Klavdiya Bochenina

Orcid: 0000-0001-6025-0552

According to our database1, Klavdiya Bochenina authored at least 51 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Conciliator steering: Imposing user preference in multi-objective reinforcement learning.
Trans. Mach. Learn. Res., 2024

A reinforcement learning-based metaheuristic algorithm for on-demand ride-pooling.
Proceedings of the International Conference on Intelligent Environments, 2024

2023
Combination of individual and group patterns for time-sensitive purchase recommendation.
Int. J. Data Sci. Anal., August, 2023

Simulation-Based Origin-Destination Matrix Reduction: A Case Study of Helsinki City Area.
Proceedings of the SUMO User Conference 2023, Berlin, Germany, May 2-4, 2023, 2023

2022
Synthetic Data-Based Simulators for Recommender Systems: A Survey.
CoRR, 2022

Argumentative Text Generation in Economic Domain.
CoRR, 2022

Modelling Influence of Motivation on Efficient Tasks Distribution for Given Team-project Correspondence.
Proceedings of the 11th International Conference on Operations Research and Enterprise Systems, 2022

Content-Aware Generative Model for Multi-item Outfit Recommendation.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
The machinery of the weight-based fusion model for community detection in node-attributed social networks.
Soc. Netw. Anal. Min., 2021

Evaluating Time Series Predictability via Transition Graph Analysis.
Proceedings of the 2021 International Conference on Data Mining, 2021

Predictability Classes for Forecasting Clients Behavior by Transactional Data.
Proceedings of the Computational Science - ICCS 2021, 2021

Lexicon-Based Methods vs. BERT for Text Sentiment Analysis.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020
Discovering patterns of customer financial behavior using social media data.
Soc. Netw. Anal. Min., 2020

Large-scale forecasting of information spreading.
J. Big Data, 2020

Emerging Complexity in Distributed Intelligent Systems.
Entropy, 2020

Homophily based on few attributes can impede structural balance.
CoRR, 2020

Composite Modularity and Parameter Tuning in the Weight-Based Fusion Model for Community Detection in Node-Attributed Social Networks.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Clustering Interest Graphs for Customer Segmentation Problems.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Bank Branch Network Optimization Based on Customers Geospatial Profiles.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019

Community Detection in Attributed Social Networks: A Unified Weight-Based Model and Its Regimes.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Optimizing Spatial Accessibility of Company Branches Network with Constraints.
Proceedings of the Computational Science - ICCS 2019, 2019

Forecasting Purchase Categories by Transactional Data: A Comparative Study of Classification Methods.
Proceedings of the Computational Science - ICCS 2019, 2019

On Inferring Monthly Expenses of Social Media Users: Towards Data and Approaches.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Analysis of publication activity of computational science society in 2001-2017 using topic modelling and graph theory.
J. Comput. Sci., 2018

Scalable parallel simulation of dynamical processes on large stochastic Kronecker graphs.
Future Gener. Comput. Syst., 2018

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification.
Complex., 2018

Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data.
Proceedings of the Social Informatics, 2018

Parallel Simulation of Community-Wide Information Spreading in Online Social Networks.
Proceedings of the Supercomputing, 2018

Parallel Data-Driven Modeling of Information Spread in Social Networks.
Proceedings of the Computational Science - ICCS 2018, 2018

Detecting Influential Users in Customer-Oriented Online Communities.
Proceedings of the Computational Science - ICCS 2018, 2018

Evolutionary Ensemble Approach for Behavioral Credit Scoring.
Proceedings of the Computational Science - ICCS 2018, 2018

Topology of Thematic Communities in Online Social Networks: A Comparative Study.
Proceedings of the Computational Science - ICCS 2018, 2018

Multiagent Context-Dependent Model of Opinion Dynamics in a Virtual Society.
Proceedings of the Computational Science - ICCS 2018, 2018

Towards management of complex modeling through a hybrid evolutionary identification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Social Media Group Structure and Its Goals: Building an Order.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
A Simulation Tool for Exploring the Evolution of Temporal Interbank Networks.
J. Artif. Soc. Soc. Simul., 2017

Influenza peaks forecasting in Russia: assessing the applicability of statistical methods.
Proceedings of the International Conference on Computational Science, 2017

Russian Interbank Network Reconstruction via Metaheuristic Algorithm.
Proceedings of the International Conference on Computational Science, 2017

Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory.
Proceedings of the International Conference on Computational Science, 2017

Hybrid CPU-GPU Simulation of Hierarchical Adaptive Random Boolean Networks.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

Graph Theoretical Approach to Bow-Tie Interbank Networks Reconstruction.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments.
Future Gener. Comput. Syst., 2016

Modeling Knowledge Transfer and the Transdisciplinary Effect on Project-based Learning Activities.
Proceedings of the International Conference on Computational Science 2016, 2016

A Parallel Algorithm for Modeling of Dynamical Processes on Large Stochastic Kronecker Graphs.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems.
Proceedings of the International Conference on Computational Science, 2015

The approach to design of STEM courses' learning resources based on students' activity with the use of scientific resources' databases.
Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

2014
Design Virtual Learning Labs for Courses in Computational Science with Use of Cloud Computing Technologies.
Proceedings of the International Conference on Computational Science, 2014

A Comparative Study of Scheduling Algorithms for the Multiple Deadline-constrained Workflows in Heterogeneous Computing Systems with Time Windows.
Proceedings of the International Conference on Computational Science, 2014

Using a cyclic model of knowledge transfer for the development of transdisciplinary learning environments.
Proceedings of the IEEE Frontiers in Education Conference, 2014

Dutch-Russian double degree master's program curricula in computational science and high performance computing.
Proceedings of the IEEE Frontiers in Education Conference, 2014


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