13136 / 13141 - Publications - 2022

13136 / 13141 - Artificial Intelligence Center

Publications 2022

Papers in WoS Journals

ABBADINI, M., et al. A finite axiomatization of positive MV-algebras. Algebra universalis. 2022, 83(3), ISSN 1420-8911. DOI 10.1007/s00012-022-00776-3.

CHRPA, L., et al. Attributed Transition-Based Domain Control Knowledge for Domain-Independent Planning. IEEE Transactions on Knowledge and Data Engineering. 2022, 34(9), 4089-4101. ISSN 1041-4347. DOI 10.1109/TKDE.2020.3037058.

ADAM, L. and V. MÁCHA. Projections onto the canonical simplex with additional linear inequalities. Optimization Methods and Software. 2022, 37(2), 451-479. ISSN 1055-6788. DOI 10.1080/10556788.2020.1797023.

PAPEŽ, M. and A. QUINN. Transferring model structure in Bayesian transfer learning for Gaussian process regression. Knowledge-Based Systems. 2022, 251 ISSN 1872-7409. DOI 10.1016/j.knosys.2022.108875. Available from: https://www.sciencedirect.com/science/article/pii/S095070512200418X

PINSKY, D., et al. T*ε—-Bounded-Suboptimal Efficient Motion Planning for Minimum-Time Planar Curvature-Constrained Systems. IEEE Robotics and Automation Letters. 2022, 7(2), 4102-4109. ISSN 2377-3766. DOI 10.1109/LRA.2022.3149307.

MAREČEK, J., et al. Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests. IEEE Access. 2022, 10(29.3.2022), 32525-32536. ISSN 2169-3536. DOI 10.1109/ACCESS.2022.3152206. Available from: https://ieeexplore.ieee.org/document/9715127

ŠTOLBA, M., M. URBANOVSKÁ, and A. KOMENDA. Privacy Leakage of Search-based Multi-agent Planning Algorithms. Autonomous Agents and Multi-Agent Systems. 2022, 36(2), 1-32. ISSN 1387-2532. DOI 10.1007/s10458-022-09568-4.

ADAM, L., et al. General framework for binary classification on top samples. Optimization Methods and Software. 2022, 37(5), 1636-1667. ISSN 1029-4937. DOI 10.1080/10556788.2021.1965601.

DECKEROVÁ, J., J. FAIGL, and V. KRÁTKÝ. Traveling Salesman Problem with neighborhoods on a sphere in reflectance transformation imaging scenarios. Expert Systems with Applications. 2022, 198 ISSN 0957-4174. DOI 10.1016/j.eswa.2022.116814.

ŠKVÁRA, V., et al. Comparison of Anomaly Detectors: Context Matters. IEEE Transactions on Neural Networks and Learning Systems. 2022, 33(6), 2494-2507. ISSN 2162-2388. DOI 10.1109/TNNLS.2021.3116269. Available from: https://ieeexplore.ieee.org/document/9569766

KOVAŘÍK, V., et al. Rethinking formal models of partially observable multiagent decision making. Artificial Intelligence. 2022, 303(103645), 1-21. ISSN 1872-7921. DOI 10.1016/j.artint.2021.103645.

KORPAS, G. Mock Modularity and Surface Defects in Topological N=2 Super Yang-Mills Theory. Physical Review D. 2022, 105(2), ISSN 2470-0010. DOI 10.1103/PhysRevD.105.026025.

GHOSH, R., et al. Predictability and Fairness in Social Sensing. IEEE Internet of Things Journal. 2022, 9(1), 37-54. ISSN 2327-4662. DOI 10.1109/JIOT.2021.3085368. Available from: https://ieeexplore.ieee.org/document/9445023

DRCHAL, J., J. FAIGL, and P. VÁŇA. WiSM: Windowing Surrogate Model for Evaluation of Curvature-Constrained Tours With Dubins Vehicle. IEEE Transactions on Cybernetics. 2022, 52(2), 1302-1311. ISSN 2168-2267. DOI 10.1109/TCYB.2020.3000465.

