Výpis publikací

HAMANN, Hendrik F., Thomas BRUNSCHWILER, Blazhe GJORGIEV, Leonardo S. A. MARTINS, Alban PUECH, Anna VARBELLA, Jonas WEISS, Juan BERNABE-MORENO, Alexandre Blondin MASSÉ, Seong CHOI, Ian FOSTER, Bri-Mathias HODGE, Rishabh JAIN, Kibaek KIM, Vincent MAI, Francois MIRALLES, Martin DE MONTIGNY, Octavio RAMOS-LEANOS, Hussein SUPREME, Le XIE, El-Nasser S. YOUSSEF, Arnaud ZINFLOU, Aliaksandr BELY, Ricardo J. BESSA, Bishnu Prasad BHATTARI, Johannes SCHMUDE a Stanislav SOBOLEVSKY. A Perspective on Foundation Models for the Electric Power Grid. Joule. Cell Press, 2024. ISSN 2542-4785.

DVOŘÁK, Tadeáš, Markéta MAKAROVÁ, Devashish KHULBE, Radim LÍSKOVEC, Ondřej MALINA, David GORNÝ, Pavel MORCINEK, Tomáš POMPA, Ondřej MIKEŠ, Veronika ECLEROVÁ, Filip ZLÁMAL, Stanislav SOBOLEVSKY, Ondřej MULÍČEK a Julie DOBROVOLNÁ. How We Perceive Places: Measuring Biomarkers of Stress in Urban Environments Using Personal Exposure Sensors, Deep Learning and Functional Data Analysis. In Rachel McDonnell, Lauren Buck, Julien Pettré, Manfred Lau, Göksu Yamaç. SAP '24: ACM Symposium on Applied Perception 2024. New York: Association for Computing Machinery, Inc, 2024, s. 1-3. ISBN 979-8-4007-1061-2. Dostupné z: https://dx.doi.org/10.1145/3675231.3678876.

LEI, Zengxiang, Jiawei XUE, Xiaowei CHEN, Xinwu QIAN, Charitha SAUMYA, Mingyi HE, Stanislav SOBOLEVSKY, Milind KULKARNI a V Ukkusuri SATISH. METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. SIMULATION MODELLING PRACTICE AND THEORY. NETHERLANDS: ELSEVIER, 2024, roč. 132, April 2024, s. 102898-102922. ISSN 1569-190X. Dostupné z: https://dx.doi.org/10.1016/j.simpat.2024.102898.

MISHINA, Margarita, Sergey MITYAGIN, Aliaksandr BELY, Alexander KHRULKOV a Stanislav SOBOLEVSKY. Towards Urban Accessibility: Modeling Trip Distribution to Assess the Provision of Social Facilities. Smart Cities. MDPI, 2024, roč. 7, č. 5, s. 2741-2762. ISSN 2624-6511. Dostupné z: https://dx.doi.org/10.3390/smartcities7050106.

BOGOMOLOV, Jura, Aliaksandr BELY a Stanislav SOBOLEVSKY. Urban delineation through a prism of intraday commute patterns. Frontiers in Big Data. Frontiers Media S.A., 2024, roč. 7, March 2024, s. 1-8. ISSN 2624-909X. Dostupné z: https://dx.doi.org/10.3389/fdata.2024.1356116.

KHULBE, Devashish, Chaogui KANG, Satish UKKUSURI a Stanislav SOBOLEVSKY. A Probabilistic Simulation Framework to Assess the Impacts of Ridesharing and Congestion Charging in New York City. Data Science for Transportation. Springer, 2023, roč. 5, č. 2, s. 1-17. ISSN 2948-135X. Dostupné z: https://dx.doi.org/10.1007/s42421-023-00066-x.

BOGOMOLOV, Jura a Stanislav SOBOLEVSKY. A Scalable Spatio-Temporal Analytics Framework for Urban Networks. In Artem Antonyuk; Nikita Basov. Networks in the Global World VI :Proceedings of NetGloW 2022. Cham: Springer, 2023, s. 68-78. ISBN 978-3-031-29407-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-29408-2_5.

BRETSKO, Daniel, Aliaksandr BELY a Stanislav SOBOLEVSKY. Comparative Analysis of Community Detection and Transformer-Based Approaches for Topic Clustering of Scientific Papers. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. 23rd International Conference on Computational Science and Its Applications , ICCSA 2023. Cham: Springer, 2023, s. 648-660. ISBN 978-3-031-36804-2. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36805-9_42.

