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ORCIDLyudmyla Kirichenko
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Journal Articles
- 2022
[j2]Lyudmyla Kirichenko
, Tamara Radivilova, Bohdan Sydorenko, Sergiy Yakovlev:
Detection of Shoplifting on Video Using a Hybrid Network. Comput. 10(11): 199 (2022)- 2019
- [j1]Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh:
Machine Learning in Classification Time Series with Fractal Properties. Data 4(1): 5 (2019)
Conference and Workshop Papers
- 2024
- [c26]Oksana Pichugina, Lyudmyla Kirichenko, Yurii Skob:
Multicriteria Linear Assignment Problem in Healthcare Improvement. ProfIT AI 2024: 175-184 - 2023
- [c25]Lyudmyla Kirichenko, Daryna Khatsko, Oksana Pichugina:
Trap Detection in Brownian Particle Trajectories Using Machine Learning Clustering Methods. CSIT 2023: 1-4 - [c24]Lyudmyla Kirichenko, Roman Lavrynenko, Nataliya Ryabova:
The Fractional Brownian Motion Dataset for Evaluating Extreme Quantiles Forecasting Methods. IntSol 2023: 33-43 - [c23]Lyudmyla Kirichenko, Artur Zhadan, Alla Selivanova:
Analysis of the Influence of Pulse Width Modulation of Artificial Lighting Sources on the Human Body Using Artificial Intelligence Methods. IntSol 2023: 136-147 - [c22]Oksana Pichugina, Lyudmyla Kirichenko, Yurii Skob, Olha Matsiy:
Constraint Community Detection: modelling approaches with applications. ProfIT AI 2023: 204-215 - 2022
- [c21]Lyudmyla Kirichenko, Kyrylo Pavlenko, Daryna Khatsko:
Wavelet-Based Estimation of Hurst Exponent Using Neural Network. CSIT 2022: 40-43 - [c20]Lyudmyla Kirichenko, Bohdan Sydorenko, Tamara Radivilova, Petro Zinchenko:
Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network. CSIT 2022: 44-47 - [c19]Lyudmyla Kirichenko, Oksana Pichugina, Tamara Radivilova, Kyrylo Pavlenko:
Application of Wavelet Transform for Machine Learning Classification of Time Series. ISDMCI 2022: 547-563 - [c18]Lyudmyla Kirichenko, Tamara Radivilova, Oksana Pichugina, Larysa Chala, Danyil Khandak:
Trend Detection in Short Time Series Using Discrete Wavelet Transform. IT&I 2022: 159-168 - [c17]Oksana Pichugina, Lyudmyla Kirichenko, Tamara Radivilova:
Binary classification: Ensemble Methods Utilizing Decision Theory Tools. ProfIT AI 2022: 19-33 - 2021
- [c16]Lyudmyla Kirichenko, Tamara Radivilova, Juliia Stepanenko:
Applying Recurrence Plots to Classify Time Series. COLINS 2021: 1770-1780 - [c15]Tamara Radivilova, Lyudmyla Kirichenko, Oleksandr Lemeshko, Dmytro Ageyev, Oksana Mulesa, Andrii Ilkov:
Analysis of Anomaly Detection and Identification Methods in 5G Traffic. IDAACS 2021: 1108-1113 - [c14]Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Ryzhanov:
Applying Visibility Graphs to Classify Time Series. ISDMCI 2021: 397-409 - [c13]Lyudmyla Kirichenko, Oksana Pichugina, Hlib Zinchenko:
Clustering Time Series of Complex Dynamics by Features. IT&I 2021: 83-93 - 2020
- [c12]Lyudmyla Kirichenko, Vitalii Bulakh, Tamara Radivilova:
Machine learning classification of multifractional Brownian motion realizations. CMIS 2020: 980-989 - [c11]Tamara Radivilova, Lyudmyla Kirichenko, Abed Saif Alghawli, Andrii Ilkov, Maxim Tawalbeh, Petro Zinchenko:
The Complex Method of Intrusion Detection Based on Anomaly Detection and Misuse Detection. DESSERT 2020: 133-137 - [c10]Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh, Petro Zinchenko, Abed Saif Alghawli:
Two Approaches to Machine Learning Classification of Time Series Based on Recurrence Plots. DSMP 2020: 84-89 - [c9]Lyudmyla Kirichenko, Petro Zinchenko, Tamara Radivilova:
Classification of Time Realizations Using Machine Learning Recognition of Recurrence Plots. ISDMCI 2020: 687-696 - 2019
