13000 / 13133 - Publications - 2023

13000 / 13133 - Department of Cybernetics

Publications 2023

Papers in WoS Journals

HORACEK, J., et al. Several reasons why ketamine as a neuroplastic agent may have failed to prevent postoperative delirium: Implications for future protocols. Neuroscience Letters. 2023, 798 ISSN 1872-7972. DOI 10.1016/j.neulet.2023.137095. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0304394023000496

POKOŠOVÁ, P., et al. Magnetic Resonance Imaging Techniques for Indirect Assessment of Myelin Content in the Brain Using Standard T1w and T2w MRI Sequences and Postprocessing Analysis. Physiological Research. 2023, 72(Suppl5), S573-S585. ISSN 1802-9973. DOI 10.33549/physiolres.935250. Available from: https://www.biomed.cas.cz/physiolres/pdf/2023/72_S573.pdf

CONSTANTINIDES, C., et al. Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium. Molecular Psychiatry. 2023, 28(3), 1201-1209. ISSN 1476-5578. DOI 10.1038/s41380-022-01897-w. Available from: https://www.nature.com/articles/s41380-022-01897-w

REHÁK BUČKOVÁ, B., et al. Structural connectivity-based predictors of cognitive impairment in stroke patients attributable to aging. PLoS ONE. 2023, 18(4), ISSN 1932-6203. DOI 10.1371/journal.pone.0280892. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280892

CHALUPSKÝ, J., et al. Deep learning for laser beam imprinting. Optics Express. 2023, 31(12), 19703-19721. ISSN 1094-4087. DOI 10.1364/OE.481776.

REHÁK BUČKOVÁ, B., et al. Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis. Brain Imaging and Behavior. 2023, 17(1), 18-34. ISSN 1931-7565. DOI 10.1007/s11682-022-00737-3. Available from: https://link.springer.com/article/10.1007/s11682-022-00737-3

CARMESIN, S., et al. The Hamiltonian Cycle and Travelling Salesperson problems with traversal-dependent edge deletion. Journal of Computational Science. 2023, 74 ISSN 1877-7503. DOI 10.1016/j.jocs.2023.102156.

NĚMÝ, M., et al. Cholinergic white matter pathways along the Alzheimer's disease continuum. Brain. 2023, 146(5), 2075-2088. ISSN 1460-2156. DOI 10.1093/brain/awac385. Available from: https://academic.oup.com/brain/article/146/5/2075/6775152

WOLLER, D., J. RADA, and M. KULICH. The ALNS metaheuristic for the transmission maintenance scheduling. Journal of Heuristics. 2023, 29(2), 349-382. ISSN 1381-1231. DOI 10.1007/s10732-023-09514-x.

SUPIK, L., et al. Magnetic Field-Driven Bristle-Bots. IEEE Robotics and Automation Letters. 2023, 8(12), 8098-8105. ISSN 2377-3766. DOI 10.1109/LRA.2023.3324881. Available from: https://ieeexplore.ieee.org/document/10285878?source=authoralert

KOUBA, P., et al. Machine Learning-Guided Protein Engineering. ACS Catalysis. 2023, 13(21), 13863-13895. ISSN 2155-5435. DOI 10.1021/acscatal.3c02743.

Papers in Other Journals

MILETÍNOVÁ, E., et al. Alterations of sleep initiation in NREM parasomnia after sleep deprivation – A multimodal pilot study. Sleep Medicine: X. 2023, 6 ISSN 2590-1427. DOI 10.1016/j.sleepx.2023.100086. Available from: https://doi.org/10.1016/j.sleepx.2023.100086

Conference Proceedings

WOLLER, D., J. HRAZDÍRA, and M. KULICH. Metaheuristic Solver for Problems with Permutative Representation. In: Intelligent Computing & Optimization. 5th International Conference on Intelligent Computing & Optimization, Hua Hin, 2022-10-27/2022-10-28. Cham: Springer, 2023. p. 42-54. Lecture Notes in Networks and Systems. vol. 569. ISSN 2367-3370. ISBN 978-3-031-19957-8. DOI 10.1007/978-3-031-19958-5_5.

KOBZA, O., et al. Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations. In: 5th Proceedings of Alexa Prize (Alexa Prize 2022). Alexa Prize Live 2023, Boston, 2023-09-06. Amazon, 2023. 1. vol. 1. ISSN 2331-8422. Available from: https://www.amazon.science/alexa-prize/proceedings/alquist-5-0-dialogue-trees-meet-generative-models-a-novel-approach-for-enhancing-socialbot-conversations

MONTAUT, L., et al. Differentiable Collision Detection: a Randomized Smoothing Approach. In: 2023 IEEE International Conference on Robotics and Automation. Londýn, 2023-05-29/2023-06-02. Piscataway: IEEE, 2023. p. 3240-3246. ISSN 2577-087X. ISBN 979-8-3503-2365-8. DOI 10.1109/ICRA48891.2023.10160251.

ZAHRÁDKA, D., J. MIKULA, and M. KULICH. A Metaheuristic Approach for Inspection and Reconnaissance of Organized Areas. In: Modelling and Simulation for Autonomous Systems (MESAS 2022). 9th International Conference on Modelling and Simulation for Autonomous Systems, Praha, 2022-10-20/2022-10-21. Springer, Cham, 2023. p. 44-63. LNCS. vol. 13866. ISSN 0302-9743. ISBN 978-3-031-31267-0. DOI 10.1007/978-3-031-31268-7_3.

