Tamara Radivilova

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 49

Top Topics

Binary Classification

Wavelet Transform

Machine Learning

Top Venues

Publications

Oksana Mulesa, Marian Tokar, Tamara Radivilova, Olena Yatsyna, Mariia Shnitser
Information Technology Development for Social Services Consumers' Choice. IT&I (2023)
Lyudmyla Kirichenko, Tamara Radivilova, Oksana Pichugina, Larysa Chala, Danyil Khandak
Trend Detection in Short Time Series Using Discrete Wavelet Transform. IT&I (2022)
Lyudmyla Kirichenko, Tamara Radivilova, Bohdan Sydorenko, Sergiy Yakovlev
Detection of Shoplifting on Video Using a Hybrid Network. Comput. 10 (11) (2022)
Oksana Mulesa, Mykola Kotsipak, Serge Dolgikh, Yurii Bilak, Tamara Radivilova, Oleksii Baranovskyi
Collaborative Human-AI Decision-Making Systems with Numerical Channels. ACIT (2022)
Oksana Mulesa, Olga Kachmar, Ivan Myronyuk, Petro Horvat, Tamara Radivilova, Yevhenii Kykyna
Designing Semi-Automated Decision-Making Expert Systems for Healthcare Tasks. CSIT (2022)
Lyudmyla Kirichenko, Oksana Pichugina, Tamara Radivilova, Kyrylo Pavlenko
Application of Wavelet Transform for Machine Learning Classification of Time Series. ISDMCI (2022)
Lyudmyla Kirichenko, Bohdan Sydorenko, Tamara Radivilova, Petro Zinchenko
Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network. CSIT (2022)
Oksana Pichugina, Lyudmyla Kirichenko, Tamara Radivilova
Binary classification: Ensemble Methods Utilizing Decision Theory Tools. ProfIT AI (2022)
Oksana Mulesa, Anatoliy Batyuk, Fedir Geche, Olena Melnyk, Mykola Palinchak, Tamara Radivilova
Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis. CSIT (2) (2021)
Oksana Mulesa, Oleksandr Mitsa, Tamara Radivilova, Igor Povkhan, Olena Melnyk
Development of a Method to Find the Location of a Logistics Hub. IT&I (2021)
Lyudmyla Kirichenko, Tamara Radivilova, Juliia Stepanenko
Applying Recurrence Plots to Classify Time Series. COLINS (2021)
Dmytro Ageyev, Tamara Radivilova
Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks. CPITS (2021)
Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Ryzhanov
Applying Visibility Graphs to Classify Time Series. ISDMCI (2021)
Tamara Radivilova, Lyudmyla Kirichenko, Oleksandr Lemeshko, Dmytro Ageyev, Oksana Mulesa, Andrii Ilkov
Analysis of Anomaly Detection and Identification Methods in 5G Traffic. IDAACS (2021)
Lyudmyla Kirichenko, Vitalii Bulakh, Tamara Radivilova
Machine learning classification of multifractional Brownian motion realizations. CMIS (2020)
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)
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)
Anatoly Bessalov, Lyudmila Kovalchuk, Volodymyr Sokolov, Pavlo Skladannyi, Tamara Radivilova
Analysis of 2-Isogeny Properties of Generalized Form Edwards Curves. CPITS (2020)
Lyudmyla Kirichenko, Petro Zinchenko, Tamara Radivilova
Classification of Time Realizations Using Machine Learning Recognition of Recurrence Plots. ISDMCI (2020)
Lyudmila Kirichenko, Igor Ivanisenko, Tamara Radivilova
Dynamic load balancing algorithm of distributed systems. CoRR (2019)
Svitlana Popereshnyak, Sergiy Grinenko, Olena Grinenko, Oleksandr Kovalenko, Tamara Radivilova
Methods for Assessing the Maturity Levels of Software Ecosystems. CybHyg (2019)
Tamara Radivilova, Lyudmyla Kirichenko, Igor Ivanisenko
Calculation of distributed system imbalance in condition of multifractal load. CoRR (2019)
Dmytro Ageyev, Lyudmyla Kirichenko, Tamara Radivilova, Maksym Tawalbeh, Oleksii Baranovskyi
Method of Self-Similar Load Balancing in Network Intrusion Detection System. CoRR (2019)
Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich
Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce. CoRR (2019)
Igor Ivanisenko, Tamara Radivilova
The multifractal load balancing method. CoRR (2019)
Lyudmyla Kirichenko, Vitalii Bulakh, Tamara Radivilova
Fractal Time Series Analysis of Social Network Activities. CoRR (2019)
Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh
The Methods to Improve Quality of Service by Accounting Secure Parameters. CoRR (2019)
Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev, Vitalii Bulakh
Classification Methods of Machine Learning to Detect DDoS Attacks. IDAACS (2019)
Yousef Daradkeh Eid Mubarak, Lyudmyla Kirichenko, Tamara Radivilova
Development of QoS methods in the information networks with fractal traffic. CoRR (2019)
Igor Ivanisenko, Tamara Radivilova
Survey of Major Load Balancing Algorithms in Distributed System. CoRR (2019)
Artur Gudmanian, Lubov Drotianko, Oksana Shostak, Serhii Yahodzinskyi, Tamara Radivilova
Social Networks Communication Infrastructure: the Challenges of Multiculturalism. CMiGIN (2019)
Lyudmyla Kirichenko, Tamara Radivilova
Analyzes of the Distributed System Load with Multifractal Input Data Flows. CoRR (2019)
Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageyev, Maxim Tawalbeh, Vitalii Bulakh
Decrypting SSL/TLS traffic for hidden threats detection. CoRR (2019)
Tamara Radivilova, Lyudmyla Kirichenko, Oleksandra Yeremenko
Calculation of routing value in MPLS network according to traffic fractal properties. CoRR (2019)
Lyudmyla Kirichenko, Petro Zinchenko, Tamara Radivilova, Maksym Tawalbeh
Machine Learning Detection of DDoS Attacks Based on Visualization of Recurrence Plots. CMiGIN (2019)
Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova
Time series classification based on fractal properties. CoRR (2019)
Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh
Binary Classification of Fractal Time Series by Machine Learning Methods. ISDMCI (2019)
Ihor Dobrynin, Tamara Radivilova, Nadiia Maltseva, Dmytro Ageyev
Use of Approaches to the Methodology of Factor Analysis of Information Risks for the Quantitative Assessment of Information Risks Based on the Formation of Cause-And-Effect Links. CoRR (2019)
Lyudmyla Kirichenko, Tamara Radivilova, Vitalii Bulakh
Machine Learning in Classification Time Series with Fractal Properties. Data 4 (1) (2019)
Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova
Investigation of Multifractal Properties of Additive Data Stream. CoRR (2019)
Lyudmyla Kirichenko, Tamara Radivilova, Anastasiia Tkachenko
Comparative Analysis of Noisy Time Series Clusterin. COLINS (2019)
Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova
Investigation of Self-similar Properties of Additive Data Traffic. CoRR (2019)
Dmytro Ageyev, Oleg Bondarenko, Tamara Radivilova, Walla Alfroukh
Classification of Existing Virtualization Methods Used in Telecommunication Networks. CoRR (2019)
Tamara Radivilova, Hassan Ali Hassan
Test for penetration in Wi-Fi network: attacks on WPA2-PSK and WPA2-Enterprise. CoRR (2018)
Lyudmyla Kirichenko, Tamara Radivilova, Anders Carlsson
Detecting cyber threats through social network analysis: short survey. CoRR (2018)
Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova
Time Series Classification Based on Fractal Properties. DSMP (2018)
Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich
Forecasting weakly correlated time series in tasks of electronic commerce. CSIT (1) (2017)
Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova
Investigation of multifractal properties of additive data stream. DSMP (2016)
Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova
Investigation of self-similar properties of additive data traffic. CSIT (2015)