Link Predictability Classes in Complex Networks. - Elizaveta Stavinova; Elizaveta Evmenova; Andrey Antonov; Petr Chunaev (COMPLEX NETWORKS, 2021)

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

SynEvaRec: A Framework for Evaluating Recommender Systems on Synthetic Data Classes. - Vladimir Provalov; Elizaveta Stavinova; Petr Chunaev (ICDM (Workshops), 2021)

Dynamic Classification of Bank Clients by the Predictability of Their Transactional Behavior. - Alexandra Bezbochina; Elizaveta Stavinova; Anton Kovantsev; Petr Chunaev (ICCS (1), 2022)

MetaSieve: Performance vs. Complexity Sieve for Time Series Forecasting. - Pavel Shumkovskii; Anton Kovantsev; Elizaveta Stavinova; Petr Chunaev (ICDM (Workshops), 2022)

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

Link predictability classes in large node-attributed networks. - Andrey Antonov; Elizaveta Stavinova; Elizaveta Evmenova; Petr Chunaev (Soc. Netw. Anal. Min., 2022)

TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation. - Kirill Zakharov; Elizaveta Stavinova; Anton Lysenko (ICSEB, 2023)

Enhancing Predictability Assessment: An Overview and Analysis of Predictability Measures for Time Series and Network Links. - Alexandra Bezbochina; Elizaveta Stavinova; Anton Kovantsev; Petr Chunaev (Entropy, 2023)

Time-dependent differential privacy for enhanced data protection in synthetic transaction generation. - Kirill Zakharov; Elizaveta Stavinova (ICSCA, 2024)