Publication Records

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 and 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 and 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, p. 1-3. ISBN 979-8-4007-1061-2. Available from: https://dx.doi.org/10.1145/3675231.3678876.

LEI, Zengxiang, Jiawei XUE, Xiaowei CHEN, Xinwu QIAN, Charitha SAUMYA, Mingyi HE, Stanislav SOBOLEVSKY, Milind KULKARNI and 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, vol. 132, April 2024, p. 102898-102922. ISSN 1569-190X. Available from: https://dx.doi.org/10.1016/j.simpat.2024.102898.

MISHINA, Margarita, Sergey MITYAGIN, Aliaksandr BELY, Alexander KHRULKOV and Stanislav SOBOLEVSKY. Towards Urban Accessibility: Modeling Trip Distribution to Assess the Provision of Social Facilities. Smart Cities. MDPI, 2024, vol. 7, No 5, p. 2741-2762. ISSN 2624-6511. Available from: https://dx.doi.org/10.3390/smartcities7050106.

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

KHULBE, Devashish, Chaogui KANG, Satish UKKUSURI and 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, vol. 5, No 2, p. 1-17. ISSN 2948-135X. Available from: https://dx.doi.org/10.1007/s42421-023-00066-x.

BOGOMOLOV, Jura and 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, p. 68-78. ISBN 978-3-031-29407-5. Available from: https://dx.doi.org/10.1007/978-3-031-29408-2_5.

BRETSKO, Daniel, Aliaksandr BELY and 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, p. 648-660. ISBN 978-3-031-36804-2. Available from: 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, p. 647-654. ISBN 978-3-031-36026-8. Available from: https://dx.doi.org/10.1007/978-3-031-36027-5_51.

HE, Mingyi, Jura BOGOMOLOV, Devashish KHULBE and 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, vol. 113, December, p. 1-7. ISSN 0966-6923. Available from: https://dx.doi.org/10.1016/j.jtrangeo.2023.103732.

KHULBE, Devashish, Aliaksandr BELY, Ondřej MIKEŠ and 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, p. 453-461. ISBN 978-3-031-36807-3. Available from: https://dx.doi.org/10.1007/978-3-031-36808-0_32.

MISHINA, Margarita, Stanislav SOBOLEVSKY, Elizaveta KOVTUN, Alexander KHRULKOV, Aliaksandr BELY, Semen BUDENNYY and 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, p. 334-348. ISBN 978-3-031-36804-2. Available from: https://dx.doi.org/10.1007/978-3-031-36805-9_23.

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

BELY, Aliaksandr, Stanislav SOBOLEVSKY, Kurbatski ALEXANDER and Carlo RATTI. Subnetwork constraints for tighter upper bounds and exact solution of the clique partitioning problem. Mathematical Methods of Operations Research. Springer Heidelberg, 2023, vol. 98, No 2, p. 269-297. ISSN 1432-2994. Available from: https://dx.doi.org/10.1007/s00186-023-00835-y.

BOGOMOLOV, Jura, Aliaksandr BELY, Ondřej MIKEŠ and 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, p. 482-490. ISBN 978-3-031-36807-3. Available from: https://dx.doi.org/10.1007/978-3-031-36808-0_35.

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

TIKHONOVA, Olga, Aleksandr ANTONOV, Jura BOGOMOLOV, Devashish KHULBE and 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, p. 11-22. ISSN 1877-0509. Available from: https://dx.doi.org/10.1016/j.procs.2022.10.203.

TIKHONOVA, Olga, Aleksandr KHRULKOV, Aleksandr ANTONOV, Stanislav SOBOLEVSKY and 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, p. 23-33. ISSN 1877-0509. Available from: https://dx.doi.org/10.1016/j.procs.2022.10.204.

SOBOLEVSKY, Stanislav and Aliaksandr BELY. Graph neural network inspired algorithm for unsupervised network community detection. Applied Network Science. Springer Nature, 2022, vol. 7, No 1, p. 1-19. ISSN 2364-8228. Available from: https://dx.doi.org/10.1007/s41109-022-00500-z.

BELY, Aliaksandr and 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, p. 19-33. ISBN 978-3-031-10521-0. Available from: https://dx.doi.org/10.1007/978-3-031-10522-7_2.

HE, Mingyi, Urwa MUAZ, Hong JIANG, Zengxiang LEI, Xiaowei CHEN, Satish V UKKUSURI and 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, vol. 231, No 9, p. 1655-1671. ISSN 1951-6355. Available from: https://dx.doi.org/10.1140/epjs/s11734-022-00551-4.