KULICH, M., J. VIDAŠIČ, and J. MIKULA. On the Travelling Salesman Problem with Neighborhoods in a Polygonal World. In: Robotics in Natural Settings CLAWAR 2022. 25th Conference Series on Climbing and Walking Robots and Support Technologies for Mobile Machines, Ponta Delgada, 2022-09-12/2022-09-14. Cham: Springer, 2023. p. 334-345. vol. 530. ISSN 2367-3370. ISBN 978-3-031-15225-2. DOI 10.1007/978-3-031-15226-9_32.

PÁNEK, V., Z. KÚKELOVÁ, and T. SATTLER. Visual Localization using Imperfect 3D Models from the Internet. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 13175-13186. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01266. Available from: https://ieeexplore.ieee.org/document/10204034

KOZÁK, V., et al. Towards Visual Classification Under Class Ambiguity. In: 2023 IEEE International Conference on Robotics and Automation. Londýn, 2023-05-29/2023-06-02. Piscataway: IEEE, 2023. p. 7032-7038. ISSN 2577-087X. ISBN 979-8-3503-2365-8. DOI 10.1109/ICRA48891.2023.10161568. Available from: https://doi.org/10.1109/ICRA48891.2023.10161568

VOBECKÝ, A., et al. POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, 2023-12-10/2023-12-16. Montreal: Neural Information Processing Society, 2023. ISSN 1049-5258. DOI 10.48550/arXiv.2401.09413.

KULHÁNEK, J. and T. SATTLER. Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 18412-18423. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01692.

PIVOŇKA, T., et al. Fiducial Marker-Based Monocular Localization for Autonomous Docking. In: 22nd IFAC World Congress. Yokohama, 2023-07-09/2023-07-14. Oxford: Elsevier Ltd, 2023. p. 2957-2962. IFAC-PapersOnLine. vol. 56. ISSN 2405-8963. DOI 10.1016/j.ifacol.2023.10.1419. Available from: https://www.sciencedirect.com/science/article/pii/S240589632301827X

KULICH, M., et al. Where to Place a Pile?. In: Proceedings of 11th European Conference on Mobile Robots. 11th European Conference on Mobile Robots, Coimbra, 2023-09-04/2023-09-07. Brighton: Institute of Electrical and Electronics Engineers, 2023. p. 312-318. ISSN 2639-7919. ISBN 979-8-3503-0704-7. DOI 10.1109/ECMR59166.2023.10256330.

BÁRTEK, F. and M. SUDA. How Much Should This Symbol Weigh? A GNN-Advised Clause Selection. In: Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR). 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR), Manizales, 2023-06-04/2023-06-09. Manchester: EasyChair Publications, 2023. p. 96-111. EPiC Series in Computing. vol. 94. ISSN 2398-7340. DOI 10.29007/5f4r. Available from: https://easychair.org/publications/paper/2BSs

BARATH, D., et al. A Large-Scale Homography Benchmark. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 21360-21370. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.02046. Available from: https://openaccess.thecvf.com/content/CVPR2023/papers/Barath_A_Large-Scale_Homography_Benchmark_CVPR_2023_paper.pdf

PIETRANTONI, M., et al. SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 15380-15391. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01476.

Research Reports

ZAHRÁDKA, D., D. KUBIŠTA, and M. KULICH. Solving Robust Execution of Multi-Agent Pathfinding Plans as a Scheduling Problem. [Research Report] 2023.

13133 / 13162 - Visual Recognition Group

Publications 2023

Papers in WoS Journals

JAVED, S., et al. Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 45(5), 6552-6574. ISSN 0162-8828. DOI 10.1109/TPAMI.2022.3212594.

DAI, D., et al. Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023, 45(1), 123-136. ISSN 0162-8828. DOI 10.1109/TPAMI.2022.3155643.

Patents

TOYOTA MOTOR CO LTD [JP]; CZECH TECHNICAL UNIVERSITY IN PRAGUE [CZ]. MONOCULAR-VISION-BASED DETECTION OF MOVING OBJECTS. Inventors: M. NEORAL, et al. European Patent Office. Patent EP4174770. 2023-11-29. Available from: https://worldwide.espacenet.com/patent/search/family/078414437/publication/EP4174770B1?q=pn%3DEP4174770B1

České vysoké učení technické v Praze. EFFICIENT UNCONSTRAINED STROKE DETECTOR. Inventors: M. BUŠTA, L. NEUMANN, and J. MATAS. European Patent Office. Patent EP3380990. 2023-06-07. Available from: https://worldwide.espacenet.com/patent/search/family/054979874/publication/EP3380990B1?q=EP3380990B1

Papers in Other Journals

PELHAN, J., et al. Guided Video Object Segmentation by Tracking. Electrotechnical Review. 2023, 90(4), 147-158. ISSN 0013-5852.

Conference Proceedings

DOGOULIS, P., et al. Improving Synthetically Generated Image Detection in Cross-Concept Settings. In: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23). ACM International Conference on Multimedia Retrieval (ICMR '23), Thessaloniki, 2023-06-12/2023-06-15. New York: ACM, 2023. p. 28-35. ISBN 979-8-4007-0187-0. DOI 10.1145/3592572.3592846.

