Ksenia Mukhina

Ksenia Mukhina

urban socio-cultural dynamics & machine learning

Senior Research Fellow at CUDAN Open Lab,
School of Digital Technologies,
Tallinn University

Publications

Articles in refereed journals

  1. Mukhina, K.D., Visheratin, A.A. & Nasonov, D. (2019). Orienteering Problem with Functional Profits for multi-source dynamic path construction. PLoS ONE, 14(4). [Read more]

  2. Butakov, N., Petrov, M., Mukhina, K., Nasonov, D. & Kovalchuk, S. (2018). Unified domain-specific language for collecting and processing data of social media. Journal of Intelligent Information Systems, 51(2), 389-414. [Read more]

  3. Visheratin, A.A., Trofimenko, T.B., Mukhina, K.D., Nasonov, D. & Boukhanovsky, A.V. (2017). A multi-layer model for diffusion of urgent information in mobile networks. Journal of Computational Science, 20, 129-142. [Read more]

Refereed conference papers

  1. Mukhina, K., Visheratin, A. & Nasonov, D. (2020). Spatiotemporal filtering pipeline for efficient social networks data processing algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12142 LNCS, 86-99. [Read more]

  2. Mukhina, K.D., Visheratin, A.A. & Nasonov, D. (2019). Urban events prediction via convolutional neural networks and Instagram data. Procedia Computer Science, 156, 176-184. [Read more]

  3. Nasonov, D., Butakov, N., Melnik, M., Visheratin, A., Linev, A., Shvets, P., Sobolev, S. & Mukhina, K. (2019). The multi-level adaptive approach for efficient execution of multi-scale distributed applications with dynamic workload. Communications in Computer and Information Science, 965, 675-686. [Read more]

  4. Mukhina, K.D., Visheratin, A.A., Nasonov, D. & Manovich, L. (2019). Intelligent sightseeing in immensely manifold cities: Case of 2018 FIFA World Cup host cities. LocalRec 2019 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising. [Read more]

  5. Visheratin, A.A., Mukhina, K.D., Visheratina, A.K., Nasonov, D. & Boukhanovsky, A.V. (2018). Multiscale event detection using convolutional quadtrees and adaptive geogrids. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News, LENS 2018. [Read more]

  6. Mukhina, K.D., Visheratin, A., Mbogo, G.-K. & Nasonov, D. (2018). Forecasting of the Urban Area State Using Convolutional Neural Networks. Conference of Open Innovation Association, FRUCT, 2018-November, 268-275. [Read more]

  7. Mbogo, G.-K., Visheratin, A.A. & Mukhina, K.D. (2018). Deep semi-supervised salient regions detection using joint predictions of unsupervised models. Procedia Computer Science, 136, 183-189. [Read more]

  8. Mukhina, K.D., Visheratin, A.A. & Nasonov, D. (2018). Building City-Scale Walking Itineraries Using Large Geospatial Datasets. Conference of Open Innovation Association, FRUCT, 2018-November, 261-267. [Read more]

  9. Bureiko, K., Semashko, M., Mukhina, K.D. & Karsakov, A. (2017). Multiscale dynamic visualization of signal transduction processes with detailing of target-genes activation in three-dimensional genome structure. Procedia Computer Science, 119, 182-189. [Read more]

  10. Mukhina, K.D., Rakitin, S.V. & Visheratin, A.A. (2017). Detection of tourists attraction points using Instagram profiles. Procedia Computer Science, 108, 2378-2382. [Read more]

  11. Visheratin, A.A., Trofimenko, T.B., Mukhina, K.D., Nasonov, D. & Boukhanovsky, A.V. (2016). Urgent information spreading multi-layer model for simulation in mobile networks. Procedia Computer Science, 80, 2086-2097. [Read more]

  12. Karsakov, A., Moiseev, A., Mukhina, K., Ankudinova, I.N., Ignatieva, M.A., Krotov, E., Karbovskii, V., Kovalchuk, S.V. & Konradi, A.O. (2016). Toolbox for visual explorative analysis of complex temporal multiscale contact networks dynamics in healthcare. Procedia Computer Science, 80, 2107-2118. [Read more]

  13. Mukhina, K.D. & Chivilikhin, S.A. (2016). The influence of non-spherical nanoparticles' shape on sedimentation process. Journal of Physics: Conference Series, 741(1). [Read more]

  14. Mukhina, K., Guleva, V. & Karsakov, A. (2016). Temporal Branching Approach for Visual Exploration of Simulation Process in Dynamic Networks. Procedia Computer Science, 101, 407-415. [Read more]

  15. Trofimenko, T.B., Mukhina, K.D. & Visheratin, A.A. (2016). Mobile contacts network reconstruction using call domain records data. Proceedings - 2016 3rd European Network Intelligence Conference, ENIC 2016, 55-60. [Read more]

  16. Voloshin, D., Derevitskiy, I., Mukhina, K. & Karbovskii, V. (2016). Identifying Venues for female commercial sex work using spatial analysis of geocoded advertisements. Procedia Computer Science, 80, 345-355. [Read more]

  17. Mukhina, K. & Chivilikhin, S. (2015). Theoretical investigation of sedimentation process for nanoparticles statistical ensemble. Journal of Physics: Conference Series, 643(1). [Read more]

  18. Mukhina, K. & Bezgodov, A. (2015). The Method for Real-time Cloud Rendering. Procedia Computer Science, 66, 697-704. [Read more]

  19. Bezgodov, A., Karsakov, A., Mukhina, K., Egorov, D. & Zakharchuk, A. (2015). Learning AI techniques through bot programming for a turn-based strategy game. Proceedings of the European Conference on Games-based Learning, 2015-January, 66-74. [Read more]

  20. Trofimenko, T., Visheratin, A., Melnik, M., Mukhina, K. & Butakov, N. (2015). Graphical framework for scientific papers clustering. 9th International Conference on Application of Information and Communication Technologies, AICT 2015 - Proceedings, 423-427. [Read more]

  21. Lantseva, A., Mukhina, K., Nikishova, A., Ivanov, S. & Knyazkov, K. (2015). Data-driven Modeling of Airlines Pricing. Procedia Computer Science, 66, 267-276. [Read more]

  22. Zagarskikh, A., Karsakov, A., Mukhina, K., Nasonov, D. & Bezgodov, A. (2015). An Efficient Approach of Infrastructure Processing Visualization Within Cloud Computing Platform. Procedia Computer Science, 66, 705-710. [Read more]