| Design virtual learning labs for courses in computational science with use of cloud computing technologies A Dukhanov, M Karpova, K Bochenina Procedia Computer Science 29, 2472-2482, 2014 | 56 | 2014 |
| Homophily based on few attributes can impede structural balance PJ Górski, K Bochenina, JA Hołyst, RM D’Souza Physical Review Letters 125 (7), 078302, 2020 | 42 | 2020 |
| Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory TM Abuhay, SV Kovalchuk, K Bochenina, GK Mbogo, AA Visheratin, ... Journal of computational science 26, 193-204, 2018 | 38 | 2018 |
| Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments K Bochenina, N Butakov, A Boukhanovsky Future Generation Computer Systems 55, 51-61, 2016 | 38 | 2016 |
| Lexicon-based methods vs. BERT for text sentiment analysis A Kotelnikova, D Paschenko, K Bochenina, E Kotelnikov International Conference on Analysis of Images, Social Networks and Texts, 71-83, 2021 | 30 | 2021 |
| A comparative study of scheduling algorithms for the multiple deadline-constrained workflows in heterogeneous computing systems with time windows K Bochenina Procedia computer science 29, 509-522, 2014 | 25 | 2014 |
| Emerging complexity in distributed intelligent systems V Guleva, E Shikov, K Bochenina, S Kovalchuk, A Alodjants, ... Entropy 22 (12), 1437, 2020 | 22 | 2020 |
| A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification SV Kovalchuk, OG Metsker, AA Funkner, IO Kisliakovskii, NO Nikitin, ... Complexity 2018 (1), 5870987, 2018 | 20 | 2018 |
| Analysis of computational science papers from iccs 2001-2016 using topic modeling and graph theory TM Abuhay, SV Kovalchuk, KO Bochenina, G Kampis, ... Procedia Computer Science 108, 7-17, 2017 | 19 | 2017 |
| A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems K Bochenina, N Butakov, A Dukhanov, D Nasonov Procedia Computer Science 51, 2827-2831, 2015 | 18 | 2015 |
| Forecasting railway ticket dynamic price with Google Trends open data E Stavinova, P Chunaev, K Bochenina Procedia Computer Science 193, 333-342, 2021 | 15 | 2021 |
| Discovering patterns of customer financial behavior using social media data A Kalinin, D Vaganov, K Bochenina Social Network Analysis and Mining 10 (1), 77, 2020 | 15 | 2020 |
| Community detection in node-attributed social networks: How structure-attributes correlation affects clustering quality P Chunaev, T Gradov, K Bochenina Procedia Computer Science 178, 355-364, 2020 | 14 | 2020 |
| Modeling knowledge transfer and the transdisciplinary effect on project-based learning activities N Kogtikov, A Dukhanov, K Bochenina Procedia Computer Science 80, 1989-1999, 2016 | 14 | 2016 |
| Forecasting purchase categories with transition graphs using financial and social data D Vaganov, A Funkner, S Kovalchuk, V Guleva, K Bochenina Social Informatics: 10th International Conference, SocInfo 2018, St …, 2018 | 13 | 2018 |
| An approach to hybrid learning resource design for training professionals in computational science K Bochenina, A Dukhanov, M Karpova, V Shmelev Procedia Computer Science 101, 439-448, 2016 | 12 | 2016 |
| Predictability Classes for Forecasting Clients Behavior by Transactional Data E Stavinova, K Bochenina, P Chunaev International Conference on Computational Science, 187-199, 2021 | 10 | 2021 |
| Parallel data-driven modeling of information spread in social networks O Severiukhina, K Bochenina, S Kesarev, A Boukhanovsky Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 9 | 2018 |
| Evaluating time series predictability via transition graph analysis A Kovantsev, P Chunaev, K Bochenina 2021 International conference on data mining workshops (ICDMW), 1039-1046, 2021 | 8 | 2021 |
| Community detection in attributed social networks: a unified weight-based model and its regimes P Chunaev, I Nuzhdenko, K Bochenina 2019 International Conference on Data Mining Workshops (ICDMW), 455-464, 2019 | 8 | 2019 |
Alexander BoukhanovskyITMO UniversityVerified email at mail.ifmo.ru