ŠERÝCH, J. and J. MATAS. Planar Object Tracking via Weighted Optical Flow. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. p. 1593-1602. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00164. Available from: https://ieeexplore.ieee.org/document/10030801

VENTURA, J., et al. P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 19694-19704. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01809.

VOJÍŘ, T. and J. MATAS. Image-Consistent Detection of Road Anomalies As Unpredictable Patches. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. p. 5480-5489. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00545. Available from: https://openaccess.thecvf.com/content/WACV2023/html/Vojir_Image-Consistent_Detection_of_Road_Anomalies_As_Unpredictable_Patches_WACV_2023_paper.html

PAPLHÁM, J., V. FRANC, and D. LŽÍČAŘOVÁ. Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 18th International Joint Conference on Computer Vision Theory and Applications, Lisboa, 2023-02-19/2023-02-21. Setùbal: SciTePress, 2023. p. 777-784. vol. 4. ISSN 2184-4321. ISBN 978-989-758-634-7. DOI 10.5220/0011616100003417.

ŠIMSA, Š., et al. Extended Overview of DocILE 2023: Document Information Localization and Extraction. In: Proceedings of the Working Notes of CLEF 2023. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Aachen: CEUR Workshop Proceedings, 2023. p. 546-571. vol. 3497. ISSN 1613-0073.

ŠIMSA, Š., et al. Overview of DocILE 2023: Document Information Localization and Extraction. In: Proceedings of the CLEF 2023: Experimental IR Meets Multilinguality, Multimodality, and Interaction. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Cham: Springer, 2023. p. 276-293. LNCS. vol. 14163. ISSN 0302-9743. ISBN 978-3-031-42447-2. DOI 10.1007/978-3-031-42448-9_21.

PICEK, L., et al. Overview of FungiCLEF 2023: Fungi Recognition Beyond 1/0 Cost. In: Proceedings of the Working Notes of CLEF 2023. clef2023: 14th International Conference of the CLEF Association, Thessaloniki, 2023-09-18/2023-09-21. Aachen: CEUR Workshop Proceedings, 2023. p. 1943-1953. vol. 3497. ISSN 1613-0073.

PÁNEK, V., Z. KÚKELOVÁ, and T. SATTLER. Visual Localization using Imperfect 3D Models from the Internet. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 13175-13186. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01266. Available from: https://ieeexplore.ieee.org/document/10204034

ROZUMNYI, D., et al. Tracking by 3D Model Estimation of Unknown Objects in Videos. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 14040-14050. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01295.

WEI, T., et al. Generalized Differentiable RANSAC. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 17603-17614. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01618.

VOŠAHLÍK, D., et al. Vehicle Dynamics Trajectory Planning: Minimum Violation Planning Modifications Reducing Computational Time. In: 2023 SICE International Symposium on Control Systems. Kusatsu, 2023-03-09/2023-03-11. Piscataway: IEEE, 2023. p. 27-32. ISBN 978-4-907764-76-0. DOI 10.23919/SICEISCS57194.2023.10079204. Available from: https://ieeexplore.ieee.org/document/10079204

KORDOPATIS-ZILOS, G., et al. Self-Supervised Video Similarity Learning. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Whorkshops (CVPRW). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 4756-4766. ISSN 2160-7516. ISBN 979-8-3503-0249-3. DOI 10.1109/CVPRW59228.2023.00504. Available from: https://openaccess.thecvf.com/content/CVPR2023W/L3D-IVU/papers/Kordopatis-Zilos_Self-Supervised_Video_Similarity_Learning_CVPRW_2023_paper.pdf

BHAYANI, S., et al. Partially calibrated semi-generalized pose from hybrid point correspondences. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. p. 2881-2890. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00290.

ŠUMA, P. and G. TOLIAS. Large-to-small Image Resolution Asymmetry in Deep Metric Learning. In: Proc. of the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, 2023-01-03/2023-01-07. Piscataway: IEEE, 2023. p. 1451-1460. ISSN 2642-9381. ISBN 978-1-6654-9346-8. DOI 10.1109/WACV56688.2023.00150. Available from: https://ieeexplore.ieee.org/document/10030552

KRISTAN, M., et al. The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. In: ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Anchorage, Alaska: IEEE, 2023. p. 1788-1810. ISSN 2473-9944. ISBN 979-8-3503-0744-3. DOI 10.1109/ICCVW60793.2023.00195. Available from: https://ieeexplore.ieee.org/document/10350713

SHEKHOVTSOV, O. Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator. In: International Conference on Machine Learning (ICML). Honolulu, USA, 2023-07-23/2023-07-29. Proceedings of Machine Learning Research, 2023. p. 30931-30955. ISSN 2640-3498. Available from: https://proceedings.mlr.press/v202/shekhovtsov23a.html

BARATH, D., et al. Finding Geometric Models by Clustering in the Consensus Space. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 5414-5424. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.00524. Available from: https://ieeexplore.ieee.org/document/10203844

SUNDERMEYER, M., et al. BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Whorkshops (CVPRW). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 2785-2794. ISSN 2160-7508. ISBN 979-8-3503-0250-9. DOI 10.1109/CVPRW59228.2023.00279.