ROZSYPÁLEK, Z., et al. Contrastive Learning for Image Registration in Visual Teach and Repeat Navigation. Sensors. 2022, 22(8), ISSN 1424-8220. DOI 10.3390/s22082975. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030179/

ROUČEK, T., et al. Self-Supervised Robust Feature Matching Pipeline for Teach and Repeat Navigation. Sensors. 2022, 22(8), ISSN 1424-8220. DOI 10.3390/s22082836. Available from: https://www.mdpi.com/1424-8220/22/8/2836

CHRPA, L., M. PILAT, and J. GEMROT. Planning and Acting in Dynamic Environments: Identifying and Avoiding Dangerous Situations. Journal of Experimental and Theoretical Artificial Intelligence. 2022, 34(6), 925-948. ISSN 1362-3079. DOI 10.1080/0952813X.2021.1938697. Available from: https://www.tandfonline.com/doi/abs/10.1080/0952813X.2021.1938697

BERNARD, S., et al. Backpack: A Backpropagable Adversarial Embedding Schem. IEEE Transactions on Information Forensics and Security. 2022, 17 3539-3554. ISSN 1556-6013. DOI 10.1109/TIFS.2022.3204218.

GALATOS, N. and R. HORČÍK. Densification via polynomials, languages, and frames. Journal of Pure and Applied Algebra. 2022, 226(3), ISSN 0022-4049. DOI 10.1016/j.jpaa.2021.106852.

HANSSON ASPMAN, B., et al. The U-plane Integral, Mock Modularity and Enumerative Geometry. Letters in Mathematical Physics. 2022, 112(2), ISSN 0377-9017. DOI 10.1007/s11005-022-01520-7.

MANDLÍK, Š., et al. JsonGrinder.jl: Automated Differentiable Neural Architecture for Embedding Arbitrary JSON Data. Journal of Machine Learning Research. 2022, 23 1-5. ISSN 1532-4435.

HU, J., et al. Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks. IEEE Transactions on Cognitive and Developmental Systems. 2022, 14(1), 126-135. ISSN 2379-8920. DOI 10.1109/TCDS.2020.3018549.

SZADKOWSKI, R., J. DRCHAL, and J. FAIGL. Continually trained life-long classification. Neural Computing and Applications. 2022, 34(1), 135-152. ISSN 0941-0643. DOI 10.1007/s00521-021-06154-9.

CHRPA, L. and M. VALLATI. Planning with Critical Section Macros: Theory and Practice. Journal of Artificial Intelligence Research. 2022, 74 691-732. ISSN 1076-9757. DOI 10.1613/JAIR.1.13269.

BROUGHTON, G., et al. Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions. Sensors. 2022, 22(22), 1-22. ISSN 1424-8220. DOI 10.3390/s22228855. Available from: https://pubmed.ncbi.nlm.nih.gov/36433451/

ZOREK, M., et al. Semi-supervised deep networks for plasma state identification. Plasma Physics and Controlled Fusion. 2022, 64(12), 1-16. ISSN 1361-6587. DOI 10.1088/1361-6587/ac9926. Available from: https://iopscience.iop.org/article/10.1088/1361-6587/ac9926

Papers in Other Journals

MRKOS, J. and R. BASMADJIAN. Dynamic Pricing for Charging of EVs with Monte Carlo Tree Search. Smart Cities. 2022, 5(1), 223-240. ISSN 2624-6511. DOI 10.3390/smartcities5010014. Available from: https://www.mdpi.com/2624-6511/5/1/14

VINTR, T., et al. Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation. Frontiers in Robotics and AI. 2022, 9 ISSN 2296-9144. DOI 10.3389/frobt.2022.890013. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289192/

