. Dostupné z: https://biomed.papers.upol.cz/getrevsrc.php?identification=public&mag=bio&raid=2083&type=fin&ver=2

Knihy, kapitoly v knihách, skripta, sborníky

ŠUSTR, M., V. KOVAŘÍK a V. LISÝ, eds. Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. Montreal, 2019-05-13/2019-05-17. County of Richland: IFAAMAS, 2019. ISSN 2523-5699. ISBN 978-1-4503-6309-9. Dostupné z: http://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm

Stati ve sbornících konferencí

VINTR, T. et al. Spatiotemporal Models of Human Activity for Robotic Patrolling. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 54-64. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_5.

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

ŠTEC, R. et al. Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines. 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. 5628-5634. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/781. Dostupné z: https://www.ijcai.org/proceedings/2019/0781.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. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/922. Dostupné z: https://www.ijcai.org/proceedings/2019/

ŠEBEK, J., P. VONDRUS a 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. s. 581-591. 1. sv. 514. ISSN 1876-1100. ISBN 9789811310553. DOI 10.1007/978-981-13-1056-0_57.

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

MAJER, F. et al. A Versatile Visual Navigation System for Autonomous Vehicles. In: Modelling and Simulation for Autonomous Systems (MESAS 2018). MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Cham: Springer International Publishing AG, 2019. s. 90-110. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_8.

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

HORÁK, K. et al. Compact Representation of Value Function in Partially Observable Stochastic Games. 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. 350-356. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/50. Dostupné z: https://www.ijcai.org/proceedings/2019/50

CUCHÝ, M., M. ŠTOLBA a 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. s. 274-289. 11352. ISSN 0302-9743. ISBN 978-3-030-05452-6. DOI 10.1007/978-3-030-05453-3_13.

VINTR, T. et al. Spatio-temporal Representation of Time-varying Pedestrian Flows. In: Long-term Human Motion Prediction Workshop ICRA 2019. Montreal, 2019-05-24. Piscataway: IEEE Robotics and Automation Society, 2019.

FAIGL, J., P. VÁŇA a R. PĚNIČKA. Multi-Vehicle Close Enough Orienteering Problem with Bézier Curves for Multi-Rotor Aerial Vehicles. In: Proceedings of 2019 International Conference on Robotics and Automation. 2019 IEEE International Conference on Robotics and Automation, Montreal, 2019-05-20/2019-05-24. IEEE Xplore, 2019. s. 3039-3044. ISSN 2577-087X. ISBN 978-1-5386-6027-0. DOI 10.1109/ICRA.2019.8794339. Dostupné z: https://ieeexplore.ieee.org/document/8794339

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. 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

HORÁK, K. a B. BOŠANSKÝ. Solving Partially Observable Stochastic Games with Public Observations. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, 2019-01-27/2019-02-01. Menlo Park, California: AAAI Press, 2019. s. 2029-2036. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33012029.

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

PRÁGR, M. et al. Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration. In: Online Proceedings of Robotics Science and Systems. Robotics: Science and Systems, Freiburg, 2019-06-22/2019-06-26. Freiburg im Breisgau: Albert Ludwig University of Freiburg, 2019. ISBN 978-0-9923747-5-4. DOI 10.15607/RSS.2019.XV.040. Dostupné z: http://www.roboticsproceedings.org/rss15/p40.html

SZADKOWSKI, R., J. DRCHAL a J. FAIGL. Autoencoders Covering Space as a Life-Long Classifier. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 13th International Workshop on Self-Organizing Maps, Barcelona, 2019-06-26/2019-06-28. Düsseldorf: Springer-VDI-Verlag, 2019. s. 271-281. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_27.

KOMÁREK, T. a P. SOMOL. Multiple Instance Learning with Bag-Level Randomized Trees. In: GOEBEL, R., Y. TANAKA a 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. s. 259-272. ISSN 0302-9743. ISBN 978-3-030-10924-0. DOI 10.1007/978-3-030-10925-7_16.

PRÁGR, M., P. ČÍŽEK a J. FAIGL. Incremental Learning of Traversability Cost for Aerial Reconnaissance Support to Ground Units. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. s. 412-421. LNCS. sv. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_30.

MÓDOS, I. et al. Scheduling on dedicated machines with energy consumption limit. In: Proceedings of the 8th International Conference on Operations Research and Enterprise Systems. ICORES 2019: 8th International Conference on Operations Research and Enterprise Systems, Prague, 2019-02-19/2019-02-21. Madeira: SciTePress, 2019. s. 53-62. ISBN 978-989-758-352-0.

JANISCH, J., T. PEVNÝ a V. LISÝ. Classification with Costly Features Using Deep Reinforcement Learning. In: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence. Thirty-Third AAAI Conference on Artificial Intelligence, Honolulu, 2019-01-27/2019-02-01. Menlo Park, California: AAAI Press, 2019. s. 3959-3966. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33013959.

HALODOVÁ, L. et al. Adaptive Image Processing Methods for Outdoor Autonomous Vehicles. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. s. 456-476. LNCS. sv. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_34.

FAIGL, J. a M. PRÁGR. Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 13th International Workshop on Self-Organizing Maps, Barcelona, 2019-06-26/2019-06-28. Düsseldorf: Springer-VDI-Verlag, 2019. s. 166-176. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_17.

VALEROS, V., M. RIGAKI a S. GARCÍA. Machete: Dissecting the Operations of a Cyber Espionage Group in Latin America. In: Proceedings of 4th IEEE European Symposium on Security and Privacy. 4th IEEE European Symposium on Security and Privacy, Stockholm, 2019-06-17/2019-06-19. IEEE Xplore, 2019. s. 464-473. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00058. Dostupné z: https://ieeexplore.ieee.org/abstract/document/8802467

Stránka vytvořena 17.09.2019 05:00:01
Za obsah odpovídá: RNDr. Patrik Mottl, Ph.D.