Investigation of self-similar properties of additive data traffic. - Igor Ivanisenko; Lyudmyla Kirichenko; Tamara Radivilova (CSIT, 2015)

Investigation of multifractal properties of additive data stream. - Igor Ivanisenko; Lyudmyla Kirichenko; Tamara Radivilova (DSMP, 2016)

Forecasting weakly correlated time series in tasks of electronic commerce. - Lyudmyla Kirichenko; Tamara Radivilova; Illya Zinkevich (CSIT (1), 2017)

Time Series Classification Based on Fractal Properties. - Vitalii Bulakh; Lyudmyla Kirichenko; Tamara Radivilova (DSMP, 2018)

Detecting cyber threats through social network analysis: short survey. - Lyudmyla Kirichenko; Tamara Radivilova; Anders Carlsson (CoRR, 2018)

Machine Learning Detection of DDoS Attacks Based on Visualization of Recurrence Plots. - Lyudmyla Kirichenko; Petro Zinchenko; Tamara Radivilova; Maksym Tawalbeh (CMiGIN, 2019)

Comparative Analysis of Noisy Time Series Clusterin. - Lyudmyla Kirichenko; Tamara Radivilova; Anastasiia Tkachenko (COLINS, 2019)

Classification Methods of Machine Learning to Detect DDoS Attacks. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageiev; Vitalii Bulakh (IDAACS, 2019)

Binary Classification of Fractal Time Series by Machine Learning Methods. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh (ISDMCI, 2019)

Development of QoS methods in the information networks with fractal traffic. - Yousef Daradkeh Eid Mubarak; Lyudmyla Kirichenko; Tamara Radivilova (CoRR, 2019)

Analyzes of the Distributed System Load with Multifractal Input Data Flows. - Lyudmyla Kirichenko; Tamara Radivilova (CoRR, 2019)

Calculation of routing value in MPLS network according to traffic fractal properties. - Tamara Radivilova; Lyudmyla Kirichenko; Oleksandra Yeremenko (CoRR, 2019)

Method of Self-Similar Load Balancing in Network Intrusion Detection System. - Dmytro Ageyev; Lyudmyla Kirichenko; Tamara Radivilova; Maksym Tawalbeh; Oleksii Baranovskyi (CoRR, 2019)

Decrypting SSL/TLS traffic for hidden threats detection. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageyev; Maxim Tawalbeh; Vitalii Bulakh (CoRR, 2019)

Dynamic load balancing algorithm of distributed systems. - Lyudmila Kirichenko; Igor Ivanisenko; Tamara Radivilova (CoRR, 2019)

Calculation of distributed system imbalance in condition of multifractal load. - Tamara Radivilova; Lyudmyla Kirichenko; Igor Ivanisenko (CoRR, 2019)

Fractal Time Series Analysis of Social Network Activities. - Lyudmyla Kirichenko; Vitalii Bulakh; Tamara Radivilova (CoRR, 2019)

The Methods to Improve Quality of Service by Accounting Secure Parameters. - Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageiev; Vitalii Bulakh (CoRR, 2019)

Machine Learning in Classification Time Series with Fractal Properties. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh (Data, 2019)

Machine learning classification of multifractional Brownian motion realizations. - Lyudmyla Kirichenko; Vitalii Bulakh; Tamara Radivilova (CMIS, 2020)

The Complex Method of Intrusion Detection Based on Anomaly Detection and Misuse Detection. - Tamara Radivilova; Lyudmyla Kirichenko; Abed Saif Alghawli; Andrii Ilkov; Maxim Tawalbeh; Petro Zinchenko (DESSERT, 2020)

Two Approaches to Machine Learning Classification of Time Series Based on Recurrence Plots. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Bulakh; Petro Zinchenko; Abed Saif Alghawli (DSMP, 2020)

Classification of Time Realizations Using Machine Learning Recognition of Recurrence Plots. - Lyudmyla Kirichenko; Petro Zinchenko; Tamara Radivilova (ISDMCI, 2020)

Applying Recurrence Plots to Classify Time Series. - Lyudmyla Kirichenko; Tamara Radivilova; Juliia Stepanenko (COLINS, 2021)

Analysis of Anomaly Detection and Identification Methods in 5G Traffic. - Tamara Radivilova; Lyudmyla Kirichenko; Oleksandr Lemeshko; Dmytro Ageyev; Oksana Mulesa; Andrii Ilkov (IDAACS, 2021)

Applying Visibility Graphs to Classify Time Series. - Lyudmyla Kirichenko; Tamara Radivilova; Vitalii Ryzhanov (ISDMCI, 2021)

Clustering Time Series of Complex Dynamics by Features. - Lyudmyla Kirichenko; Oksana Pichugina; Hlib Zinchenko (IT&I, 2021)

Wavelet-Based Estimation of Hurst Exponent Using Neural Network. - Lyudmyla Kirichenko; Kyrylo Pavlenko; Daryna Khatsko (CSIT, 2022)

Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network. - Lyudmyla Kirichenko; Bohdan Sydorenko; Tamara Radivilova; Petro Zinchenko (CSIT, 2022)

Application of Wavelet Transform for Machine Learning Classification of Time Series. - Lyudmyla Kirichenko; Oksana Pichugina; Tamara Radivilova; Kyrylo Pavlenko (ISDMCI, 2022)

Trend Detection in Short Time Series Using Discrete Wavelet Transform. - Lyudmyla Kirichenko; Tamara Radivilova; Oksana Pichugina; Larysa Chala; Danyil Khandak (IT&I, 2022)

Binary classification: Ensemble Methods Utilizing Decision Theory Tools. - Oksana Pichugina; Lyudmyla Kirichenko; Tamara Radivilova (ProfIT AI, 2022)

Detection of Shoplifting on Video Using a Hybrid Network. - Lyudmyla Kirichenko; Tamara Radivilova; Bohdan Sydorenko; Sergiy Yakovlev (Comput., 2022)

Trap Detection in Brownian Particle Trajectories Using Machine Learning Clustering Methods. - Lyudmyla Kirichenko; Daryna Khatsko; Oksana Pichugina (CSIT, 2023)

The Fractional Brownian Motion Dataset for Evaluating Extreme Quantiles Forecasting Methods. - Lyudmyla Kirichenko; Roman Lavrynenko; Nataliya Ryabova (IntSol, 2023)

Analysis of the Influence of Pulse Width Modulation of Artificial Lighting Sources on the Human Body Using Artificial Intelligence Methods. - Lyudmyla Kirichenko; Artur Zhadan; Alla Selivanova (IntSol, 2023)

Constraint Community Detection: modelling approaches with applications. - Oksana Pichugina; Lyudmyla Kirichenko; Yurii Skob; Olha Matsiy (ProfIT AI, 2023)

Exploring Stochastic Time Series Structure Through Wavelet Entropy. - Lyudmyla Kirichenko; Oksana Pichugina; Larysa Chala; Tamara Radivilova (ISDMCI (1), 2024)

Multicriteria Linear Assignment Problem in Healthcare Improvement. - Oksana Pichugina; Lyudmyla Kirichenko; Yurii Skob (ProfIT AI, 2024)