SOBOLEVSKY, Stanislav. Deep Learning Attention Model for Supervised and Unsupervised Network Community Detection. In Jiří Mikyška, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot. Computational Science – ICCS 2023. Cham: Springer Cham, 2023, s. 647-654. ISBN 978-3-031-36026-8. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36027-5_51.

HE, Mingyi, Jura BOGOMOLOV, Devashish KHULBE a Stanislav SOBOLEVSKY. Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model. Journal of Transport Geography. Elsevier, 2023, roč. 113, December, s. 1-7. ISSN 0966-6923. Dostupné z: https://dx.doi.org/10.1016/j.jtrangeo.2023.103732.

KHULBE, Devashish, Aliaksandr BELY, Ondřej MIKEŠ a Stanislav SOBOLEVSKY. Mobility Networks as a Predictor of Socioeconomic Status in Urban Systems. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13957. Cham: Springer, Cham, 2023, s. 453-461. ISBN 978-3-031-36807-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36808-0_32.

MISHINA, Margarita, Stanislav SOBOLEVSKY, Elizaveta KOVTUN, Alexander KHRULKOV, Aliaksandr BELY, Semen BUDENNYY a Sergey MITYAGIN. Prediction of Urban Population-Facilities Interactions with Graph Neural Network. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. Computational Science and Its Applications – ICCSA 2023 : Lecture Notes in Computer Science, vol 13956. Cham: Springer, Cham, 2023, s. 334-348. ISBN 978-3-031-36804-2. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36805-9_23.

HOLUB, Petr, Heimo MÜLLER, Tomáš BÍL, Luca PIREDDU, Markus PLASS, Fabian PRASSER, Irene SCHLÜNDER, Kurt ZATLOUKAL, Rudolf NENUTIL a Tomáš BRÁZDIL. Privacy risks of whole-slide image sharing in digital pathology. Nature Communications. 2023, roč. 14, č. 2577, s. 1-15. ISSN 2041-1723. Dostupné z: https://dx.doi.org/10.1038/s41467-023-37991-y.

POLČÁK, Radim, Stanislav SOBOLEVSKY, Amnon REICHMAN, Aurelija LUKOSEVICIENE, Viktoriia REKRUTIAK a Jakub HARAŠTA. Q2 (Quantum Square): Quantum Questions for Social Sciences & Humanities. 2023.

MYSLIVEČEK, Jan a Radim POLČÁK. Strategické řízení procesu digitalizace univerzity. In Digitální transformace univerzit. 2023.

BELY, Aliaksandr, Stanislav SOBOLEVSKY, Kurbatski ALEXANDER a Carlo RATTI. Subnetwork constraints for tighter upper bounds and exact solution of the clique partitioning problem. Mathematical Methods of Operations Research. Springer Heidelberg, 2023, roč. 98, č. 2, s. 269-297. ISSN 1432-2994. Dostupné z: https://dx.doi.org/10.1007/s00186-023-00835-y.

BOGOMOLOV, Jura, Aliaksandr BELY, Ondřej MIKEŠ a Stanislav SOBOLEVSKY. Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. Computational Science and Its Applications – ICCSA 2023. Cham: Springer, Cham, 2023, s. 482-490. ISBN 978-3-031-36807-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36808-0_35.

HORÁK, Jiří, Katarína FURMANOVÁ, Barbora KOZLÍKOVÁ, Tomáš BRÁZDIL, Petr HOLUB, Martin KAČENGA, Matej GALLO, Rudolf NENUTIL, Jan BYŠKA a Vít RUSŇÁK. xOpat: eXplainable Open Pathology Analysis Tool. COMPUTER GRAPHICS FORUM. England: Wiley, 2023, roč. 42, č. 3, s. 63-73. ISSN 0167-7055. Dostupné z: https://dx.doi.org/10.1111/cgf.14812.

BRÁZDIL, Tomáš, Matej GALLO, Rudolf NENUTIL, Andrej KUBANDA, Martin TOUFAR a Petr HOLUB. Automated annotations of epithelial cells and stroma in hematoxylin–eosin-stained whole-slide images using cytokeratin re-staining. The Journal of Pathology: Clinical Research. 2022, roč. 8, č. 2, s. 129-142. ISSN 2056-4538. Dostupné z: https://dx.doi.org/10.1002/cjp2.249.

KHRULKOV, Aleksandr, Margarita E. MISHINA a Stanislav SOBOLEVSKY. City services provision assessment algorithm. In Boukhanovsky A., Krzhizhanovskaya V., Klimova A. Procedia Computer Science. Amsterdam: Elsevier, 2022, s. 93-103. ISSN 1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2022.10.211.