CHELANI, K., et al. Privacy-Preserving Representations are not Enough: Recovering Scene Content from Camera Poses. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 13132-13141. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.01262. Available from: https://openaccess.thecvf.com/content/CVPR2023/papers/Chelani_Privacy-Preserving_Representations_Are_Not_Enough_Recovering_Scene_Content_From_Camera_CVPR_2023_paper.pdf

ŠUBRTOVÁ, A., et al. Diffusion Image Analogies. In: BRUNVAND, E., A. SHEFFER, and M. WIMMER, eds. ACM SIGGRAPH 2023 Conference Proceedings. SIGGRAPH 2023, Los Angeles, 2023-08-06/2023-08-10. New York: ACM SIGGRAPH, 2023. ISBN 979-8-4007-0159-7. DOI 10.1145/3588432.3591558.

VÁVRA, V., D. MISHKIN, and J. MATAS. DoG Accuracy Via Equivariance: Get The Interpolation Right. In: 2023 IEEE International Conference on Image Processing (ICIP). Kuala Lumpur, 2023-10-08/2023-10-11. New York: Institute of Electrical and Electronics Engineers, 2023. p. 136-140. ISBN 978-1-7281-9835-4. DOI 10.1109/ICIP49359.2023.10222153. Available from: https://ieeexplore.ieee.org/document/10222153

ŠIMSA, Š., et al. DocILE Benchmark for Document Information Localization and Extraction. In: ICDAR 2023: Proceedings of the Document Analysis and Recognition, Part II. ICDAR2023:Document Analysis and Recognition, San José, 2023-08-21/2023-08-26. Cham: Springer, 2023. p. 147-166. LNCS. vol. 14188. ISSN 0302-9743. ISBN 978-3-031-41678-1. DOI 10.1007/978-3-031-41679-8_9.

WEI, T., J. MATAS, and D. BARÁTH. Adaptive Reordering Sampler with Neurally Guided MAGSAC. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 18117-18127. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01665.

MÖHWALD, A., T. JENÍČEK, and O. CHUM. Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 11119-11129. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01024.

RUSTLER, L., J. MATAS, and M. HOFFMANN. Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Detroit, MA, 2023-10-01/2023-10-05. Piscataway: IEEE, 2023. p. 3121-3128. ISSN 2153-0866. ISBN 978-1-6654-9190-7. DOI 10.1109/IROS55552.2023.10342200. Available from: https://ieeexplore.ieee.org/document/10342200

YPSILANTIS, N., et al. Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. In: ICCV2023: Proceedings of the International Conference on Computer Vision. ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Piscataway: IEEE, 2023. p. 11256-11267. ISSN 1550-5499. ISBN 979-8-3503-0719-1. DOI 10.1109/ICCV51070.2023.01037.

JANOUŠKOVÁ, K., et al. Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. In: Computer Vision – ECCV 2022 Workshops, Part III. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2023. p. 244-257. LNCS. vol. 13803. ISSN 0302-9743. ISBN 978-3-031-25065-1. DOI 10.1007/978-3-031-25082-8_16.

BARATH, D., et al. A Large-Scale Homography Benchmark. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, 2023-06-18/2023-06-22. USA: IEEE Computer Society, 2023. p. 21360-21370. ISSN 2575-7075. ISBN 979-8-3503-0129-8. DOI 10.1109/CVPR52729.2023.02046. Available from: https://openaccess.thecvf.com/content/CVPR2023/papers/Barath_A_Large-Scale_Homography_Benchmark_CVPR_2023_paper.pdf

KRISTAN, M., et al. The Tenth Visual Object Tracking VOT2022 Challenge Results. In: Computer Vision – ECCV 2022 Workshops, Part VIII. ECCV 2022 - 17th European Conference on Computer Vision, Tel Aviv, 2022-10-23/2022-10-27. Cham: Springer, 2023. p. 431-460. Lecture Notes in Computer Science. vol. 13808. ISSN 0302-9743. ISBN 978-3-031-25084-2. DOI 10.1007/978-3-031-25085-9_25.

VOJÍŘ, T., et al. Calibrated Out-of-Distribution Detection with a Generic Representation. In: ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). ICCV2023: IEEE International Conference on Computer Vision, Paris, 2023-10-02/2023-10-06. Anchorage, Alaska: IEEE, 2023. p. 4509-4518. ISSN 2473-9944. ISBN 979-8-3503-0744-3. DOI 10.1109/ICCVW60793.2023.00485. Available from: https://openaccess.thecvf.com/content/ICCV2023W/UnCV/html/Vojir_Calibrated_Out-of-Distribution_Detection_with_a_Generic_Representation_ICCVW_2023_paper.html

BERTRAND, J., et al. Test-time Training for Matching-based Video Object Segmentation. In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, 2023-12-10/2023-12-16. Montreal: Neural Information Processing Society, 2023. ISSN 1049-5258.

BERTRAND, J., Y. KALANTIDIS, and G. TOLIAS. Rethinking matching-based few-shot action recognition. In: GADE, R., M. FELSBERG, and J.-K. KÄMÄRÄINEN, eds. SCIA 2023: Image Analysis, Part I. SCIA2023: 22nd Scandinavian Conference, Sirkka, 2023-04-18/2023-04-21. Cham: Springer, 2023. p. 215-236. LNCS. vol. 13885. ISSN 0302-9743. ISBN 978-3-031-31434-6. DOI 10.1007/978-3-031-31435-3_15.

