Ekaterina S. Pleshakova

According to our database, Ekaterina S. Pleshakova authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Neural Operator based on Dynamic Mode Decomposition.

Nikita Sakovich, Dmitry Aksenov, Ekaterina S. Pleshakova, Sergey Gataullin

CoRR, July, 2025

2024

Correction to: Parametric study of hand dorsal vein biometric recognition vulnerability to spoofing attacks.

Pavel V. Mizinov, Natalia Sergeevna Konnova, Mikhail Alekseevich Basarab, Ekaterina S. Pleshakova

J. Comput. Virol. Hacking Tech., November, 2024

Machine learning methods for the industrial robotic systems security.

Dmitry Tsapin, Kirill Pitelinskiy, Stanislav Suvorov, Aleksey Osipov, Ekaterina S. Pleshakova, Sergey Gataullin

J. Comput. Virol. Hacking Tech., September, 2024

Next gen cybersecurity paradigm towards artificial general intelligence: Russian market challenges and future global technological trends.

Ekaterina S. Pleshakova, Aleksey Osipov, Sergey Gataullin, Timur Gataullin, Athanasios Vasilakos

J. Comput. Virol. Hacking Tech., September, 2024

The editorial for special issue "Russian Research in Artificial Intelligence for Cybersecurity" of Journal of Computer Virology and Hacking Techniques (JICV) highlights the studies of Russian researchers in the field of artificial intelligence to ensure cybersecurity.

Ekaterina S. Pleshakova, Alisa M. Koreneva

J. Comput. Virol. Hacking Tech., September, 2024

Machine learning methods for speech emotion recognition on telecommunication systems.

Alexey Osipov, Ekaterina S. Pleshakova, Yang Liu, Sergey Gataullin

J. Comput. Virol. Hacking Tech., September, 2024

Parametric study of hand dorsal vein biometric recognition vulnerability to spoofing attacks.

Pavel V. Mizinov, Natalia Sergeevna Konnova, Mikhail Alekseevich Basarab, Ekaterina S. Pleshakova

J. Comput. Virol. Hacking Tech., September, 2024

2023

Machine Learning Methods Based on Geophysical Monitoring Data in Low Time Delay Mode for Drilling Optimization.

Alexey Osipov, Ekaterina S. Pleshakova, Artem A. Bykov, Oleg R. Kuzichkin, Dmitry I. Surzhik, Stanislav Suvorov, Sergey Gataullin

IEEE Access, 2023

2022

MODELING OF MANAGEMENT PROCESSES IN DISTRIBUTED ORGANIZATIONAL SYSTEMS.

Anna Zelenina, David Petrosov, Ekaterina S. Pleshakova, Aleksey Osipov, M. N. Ivanov, Oleg Choporov, Yuriy Preobrazhenskiy, Nataliy Petrsova, Sergey Roga, Liudmila Lopatnuk, N. V. Morozov

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022