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Publications 2019

Papers in WoS Journals

PĚNIČKA, R., et al. Data Collection Planning with Non-zero Sensing Distance for a Budget and Curvature Constrained Unmanned Aerial Vehicle. Autonomous Robots. 2019, 43(8), 1937-1956. ISSN 0929-5593. DOI 10.1007/s10514-019-09844-5.

PĚNIČKA, R., J. FAIGL, and M. SASKA. Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. European Journal of Operational Research. 2019, 276(3), 816-825. ISSN 0377-2217. DOI 10.1016/j.ejor.2019.01.047.

FAIGL, J. and P. ČÍŽEK. Adaptive locomotion control of hexapod walking robot for traversing rough terrains with position feedback only. Robotics and Autonomous Systems. 2019, 116 136-147. ISSN 0921-8890. DOI 10.1016/j.robot.2019.03.008.

FAIGL, J. Data collection path planning with spatially correlated measurements using growing self-organizing array. Applied Soft Computing. 2019, 75 130-147. ISSN 1568-4946. DOI 10.1016/j.asoc.2018.11.005.

CENAMOR, I., M. VALLATI, and L. CHRPA. On the Predictability of Domain-independent Temporal Planners. Computational Intelligence. 2019, 35(4), 745-773. ISSN 0824-7935. DOI 10.1111/coin.12211.

ČERTICKÝ, M., et al. Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment. Sensors. 2019, 19(5), ISSN 1424-8220. DOI 10.3390/s19050989. Available from: https://www.mdpi.com/1424-8220/19/5/989

ČERTICKÝ, M., et al. StarCraft AI Competitions, Bots and Tournament Manager Software. IEEE Transactions on Games. 2019, 11(3), 227-237. ISSN 2475-1502. DOI 10.1109/TG.2018.2883499.

SELECKÝ, M., J. FAIGL, and M. ROLLO. Analysis of Using Mixed Reality Simulations for Incremental Development of Multi-UAV Systems. Journal of Intelligent and Robotic Systems. 2019, 95(1), 211-227. ISSN 0921-0296. DOI 10.1007/s10846-018-0875-8.

PRESSE, P., et al. Joint Detection of Malicious Domains and Infected Clients. Machine Learning. 2019, 108(8-9), 1353-1368. ISSN 0885-6125. DOI 10.1007/s10994-019-05789-z.

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.

ŠTĚPÁN, P., et al. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics. 2019, 36(1), 252-269. ISSN 1556-4959. DOI 10.1002/rob.21850.

SPURNÝ, V., et al. Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics. 2019, 36(1), 125-148. ISSN 1556-4959. DOI 10.1002/rob.21816.

KOVAŘÍK, V. Complexities and Representations of F-Borel Spaces. Dissertationes Mathematicae. 2019, 540 1-69. ISSN 0012-3862. DOI 10.4064/dm794-2-2019.

PĚNIČKA, R., J. FAIGL, and M. SASKA. Physical Orienteering Problem for Unmanned Aerial Vehicle Data Collection Planning in Environments with Obstacles. IEEE Robotics and Automation Letters. 2019, 4(3), 3005-3012. ISSN 2377-3766. DOI 10.1109/LRA.2019.2923949. Available from: https://ieeexplore.ieee.org/document/8741059

FAIGL, J., P. VÁŇA, and J. DECKEROVÁ. Fast Heuristics for the 3-D Multi-Goal Path Planning Based on the Generalized Traveling Salesman Problem With Neighborhoods. IEEE Robotics and Automation Letters. 2019, 4(3), 2439-2446. ISSN 2377-3766. DOI 10.1109/LRA.2019.2900507. Available from: https://ieeexplore.ieee.org/document/8645724

FAIGL, J., et al. Unsupervised learning‐based flexible framework for surveillance planning with aerial vehicles. Journal of Field Robotics. 2019, 36(1), 270-301. ISSN 1556-4959. DOI 10.1002/rob.21823.

BERANDI, M., et al. A Transversal Method of Lines for the Numerical Modeling of Vertical Infiltration into the Vadose Zone. Applied Numerical Mathematics. 2019, 135 264-275. ISSN 0168-9274. DOI 10.1016/j.apnum.2018.08.013.

