13136 / 13141 - centrum umělé inteligence

Publikační činnost 2024

Články v časopisech WoS

BELLON, A. et al. Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization. SIAM Journal on Optimization. 2024, 34(1), 1-26. ISSN 1052-6234. DOI 10.1137/22M1529762.

ZHOU, Q. a J. MAREČEK. Learning of Linear Dynamical Systems as a Noncommutative Polynomial Optimization Problem. IEEE Transactions on Automatic Control. 2024, 69(4), 2399-2405. ISSN 0018-9286. DOI 10.1109/TAC.2023.3313351.

VOTROUBEK, T. a T. KROUPA. Globally Optimal Inverse Kinematics as a Non-Convex Quadratically Constrained Quadratic Program. IEEE Robotics and Automation Letters. 2024, 9(6), 5998-6003. ISSN 2377-3766. DOI 10.1109/LRA.2024.3398433. Dostupné z: https://ieeexplore.ieee.org/document/10522829

RIGAKI, M. a S. GARCÍA. A Survey of Privacy Attacks in Machine Learning. ACM Computing Surveys. 2024, 56(4), ISSN 0360-0300. DOI 10.1145/3624010.

AMJADI, A. et al. Reinforcement Learning-based Aggregation for Robot Swarms. Adaptive Behavior. 2024, 32(3), 265-281. ISSN 1059-7123. DOI 10.1177/10597123231202593.

KUNGURTSEV, V. et al. Iteration Complexity of Variational Quantum Algorithms. Quantum. 2024, 8 1-42. ISSN 2521-327X. DOI 10.22331/q-2024-10-10-1495. Dostupné z: https://quantum-journal.org/papers/q-2024-10-10-1495/#

MAŠKOVÁ, M. et al. Deep anomaly detection on set data: Survey and comparison. Pattern recognition. 2024,(151), ISSN 0031-3203. DOI 10.1016/j.patcog.2024.110381.

LOPEZ, O. et al. Postfault Operation Strategy for Cascaded H-Bridge Inverters Driving a Multiphase Motor. IEEE Transactions on Industrial Electronics. 2024, 71(5), 4309-4319. ISSN 0278-0046. DOI 10.1109/TIE.2023.3281688.

JANISCH, J., T. PEVNÝ a V. LISÝ. Classification with Costly Features in Hierarchical Deep Sets. Machine Learning. 2024, 113(7), 4487-4522. ISSN 0885-6125. DOI 10.1007/s10994-024-06565-4.

REKABI-BABA, F. et al. Unified Robust Path Planning and Optimal Trajectory Generation for Efficient 3D Area Coverage of Quadrotor UAVs. IEEE Transactions on Intelligent Transportation Systems. 2024, 25(3), 2492-2507. ISSN 1524-9050. DOI 10.1109/TITS.2023.3320049.

ROUČEK, T. et al. Predictive Data Acquisition for Lifelong Visual Teach, Repeat and Learn. IEEE Robotics and Automation Letters. 2024, 9(11), 10042-10049. ISSN 2377-3766. DOI 10.1109/LRA.2024.3421193. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10578334

MANDLÍK, Š. et al. Malicious Internet Entity Detection Using Local Graph Inference. IEEE Transactions on Information Forensics and Security. 2024, 2024(19), 3554-3566. ISSN 1556-6013. DOI 10.1109/TIFS.2024.3360867.

ULRICH, J. et al. Autonomous Tracking of Honey Bee Behaviors over Long-term Periods with Cooperating Robots. Science Robotics. 2024, 9(95), ISSN 2470-9476. DOI 10.1126/scirobotics.adn6848.

MERKLE, F. et al. On the Economics of Adversarial Machine Learning. IEEE Transactions on Information Forensics and Security. 2024, 19(2024), 4670-4685. ISSN 1556-6013. DOI 10.1109/TIFS.2024.3379829.

Články v ostatních periodikách

DRCHAL, J. et al. Pipeline and dataset generation for automated fact-checking in almost any language. Neural Computing and Applications. 2024, 36(30), 19023-19054. ISSN 0941-0643. DOI 10.1007/s00521-024-10113-5.

