Volodymyr Gorokhovatskyi

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Olena Yakovleva, Monika Hudáková, Oleksii Gorokhovatskyi

IEEE Access, 2024

2023

Accelerating Image Classification based on a Model for Estimating Descriptor-to-Class Distance.

Volodymyr Gorokhovatskyi, Svitlana Gadetska, Natalia Stiahlyk

Int. J. Comput., 2023

Statistical Data Analysis Models for Determining the Relevance of Structural Image Descriptions.

Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Svitlana Gadetska, Mujahed Al Dhaifallah

IEEE Access, 2023

2022

Tools for Fast Metric Data Search in Structural Methods for Image Classification.

Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Medien Zeghid

IEEE Access, 2022

Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods.

Svitlana Gadetska, Volodymyr Gorokhovatskyi, Natalya Styaglick, Nataliia Vlasenko

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.

Yousef Ibrahim Daradkeh, Iryna Tvoroshenko, Volodymyr Gorokhovatskyi, Liza Abdul Latiff, Norulhusna Binti Ahmad

IEEE Access, 2021

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

Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Svitlana Gadetska, Mujahed Al Dhaifallah

IEEE Access, 2021

2020

Interpretability of Neural Network Binary Classification with Part Analysis.

Oleksii Gorokhovatskyi, Olena Peredrii, Volodymyr Gorokhovatskyi

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.

Volodymyr Gorokhovatskyi, Svitlana Gadetska, Oleksii Gorokhovatskyi, Roman Ponomarenko

DSMP (Selected Papers), 2020

Image classification based on the kohonen network and the data space modification.

Volodymyr Gorokhovatskyi, Iryna Tvoroshenko

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.

Volodymyr Gorokhovatskyi, Svitlana Gadetska, Natalia Stiahlyk

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.

Volodymyr Gorokhovatskyi, Svitlana Gadetska, Roman Ponomarenko

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.

Oleksii Gorokhovatskyi, Volodymyr Gorokhovatskyi, Olena Peredrii

Data, 2018

Quantization of the Space of Structural Image Features as a Way to Increase Recognition Performance.

Volodymyr Gorokhovatskyi, Oleksii Gorokhovatskyi, Yevgenyi Putyatin, Olena Peredrii

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.

Volodymyr Gorokhovatskyi, Svitlana Gadetska

Proceedings of the Advances in Intelligent Systems and Computing III, 2018