13133 / 13163 - Biomedical imaging algorithms

Publications 2023

Papers in WoS Journals

KUNT, L., et al. Automatic caries detection in bitewing radiographs: part I---deep learning. Clinical Oral Investigations. 2023, 27(12), 7463-7471. ISSN 1436-3771. DOI 10.1007/s00784-023-05335-1. Available from: https://link.springer.com/article/10.1007/s00784-023-05335-1

CHALUPSKÝ, J., et al. Deep learning for laser beam imprinting. Optics Express. 2023, 31(12), 19703-19721. ISSN 1094-4087. DOI 10.1364/OE.481776.

ČERNÝ, M., et al. Fully automated imaging protocol independent system for pituitary adenoma segmentation: a convolutional neural network—based model on sparsely annotated MRI. Neurosurgical Review. 2023, 46(1), ISSN 0344-5607. DOI 10.1007/s10143-023-02014-3.

LE, A.V., et al. Improved recovery and annotation of genes in metagenomes through the prediction of fungal introns. Molecular Ecology Resources. 2023, 23(8), 1800-1811. ISSN 1755-098X. DOI 10.1111/1755-0998.13852.

Conference Proceedings

BARUČIĆ, D. and J. KYBIC. Learning to segment from object thickness annotations. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). International Symposium on Biomedical Imaging, Cartagena de Indias, 2023-04-18/2023-04-21. New Jersey: IEEE Signal Processing Society, 2023. ISSN 1945-8452. ISBN 978-1-6654-7358-3. DOI 10.1109/ISBI53787.2023.10230621. Available from: https://ieeexplore.ieee.org/document/10230621

13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2023

Papers in WoS Journals

GEBREHIWOT, A., et al. Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data. IEEE Robotics and Automation Letters. 2023, 8(2), 536-543. ISSN 2377-3766. DOI 10.1109/LRA.2022.3226029. Available from: https://arxiv.org/abs/2207.06079

AGISHEV, R., T. PETŘÍČEK, and K. ZIMMERMANN. Self-Supervised Depth Correction of Lidar Measurements From Map Consistency Loss. IEEE Robotics and Automation Letters. 2023, 8(8), 4681-4688. ISSN 2377-3766. DOI 10.1109/LRA.2023.3287791. Available from: https://ieeexplore.ieee.org/document/10158328/

SOMOGYI, E., et al. Tactile training facilitates infants' ability to reach to targets on the body. Child Development. 2023, 94(3), e154-e165. ISSN 1467-8624. DOI 10.1111/cdev.13891. Available from: https://srcd.onlinelibrary.wiley.com/doi/10.1111/cdev.13891

GAMA, F., et al. Goal-directed tactile exploration for body model learning through self-touch on a humanoid robot. IEEE Transactions on Cognitive and Developmental Systems. 2023, 15(2), 419-433. ISSN 2379-8920. DOI 10.1109/TCDS.2021.3104881.

Papers in Other Journals

PETRLÍK, M., et al. UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT. Field Robotics. 2023, 3 1-68. ISSN 2771-3989. DOI 10.55417/fr.2023001. Available from: https://fieldrobotics.net/Field_Robotics/Volume_3_files/Vol3_01.pdf

Conference Proceedings

MORAVEC, J. and R. ŠÁRA. StOCaMo: Online Calibration Monitoring for Stereo Cameras. In: Pattern Recognition and Image Analysis. IbPRIA 2023. Pattern Recognition and Image Analysis, 11th Iberian Conference, Alicante, 2023-06-27/2023-06-30. Cham: Springer Nature Switzerland AG, 2023. p. 336-350. LNCS. vol. 14062. ISSN 0302-9743. ISBN 978-3-031-36615-4. DOI 10.1007/978-3-031-36616-1_27.

PATNI, S. and M. HOFFMANN. Examining Tactile Feature Extraction for Shape Reconstruction in Robotic Grippers. In: Embracing Contacts Workshop - ICRA 2023. 2023 IEEE International Conference on Robotics and Automation, Londýn, 2023-05-29/2023-06-02. Massachusetts: OpenReview.net / University of Massachusetts, 2023. Available from: https://openreview.net/forum?id=6zydzzwfe3

GEBREHIWOT, A., et al. T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Detroit, MA, 2023-10-01/2023-10-05. Piscataway: IEEE, 2023. p. 7643-7650. ISSN 2153-0866. ISBN 978-1-6654-9190-7. DOI 10.1109/IROS55552.2023.10341446. Available from: https://arxiv.org/abs/2309.08302

ROZLIVEK, J., P. ŠVARNÝ, and M. HOFFMANN. Perirobot Space Representation for HRI: Measuring and Designing Collaborative Workspace Coverage by Diverse Sensors. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Detroit, MA, 2023-10-01/2023-10-05. Piscataway: IEEE, 2023. p. 5958-5965. ISSN 2153-0866. ISBN 978-1-6654-9190-7. DOI 10.1109/IROS55552.2023.10341829. Available from: https://ieeexplore.ieee.org/document/10341829