ŠTIBINGER, P., et al. Towards new frontiers in mobile manipulation: Team CTU-UPenn-NYU at MBZIRC 2020. Field Robotics. 2022, 2 75-106. ISSN 2771-3989. DOI 10.55417/fr.2022004. Available from: https://fieldrobotics.net/Field_Robotics/Volume_2_files/Vol2_04.pdf

STEFANEC, M., et al. A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees. Frontiers in Robotics and AI. 2022, 9 1-17. ISSN 2296-9144. DOI 10.3389/frobt.2022.791921. Available from: https://www.frontiersin.org/articles/10.3389/frobt.2022.791921/full

PRÁGR, M., J. BAYER, and J. FAIGL. Autonomous Robotic Exploration with Simultaneous Environment and Traversability Models Learning. Frontiers in Robotics and AI. 2022, 9 1-24. ISSN 2296-9144. DOI 10.3389/frobt.2022.910113. Available from: https://www.frontiersin.org/articles/10.3389/frobt.2022.910113/full

VALEROS, V. and S. GARCÍA. Hornet 40: Network Dataset of Geographically Placed Honeypots. Data in Brief. 2022, 40 1-10. ISSN 2352-3409. DOI 10.1016/j.dib.2022.107795.

Books, Book Chapters and Lecture Notes

FAIGL, J. and J. DRCHAL, eds. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. Prague, 2022-07-06/2022-07-08. Springer, Cham, 2022. ISSN 2367-3370. ISBN 978-3-031-15443-0.

Conference Proceedings

URBANOVSKÁ, M. and A. KOMENDA. Learning Heuristic Estimates for Planning in Grid Domains by Cellular Simultaneous Recurrent Networks. In: ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2. THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, Online Streaming, 2022-03-03/2022-03-05. Porto: SciTePress - Science and Technology Publications, 2022. p. 203-213. ISSN 2184-433X. ISBN 978-989-758-547-0. DOI 10.5220/0010813900003116. Available from: https://www.scitepress.org/Link.aspx?doi=10.5220/0010813900003116

GARCÍA, S., et al. Large Scale Analysis of DoH Deployment on the Internet. In: Computer Security - ESORICS 2022. 27th European Symposium on Research in Computer Security, Copenhagen, 2022-09-26/2022-09-30. Cham: Springer International Publishing, 2022. p. 145-165. ISSN 0302-9743. ISBN 978-3-031-17142-0. DOI 10.1007/978-3-031-17143-7_8.

MED, J. and L. CHRPA. On Speeding Up Methods for Identifying Redundant Actions in Plans. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022. ICAPS 2022: the 32nd International Conference on Automated Planning and Scheduling, Singapur, 2022-06-19/2022-06-24. Menlo Park: AAAI Press, 2022. p. 252-260. vol. 32. ISSN 2334-0835. ISBN 978-1-57735-874-9. DOI 10.1609/icaps.v32i1.19808.

SAHAN, M., V. ŠMÍDL, and R. MAŘÍK. Batch Active Learning for Text Classification and Sentiment Analysis. In: CCRIS '22: Proceedings of the 2022 3rd International Conference on Control, Robotics and Intelligent System. Virtual Event, 2022-08-26/2022-08-28. New York: Association for Computing Machinery, 2022. p. 111-116. ISBN 978-1-4503-9685-1. DOI 10.1145/3562007.3562028.

ROZSYPÁLEK, Z., et al. Semi-supervised Learning for Image Alignment in Teach and Repeat Navigation. In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 37th ACM/SIGAPP Symposium on Applied Computing, Virtual, 2022-04-25/2022-04-29. New York: ACM, 2022. p. 731-738. ISBN 978-1-4503-8713-2. DOI 10.1145/3477314.3507045.