KUBINEC, Jan, Viktorie ŠIRŮČKOVÁ, Jana HAVLÍČKOVÁ, Jan KOTEK, Vojtěch KUBÍČEK, Přemysl LUBAL a Petr HERMANN. Complexes of NOTA-Monoamides with CuII Ions: Structural, Equilibrium, and Kinetic Study. European Journal of Inorganic Chemistry. Wiley-VCH GmbH, 2022, roč. 2022, č. 19, s. 1-11. ISSN 1434-1948. Dostupné z: https://dx.doi.org/10.1002/ejic.202200173.

TIKHONOVA, Olga, Aleksandr ANTONOV, Jura BOGOMOLOV, Devashish KHULBE a Stanislav SOBOLEVSKY. Detecting a citizens' activity profile of an urban territory through natural language processing of social media data. In Boukhanovsky A., Krzhizhanovskaya V., Klimova A. Procedia Computer Science. Amsterdam: Elsevier, 2022, s. 11-22. ISSN 1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2022.10.203.

TIKHONOVA, Olga, Aleksandr KHRULKOV, Aleksandr ANTONOV, Stanislav SOBOLEVSKY a Sergey A. MITYAGIN. Extraction of hidden topics in urban context based on the Internet publications analysis. In Boukhanovsky A., Krzhizhanovskaya V., Klimova A. Procedia Computer Science. Amsterdam: Elsevier, 2022, s. 23-33. ISSN 1877-0509. Dostupné z: https://dx.doi.org/10.1016/j.procs.2022.10.204.

SOBOLEVSKY, Stanislav a Aliaksandr BELY. Graph neural network inspired algorithm for unsupervised network community detection. Applied Network Science. Springer Nature, 2022, roč. 7, č. 1, s. 1-19. ISSN 2364-8228. Dostupné z: https://dx.doi.org/10.1007/s41109-022-00500-z.

BELY, Aliaksandr a Stanislav SOBOLEVSKY. Network Size Reduction Preserving Optimal Modularity and Clique Partition. In Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. Lecture Notes in Computer Science. Cham: Springer, Cham, 2022, s. 19-33. ISBN 978-3-031-10521-0. Dostupné z: https://dx.doi.org/10.1007/978-3-031-10522-7_2.

BRÁZDIL, Tomáš, David KLAŠKA, Antonín KUČERA, Vít MUSIL, Petr NOVOTNÝ a Vojtěch ŘEHÁK. On-the-fly Adaptation of Patrolling Strategies in Changing Environments. Online. In James Cussens, Kun Zhang. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022. Neuveden: Proceedings of Machine Learning Research, 2022, s. 244-254. ISBN 978-1-7138-6329-8.

HE, Mingyi, Urwa MUAZ, Hong JIANG, Zengxiang LEI, Xiaowei CHEN, Satish V UKKUSURI a Stanislav SOBOLEVSKY. Ridership prediction and anomaly detection in transportation hubs: an application to New York City. European Physical Journal Special Topics. HEIDELBERG: Springer Heidelberg, 2022, roč. 231, č. 9, s. 1655-1671. ISSN 1951-6355. Dostupné z: https://dx.doi.org/10.1140/epjs/s11734-022-00551-4.

SLANINÁKOVÁ, Terézia, Matej ANTOL, Jaroslav OĽHA a Vlastislav DOHNAL. Data-driven Learned Metric Index: an Unsupervised Approach. In 14th International Conference on Similarity Search and Applications (SISAP 2021). Cham: Springer, 2021, s. 81-94. ISBN 978-3-030-89656-0. Dostupné z: https://dx.doi.org/10.1007/978-3-030-89657-7_7.

ANTOL, Matej, Jaroslav OĽHA, Terézia SLANINÁKOVÁ a Vlastislav DOHNAL. Learned metric index - proposition of learned indexing for unstructured data. Information Systems. Elsevier, 2021, roč. 100, č. 101774, s. 1-12. ISSN 0306-4379. Dostupné z: https://dx.doi.org/10.1016/j.is.2021.101774.

ANTOL, Matej, Miriama JÁNOŠOVÁ a Vlastislav DOHNAL. Metric hull as similarity-aware operator for representing unstructured data. Pattern Recognition Letters. Amsterdam: Elsevier, 2021, roč. 149, September 2021, s. 91-98. ISSN 0167-8655. Dostupné z: https://dx.doi.org/10.1016/j.patrec.2021.05.011.

BRÁZDIL, Tomáš, David PORTEŠ, Jiří FILIPOVIČ, Jana HOZZOVÁ, Thomas EVANGELIDIS a Konstantinos TRIPSIANES. 4D-GRAPHS. 2021.