PATNI, S. and M. HOFFMANN. Shape Reconstruction Task for Transfer of Haptic Information between Robotic Setups. In: Transferability in Robotics Workshop - ICRA 2023. 2023 IEEE International Conference on Robotics and Automation, Londýn, 2023-05-29/2023-06-02. Microsoft CMT, 2023. Available from: https://transferabilityinrobotics.github.io/icra2023/spotlight/TRW07_abstract.pdf

ŠEBEK, P., et al. Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation. In: Computer Vision Winter Workshop 2023. Computer Vision Winter Workshop, Krems a.d. Donau, 2023-02-15/2023-02-17. CEUR-WS.org, 2023. ISSN 1613-0073. Available from: https://ceur-ws.org/Vol-3349/paper8.pdf

PATNI, S. and M. HOFFMANN. Touch Primitives for Gripper-Independent Haptic Object Modeling. In: Workshop on effective Representations, Abstractions, and Priors for Robot Learning - ICRA 2023. 2023 IEEE International Conference on Robotics and Automation, Londýn, 2023-05-29/2023-06-02. Microsoft CMT, 2023. Available from: https://drive.google.com/file/d/1tQasIvbVkO6nFLyBuNl8RVlDDw5_ltdr/view

RUSTLER, L., J. MATAS, and M. HOFFMANN. Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Detroit, MA, 2023-10-01/2023-10-05. Piscataway: IEEE, 2023. p. 3121-3128. ISSN 2153-0866. ISBN 978-1-6654-9190-7. DOI 10.1109/IROS55552.2023.10342200. Available from: https://ieeexplore.ieee.org/document/10342200

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2023

Papers in WoS Journals

YAO, X., et al. AdaD-FNN for Chest CT-Based COVID-19 Diagnosis. IEEE Transactions on Emerging Topics in Computational Intelligence. 2023, 7(1), 5-14. ISSN 2471-285X. DOI 10.1109/TETCI.2022.3174868.

FOREJTOVÁ, Z., et al. The complex syndrome of functional neurological disorder. Psychological Medicine. 2023, 53(7), 3157-3167. ISSN 0033-2917. DOI 10.1017/S0033291721005225.

NOVÁKOVÁ, L., et al. Increased Frequency of Self-Reported Obsessive-Compulsive Symptoms in Patients with Functional Movement Disorders. Movement Disorders Clinical Practice. 2023, 10(9), 1341-1348. ISSN 2330-1619. DOI 10.1002/mdc3.13812.

KANG, C., et al. Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2023, 31 2964-2973. ISSN 1534-4320. DOI 10.1109/TNSRE.2023.3293051.

KANG, C., X. YAO, and D. NOVÁK. Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks. Applied Sciences. 2023, 13(6), ISSN 2076-3417. DOI 10.3390/app13064019. Available from: https://www.mdpi.com/2076-3417/13/6/4019

13133 / 13167 - Multi-robot Systems

Publications 2023

Papers in WoS Journals

PETRÁČEK, P., et al. New Era in Cultural Heritage Preservation: Cooperative Aerial Autonomy for Fast Digitalization of Difficult-to-Access Interiors of Historical Monuments. IEEE ROBOTICS & AUTOMATION MAGAZINE. 2023, 31(2), 8-25. ISSN 1558-223X. DOI 10.1109/MRA.2023.3244423. Available from: https://ieeexplore.ieee.org/document/10056379

MOKSSIT, S., et al. Deep Learning Techniques for Visual SLAM : a Survey. IEEE Access. 2023, 11 20026-20050. ISSN 2169-3536. DOI 10.1109/ACCESS.2023.3249661. Available from: https://ieeexplore.ieee.org/document/10054007

BONILLA LICEA, D., et al. Energy-efficient fixed-wing UAV relay with considerations of airframe shadowing. IEEE Communications Letters. 2023, 27(6), 1550-1554. ISSN 1089-7798. DOI 10.1109/LCOMM.2023.3264780.

GUPTA, P.M., et al. Landing a UAV in Harsh Winds and Turbulent Open Waters. IEEE Robotics and Automation Letters. 2023, 8(2), 744-751. ISSN 2377-3766. DOI 10.1109/LRA.2022.3231831. Available from: https://ieeexplore.ieee.org/document/9998066

BÁČA, T., et al. Autonomous Cooperative Wall Building by a Team of Unmanned Aerial Vehicles in the MBZIRC 2020 Competition. Robotics and Autonomous Systems. 2023, 167 ISSN 0921-8890. DOI 10.1016/j.robot.2023.104482.

HEŘT, D., et al. MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems. Journal of Intelligent and Robotic Systems. 2023, 108(4), ISSN 0921-0296. DOI 10.1007/s10846-023-01879-2.

NOVOSAD, M., R. PĚNIČKA, and V. VONÁSEK. CTopPRM: Clustering Topological PRM for Planning Multiple Distinct Paths in 3D Environments. IEEE Robotics and Automation Letters. 2023, 8(11), 7336-7343. ISSN 2377-3766. DOI 10.1109/LRA.2023.3315539. Available from: https://ieeexplore.ieee.org/document/10251650

CHLEBOUN, J., et al. An Improved Spanning Tree-Based Algorithm for Coverage of Large Areas Using Multi-UAV Systems. Drones. 2023, 7(1), 9-26. ISSN 2504-446X. DOI 10.3390/drones7010009.

