Dutch-Russian double degree master's program curricula in computational science and high performance computing. - Anna Bilyatdinova; Alexey Dukhanov; Klavdiya Bochenina; Alexander V. Boukhanovsky; Valeria V. Krzhizhanovskaya; Peter M. A. Sloot (FIE, 2014)

Using a cyclic model of knowledge transfer for the development of transdisciplinary learning environments. - Klavdiya Bochenina; Irina Boukhanovskaya; Anna Bilyatdinova; Alexey Dukhanov; Anna Lutsenko (FIE, 2014)

A Comparative Study of Scheduling Algorithms for the Multiple Deadline-constrained Workflows in Heterogeneous Computing Systems with Time Windows. - Klavdiya Bochenina (ICCS, 2014)

Design Virtual Learning Labs for Courses in Computational Science with Use of Cloud Computing Technologies. - Alexey Dukhanov; Maria Karpova; Klavdiya Bochenina (ICCS, 2014)

The approach to design of STEM courses' learning resources based on students' activity with the use of scientific resources' databases. - Alexey V. Dukhanov; Anna Bilyatdinova; Klavdiya Bochenina; Vladislav Karbovsky (FIE, 2015)

A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems. - Klavdiya Bochenina; Nikolay Butakov; Alexey Dukhanov; Denis A. Nasonov (ICCS, 2015)

A Parallel Algorithm for Modeling of Dynamical Processes on Large Stochastic Kronecker Graphs. - Klavdiya Bochenina; Sergey Kesarev (ICCS, 2016)

Modeling Knowledge Transfer and the Transdisciplinary Effect on Project-based Learning Activities. - Nikita Kogtikov; Alexey V. Dukhanov; Klavdiya Bochenina (ICCS, 2016)

Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments. - Klavdiya Bochenina; Nikolay Butakov; Alexander Boukhanovsky (Future Gener. Comput. Syst., 2016)

Graph Theoretical Approach to Bow-Tie Interbank Networks Reconstruction. - Valentina Y. Guleva; Klavdiya O. Bochenina (COMPLEX NETWORKS, 2017)

Hybrid CPU-GPU Simulation of Hierarchical Adaptive Random Boolean Networks. - Kirill Kuvshinov; Klavdiya Bochenina; Piotr J. Gorski; Janusz A. Holyst (Euro-Par Workshops, 2017)

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya O. Bochenina; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (ICCS, 2017)

Russian Interbank Network Reconstruction via Metaheuristic Algorithm. - Valentina Y. Guleva; Vyacheslav V. Povazhnyuk; Klavdiya O. Bochenina; Alexander V. Boukhanovsky (ICCS, 2017)

Influenza peaks forecasting in Russia: assessing the applicability of statistical methods. - Vasiliy N. Leonenko; Klavdiya O. Bochenina; Sergey Kesarev (ICCS, 2017)

A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks. - Valentina Y. Guleva; Klavdiya O. Bochenina; Maria V. Skvorcova; Alexander V. Boukhanovsky (J. Artif. Soc. Soc. Simul., 2017)

Social Media Group Structure and Its Goals: Building an Order. - Danila A. Vaganov; Valentina Y. Guleva; Klavdiya O. Bochenina (COMPLEX NETWORKS (2), 2018)

Towards management of complex modeling through a hybrid evolutionary identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (GECCO (Companion), 2018)

Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society. - Ivan Derevitskii; Oksana Severiukhina; Klavdiya Bochenina; Daniil V. Voloshin; Anastasia A. Lantseva; Alexander Boukhanovsky (ICCS (2), 2018)

Topology of Thematic Communities in Online Social Networks: A Comparative Study. - Valentina Y. Guleva; Danila A. Vaganov; Daniil V. Voloshin; Klavdiya Bochenina (ICCS (1), 2018)

Evolutionary Ensemble Approach for Behavioral Credit Scoring. - Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Klavdiya Bochenina; Alexander A. Kudryashov; Amir Uteuov; Ivan Derevitskii; Alexander V. Boukhanovsky (ICCS (3), 2018)

Detecting Influential Users in Customer-Oriented Online Communities. - Ivan Nuzhdenko; Amir Uteuov; Klavdiya Bochenina (ICCS (3), 2018)

Parallel Data-Driven Modeling of Information Spread in Social Networks. - Oksana Severiukhina; Klavdiya Bochenina; Sergey Kesarev; Alexander Boukhanovsky (ICCS (1), 2018)

Parallel Simulation of Community-Wide Information Spreading in Online Social Networks. - Sergey Kesarev; Oksana Severiukhina; Klavdiya Bochenina (RuSCDays, 2018)

Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data. - Danila A. Vaganov; Anastasia A. Funkner; Sergey V. Kovalchuk; Valentina Y. Guleva; Klavdiya Bochenina (SocInfo (1), 2018)

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (Complex., 2018)

Scalable parallel simulation of dynamical processes on large stochastic Kronecker graphs. - Klavdiya Bochenina; Sergey Kesarev; Alexander Boukhanovsky (Future Gener. Comput. Syst., 2018)

Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory. - Tesfamariam M. Abuhay; Sergey V. Kovalchuk; Klavdiya Bochenina; Gali-Ketema Mbogo; Alexander A. Visheratin; George Kampis; Valeria V. Krzhizhanovskaya; Michael Harold Lees (J. Comput. Sci., 2018)

On Inferring Monthly Expenses of Social Media Users: Towards Data and Approaches. - Danila A. Vaganov; Alexander Kalinin 005; Klavdiya Bochenina (COMPLEX NETWORKS (1), 2019)

Forecasting Purchase Categories by Transactional Data: A Comparative Study of Classification Methods. - Egor Shikov; Klavdiya Bochenina (ICCS (3), 2019)

Optimizing Spatial Accessibility of Company Branches Network with Constraints. - Oleg Zaikin 002; Ivan Derevitskii; Klavdiya Bochenina; Janusz A. Holyst (ICCS (2), 2019)

Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes. - Petr Chunaev; Ivan Nuzhdenko; Klavdiya Bochenina (ICDM Workshops, 2019)

Bank Branch Network Optimization Based on Customers Geospatial Profiles. - Oleg Zaikin 002; Anton Petukhov; Klavdiya Bochenina (OTM Conferences, 2019)

Clustering Interest Graphs for Customer Segmentation Problems. - Ivan Derevitskii; Oksana Severiukhina; Klavdiya Bochenina (SNAMS, 2019)

Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks. - Oksana Severiukhina; Klavdiya Bochenina (SNAMS, 2019)

Composite Modularity and Parameter Tuning in the Weight-Based Fusion Model for Community Detection in Node-Attributed Social Networks. - Petr Chunaev; Timofey Gradov; Klavdiya Bochenina (COMPLEX NETWORKS (1), 2020)

Homophily based on few attributes can impede structural balance. - Piotr J. Górski; Klavdiya Bochenina; Janusz A. Holyst; Raissa M. D'Souza (CoRR, 2020)

Emerging Complexity in Distributed Intelligent Systems. - Valentina Y. Guleva; Egor Shikov; Klavdiya Bochenina; Sergey V. Kovalchuk; Alexander Alodjants; Alexander Boukhanovsky (Entropy, 2020)

Large-scale forecasting of information spreading. - Oksana Severiukhina; Sergey Kesarev; Klavdiya Bochenina; Alexander Boukhanovsky; Michael Harold Lees; Peter M. A. Sloot (J. Big Data, 2020)

Discovering patterns of customer financial behavior using social media data. - Alexander Kalinin 005; Danila A. Vaganov; Klavdiya Bochenina (Soc. Netw. Anal. Min., 2020)

Lexicon-Based Methods vs. BERT for Text Sentiment Analysis. - Anastasia Kotelnikova; Danil Paschenko; Klavdiya Bochenina; Evgeny V. Kotelnikov (AIST, 2021)

Predictability Classes for Forecasting Clients Behavior by Transactional Data. - Elizaveta Stavinova; Klavdiya Bochenina; Petr Chunaev (ICCS (3), 2021)

Evaluating Time Series Predictability via Transition Graph Analysis. - Anton Kovantsev; Petr Chunaev; Klavdiya Bochenina (ICDM (Workshops), 2021)

The machinery of the weight-based fusion model for community detection in node-attributed social networks. - Petr Chunaev; Timofey Gradov; Klavdiya Bochenina (Soc. Netw. Anal. Min., 2021)

Content-Aware Generative Model for Multi-item Outfit Recommendation. - Valery Volokha; Klavdiya Bochenina (ICCS (1), 2022)

Modelling Influence of Motivation on Efficient Tasks Distribution for Given Team-project Correspondence. - Valentina Y. Guleva; Egor Shikov; Klavdiya O. Bochenina (ICORES, 2022)

Argumentative Text Generation in Economic Domain. - Irina Fishcheva; Dmitriy Osadchiy; Klavdiya Bochenina; Evgeny V. Kotelnikov (CoRR, 2022)

Synthetic Data-Based Simulators for Recommender Systems: A Survey. - Elizaveta Stavinova; Alexander Grigorievskiy; Anna Volodkevich; Petr Chunaev; Klavdiya Bochenina; Dmitry Bugaychenko (CoRR, 2022)

Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area. - Klavdiya Bochenina; Anton Taleiko; Laura Ruotsalainen (SUMO, 2023)

Combination of individual and group patterns for time-sensitive purchase recommendation. - Anton Lysenko; Egor Shikov; Klavdiya Bochenina (Int. J. Data Sci. Anal., 2023)

A reinforcement learning-based metaheuristic algorithm for on-demand ride-pooling. - Klavdiya Bochenina; Laura Ruotsalainen (IE, 2024)

Conciliator steering: Imposing user preference in multi-objective reinforcement learning. - Sara Pyykölä; Klavdiya O. Bochenina; Laura Ruotsalainen (Trans. Mach. Learn. Res., 2024)

Evolution of the computational science community: The dynamics of topics and collaborations in 24 years of ICCS and JoCS publications. - Lijing Luo; Klavdiya Bochenina; Tesfamariam M. Abuhay; Nachyn Dorzhu; George Kampis; Sergey V. Kovalchuk; Valeria V. Krzhizhanovskaya; Maciej Paszynski; Clélia de Mulatier; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2025)