REKABI BANA, F., T. KRAJNÍK a F. ARVIN. Evolutionary Optimization for Risk-aware Heterogeneous Multi-agent Path Planning in Uncertain Environments. Frontiers in Robotics and AI. 2024, 11 1-12. ISSN 2296-9144. DOI 10.3389/frobt.2024.1375393. Dostupné z: https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2024.1375393/full?utm_source=F-NTF&utm_medium=EMLX&utm_campaign=PRD_FEOPS_20170000_ARTICLE

Stati ve sbornících konferencí

MILEC, D., O. KUBÍČEK a V. LISÝ. Continual Depth-limited Responses for Computing Counter-strategies in Sequential Games. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 23rd International Conference on Autonomous Agents and Multiagent Systems, Auckland, 2024-05-06/2024-05-10. County of Richland: IFAAMAS, 2024. s. 2393-2395. ISSN 1548-8403.

PAPEŽ, M. et al. Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. In: Proceedings of the 12th International Conference on Learning Representations. 12th International Conference on Learning Representations, Vienna, 2024-05-07/2024-05-11. Massachusetts: OpenReview.net / University of Massachusetts, 2024. Dostupné z: https://openreview.net/forum?id=mF3cTns4pe

HORČÍK, R. a G. ŠÍR. Expressiveness of Graph Neural Networks in Planning Domains. In: Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling. The 34th International Conference on Automated Planning and Scheduling (ICAPS 2024), Banff, 2024-06-01/2024-06-06. Menlo Park, California: AAAI Press, 2024. s. 281-289. ISSN 2334-0843. ISBN 978-1-57735-889-3. DOI 10.1609/icaps.v34i1.31486. Dostupné z: https://ojs.aaai.org/index.php/ICAPS/article/view/31486

JANOTA, J. et al. Towards Robotic Mapping of a Honeybee Comb. In: 2024 International Conference on Manipulation, Automation and Robotics at Small Scales. 7th International Conference on Manipulation, Automation, and Robotics at Small Scales, Delft, 2024-07-01/2024-07-05. Budapešť: Institute of Electrical and Electronics Engineers Inc., 2024. ISBN 979-8-3503-7680-7. DOI 10.1109/MARSS61851.2024.10612712. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10612712

HÜTHER, L. et al. Machine Learning for SAST: A Lightweight and Adaptable Approach. In: 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25–29, 2023, Proceedings, Part I. 28th European Symposium on Research in Computer Security, The Hague, 2023-09-25/2023-09-29. Basel: Springer Nature Switzerland AG, 2024. s. 85-104. ISSN 0302-9743. ISBN 978-3-031-50593-5. DOI 10.1007/978-3-031-51482-1_5.

BANA, F.R. et al. Iterative Risk Aware PRM Path Planning Algorithm for Autonomous Unknown Environments Exploration. In: Proceedings of 10th International Conference on Automation, Robotics and Applications. 10th International Conference on Automation, Robotics and Applications, Atény, 2024-02-22/2024-02-24. Vienna: IEEE Industrial Electronic Society, 2024. s. 133-138. ISBN 979-8-3503-9425-2. DOI 10.1109/ICARA60736.2024.10553177. Dostupné z: https://ieeexplore.ieee.org/document/10553177

KUBÍČEK, O., N. BURCH a V. LISÝ. Look-ahead Search on Top of Policy Networks in Imperfect Information Games. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence. 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, 2024-08-03/2024-08-09. International Joint Conferences on Artificial Intelligence Organization, 2024. s. 4344-4352. ISBN 978-1-956792-04-1. DOI 10.24963/ijcai.2024/480. Dostupné z: https://www.ijcai.org/proceedings/2024/480

BANDHANA, A., T. KROUPA a S. GARCÍA. Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 23rd International Conference on Autonomous Agents and Multiagent Systems, Auckland, 2024-05-06/2024-05-10. County of Richland: IFAAMAS, 2024. s. 132-140. ISSN 1548-8403.