PRITZL, V., et al. Adaptive estimation of UAV altitude in complex indoor environments using degraded and time-delayed measurements with time-varying uncertainties. Robotics and Autonomous Systems. 2023, 160 ISSN 0921-8890. DOI 10.1016/j.robot.2022.104315.

HORYNA, J., et al. Decentralized swarms of unmanned aerial vehicles for search and rescue operations without explicit communication. Autonomous Robots. 2023, 47(1), 77-93. ISSN 0929-5593. DOI 10.1007/s10514-022-10066-5.

NEKOVÁŘ, F., J. FAIGL, and M. SASKA. Multi-vehicle Dynamic Water Surface Monitoring. IEEE Robotics and Automation Letters. 2023, 8(10), 6323-6330. ISSN 2377-3766. DOI 10.1109/LRA.2023.3304533. Available from: https://ieeexplore.ieee.org/abstract/document/10214661

ELKHAPERY, B., et al. Metaheuristic planner for cooperative multi-agent wall construction with UAVs. Automation in Construction. 2023, 152 ISSN 0926-5805. DOI 10.1016/j.autcon.2023.104908.

CABALLERO, A. and G. SILANO. A Signal Temporal Logic Motion Planner for Bird Diverter Installation Tasks With Multi-Robot Aerial Systems. IEEE Access. 2023, 11 81361-81377. ISSN 2169-3536. DOI 10.1109/ACCESS.2023.3300240. Available from: https://ieeexplore.ieee.org/document/10197369

MADRUGA, S.P., et al. Estimating the Loss of Effectiveness of UAV Actuators in the Presence of Aerodynamic Effects. IEEE Robotics and Automation Letters. 2023, 8(3), 1335-1342. ISSN 2377-3766. DOI 10.1109/lra.2023.3238184. Available from: https://ieeexplore.ieee.org/document/10021662

Papers in Other Journals

PETRLÍK, M., et al. UAVs Beneath the Surface: Cooperative Autonomy for Subterranean Search and Rescue in DARPA SubT. Field Robotics. 2023, 3 1-68. ISSN 2771-3989. DOI 10.55417/fr.2023001. Available from: https://fieldrobotics.net/Field_Robotics/Volume_3_files/Vol3_01.pdf

Conference Proceedings

ROCHA, L., M. SASKA, and K. TEIXEIRA VIVALDINI. Overview of UAV Trajectory Planning for High-Speed Flight. In: 2023 International Conference on Unmanned Aircraft Systems (ICUAS). Warsaw, 2023-06-06/2023-06-09. Paříž: IEEE Industrial Electronics Society, 2023. p. 110-117. ISSN 2575-7296. ISBN 979-8-3503-1037-5. DOI 10.1109/ICUAS57906.2023.10156610. Available from: https://ieeexplore.ieee.org/abstract/document/10156610

SONG, Y., et al. Learning Perception-Aware Agile Flight in Cluttered Environments. In: 2023 IEEE International Conference on Robotics and Automation. Londýn, 2023-05-29/2023-06-02. Piscataway: IEEE, 2023. p. 1989-1995. ISSN 2577-087X. ISBN 979-8-3503-2365-8. DOI 10.1109/ICRA48891.2023.10160563. Available from: https://ieeexplore.ieee.org/abstract/document/10160563

BONILLA LICEA, D., et al. Communications-Aware Robotics: Challenges and Opportunities. In: 2023 International Conference on Unmanned Aircraft Systems (ICUAS). Warsaw, 2023-06-06/2023-06-09. Paříž: IEEE Industrial Electronics Society, 2023. p. 366-371. ISSN 2575-7296. ISBN 979-8-3503-1037-5. DOI 10.1109/ICUAS57906.2023.10155882. Available from: https://ieeexplore.ieee.org/document/10155882

SILANO, G., et al. A Signal Temporal Logic Planner for Ergonomic Human-Robot Collaboration. In: 2023 International Conference on Unmanned Aircraft Systems (ICUAS). Warsaw, 2023-06-06/2023-06-09. Paříž: IEEE Industrial Electronics Society, 2023. p. 328-335. ISSN 2575-7296. ISBN 979-8-3503-1037-5. DOI 10.1109/ICUAS57906.2023.10156559. Available from: https://ieeexplore.ieee.org/document/10156559

SALES, A.V., et al. Heterogeneous Multi-Robot Systems Approach for Warehouse Inventory Management. In: 2023 International Conference on Unmanned Aircraft Systems (ICUAS). Warsaw, 2023-06-06/2023-06-09. Paříž: IEEE Industrial Electronics Society, 2023. p. 389-394. ISSN 2575-7296. ISBN 979-8-3503-1037-5. DOI 10.1109/ICUAS57906.2023.10155890. Available from: https://ieeexplore.ieee.org/document/10155890

13133 / 13168 - Machine Learning

Publications 2023

Papers in WoS Journals

BUREŠOVÁ, D. Generalized XOR operation and the categorical equivalence of the Abbott algebras and quantum logics. International Journal of Theoretical Physics. 2023, 62 ISSN 0020-7748. DOI 10.1007/s10773-023-05355-3.