SLÁMA, J., P. VÁŇA, and J. FAIGL. Generating Safe Corridors Roadmap for Urban Air Mobility. In: Intelligent Robots and Systems (IROS), 2022 IEEE/RSJ International Conference on. Kyoto, 2022-10-23/2022-10-27. Piscataway: IEEE, 2022. p. 11866-11871. ISSN 2153-0858. ISBN 978-1-6654-7927-1. DOI 10.1109/IROS47612.2022.9981326. Available from: https://ieeexplore.ieee.org/document/9981326

FEBER, J., R. SZADKOWSKI, and J. FAIGL. Gait Adaptation After Leg Amputation of Hexapod Walking Robot Without Sensory Feedback. In: Artificial Neural Networks and Machine Learning – ICANN 2022. 31st International Conference on Artificial Neural Networks (ICANN), Bristol, 2022-09-06/2022-09-09. Springer, Cham, 2022. p. 656-667. LNCS. vol. 13531. ISSN 0302-9743. ISBN 978-3-031-15933-6. DOI 10.1007/978-3-031-15934-3_54.

HORČÍK, R., et al. Optimal Mixed Strategies for Cost-Adversarial Planning Games. In: Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022. ICAPS 2022: the 32nd International Conference on Automated Planning and Scheduling, Singapur, 2022-06-19/2022-06-24. Menlo Park: AAAI Press, 2022. p. 160-168. vol. 32. ISSN 2334-0835. ISBN 978-1-57735-874-9. DOI 10.1609/icaps.v32i1.19797.

URBANOVSKÁ, M. and A. KOMENDA. Grid Representation in Neural Networks for Automated Planning. In: ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3. THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, Online Streaming, 2022-03-03/2022-03-05. Porto: SciTePress - Science and Technology Publications, 2022. p. 871-880. ISSN 2184-433X. ISBN 978-989-758-547-0. DOI 10.5220/0010918500003116. Available from: https://www.scitepress.org/Link.aspx?doi=10.5220/0010918500003116

SLÁMA, J., P. VÁŇA, and J. FAIGL. GNG-based Clustering of Risk-aware Trajectories into Safe Corridors. In: FAIGL, J. and J. DRCHAL, eds. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 14th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, Prague, 2022-07-06/2022-07-08. Springer, Cham, 2022. p. 87-97. ISSN 2367-3370. ISBN 978-3-031-15443-0. DOI 10.1007/978-3-031-15444-7_9.

BROUGHTON, G., et al. Bootstrapped Learning for Car Detection in Planar Lidars. In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 37th ACM/SIGAPP Symposium on Applied Computing, Virtual, 2022-04-25/2022-04-29. New York: ACM, 2022. p. 758-765. ISBN 978-1-4503-8713-2. DOI 10.1145/3477314.3507312.

ULRICH, J., et al. Towards Fast Fiducial Marker with full 6 DOF Pose Estimation. In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 37th ACM/SIGAPP Symposium on Applied Computing, Virtual, 2022-04-25/2022-04-29. New York: ACM, 2022. p. 723-730. ISBN 978-1-4503-8713-2. DOI 10.1145/3477314.3507043.

KUBÍK, J., R. SZADKOWSKI, and J. FAIGL. Learning-based Detection of Leg-Surface Contact using Position Feedback Only. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022-09-06/2022-09-09. Vienna: IEEE Industrial Electronic Society, 2022. ISSN 1946-0759. ISBN 978-1-6654-9996-5. DOI 10.1109/ETFA52439.2022.9921720. Available from: https://ieeexplore.ieee.org/document/9921720

FIEDLER, D., et al. Map Matching Algorithm for Large-scale Datasets. In: ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3. THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, Online Streaming, 2022-03-03/2022-03-05. Porto: SciTePress - Science and Technology Publications, 2022. p. 500-508. ISSN 2184-433X. ISBN 978-989-758-547-0. DOI 10.5220/0010849100003116. Available from: https://www.scitepress.org/Papers/2022/108491/108491.pdf

FABER, W., M. MORAK, and L. CHRPA. Determining Action Reversibility in STRIPS Using Answer Set Programming with Quantifiers. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 24th International Conference on Practical Aspects of Declarative Languages, Philadelphia, 2022-01-16/2022-02-28. Springer Science and Business Media Deutschland GmbH, 2022. p. 42-56. ISSN 0302-9743. ISBN 978-3-030-94478-0. DOI 10.1007/978-3-030-94479-7_4.

