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Volodymyr Gorokhovatskyi
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2020 – today
- 2024
- [j7]Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Olena Yakovleva, Monika Hudáková, Oleksii Gorokhovatskyi:
Application a Committee of Kohonen Neural Networks to Training of Image Classifier Based on Description of Descriptors Set. IEEE Access 12: 73376-73385 (2024) - 2023
- [j6]Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Svitlana Gadetska, Mujahed Al Dhaifallah:
Statistical Data Analysis Models for Determining the Relevance of Structural Image Descriptions. IEEE Access 11: 126938-126949 (2023) - [j5]Volodymyr Gorokhovatskyi, Svitlana Gadetska, Natalia Stiahlyk:
Accelerating Image Classification based on a Model for Estimating Descriptor-to-Class Distance. Int. J. Comput. 22(4): 485-492 (2023) - 2022
- [j4]Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Medien Zeghid:
Tools for Fast Metric Data Search in Structural Methods for Image Classification. IEEE Access 10: 124738-124746 (2022) - [c8]Svitlana Gadetska, Volodymyr Gorokhovatskyi, Natalya Styaglick, Nataliia Vlasenko:
Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods. CMIS 2022: 68-77 - 2021
- [j3]Yousef Ibrahim Daradkeh, Iryna Tvoroshenko, Volodymyr Gorokhovatskyi, Liza Abdul Latiff, Norulhusna Binti Ahmad:
Development of Effective Methods for Structural Image Recognition Using the Principles of Data Granulation and Apparatus of Fuzzy Logic. IEEE Access 9: 13417-13428 (2021) - [j2]Yousef Ibrahim Daradkeh, Volodymyr Gorokhovatskyi, Iryna Tvoroshenko, Svitlana Gadetska, Mujahed Al Dhaifallah:
Methods of Classification of Images on the Basis of the Values of Statistical Distributions for the Composition of Structural Description Components. IEEE Access 9: 92964-92973 (2021) - 2020
- [c7]Volodymyr Gorokhovatskyi, Iryna Tvoroshenko:
Image classification based on the kohonen network and the data space modification. CMIS 2020: 1013-1026 - [c6]Volodymyr Gorokhovatskyi, Svitlana Gadetska, Natalia Stiahlyk:
Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set. CMIS 2020: 1027-1039 - [c5]Oleksii Gorokhovatskyi, Olena Peredrii, Volodymyr Gorokhovatskyi:
Interpretability of Neural Network Binary Classification with Part Analysis. DSMP 2020: 136-141 - [c4]Volodymyr Gorokhovatskyi, Svitlana Gadetska, Oleksii Gorokhovatskyi, Roman Ponomarenko:
Statistical Methods for Analyzing and Processing Data Components When Recognizing Visual Objects in the Space of Key Point Descriptors. DSMP (Selected Papers) 2020: 241-252
2010 – 2019
- 2019
- [c3]Volodymyr Gorokhovatskyi, Svitlana Gadetska, Roman Ponomarenko:
Recognition of Visual Objects Based on Statistical Distributions for Blocks of Structural Description of Image. ISDMCI 2019: 501-512 - 2018
- [j1]Oleksii Gorokhovatskyi, Volodymyr Gorokhovatskyi, Olena Peredrii:
Analysis of Application of Cluster Descriptions in Space of Characteristic Image Features. Data 3(4): 52 (2018) - [c2]Volodymyr Gorokhovatskyi, Svitlana Gadetska:
Classification of Images of Visual Objects Based on Statistical Relevance Measures of Their Structural Descriptions. CSIT (1) 2018: 68-71 - [c1]Volodymyr Gorokhovatskyi, Oleksii Gorokhovatskyi, Yevgenyi Putyatin, Olena Peredrii:
Quantization of the Space of Structural Image Features as a Way to Increase Recognition Performance. DSMP 2018: 464-467
Coauthor Index
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last updated on 2024-07-15 01:04 CEST by the dblp team
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