KRAJNÍK, T., et al. Warped Hypertime Representations for Long-term Autonomy of Mobile Robots. IEEE Robotics and Automation Letters. 2019, 4(4), 3310-3317. ISSN 2377-3766. DOI 10.1109/LRA.2019.2926682. Available from: https://ieeexplore.ieee.org/document/8754723

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.

DURKOTA, K., et al. Hardening networks against strategic attackers using attack graph games. Computers & Security. 2019, 87(87), ISSN 0167-4048. DOI 10.1016/j.cose.2019.101578.

CHRPA, L., M. VALLATI, and T.L. MCCLUSKEY. Inner Entanglements: Narrowing the Search in Classical Planning by Problem Reformulation. Computational Intelligence. 2019, 35(2), 395-429. ISSN 0824-7935. DOI 10.1111/coin.12203.

ČÍŽEK, P. and J. FAIGL. Self-supervised learning of the biologically-inspired obstacle avoidance of hexapod walking robot. Bioinspiration & Biomimetics. 2019, 14(4), ISSN 1748-3182. DOI 10.1088/1748-3190/ab1a9c.

EGAN, M., N. OREN, and M. JAKOB. Hybrid Mechanisms for On-Demand Transpor. IEEE Transactions on Intelligent Transportation Systems. 2019, 20(12), 4500-4512. ISSN 1524-9050. DOI 10.1109/TITS.2018.2886579.

Books, Book Chapters and Lecture Notes

ŠTEFAŇÁK, J., et al., eds. Sanace skalních svahů - pasivní kompozitní prvky.. Brno: Akademické nakladatelství CERM, 2019. 1. vol. 1. ISBN 978-80-7623-015-6.

ŠTEFAŇÁK, J., et al. Sanace skalních svahů - pasivní kompozitní prvky. In: ŠTEFAŇÁK, J., et al., eds. Sanace skalních svahů - pasivní kompozitní prvky.. Brno: Akademické nakladatelství CERM, 2019. p. 1-127. 1. vol. 1. ISBN 978-80-7623-015-6.

ROY, A., et al., eds. IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). San Diego, Californie, 2019-09-08/2019-09-12. Irvine, CA: IEEE, 2019. 1. vol. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Available from: https://2019.dasconline.org/

ŠTOLBA, M., et al. A General Approach to Distributed and Privacy-Preserving Heuristic Computation. In: Agent and Artificial Intelligence - 11th International Conference, ICAART 2019. Cham: Springer, 2019. p. 55-71. ISBN 978-3-030-37493-8. DOI 10.1007/978-3-030-37494-5_4.

Conference Proceedings

JANISCH, J., T. PEVNÝ, and 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. p. 3959-3966. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33013959.

NGUYEN, T.H., et al. Tackling Sequential Attacks in Security Games. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Decision and Game Theory for Security, GameSec 2019; Stockholm; Sweden, Stockholm, 2019-10-30/2019-11-01. Wien: Springer, 2019. p. 331-351. vol. 11836. ISSN 0302-9743. ISBN 9783030324292. DOI 10.1007/978-3-030-32430-8_20.

NA, S., et al. Extended Artificial Pheromone System for Swarm Robotic Applications. In: Proceedings of the Artificial Life Conference 2019. The 2019 Conference on Artificial Life, Newcastle, 2019-07-29/2019-08-02. MIT Press, 2019. p. 608-615. ISSN 1064-5462. DOI 10.1162/isal_a_00228.

HEIM, N., V. ŠMÍDL, and T. PEVNÝ. Rodent: Relevance determination in ODE. In: Proceedings of the Bayesian Deep Learning. Bayesian Deep Learning, Vancouver, 2019-12-13. Amsterdam: University of Amsterdam, 2019.

SZADKOWSKI, R., J. DRCHAL, and 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. p. 271-281. ISSN 2194-5357. ISBN 978-3-030-19641-7. DOI 10.1007/978-3-030-19642-4_27.