ČERMÁK, V. et al. WildlifeDatasets: An Open-source Toolkit for Animal Re-identification. In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Waikoloa, HI, USA, 2024-01-04/2024-01-08. Piscataway: IEEE, 2024. s. 5941-5951. ISSN 2642-9381. ISBN 979-8-3503-1892-0. DOI 10.1109/WACV57701.2024.00585. Dostupné z: https://openaccess.thecvf.com/content/WACV2024/papers/Cermak_WildlifeDatasets_An_Open-Source_Toolkit_for_Animal_Re-Identification_WACV_2024_paper.pdf

KUBÍČEK, O. Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence. 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju, 2024-08-03/2024-08-09. International Joint Conferences on Artificial Intelligence Organization, 2024. s. 8498-8499. ISBN 978-1-956792-04-1. DOI 10.24963/ijcai.2024/964. Dostupné z: https://www.ijcai.org/proceedings/2024/964

ZOULA, M. a J. FAIGL. Wireless Communication Infrastructure Building for Mobile Robot Search and Inspection Missions. In: 2024 IEEE International Conference on Robotics and Automation. 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, 2024-05-13/2024-05-17. IEEE Xplore, 2024. s. 5970-5976. ISSN 1050-4729. ISBN 979-8-3503-8457-4. DOI 10.1109/ICRA57147.2024.10611561. Dostupné z: https://ieeexplore.ieee.org/document/10611561

ADAM, L. et al. SeaTurtleID2022: A Long-span Dataset for Reliable Sea Turtle Re-identification. In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Waikoloa, HI, USA, 2024-01-04/2024-01-08. Piscataway: IEEE, 2024. s. 7131-7141. ISSN 2642-9381. ISBN 979-8-3503-1892-0. DOI 10.1109/WACV57701.2024.00699. Dostupné z: https://openaccess.thecvf.com/content/WACV2024/html/Adam_SeaTurtleID2022_A_Long-Span_Dataset_for_Reliable_Sea_Turtle_Re-Identification_WACV_2024_paper.html

RIGAKI, M. a S. GARCÍA. The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning. In: 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25–29, 2023, Proceedings, Part I. 28th European Symposium on Research in Computer Security, The Hague, 2023-09-25/2023-09-29. Basel: Springer Nature Switzerland AG, 2024. s. 44-64. ISSN 0302-9743. ISBN 978-3-031-50593-5. DOI 10.1007/978-3-031-51482-1_3.

RIGAKI, M. et al. Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence. ICAART 2024 16th International Conference on Agents and Artificial Intelligence, Rome, 2024-02-24/2024-02-26. Setúbal: Science and Technology Publications, Lda, 2024. s. 774-781. sv. 3. ISSN 2184-433X. ISBN 978-989-758-680-4. DOI 10.5220/0012391800003636. Dostupné z: https://www.scitepress.org/PublicationsDetail.aspx?ID=eeFwpk+wHcU=&t=1

JANISCH, J., T. PEVNÝ a V. LISÝ. NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios. In: Computer Security. ESORICS 2023 International Workshops. 28th European Symposium on Research in Computer Security, The Hague, 2023-09-25/2023-09-29. Cham: Springer International Publishing, 2024. ISSN 0302-9743. ISBN 978-3-031-54203-9.

LUKÁŠ, O. a S. GARCÍA. Bridging the Explanation Gap in AI Security: A Task-Driven Approach to XAI Methods Evaluation. In: Proceedings of the 16th International Conference on Agents and Artificial Intelligence. ICAART 2024 16th International Conference on Agents and Artificial Intelligence, Rome, 2024-02-24/2024-02-26. Setúbal: Science and Technology Publications, Lda, 2024. s. 1370-1377. sv. 3. ISSN 2184-433X. ISBN 978-989-758-680-4. DOI 10.5220/0012475200003636. Dostupné z: https://www.scitepress.org/PublicationsDetail.aspx?ID=IVoNftRT+PU=&t=1

REKABI-BANA, F. et al. Active Vibration Reduction for the Autonomous Observation Mechanism. In: Proceedings of the 2024 IEEE Conference on Control Technology and Applications. The 8th IEEE Conference on Control Technology and Applications, Newcastle upon Tyne, 2024-08-21/2024-08-23. IEEE Xplore, 2024. s. 805-810. ISSN 2768-0770. ISBN 979-8-3503-7094-2. DOI 10.1109/CCTA60707.2024.10666576. Dostupné z: https://ieeexplore.ieee.org/abstract/document/10666576

CUCHÝ, M., J. VOKŘÍNEK a M. JAKOB. Multi-Objective Electric Vehicle Route and Charging Planning with Contraction Hierarchies. In: The International Conference on Automated Planning and Scheduling. The 34 International Conference on Automated Planning and Scheduling, Alberta, 2024-06-04/2024-06-06. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2024.