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Klavdiya Bochenina
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2020 – today
- 2024
- [j11]Sara Pyykölä, Klavdiya O. Bochenina, Laura Ruotsalainen:
Conciliator steering: Imposing user preference in multi-objective reinforcement learning. Trans. Mach. Learn. Res. 2024 (2024) - [c37]Klavdiya Bochenina
, Laura Ruotsalainen
A reinforcement learning-based metaheuristic algorithm for on-demand ride-pooling. IE 2024: 117-123 - 2023
- [j10]Anton Lysenko
Combination of individual and group patterns for time-sensitive purchase recommendation. Int. J. Data Sci. Anal. 16(2): 163-172 (2023) - [c36]Klavdiya Bochenina
Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area. SUMO 2023: 1-13 - 2022
- [c35]Valery Volokha, Klavdiya Bochenina:
Content-Aware Generative Model for Multi-item Outfit Recommendation. ICCS (1) 2022: 164-177 - [c34]Valentina Y. Guleva, Egor Shikov, Klavdiya O. Bochenina:
Modelling Influence of Motivation on Efficient Tasks Distribution for Given Team-project Correspondence. ICORES 2022: 185-192 - [i6]Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Argumentative Text Generation in Economic Domain. CoRR abs/2206.09251 (2022) - [i5]Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko:
Synthetic Data-Based Simulators for Recommender Systems: A Survey. CoRR abs/2206.11338 (2022) - 2021
- [j9]Petr Chunaev
The machinery of the weight-based fusion model for community detection in node-attributed social networks. Soc. Netw. Anal. Min. 11(1): 109 (2021) - [c33]Anastasia Kotelnikova
Lexicon-Based Methods vs. BERT for Text Sentiment Analysis. AIST 2021: 71-83 - [c32]Elizaveta Stavinova, Klavdiya Bochenina, Petr Chunaev
Predictability Classes for Forecasting Clients Behavior by Transactional Data. ICCS (3) 2021: 187-199 - [c31]Anton Kovantsev, Petr Chunaev, Klavdiya Bochenina:
Evaluating Time Series Predictability via Transition Graph Analysis. ICDM (Workshops) 2021: 1039-1046 - [i4]Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny V. Kotelnikov:
Lexicon-based Methods vs. BERT for Text Sentiment Analysis. CoRR abs/2111.10097 (2021) - 2020
- [j8]Valentina Y. Guleva
Emerging Complexity in Distributed Intelligent Systems. Entropy 22(12): 1437 (2020) - [j7]Oksana Severiukhina
Large-scale forecasting of information spreading. J. Big Data 7(1): 72 (2020) - [j6]Alexander Kalinin
Discovering patterns of customer financial behavior using social media data. Soc. Netw. Anal. Min. 10(1): 77 (2020) - [c30]Petr Chunaev
Composite Modularity and Parameter Tuning in the Weight-Based Fusion Model for Community Detection in Node-Attributed Social Networks. COMPLEX NETWORKS (1) 2020: 100-111 - [i3]Piotr J. Górski, Klavdiya Bochenina, Janusz A. Holyst, Raissa M. D'Souza:
Homophily based on few attributes can impede structural balance. CoRR abs/2001.06573 (2020)
2010 – 2019
- 2019
- [c29]Danila A. Vaganov, Alexander Kalinin
On Inferring Monthly Expenses of Social Media Users: Towards Data and Approaches. COMPLEX NETWORKS (1) 2019: 854-865 - [c28]Egor Shikov
Forecasting Purchase Categories by Transactional Data: A Comparative Study of Classification Methods. ICCS (3) 2019: 249-262 - [c27]Oleg Zaikin
Optimizing Spatial Accessibility of Company Branches Network with Constraints. ICCS (2) 2019: 332-345 - [c26]Petr Chunaev
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes. ICDM Workshops 2019: 455-464 - [c25]Oleg Zaikin
Bank Branch Network Optimization Based on Customers Geospatial Profiles. OTM Conferences 2019: 201-208 - [c24]Oksana Severiukhina, Klavdiya Bochenina:
Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks. SNAMS 2019: 291-296 - [c23]Ivan Derevitskii, Oksana Severiukhina, Klavdiya Bochenina:
Clustering Interest Graphs for Customer Segmentation Problems. SNAMS 2019: 321-327 - 2018
- [j5]Sergey V. Kovalchuk
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. Complex. 2018: 5870987:1-5870987:15 (2018) - [j4]Klavdiya Bochenina, Sergey Kesarev, Alexander Boukhanovsky:
Scalable parallel simulation of dynamical processes on large stochastic Kronecker graphs. Future Gener. Comput. Syst. 78: 502-515 (2018) - [j3]Tesfamariam M. Abuhay
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. J. Comput. Sci. 26: 193-204 (2018) - [c22]Danila A. Vaganov, Valentina Y. Guleva, Klavdiya O. Bochenina:
Social Media Group Structure and Its Goals: Building an Order. COMPLEX NETWORKS (2) 2018: 473-483 - [c21]Sergey V. Kovalchuk, Oleg G. Metsker