ŠTOLBA, M., D. FIŠER, and A. KOMENDA. Privacy Leakage of Search-Based Multi-Agent Planning Algorithms. In: Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling. The Twenty-Ninth International Conference on Automated Planning and Scheduling, Berkeley, 2019-07-11/2019-07-15. Menlo Park: AAAI Press, 2019. p. 482-490. ISSN 2334-0843. Available from: https://aaai.org/ojs/index.php/ICAPS/article/view/3513

VINTR, T., et al. Spatio-temporal Representation for Long-term Anticipation of Human Presence in Service Robotics. 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. p. 2620-2626. ISSN 1050-4729. ISBN 978-1-5386-6026-3. DOI 10.1109/ICRA.2019.8793534. Available from: https://ieeexplore.ieee.org/document/8793534

VALLATI, M., L. CHRPA, and D. KITCHIN. How to Plan Roadworks in Urban Regions? A Principled Approach Based on AI Planning. In: Computational Science - ICCS 2019. 19th International Conference on Computational Science 2019, Faro, 2019-06-12/2019-06-14. Cham: Springer, 2019. p. 453-460. ISSN 0302-9743. ISBN 978-3-030-22749-4.

FIALKA SOBKOVÁ, L., M. ČERTICKÝ, and Š. JIRÁČEK. APPLICATION OF TRANSPORTATION BIG DATA TO SUPPORT DECISION-MAKING FOR ARCHITECTURE TEAMS: PROCESSES AND EXPERIENCES FROM TWO CASE-STUDIES. In: MAMBRETTI, S. and J.L. MIRALLES I GARCIA, eds. WIT Transactions on Ecology and the Environment. Sustainable City 2019 - 13th International Conference on Urban Regeneration and Sustainability, Valencia, 2019-10-01/2019-10-03. Southampton: WIT Press, Ashurst Lodge, 2019. p. 639-651. 238. ISSN 1743-3541. ISBN 978-1-78466-355-1. DOI 10.2495/SC190551.

FIŠER, D., Á. TORRALBA, and A. SHLEYFMAN. Operator Mutexes and Symmetries for Simplifying Planning Tasks. 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: AAAI Press, 2019. p. 7586-7593. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33017586.

VALEROS, V., M. RIGAKI, and 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. p. 464-473. ISBN 978-1-7281-3026-2. DOI 10.1109/EuroSPW.2019.00058. Available from: https://ieeexplore.ieee.org/abstract/document/8802467

PRÁGR, M., P. ČÍŽEK, and 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. p. 412-421. LNCS. vol. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_30.

PRÁGR, M., P. ČÍŽEK, and J. FAIGL. Traversal cost modeling based on motion characterization for multi-legged walking robots. In: PŘEUČIL, L., S. BEHNKE, and M. KULICH, eds. 2019 European Conference on Mobile Robots (ECMR). European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. St. Paul, Minnesota: IEEE, 2019. Proceedings. ISBN 978-1-7281-3605-9. DOI 10.1109/ECMR.2019.8870912. Available from: https://ieeexplore.ieee.org/abstract/document/8870912

PAČES, P. and V. UDATNÝ. Comparison of Flight-Planning Algorithms in View of Certification Requirements. In: ROY, A., et al., eds. IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). 38th Digital Avionics System Conference (DASC), San Diego, Californie, 2019-09-08/2019-09-12. Irvine, CA: IEEE, 2019. p. 1-1274. 1. vol. 1. ISSN 2155-7209. ISBN 978-1-7281-0649-6. Available from: https://2019.dasconline.org/

DALLOLIO, A., et al. 1Long-duration Autonomy for Open OceanExploration: Preliminary Results & Challenges. 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. Available from: https://robots-wild-rss.github.io/rss2019-workshop/paper/Long-duration%20Autonomy%20for%20Open%20Ocean%20Exploration:%20Preliminary%20Results%20&%20Challenges.pdf

BREJCHOVÁ, K., et al. Two-Stage Approach for Long-Term Motivation of Children to Study Robotics. In: Advances in Intelligent Systems and Computing. 9th International Conference on Robotics in Education, Malta, 2018-04-18/2018-04-20. Düsseldorf: Springer-VDI-Verlag, 2019. p. 137-148. ISSN 2194-5357. ISBN 978-3-319-97084-4. DOI 10.1007/978-3-319-97085-1_14.

