| DETECTING NOISE IN FRACTAL TIME SERIES USING MACHINE LEARNING L Kirichenko, M Avsitidiiskyi Міжнародна науково-технічна конференція Інформаційні технології в металургії …, 2024 | | 2024 |
| Trap Detection in Brownian Particle Trajectories Using Machine Learning Clustering Methods L Kirichenko, D Khatsko, O Pichugina 2023 IEEE 18th International Conference on Computer Science and Information …, 2023 | | 2023 |
| Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting L Kirichenko, R Lavrynenko Fractal and Fractional 7 (7), 517, 2023 | 4 | 2023 |
| Analysis of the Influence of Pulse Width Modulation of Artificial Lighting Sources on the Human Body Using Artificial Intelligence Methods L Kirichenko, A Zhadan, A Selivanova | | 2023 |
| The Fractional Brownian Motion Dataset for Evaluating Extreme Quantiles Forecasting Methods L Kirichenko, R Lavrynenko, N Ryabova | | 2023 |
| Recognition of Shoplifting Activities in CCTV Footage Using the Combined CNN-RNN Model L Kirichenko, O Pichugina, B Sydorenko, S Yakovlev Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial …, 2023 | | 2023 |
| Wavelet-Based Estimation of Hurst Exponent Using Neural Network L Kirichenko, K Pavlenko, D Khatsko 2022 IEEE 17th International Conference on Computer Sciences and Information …, 2022 | 3 | 2022 |
| Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network L Kirichenko, B Sydorenko, T Radivilova, P Zinchenko 2022 IEEE 17th International Conference on Computer Sciences and Information …, 2022 | | 2022 |
| Detection of shoplifting on video using a hybrid network L Kirichenko, T Radivilova, B Sydorenko, S Yakovlev Computation 10 (11), 199, 2022 | 10 | 2022 |
| Application of Wavelet Transform for Machine Learning Classification of Time Series L Kirichenko, O Pichugina, T Radivilova, K Pavlenko International Scientific Conference “Intellectual Systems of Decision Making …, 2022 | 1 | 2022 |
| Statistical and Signature Analysis Methods of Intrusion Detection T Radivilova, L Kirichenko, AS Alghawli, D Ageyev, O Mulesa, ... Information Security Technologies in the Decentralized Distributed Networks …, 2022 | 4 | 2022 |
| Binary classification: Ensemble Methods Utilizing Decision Theory Tools. O Pichugina, L Kirichenko, T Radivilova ProfIT AI, 19-33, 2022 | 2 | 2022 |
| Trend Detection in Short Time Series Using Discrete Wavelet Transform. L Kirichenko, T Radivilova, O Pichugina, L Chala, D Khandak IT&I, 159-168, 2022 | | 2022 |
| Applying visibility graphs to classify time series L Kirichenko, T Radivilova, V Ryzhanov Lecture Notes in Computational Intelligence and Decision Making: 2021 …, 2022 | 6 | 2022 |
| Clustering Time Series of Complex Dynamics by Features. L Kirichenko, O Pichugina, H Zinchenko IT&I, 83-93, 2021 | 7 | 2021 |
| Analysis of anomaly detection and identification methods in 5G traffic T Radivilova, L Kirichenko, O Lemeshko, D Ageyev, O Mulesa, A Ilkov 2021 11th IEEE International Conference on Intelligent Data Acquisition and …, 2021 | 11 | 2021 |
| Applying recurrence plots to classify time series L Kirichenko, T Radivilova, J Stepanenko Computational linguistics and intelligent systems, 2021, 16-26, 2021 | 5 | 2021 |
| ВИЯВЛЕННЯ АНОМАЛІЙ В ТЕЛЕКОМУНІКАЦІЙНОМУ ТРАФІКУ СТАТИСТИЧНИМИ МЕТОДАМИ T Radivilova, L Kirichenko, M Tawalbeh, A Ilkov Електронне фахове наукове видання «Кібербезпека: освіта, наука, техніка» 3 …, 2021 | | 2021 |
| Two approaches to machine learning classification of time series based on recurrence plots L Kirichenko, T Radivilova, V Bulakh, P Zinchenko, AS Alghawli 2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020 | 16 | 2020 |
| Classification of time realizations using machine learning recognition of recurrence plots L Kirichenko, P Zinchenko, T Radivilova International Scientific Conference “Intellectual Systems of Decision Making …, 2020 | 26 | 2020 |
Tamara Radivilova, Тамара Радівілов...Kharkiv National University of Radio Electronics, Department of Infocommunication Engineering在 nure.ua 的电子邮件经过验证