ŽAMPACHŮ, K., et al. A Vision-based System for Social Insect Tracking. In: 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence. 2nd International Conference on Robotics, Automation and Artificial Intelligence, Singapore, 2022-12-09/2022-12-11. IEEE Xplore, 2022. p. 277-283. ISBN 978-1-6654-5944-0. DOI 10.1109/RAAI56146.2022.10092977. Available from: https://ieeexplore.ieee.org/document/10092977

ZELINKA, J., et al. Traversability Transfer Learning Between Robots with Different Cost Assessment Policies. In: Modelling and Simulation for Autonomus Systems. 8th International Conference on Modelling and Simulation for Autonomous Systems (MESAS), Virtual, 2022-10-20/2022-10-21. Berlin: Springer-Verlag, 2022. p. 333-344. ISSN 0302-9743. ISBN 978-3-030-98259-1. DOI 10.1007/978-3-030-98260-7_21.

HORČÍK, R., D. FIŠER, and A. TORRALBA. Homomorphisms of Lifted Planning Tasks: The Case for Delete-free Relaxation Heuristics. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence. 36th AAAI Conference on Artificial Intelligence (AAAI-22), - virtual, 2022-02-22/2022-03-01. Menlo Park: AAAI Press, 2022. p. 9767-9775. ISSN 2159-5399. ISBN 978-1-57735-876-3. DOI 10.1609/aaai.v36i9.21212.

NEKOVÁŘ, F., J. FAIGL, and M. SASKA. Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022-09-06/2022-09-09. Vienna: IEEE Industrial Electronic Society, 2022. ISSN 1946-0759. ISBN 978-1-6654-9996-5. DOI 10.1109/ETFA52439.2022.9921692. Available from: https://ieeexplore.ieee.org/document/9921692

KURBANOV, T., M. CUCHÝ, and J. VOKŘÍNEK. Heuristics for Fast One-to-Many Multicriteria Shortest Path Search. In: ITSC 2022: IEEE Conference on Intelligent Transportation Systems. 25th IEEE Conference on Intelligent Transportation Systems, Macau, 2022-09-18/2022-10-12. Institute of Electrical and Electronics Engineers, Inc., 2022. p. 594-599. ISBN 9781665468800. DOI 10.1109/ITSC55140.2022.9922586.

EDELKAMP, S., X. DANG, and L. CHRPA. Deep RRT. In: Proceedings of the Fifteenth International Symposium on Combinatorial Search. SOCS 2022 : Symposium on Combinatorial Search, Vídeň, 2022-07-21/2022-07-23. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2022. p. 333-335. vol. 15. ISBN 978-1-57735-873-2. DOI 10.1609/socs.v15i1.21803. Available from: https://ojs.aaai.org/index.php/SOCS/article/view/21803

PAPEŽ, M., T. PEVNÝ, and V. ŠMÍDL. Reducing the cost of fitting mixture models via stochastic sampling. In: Proceedings of the 5th Workshop on Tractable Probabilistic Modeling. 5th Workshop on Tractable Probabilistic Modeling, UAI 2022, Eindhoven, 2022-08-05. Eindhoven: Eindhoven University of Technology, 2022. Available from: https://openreview.net/forum?id=WPWcn80R36y

PRÁGR, M., et al. Terrain Traversal Cost Learning with Knowledge Transfer Between Multi-legged Walking Robot Gaits. In: 2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC). The 22nd IEEE International Conference on Autonomous Robot Systems and Competitions, Santa Maria da Feira, 2022-04-29/2022-04-30. New York: Institute of Electrical and Electronics Engineers, 2022. p. 148-153. ISSN 2573-9360. ISBN 978-1-6654-8217-2. DOI 10.1109/ICARSC55462.2022.9784790.