CATANIA, C., S. GARCÍA, and P. TORRES. Deep Convolutional Neural Networks for DGA Detection. In: Computer Science - CACIS 2018. 24th Argentine Congress on Computer Science, Tandil, 2018-10-08/2018-10-12. Düsseldorf: Springer VDI Verlag, 2019. p. 327-340. ISSN 1865-0929. ISBN 978-3-030-20786-1. DOI 10.1007/978-3-030-20787-8_23.

ARVIN, F., T. KRAJNÍK, and T.A. EMRE. PΦSS: An Open-Source Experimental Setup for Real-World Implementation of Swarm Robotic Systems in Long-Term Scenarios. 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. p. 351-364. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_26.

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. Available from: http://www.roboticsproceedings.org/rss15/p40.html

FAIGL, J., P. VÁŇA, and 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. p. 3039-3044. ISSN 1050-4729. ISBN 978-1-5386-6026-3. DOI 10.1109/ICRA.2019.8794339. Available from: https://ieeexplore.ieee.org/document/8794339

NGUYENOVÁ, M., P. ČÍŽEK, and J. FAIGL. Modeling Proprioceptive Sensing for Locomotion Control of Hexapod Walking Robot in Robotic Simulator. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. p. 215-225. LNCS. vol. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_17.

MAREK, J., P. VÁŇA, and J. FAIGL. Trajectory Planning for Aerial Vehicles in the Area Coverage Problem with Nearby Obstacles. In: Modelling and Simulation for Autonomous Systems. MESAS 2018 - Modelling & Simulation for Autonomous Systems, Praha, 2018-10-17/2018-10-19. Basel: Springer, 2019. p. 226-236. LNCS. vol. 11472. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_18.

CHRPA, L. and M. VALLATI. Improving Domain-Independent Planning via Critical Section Macro-Operators. 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. p. 7546-7553. ISSN 2159-5399. ISBN 978-1-57735-809-1. DOI 10.1609/aaai.v33i01.33017546.

BERNARD, S., et al. Exploiting Adversarial Embeddings for Better Steganography. In: Proceedings of the ACM Workshop on Information Hiding and Multimedia Security. 7th ACM Workshop on Information Hiding and Multimedia Security, Paris, 2019-07-03/2019-07-05. New York: ACM, 2019. p. 216-221. ISBN 978-1-4503-6821-6. DOI 10.1145/3335203.3335737.

ŠUSTR, M., V. KOVAŘÍK, and V. LISÝ. Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. In: ELKIND, E., et al., eds. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems. AAMAS 2019: International Conference on Autonomous Agents and Multiagent Systems, Montreal, 2019-05-13/2019-05-17. New York: ACM, 2019. p. 224-232. ISSN 2523-5699. ISBN 978-1-4503-6309-9.

PALAU, F., et al. Detecting DNS Threats: A Deep Learning Model to Rule Them All. In: ASAI. ARGENTINE SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, Argentina University, 2019-06-10/2019-06-11. ARGENTINE SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 2019. p. 90-101. 2019. ISSN 2451-7585. DOI 10.13140/RG.2.2.14296.03849.

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. p. 54-64. ISSN 0302-9743. ISBN 978-3-030-14983-3. DOI 10.1007/978-3-030-14984-0_5.

CHRPA, L., M. VALLATI, and S. PARKINSON. Exploiting Automated Planning for Efficient Centralized Vehicle Routing and Mitigating Congestion in Urban Road Networks. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 34th Annual ACM Symposium on Applied Computing, Limassol, 2019-04-08/2019-04-12. New York: ACM, 2019. p. 191-194. ISBN 978-1-4503-5933-7. DOI 10.1145/3297280.3297539.

HALODOVÁ, L., et al. Predictive and Adaptive Maps for Long-term Visual Navigation in Changing Environments. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. p. 7033-7039. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8967994. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8967994

WANG, X., et al. When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Decision and Game Theory for Security, GameSec 2019; Stockholm; Sweden, Stockholm, 2019-10-30/2019-11-01. Wien: Springer, 2019. p. 542-562. vol. 11836. ISSN 0302-9743. ISBN 9783030324292. DOI 10.1007/978-3-030-32430-8_32.