Towards management of complex modeling through a hybrid evolutionary identification. GECCO (Companion) 2018: 255-256 - [c20]Ivan Derevitskii, Oksana Severiukhina, Klavdiya Bochenina, Daniil V. Voloshin, Anastasia A. Lantseva, Alexander Boukhanovsky:
Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society. ICCS (2) 2018: 142-155 - [c19]Oksana Severiukhina, Klavdiya Bochenina, Sergey Kesarev, Alexander Boukhanovsky:
Parallel Data-Driven Modeling of Information Spread in Social Networks. ICCS (1) 2018: 247-259 - [c18]Valentina Y. Guleva, Danila A. Vaganov, Daniil V. Voloshin, Klavdiya Bochenina:
Topology of Thematic Communities in Online Social Networks: A Comparative Study. ICCS (1) 2018: 260-273 - [c17]Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Evolutionary Ensemble Approach for Behavioral Credit Scoring. ICCS (3) 2018: 825-831 - [c16]Ivan Nuzhdenko, Amir Uteuov, Klavdiya Bochenina:
Detecting Influential Users in Customer-Oriented Online Communities. ICCS (3) 2018: 832-838 - [c15]Sergey Kesarev, Oksana Severiukhina, Klavdiya Bochenina:
Parallel Simulation of Community-Wide Information Spreading in Online Social Networks. RuSCDays 2018: 136-148 - [c14]Danila A. Vaganov, Anastasia A. Funkner, Sergey V. Kovalchuk, Valentina Y. Guleva, Klavdiya Bochenina:
Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data. SocInfo (1) 2018: 439-454 - [i2]Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina:
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. CoRR abs/1809.04656 (2018) - 2017
- [j2]Valentina Y. Guleva, Klavdiya O. Bochenina, Maria V. Skvorcova, Alexander V. Boukhanovsky:
A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks. J. Artif. Soc. Soc. Simul. 20(4) (2017) - [c13]Valentina Y. Guleva, Klavdiya O. Bochenina:
Graph Theoretical Approach to Bow-Tie Interbank Networks Reconstruction. COMPLEX NETWORKS 2017: 1184-1194 - [c12]Kirill Kuvshinov, Klavdiya Bochenina, Piotr J. Gorski
Hybrid CPU-GPU Simulation of Hierarchical Adaptive Random Boolean Networks. Euro-Par Workshops 2017: 403-414 - [c11]Tesfamariam M. Abuhay
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. ICCS 2017: 7-17 - [c10]Valentina Y. Guleva, Vyacheslav V. Povazhnyuk, Klavdiya O. Bochenina, Alexander V. Boukhanovsky
Russian Interbank Network Reconstruction via Metaheuristic Algorithm. ICCS 2017: 1318-1326 - [c9]Vasiliy N. Leonenko, Klavdiya O. Bochenina, Sergey Kesarev:
Influenza peaks forecasting in Russia: assessing the applicability of statistical methods. ICCS 2017: 2363-2367 - [i1]Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya O. Bochenina, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees:
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. CoRR abs/1705.02203 (2017) - 2016
- [j1]Klavdiya Bochenina
Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments. Future Gener. Comput. Syst. 55: 51-61 (2016) - [c8]Nikita Kogtikov, Alexey V. Dukhanov
Modeling Knowledge Transfer and the Transdisciplinary Effect on Project-based Learning Activities. ICCS 2016: 1989-1999 - [c7]Klavdiya Bochenina, Sergey Kesarev:
A Parallel Algorithm for Modeling of Dynamical Processes on Large Stochastic Kronecker Graphs. ICCS 2016: 2413-2417 - 2015
- [c6]Alexey V. Dukhanov
The approach to design of STEM courses' learning resources based on students' activity with the use of scientific resources' databases. FIE 2015: 1-6 - [c5]Klavdiya Bochenina, Nikolay Butakov, Alexey Dukhanov
A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems. ICCS 2015: 2827-2831 - 2014
- [c4]Anna Bilyatdinova, Alexey Dukhanov
Dutch-Russian double degree master's program curricula in computational science and high performance computing. FIE 2014: 1-8 - [c3]Klavdiya Bochenina, Irina Boukhanovskaya, Anna Bilyatdinova, Alexey Dukhanov
Using a cyclic model of knowledge transfer for the development of transdisciplinary learning environments. FIE 2014: 1-9 - [c2]Klavdiya Bochenina:
A Comparative Study of Scheduling Algorithms for the Multiple Deadline-constrained Workflows in Heterogeneous Computing Systems with Time Windows. ICCS 2014: 509-522 - [c1]Alexey Dukhanov
Design Virtual Learning Labs for Courses in Computational Science with Use of Cloud Computing Technologies. ICCS 2014: 2472-2482
Coauthor Index
aka: Alexander V. Boukhanovsky
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last updated on 2024-10-07 21:14 CEST by the dblp team
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