DLASK, T. and T. WERNER. Activity propagation in systems of linear inequalities and its relation to block-coordinate descent in linear programs. CONSTRAINTS. 2023, 28 244-276. ISSN 1383-7133. DOI 10.1007/s10601-023-09349-0.

VORÁČEK, V. and P. PTÁK. A Symmetric-Difference-Closed Orthomodular Lattice That Is Stateless. ORDER-A JOURNAL ON THE THEORY OF ORDERED SETS AND ITS APPLICATIONS. 2023, 40(2), 397-402. ISSN 0167-8094. DOI 10.1007/s11083-022-09621-7.

DLASK, T., T. WERNER, and S. DE GIVRY. Super-Reparametrizations of Weighted CSPs: Properties and Optimization Perspective. CONSTRAINTS. 2023, 28 277-319. ISSN 1383-7133. DOI 10.1007/s10601-023-09343-6.

BUREŠOVÁ, D. and P. PTÁK. On the set-representable orthomodular posets that are point-distinguishing. International Journal of Theoretical Physics. 2023, 62 ISSN 0020-7748. DOI 10.1007/s10773-023-05436-3.

FRANC, V., D. PRŮŠA, and V. VORÁČEK. Optimal Strategies for Reject Option Classifiers. Journal of Machine Learning Research. 2023, 24 ISSN 1532-4435.

NAVARA, M. and J. ŠEVIC. Maximum likelihood estimator of quantum probabilities. International Journal of Theoretical Physics. 2023, 62 ISSN 1572-9575. DOI 10.1007/s10773-023-05469-8. Available from: https://rdcu.be/dnWil

BUREŠOVÁ, D. and P. PTÁK. On locally finite orthomodular lattices. Mathematica Slovaca. 2023, 73(2), 545-549. ISSN 0139-9918. DOI 10.1515/ms-2023-0040.

GUILLON, B., et al. Weight-reducing Turing machines. Information and Computation. 2023, 292 ISSN 0890-5401. DOI 10.1016/j.ic.2023.105030.

Papers in Other Journals

PRŮŠA, D. Two-Dimensional Rank-Reducing Grammars and Their Complexity. Journal of Automata, Languages and Combinatorics. 2023, 28(1-3), 143-166. ISSN 2567-3785. DOI 10.25596/jalc-2023-143. Available from: https://jalc.de/issues/2023/issue_28_1-3/jalc-2023-143-166.php

Conference Proceedings

HOUŠKOVÁ, K. and M. NAVARA. Relations between the shapes of triangular norms and their generators. In: DURANTE, F., et al., eds. Copulas. Theory and Applications. 40th Linz Seminar on Fuzzy Set Theory, Linz, 2023-06-06/2023-06-09. Linz: Johannes Kepler University, 2023. p. 42-46. ISBN 978-3-903480-02-5.

MONTALBANO, P., et al. Virtual Pairwise Consistency in Cost Function Networks. In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 20th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Nice, 2023-05-29/2023-06-01. Basel: Springer Nature Switzerland AG, 2023. p. 417-426. Lecture Notes in Computer Science. vol. 13884. ISSN 0302-9743. ISBN 978-3-031-33270-8. DOI 10.1007/978-3-031-33271-5_27.

BURDA, M., M. NAVARA, and M. ŠTĚPNIČKA. Criticism of the center of gravity defuzzification. In: MASSANET, S., et al., eds. EUSFLAT 2023 and AGOP 2023. Book of Abstracts.. 13th Conference of the European Society for Fuzzy Logic, Palma, 2023-09-04/2023-09-08. Palma de Mallorca: Universitat de les Illes Balears, 2023. p. 20-21. ISBN 978-84-09-52808-0. Available from: https://www.eusflat2023.eu/88603/section/45235/eusflat-13th-conference-of-the-european-society-for-fuzzy-logic-and-technology-jointly-with-the-ago.html

PAPLHÁM, J., V. FRANC, and D. LŽÍČAŘOVÁ. Detection of Microscopic Fungi and Yeast in Clinical Samples Using Fluorescence Microscopy and Deep Learning. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 18th International Joint Conference on Computer Vision Theory and Applications, Lisboa, 2023-02-19/2023-02-21. Setùbal: SciTePress, 2023. p. 777-784. vol. 4. ISSN 2184-4321. ISBN 978-989-758-634-7. DOI 10.5220/0011616100003417.

FRANC, V., D. PRŮŠA, and A. YERMAKOV. Consistent and Tractable Algorithm for Markov Network Learning. In: Machine Learning and Knowledge Discovery in Databases, Part IV. ECML PKDD 2022: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Grenoble, 2022-09-19/2022-09-23. Cham: Springer, 2023. p. 435-451. Lecture Notes in Computer Science. vol. 13716. ISSN 0302-9743. ISBN 978-3-031-26411-5. DOI 10.1007/978-3-031-26412-2_27.

MRÁZ, F., et al. One-Side Pumping and Two-Side Pumping by Complete CF(¢, $)-grammars. In: Proceedings of the 23rd Conference Information Technologies – Applications and Theory (ITAT 2023). ITAT 2023 Information Technologies – Applications and Theory 2023, Tatranské Matliare, 2023-09-22/2023-09-26. Aachen: CEUR Workshop Proceedings, 2023. p. 110-120. ISSN 1613-0073. Available from: https://ceur-ws.org/Vol-3498/paper14.pdf

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