13136 / 13143 - Intelligent Data Analysis

Publikační činnost 2025

Články v časopisech WoS

BELLON, A. et al. Parametric Semidefinite Programming: Geometry of the Trajectory of Solutions. Mathematics of Operations Research. 2025, 50(1), 410-430. ISSN 0364-765X. DOI 10.1287/moor.2021.0097.

SIMOVA, Z. et al. Transcriptomics Insight into Occupational Exposure to Engineered Nanoparticles. Nanomedicine. 2025, 20(14), 1713-1727. ISSN 1743-5889. DOI 10.1080/17435889.2025.2527020.

CURTIS, F.E. et al. A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems. SIAM Journal on Optimization. 2025, 35(2), 1030-1059. ISSN 1095-7189. DOI 10.1137/23M1569460. Dostupné z: https://epubs.siam.org/doi/abs/10.1137/23M1569460

PELEŠKA, J. a G. ŠÍR. Tabular Transformers Meet Relational Databases. ACM Transactions on Intelligent Systems and Technology. 2025, 16(5), 555-578. ISSN 2157-6912. DOI 10.1145/3749991.

SIMA, M. et al. Transcriptomic Profiling of Mouse Mesenchymal Stem Cells Exposed to Metal-Based Nanoparticles. International Journal of Molecular Sciences. 2025, 26(15), 1-23. ISSN 1422-0067. DOI 10.3390/ijms26157583. Dostupné z: https://www.mdpi.com/1422-0067/26/15/7583

BOZORGNIA, F. a V. KUNGURTSEV. Optimal Control of Two-Phase Membrane Problem. Applied Mathematics & Optimization. 2025, 92(1), ISSN 0095-4616. DOI 10.1007/s00245-025-10282-2.

KRUTSKÝ, M. a G. ŠÍR. Geometric Deep Learning for the Rubik's Cube Group. IEEE Transactions on Neural Networks and Learning Systems. 2025, 36(12), 20214-20228. ISSN 2162-2388. DOI 10.1109/TNNLS.2025.3599009. Dostupné z: https://ieeexplore.ieee.org/document/11134077

MA, S. et al. Truss Topology Design under Harmonic Loads: Peak Power Minimization with Semidefinite Programming. Structural and Multidisciplinary Optimization. 2025, 68(2), 1-24. ISSN 1615-147X. DOI 10.1007/s00158-025-03973-5.

RYŠAVÝ, P. a F. ŽELEZNÝ. An Algorithm to Calculate the p-Value of the Monge-Elkan Distance. Journal of Computational Biology. 2025, 32(8), 797-812. ISSN 1557-8666. DOI 10.1089/cmb.2024.0854. Dostupné z: https://www.liebertpub.com/doi/10.1089/cmb.2024.0854

KREJCIK, Z. et al. Dysregulation of Transposable Elements and PIWI-interacting RNAs in Myelodysplastic Neoplasms. Biomarker Research. 2025, 13(1), 1-17. ISSN 2050-7771. DOI 10.1186/s40364-025-00725-x. Dostupné z: https://biomarkerres.biomedcentral.com/articles/10.1186/s40364-025-00725-x

ANUARBEKOV, A. a J. KLÉMA. Utilizing RNA-seq Data in Monotone Iterative Generalized Linear Model to Elevate Prior Knowledge Quality of the CircRNA-miRNA-mRNA Regulatory Axis. BMC Bioinformatics. 2025, 26(1), 1-35. ISSN 1471-2105. DOI 10.1186/s12859-025-06161-w. Dostupné z: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-025-06161-w

RYŠAVÝ, P. et al. circGPAcorr: an integrative tool for functional annotation of circular RNAs using expression data. BioData Mining. 2025, 18(1), ISSN 1756-0381. DOI 10.1186/s13040-025-00468-3.

Články v ostatních periodikách

HRUBA, P. et al. Transcriptomic Signatures of Antibody-mediated Rejection in Early Biopsies With Negative Histology in HLA-incompatible Kidney Transplantation. Transplantation Direct. 2025, 11(1), 1-8. ISSN 2373-8731. DOI 10.1097/TXD.0000000000001741.

ROSSNER, P. et al. Skin Wound Healing: The Impact of Treatment with Antimicrobial Nanoparticles and Mesenchymal Stem Cells. Journal of Xenobiotics. 2025, 15(4), 1-22. ISSN 2039-4713. DOI 10.3390/jox15040119. Dostupné z: https://www.mdpi.com/2039-4713/15/4/119

HOOSHYAR, D., G. ŠÍR a Y. YANG. Towards responsible AI for education: Hybrid human-AI to confront the elephant in the room. Computers and Education: Artificial Intelligence. 2025, 9(9), ISSN 2666-920X. DOI 10.1016/j.caeai.2025.100524. Dostupné z: https://www.sciencedirect.com/science/article/pii/S2666920X2500164X

AMBROZ, A. et al. Associations of Environmental Pollution with Pro-oxidant, Antioxidant and Inflammatory Markers in Pregnant Mothers and Newborns. Frontiers in Toxicology. 2025, 7 1-16. ISSN 2673-3080. DOI 10.3389/ftox.2025.1572486. Dostupné z: https://www.frontiersin.org/journals/toxicology/articles/10.3389/ftox.2025.1572486/full

