Volodymyr Gorokhovatskyi

Orcid: 0000-0002-7839-6223

According to our database1, Volodymyr Gorokhovatskyi authored at least 15 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Application a Committee of Kohonen Neural Networks to Training of Image Classifier Based on Description of Descriptors Set.
IEEE Access, 2024

2023
Accelerating Image Classification based on a Model for Estimating Descriptor-to-Class Distance.
Int. J. Comput., 2023

Statistical Data Analysis Models for Determining the Relevance of Structural Image Descriptions.
IEEE Access, 2023

2022
Tools for Fast Metric Data Search in Structural Methods for Image Classification.
IEEE Access, 2022

Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods.
Proceedings of The Fifth International Workshop on Computer Modeling and Intelligent Systems (CMIS-2022), 2022

2021
Development of Effective Methods for Structural Image Recognition Using the Principles of Data Granulation and Apparatus of Fuzzy Logic.
IEEE Access, 2021

Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components.
IEEE Access, 2021

2020
Interpretability of Neural Network Binary Classification with Part Analysis.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

Statistical Methods for Analyzing and Processing Data Components When Recognizing Visual Objects in the Space of Key Point Descriptors.
DSMP (Selected Papers), 2020

Image classification based on the kohonen network and the data space modification.
Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set.
Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), 2020

2019
Recognition of Visual Objects Based on Statistical Distributions for Blocks of Structural Description of Image.
Proceedings of the Lecture Notes in Computational Intelligence and Decision Making, 2019

2018
Analysis of Application of Cluster Descriptions in Space of Characteristic Image Features.
Data, 2018

Quantization of the Space of Structural Image Features as a Way to Increase Recognition Performance.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Classification of Images of Visual Objects Based on Statistical Relevance Measures of Their Structural Descriptions.
Proceedings of the Advances in Intelligent Systems and Computing III, 2018


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