SCHAEFER, M., et al. Routing a Fleet of Automated Vehicles in a Capacitated Transportation Network. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IROS 2019: the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macau, 2019-11-04/2019-11-08. Piscataway, NJ: IEEE, 2019. p. 8223-8229. ISSN 2153-0866. ISBN 978-1-7281-4004-9. DOI 10.1109/IROS40897.2019.8967723. Available from: https://ieeexplore.ieee.org/document/8967723

BASMADJIAN, R., et al. An Interoperable Reservation System for Public Electric Vehicle Charging Stations: A Case Study in Germany. In: BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New York, 2019-11-13/2019-11-14. New York: Association for Computing Machinery, 2019. p. 22-29. ISBN 978-1-4503-7015-8. DOI 10.1145/3364544.3364825.

ŠMÍDL, V., J. BÍM, and T. PEVNÝ. Orthogonal Approximation of Marginal Likelihood of Generative Models. In: Proceedings of the Bayesian Deep Learning. Bayesian Deep Learning, Vancouver, 2019-12-13. Amsterdam: University of Amsterdam, 2019.

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. p. 350-356. ISSN 1045-0823. ISBN 978-0-9992411-4-1. DOI 10.24963/ijcai.2019/50. Available from: https://www.ijcai.org/proceedings/2019/50

VENOSA, P., S. GARCÍA, and F. JAVIER DIAZ. A Better Infected Hosts Detection Combining Ensemble Learning and Threat Intelligence. In: CACIC 2019: 25th Argentine Congress of Computer Science. 25th Argentine Congress of Computer Science, CACIC 2019, Rio Cuarto, 2019-10-14/2019-10-18. Cham: Springer, 2019. p. 354-365. ISSN 1865-0929. ISBN 978-3-030-48324-1. DOI 10.1007/978-3-030-48325-8_23.

VÁŇA, P., J. FAIGL, and J. SLÁMA. Emergency landing aware surveillance planning for fixed-wing planes. In: PŘEUČIL, L., S. BEHNKE, and M. KULICH, eds. 2019 European Conference on Mobile Robots (ECMR). European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. St. Paul, Minnesota: IEEE, 2019. Proceedings. ISBN 978-1-7281-3605-9. DOI 10.1109/ECMR.2019.8870933. Available from: https://ieeexplore.ieee.org/document/8870933

BAYER, J. and J. FAIGL. On autonomous spatial exploration with small hexapod walking robot using tracking camera intel RealSense T265. In: PŘEUČIL, L., S. BEHNKE, and M. KULICH, eds. 2019 European Conference on Mobile Robots (ECMR). European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. St. Paul, Minnesota: IEEE, 2019. Proceedings. ISBN 978-1-7281-3605-9. DOI 10.1109/ECMR.2019.8870968. Available from: https://ieeexplore.ieee.org/document/8870968

PRÁGR, M. and J. FAIGL. Benchmarking Incremental Regressors in Traversal Cost Assessment. In: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. ICANN 2019. ICANN 2019 - The 28th International Conference on Artificial Neural Networks, Munich, 2019-09-17/2019-09-19. Basel: Springer, 2019. p. 685-697. Lecture Notes in Computer Science. vol. 11727. ISSN 0302-9743. ISBN 978-3-030-30486-7. DOI 10.1007/978-3-030-30487-4_52.

CHRESTIEN, L. and L. CHRPA. Appropriate expressiveness of planning domain models: An urban traffic control case study. In: Proceedings of the 10th International Conference on Knowledge Capture. 10th International Conference on Knowledge Capture, Marina del Rey, 2019-11-19/2019-12-22. New York: ACM, 2019. p. 247-250. ISBN 978-1-4503-7008-0. DOI 10.1145/3360901.3364437. Available from: https://dl.acm.org/doi/10.1145/3360901.3364437

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.

MAJER, F., et al. Learning to See Through Haze: Radar-based Human Detection for Adverse Weather Conditions. In: Proceedings of European Conference on Mobile Robots. European Conference on Mobile Robots 2019, Prague, 2019-08-04/2019-08-06. Prague: Czech Technical University, 2019. ISBN 978-1-7281-3606-6. DOI 10.1109/ECMR.2019.8870954.

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