ŠEPÁK, D., L. ADAM, and T. PEVNÝ. Formalizing Cover-source Mismatch as a Robust Optimization. In: Proceedings of European Signal Processing Conference. 30th European Signal Processing Conference, Belgrade, 2022-08-29/2022-09-02. Belgrade: EUSIPCO, 2022. p. 1042-1046. ISBN 978-1-6654-6798-8.

ZELINKA, J., et al. Deep Transfer Learning of Traversability Assessment for Heterogeneous Robots. In: Proceedings of the 22nd Conference Information Technologies – Applications and Theory (ITAT 2022). ITAT (Information Technologies – Applications and Theory, Zuberec, 2022-09-23/2023-09-27. Aachen: CEUR Workshop Proceedings, 2022. p. 12-20. vol. 3226. ISSN 1613-0073.

ABECIDAN, R., et al. Using Set Covering to Generate Databases for Holistic Steganalysis. In: IEEE International Workshop on Information Forensics and Security. Online, 2022-12-12/2022-12-16. Institute of Electrical and Electronics Engineers, Inc., 2022. ISSN 2157-4766. ISBN 979-8-3503-0967-6. DOI 10.1109/WIFS55849.2022.9975430.

ALFORD, R., et al. Knowledge Reformulation and Deception as a Defense Against Automated Cyber Adversaries. In: Proceedings of the International Florida Artificial Intelligence Research Society Conference. 35th International Florida Artificial Intelligence Research Society Conference, Florida, 2022-05-15/2022-05-18. Florida: LibraryPress@UF, 2022. ISSN 2334-0754. DOI 10.32473/flairs.v35i.130675.

ČERMÁK, V. and L. ADAM. Adversarial Examples by Perturbing High-level Features in Intermediate Decoder Layers. In: ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2. THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, Online Streaming, 2022-03-03/2022-03-05. Porto: SciTePress - Science and Technology Publications, 2022. p. 496-507. ISSN 2184-433X. ISBN 978-989-758-547-0. DOI 10.5220/0010892800003116.

VÁŇA, P. and J. FAIGL. Bounding optimal headings in the Dubins Touring Problem. In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 37th ACM/SIGAPP Symposium on Applied Computing, Virtual, 2022-04-25/2022-04-29. New York: ACM, 2022. p. 770-773. ISBN 978-1-4503-8713-2. DOI 10.1145/3477314.3507350.

CHRPA, L., et al. Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence. 36th AAAI Conference on Artificial Intelligence (AAAI-22), - virtual, 2022-02-22/2022-03-01. Menlo Park: AAAI Press, 2022. p. 9707-9715. ISSN 2159-5399. ISBN 978-1-57735-876-3. DOI 10.1609/aaai.v36i9.21205.

CHRPA, L., et al. Effective Planning in Resource-Competition Problems by Task Decomposition. In: Proceedings of the Fifteenth International Symposium on Combinatorial Search. SOCS 2022 : Symposium on Combinatorial Search, Vídeň, 2022-07-21/2022-07-23. Palo Alto, California: Association for the Advancement of Artificial Intelligence (AAAI), 2022. p. 47-55. vol. 15. ISBN 978-1-57735-873-2. DOI 10.1609/socs.v15i1.21751. Available from: https://ojs.aaai.org/index.php/SOCS/article/view/21751

Research Reports

ŠMUCLEROVÁ, M., et al. Zpráva o rizicích porušení lidských práv AI technologiemi a možnosti nápravy. [Research Report] Ambis, a.s., 2022. Report no. TL05000484-V4.

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