FILIPOVIČ, Jiří, Ondřej VÁVRA, Jan PLHÁK, David BEDNÁŘ, Sérgio Manuel MARQUES, Jan BREZOVSKÝ, Luděk MATYSKA a Jiří DAMBORSKÝ. CaverDock: A Novel Method for the Fast Analysis of Ligand Transport. IEEE/ACM Transactions on Computational Biology and Bioinformatics. Los Alamitos: IEEE Computer Society, 2020, roč. 17, č. 5, s. 1625-1638. ISSN 1545-5963. Dostupné z: https://dx.doi.org/10.1109/TCBB.2019.2907492.

ANTOL, Matej a Vlastislav DOHNAL. BM-index: Balanced Metric Space Index based on Weighted Voronoi Partitioning. In Lecture Notes in Computer Science. Advances in Databases and Information Systems, 23th East European Conference, ADBIS 2019. LNCS 11695. Cham: Springer International Publishing, 2019, s. 337-353. ISBN 978-3-030-28729-0. Dostupné z: https://dx.doi.org/10.1007/978-3-030-28730-6_21.

VÁVRA, Ondřej, Jiří FILIPOVIČ, Jan PLHÁK, David BEDNÁŘ, Sérgio Manuel MARQUES, Jan BREZOVSKÝ, Jan ŠTOURAČ, Luděk MATYSKA a Jiří DAMBORSKÝ. CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels. Bioinformatics. Oxford: Oxford University Press, 2019, roč. 35, č. 23, s. 4986-4993. ISSN 1367-4803. Dostupné z: https://dx.doi.org/10.1093/bioinformatics/btz386.

LINDEN, Mikael, Michal PROCHÁZKA, Ilkka LAPPALAINEN, Dominik František BUČÍK, Pavel VYSKOČIL, Martin KUBA, Sami SILÉN, Peter BELMANN, Alexander SCZYRBA, Steven NEWHOUSE, Luděk MATYSKA a Tommi NYRÖNEN. Common ELIXIR Service for Researcher Authentication and Authorisation. F1000Research. F1000 Research Ltd., 2018, roč. 7, č. 2018, s. 1-16. ISSN 2046-1402. Dostupné z: https://dx.doi.org/10.12688/f1000research.15161.1.

SALOMONI, Davide, Luciano GAIDO, Isabel Campos PLASENCIA, Jesus E Marco de LUCAS, Peter SOLAGNA, Jorge GOMES, Luděk MATYSKA, P FUHRMAN, Marcus HARDT, Giacinto DONVITO, L DUTKA, Marcin Pl o CIENNIK, Roberto BARBERA, Cristina AIFTIMIEI, Ignacio BLANQUER, Andrea CECCANTI, Mario DAVID, Alvaro Lopez GARCIA, German MOLTO, P ORVIZ, Zdeněk SUSTR, M VILJOEN, Fernando AGUILAR, L ALVES, Alexandre BONVING, Riccardo BRUNO, D DAVIDOVIC, Marco FARGETTA, Yen CHEN, Sandro FIORE, Z KURKCUOGLU, L LLORET, J MARTINS, Alessandra NUZZO, Paola NASSISI, J PINA, Eva SCIACCA, Daniele SPIGA, M TANGARO, Michal URBANIAK, Bas WEGH a T ZOK. INDIGO-DataCloud: A platform to facilitate seamless access to e-infrastructures. Journal of Grid Computing. Springer Science+Business Media B.V., 2018, roč. 16, č. 3, s. 381-408. ISSN 1570-7873. Dostupné z: https://dx.doi.org/10.1007/s10723-018-9453-3.

ANTOL, Matej a Vlastislav DOHNAL. Towards Artificial Priority Queues for Similarity Query Execution. Online. In 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW). Paris, France: IEEE, 2018, s. 78-83. ISBN 978-1-5386-6306-6. Dostupné z: https://dx.doi.org/10.1109/ICDEW.2018.00020.

FILIPOVIČ, Jiří, Ondřej VÁVRA, Jan PLHÁK, David BEDNÁŘ, Sérgio Manuel MARQUES, Jan BREZOVSKÝ, Luděk MATYSKA a Jiří DAMBORSKÝ. CaverDock 1.0. 2017.

ANTOL, Matej a Vlastislav DOHNAL. Popularity-Based Ranking for Fast Approximate kNN Search. Informatica. Lithuanian Academy of Sciences, 2017, roč. 28, č. 1, s. 1-21. ISSN 0868-4952. Dostupné z: https://dx.doi.org/10.15388/Informatica.2017.118.