Knihy, kapitoly v knihách, skripta, sborníky

IDLAHCEN, F., ed. Learning Tree-Structured Distributions. Ljubljana, 2025-09-23/2025-09-25. Cham: Springer Nature Publishing AG, 2025. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-032-05461-6_5

Stati ve sbornících konferencí

MENG, Q. et al. Model Enumeration of Two-Variable Logic with Quadratic Delay Complexity. In: Proceedings of 2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science. 2025 40th Annual ACM/IEEE Symposium on Logic in Computer Science, Singapore, 2025-06-23/2025-06-26. Los Alamitos, CA: IEEE Computer Soc., 2025. s. 301-313. ISSN 1043-6871. ISBN 979-8-3315-5464-4. DOI 10.1109/LICS65433.2025.00030.

ZOU, K. et al. Faster Lifting for Ordered Domains with Predecessor Relations. In: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). 28th European Conference on Artificial Intelligence, Bologna, 2025-10-27/2025-10-30. Amsterdam: IOS Press, 2025. s. 1784-1791. Frontiers in Artificial Intelligence and Applications. sv. 413. ISSN 1879-8314. ISBN 978-1-64368-631-8. DOI 10.3233/FAIA251008. Dostupné z: https://www.researchgate.net/publication/396786970_Faster_Lifting_for_Ordered_Domains_with_Predecessor_Relations

KRUTSKÝ, M. et al. Dimensions of Explainability in AI Alignment. In: Proceedings of the International Student Scientific Conference POSTER – 29/2025. 29th International Student Scientific Conference, POSTER 2025, Praha, 2025-05-22. Praha: ČVUT. Fakulta elektrotechnická, 2025. ISBN 978-80-01-07422-0. Dostupné z: https://poster2025.sciencesconf.org/data/pages/POSTER_2025.pdf

KRUTSKÝ, M. et al. XAI Desiderata for Trustworthy AI: Insights from the AI Act. In: FØLSTAD, A. et al., eds. Proceedings of TRUST-AI 2025 – the European Workshop on Trustworthy AI. The European Workshop on Trustworthy AI 2025, Bologna, 2025-10-25/2025-10-26. Aachen: CEUR Workshop Proceedings, 2025. s. 180-187. ISSN 1613-0073. Dostupné z: https://ceur-ws.org/Vol-4132/short12.pdf

KRUTSKÝ, M. et al. Binarizing Physics-Inspired GNNs for Combinatorial Optimization. In: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). 28th European Conference on Artificial Intelligence, Bologna, 2025-10-27/2025-10-30. Amsterdam: IOS Press, 2025. s. 2017-2024. Frontiers in Artificial Intelligence and Applications. sv. 413. ISSN 1879-8314. ISBN 978-1-64368-631-8. DOI 10.3233/FAIA251038. Dostupné z: https://ebooks.iospress.nl/doi/10.3233/FAIA251038

KRUTSKÝ, M. et al. Assessing Explainability Methods for AI Safety Governance. In: Large-Scale Risks of AI: Control, Governance, and Ethics. International Conference on Large-Scale AI Risks, Leuven, 2025-05-26/2025-05-28. KU Leuven, 2025. s. 21-22. Dostupné z: https://www.kuleuven.be/ethics-kuleuven/chair-ai/conference-ai-risks/xrisk-book_of_abstracts-1.pdf

PELEŠKA, J. a G. ŠÍR. REDELEX: A Framework for Relational Deep Learning Exploration. In: RIBEIRO, R.P. et al., eds. Machine Learning and Knowledge Discovery in Databases. Research Track. ECMLPKDD 2025: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, 2025-09-15/2025-09-19. Springer, Cham, 2025. s. 438-456. 1. sv. 2. ISSN 0302-9743. ISBN 978-3-032-05980-2. DOI 10.1007/978-3-032-05981-9_26.

NIU, M. et al. Joint Problems in Learning Multiple Dynamical Systems. In: 2025 61st Allerton Conference on Communication, Control, and Computing Proceedings. 2025 61st Allerton Conference on Communication, Control, and Computing, Urbana, 2025-09-17/2025-09-19. Urbana: University of Illinois Library System, 2025. s. 1-8. ISSN 2836-4503. Dostupné z: https://www.ideals.illinois.edu/items/137362

JIA, Y. et al. Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. In: Computer Vision – ECCV 2024, Part LXXVIII. ECCV2024: The 18th European Conference on Computer Vision, Milano, 2024-09-29/2024-10-04. Springer Nature, 2025. s. 18-33. LNCS. sv. 15136. ISSN 1611-3349. ISBN 978-3-031-91569-7. DOI 10.1007/978-3-031-73229-4_2. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-031-73229-4_2

HORČÍK, R. et al. State Encodings for GNN-Based Lifted Planners. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence. 39th AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, 2025-02-27/2025-03-02. Menlo Park: AAAI Press, 2025. s. 26525-26533. sv. 39. ISSN 2159-5399. ISBN 978-1-57735-897-8. DOI 10.1609/aaai.v39i25.34853.