- [c8]Lyudmyla Kirichenko, Petro Zinchenko, Tamara Radivilova, Maksym Tawalbeh:
Machine Learning Detection of DDoS Attacks Based on Visualization of Recurrence Plots. CMiGIN 2019: 23-34 - [c7]Lyudmyla Kirichenko, Tamara Radivilova, Anastasiia Tkachenko:
Comparative Analysis of Noisy Time Series Clusterin. COLINS 2019: 184-196 - [c6]Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh:
Classification Methods of Machine Learning to Detect DDoS Attacks. IDAACS 2019: 207-210 - [c5]Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh:
Binary Classification of Fractal Time Series by Machine Learning Methods. ISDMCI 2019: 701-711 - 2018
- [c4]Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova:
Time Series Classification Based on Fractal Properties. DSMP 2018: 198-201 - 2017
- [c3]Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich:
Forecasting weakly correlated time series in tasks of electronic commerce. CSIT (1) 2017: 309-312 - 2016
- [c2]Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of multifractal properties of additive data stream. DSMP 2016: 305-308 - 2015
- [c1]Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of self-similar properties of additive data traffic. CSIT 2015: 169-171
Informal and Other Publications
- 2019
- [i14]Yousef Daradkeh Eid Mubarak, Lyudmyla Kirichenko, Tamara Radivilova:
Development of QoS methods in the information networks with fractal traffic. CoRR abs/1904.05202 (2019) - [i13]Lyudmyla Kirichenko, Tamara Radivilova:
Analyzes of the Distributed System Load with Multifractal Input Data Flows. CoRR abs/1904.05218 (2019) - [i12]Tamara Radivilova, Lyudmyla Kirichenko, Oleksandra Yeremenko:
Calculation of routing value in MPLS network according to traffic fractal properties. CoRR abs/1904.05303 (2019) - [i11]Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of Self-similar Properties of Additive Data Traffic. CoRR abs/1904.05925 (2019) - [i10]Dmytro Ageyev, Lyudmyla Kirichenko, Tamara Radivilova, Maksym Tawalbeh, Oleksii Baranovskyi:
Method of Self-Similar Load Balancing in Network Intrusion Detection System. CoRR abs/1904.05926 (2019) - [i9]Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageyev, Maxim Tawalbeh, Vitalii Bulakh:
Decrypting SSL/TLS traffic for hidden threats detection. CoRR abs/1904.08383 (2019) - [i8]Lyudmila Kirichenko, Igor Ivanisenko, Tamara Radivilova:
Dynamic load balancing algorithm of distributed systems. CoRR abs/1904.09227 (2019) - [i7]Tamara Radivilova, Lyudmyla Kirichenko, Igor Ivanisenko:
Calculation of distributed system imbalance in condition of multifractal load. CoRR abs/1904.09834 (2019) - [i6]Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich:
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce. CoRR abs/1904.10927 (2019) - [i5]Lyudmyla Kirichenko, Vitalii Bulakh, Tamara Radivilova:
Fractal Time Series Analysis of Social Network Activities. CoRR abs/1905.01018 (2019) - [i4]Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh:
The Methods to Improve Quality of Service by Accounting Secure Parameters. CoRR abs/1905.01960 (2019) - [i3]Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova:
Time series classification based on fractal properties. CoRR abs/1905.03096 (2019) - [i2]Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova:
Investigation of Multifractal Properties of Additive Data Stream. CoRR abs/1905.03585 (2019) - 2018
- [i1]Lyudmyla Kirichenko, Tamara Radivilova, Anders Carlsson:
Detecting cyber threats through social network analysis: short survey. CoRR abs/1805.06680 (2018)
Coauthor Index
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