Lyudmyla Kirichenko

Orcid: 0000-0002-2780-7993

According to our database1, Lyudmyla Kirichenko authored at least 38 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Multicriteria Linear Assignment Problem in Healthcare Improvement.
Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, 2024

2023
Constraint Community Detection: modelling approaches with applications.
Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

Analysis of the Influence of Pulse Width Modulation of Artificial Lighting Sources on the Human Body Using Artificial Intelligence Methods.
Proceedings of the Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv, 2023

The Fractional Brownian Motion Dataset for Evaluating Extreme Quantiles Forecasting Methods.
Proceedings of the Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv, 2023

Trap Detection in Brownian Particle Trajectories Using Machine Learning Clustering Methods.
Proceedings of the 18th IEEE International Conference on Computer Science and Information Technologies, 2023

2022
Detection of Shoplifting on Video Using a Hybrid Network.
Comput., 2022

Binary classification: Ensemble Methods Utilizing Decision Theory Tools.
Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, 2022

Trend Detection in Short Time Series Using Discrete Wavelet Transform.
Proceedings of the Selected Papers of the IX International Scientific Conference "Information Technology and Implementation" (IT&I-2022). Conference Proceedings Kyiv, Ukraine, November 30, 2022

Application of Wavelet Transform for Machine Learning Classification of Time Series.
Proceedings of the Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 2022

Video Surveillance Shoplifting Recognition Based on a Hybrid Neural Network.
Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

Wavelet-Based Estimation of Hurst Exponent Using Neural Network.
Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

2021
Clustering Time Series of Complex Dynamics by Features.
Proceedings of the Selected Papers of the VIII International Scientific Conference "Information Technology and Implementation" (IT&I-2021). Conference Proceedings, 2021

Applying Visibility Graphs to Classify Time Series.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2021

Analysis of Anomaly Detection and Identification Methods in 5G Traffic.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Applying Recurrence Plots to Classify Time Series.
Proceedings of the 5th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2021). Volume I: Main Conference, 2021

2020
Classification of Time Realizations Using Machine Learning Recognition of Recurrence Plots.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2020

Two Approaches to Machine Learning Classification of Time Series Based on Recurrence Plots.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

The Complex Method of Intrusion Detection Based on Anomaly Detection and Misuse Detection.
Proceedings of the 11th IEEE International Conference on Dependable Systems, 2020

Machine learning classification of multifractional Brownian motion realizations.
Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

2019
Machine Learning in Classification Time Series with Fractal Properties.
Data, 2019

The Methods to Improve Quality of Service by Accounting Secure Parameters.
CoRR, 2019

Fractal Time Series Analysis of Social Network Activities.
CoRR, 2019

Calculation of distributed system imbalance in condition of multifractal load.
CoRR, 2019

Dynamic load balancing algorithm of distributed systems.
CoRR, 2019

Decrypting SSL/TLS traffic for hidden threats detection.
CoRR, 2019

Method of Self-Similar Load Balancing in Network Intrusion Detection System.
CoRR, 2019

Calculation of routing value in MPLS network according to traffic fractal properties.
CoRR, 2019

Analyzes of the Distributed System Load with Multifractal Input Data Flows.
CoRR, 2019

Development of QoS methods in the information networks with fractal traffic.
CoRR, 2019

Binary Classification of Fractal Time Series by Machine Learning Methods.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

Classification Methods of Machine Learning to Detect DDoS Attacks.
Proceedings of the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2019

Comparative Analysis of Noisy Time Series Clusterin.
Proceedings of the 3rd International Conference on Computational Linguistics and Intelligent Systems (COLINS-2019). Volume I: Main Conference, 2019

Machine Learning Detection of DDoS Attacks Based on Visualization of Recurrence Plots.
Proceedings of the International Workshop on Conflict Management in Global Information Networks (CMiGIN 2019) co-located with 1st International Conference on Cyber Hygiene and Conflict Management in Global Information Networks (CyberConf 2019), 2019

2018
Detecting cyber threats through social network analysis: short survey.
CoRR, 2018

Time Series Classification Based on Fractal Properties.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

2017
Forecasting weakly correlated time series in tasks of electronic commerce.
Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

2016
Investigation of multifractal properties of additive data stream.
Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

2015
Investigation of self-similar properties of additive data traffic.
Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015


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