Klavdiya Bochenina

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Social Networks

Computational Science

Top Venues

Publications

Klavdiya Bochenina, Laura Ruotsalainen
A reinforcement learning-based metaheuristic algorithm for on-demand ride-pooling. IE (2024)
Klavdiya Bochenina, Anton Taleiko, Laura Ruotsalainen
Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area. SUMO (2023)
Anton Lysenko, Egor Shikov, Klavdiya Bochenina
Combination of individual and group patterns for time-sensitive purchase recommendation. Int. J. Data Sci. Anal. 16 (2) (2023)
Irina Fishcheva, Dmitriy Osadchiy, Klavdiya Bochenina, Evgeny V. Kotelnikov
Argumentative Text Generation in Economic Domain. CoRR (2022)
Valery Volokha, Klavdiya Bochenina
Content-Aware Generative Model for Multi-item Outfit Recommendation. ICCS (1) (2022)
Elizaveta Stavinova, Alexander Grigorievskiy, Anna Volodkevich, Petr Chunaev, Klavdiya Bochenina, Dmitry Bugaychenko
Synthetic Data-Based Simulators for Recommender Systems: A Survey. CoRR (2022)
Petr Chunaev, Timofey Gradov, Klavdiya Bochenina
The machinery of the weight-based fusion model for community detection in node-attributed social networks. Soc. Netw. Anal. Min. 11 (1) (2021)
Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
Lexicon-based Methods vs. BERT for Text Sentiment Analysis. CoRR (2021)
Anton Kovantsev, Petr Chunaev, Klavdiya Bochenina
Evaluating Time Series Predictability via Transition Graph Analysis. ICDM (Workshops) (2021)
Elizaveta Stavinova, Klavdiya Bochenina, Petr Chunaev
Predictability Classes for Forecasting Clients Behavior by Transactional Data. ICCS (3) (2021)
Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
Lexicon-Based Methods vs. BERT for Text Sentiment Analysis. AIST (2021)
Oksana Severiukhina, Sergey Kesarev, Klavdiya Bochenina, Alexander Boukhanovsky, Michael Harold Lees, Peter M. A. Sloot
Large-scale forecasting of information spreading. J. Big Data 7 (1) (2020)
Petr Chunaev, Timofey Gradov, Klavdiya Bochenina
Composite Modularity and Parameter Tuning in the Weight-Based Fusion Model for Community Detection in Node-Attributed Social Networks. COMPLEX NETWORKS (1) (2020)
Piotr J. Górski, Klavdiya Bochenina, Janusz A. Holyst, Raissa M. D'Souza
Homophily based on few attributes can impede structural balance. CoRR (2020)
Alexander Kalinin, Danila A. Vaganov, Klavdiya Bochenina
Discovering patterns of customer financial behavior using social media data. Soc. Netw. Anal. Min. 10 (1) (2020)
Valentina Y. Guleva, Egor Shikov, Klavdiya Bochenina, Sergey V. Kovalchuk, Alexander Alodjants, Alexander Boukhanovsky
Emerging Complexity in Distributed Intelligent Systems. Entropy 22 (12) (2020)
Ivan Derevitskii, Oksana Severiukhina, Klavdiya Bochenina
Clustering Interest Graphs for Customer Segmentation Problems. SNAMS (2019)
Oleg Zaikin, Ivan Derevitskii, Klavdiya Bochenina, Janusz A. Holyst
Optimizing Spatial Accessibility of Company Branches Network with Constraints. ICCS (2) (2019)
Danila A. Vaganov, Alexander Kalinin, Klavdiya Bochenina
On Inferring Monthly Expenses of Social Media Users: Towards Data and Approaches. COMPLEX NETWORKS (1) (2019)
Egor Shikov, Klavdiya Bochenina
Forecasting Purchase Categories by Transactional Data: A Comparative Study of Classification Methods. ICCS (3) (2019)
Oleg Zaikin, Anton Petukhov, Klavdiya Bochenina
Bank Branch Network Optimization Based on Customers Geospatial Profiles. OTM Conferences (2019)
Oksana Severiukhina, Klavdiya Bochenina
Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks. SNAMS (2019)
Petr Chunaev, Ivan Nuzhdenko, Klavdiya Bochenina
Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes. ICDM Workshops (2019)
Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Ivan Derevitskii, Alexander V. Boukhanovsky
Evolutionary Ensemble Approach for Behavioral Credit Scoring. ICCS (3) (2018)
Oksana Severiukhina, Klavdiya Bochenina, Sergey Kesarev, Alexander Boukhanovsky
Parallel Data-Driven Modeling of Information Spread in Social Networks. ICCS (1) (2018)
Sergey Kesarev, Oksana Severiukhina, Klavdiya Bochenina
Parallel Simulation of Community-Wide Information Spreading in Online Social Networks. RuSCDays (2018)
Ivan Nuzhdenko, Amir Uteuov, Klavdiya Bochenina
Detecting Influential Users in Customer-Oriented Online Communities. ICCS (3) (2018)
Klavdiya Bochenina, Sergey Kesarev, Alexander Boukhanovsky
Scalable parallel simulation of dynamical processes on large stochastic Kronecker graphs. Future Gener. Comput. Syst. 78 (2018)
Tesfamariam M. Abuhay, Sergey V. Kovalchuk, Klavdiya Bochenina, Gali-Ketema Mbogo, Alexander A. Visheratin, George Kampis, Valeria V. Krzhizhanovskaya, Michael Harold Lees
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. J. Comput. Sci. 26 (2018)
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)
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)
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)
Kirill Kuvshinov, Klavdiya Bochenina, Piotr J. Gorski, Janusz A. Holyst
Hybrid CPU-GPU Simulation of Hierarchical Adaptive Random Boolean Networks. Euro-Par Workshops (2017)
Klavdiya Bochenina, Nikolay Butakov, Alexander Boukhanovsky
Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments. Future Gener. Comput. Syst. 55 (2016)
Klavdiya Bochenina, Sergey Kesarev
A Parallel Algorithm for Modeling of Dynamical Processes on Large Stochastic Kronecker Graphs. ICCS (2016)
Nikita Kogtikov, Alexey V. Dukhanov, Klavdiya Bochenina
Modeling Knowledge Transfer and the Transdisciplinary Effect on Project-based Learning Activities. ICCS (2016)
Klavdiya Bochenina, Nikolay Butakov, Alexey Dukhanov, Denis A. Nasonov
A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems. ICCS (2015)
Alexey V. Dukhanov, Anna Bilyatdinova, Klavdiya Bochenina, Vladislav Karbovsky
The approach to design of STEM courses' learning resources based on students' activity with the use of scientific resources' databases. FIE (2015)
Anna Bilyatdinova, Alexey Dukhanov, Klavdiya Bochenina, Alexander V. Boukhanovsky, Valeria V. Krzhizhanovskaya, Peter M. A. Sloot
Dutch-Russian double degree master's program curricula in computational science and high performance computing. FIE (2014)
Klavdiya Bochenina
A Comparative Study of Scheduling Algorithms for the Multiple Deadline-constrained Workflows in Heterogeneous Computing Systems with Time Windows. ICCS (2014)
Alexey Dukhanov, Maria Karpova, Klavdiya Bochenina
Design Virtual Learning Labs for Courses in Computational Science with Use of Cloud Computing Technologies. ICCS (2014)
Klavdiya Bochenina, Irina Boukhanovskaya, Anna Bilyatdinova, Alexey Dukhanov, Anna Lutsenko
Using a cyclic model of knowledge transfer for the development of transdisciplinary learning environments. FIE (2014)