Filtrování publikací

    2024

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    2023

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. POLČÁK, Radim, Stanislav SOBOLEVSKY, Amnon REICHMAN, Aurelija LUKOSEVICIENE, Viktoriia REKRUTIAK a Jakub HARAŠTA. Q2 (Quantum Square): Quantum Questions for Social Sciences & Humanities. 2023.
    9. 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.
    10. 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.

    2022

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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Zobrazeno: 9. 1. 2025 04:03