Classification of Images of Visual Objects Based on Statistical Relevance Measures of Their Structural Descriptions. - Volodymyr Gorokhovatskyi; Svitlana Gadetska (CSIT (1), 2018)

Recognition of Visual Objects Based on Statistical Distributions for Blocks of Structural Description of Image. - Volodymyr Gorokhovatskyi; Svitlana Gadetska; Roman Ponomarenko (ISDMCI, 2019)

Image structural classification technologies based on statistical analysis of descriptions in the form of bit descriptor set. - Volodymyr Gorokhovatskyi; Svitlana Gadetska; Natalia Stiahlyk (CMIS, 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)

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)

Aggregate Parametric Representation of Image Structural Description in Statistical Classification Methods. - Svitlana Gadetska; Volodymyr Gorokhovatskyi; Natalya Styaglick; Nataliia Vlasenko (CMIS, 2022)

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)

Accelerating Image Classification based on a Model for Estimating Descriptor-to-Class Distance. - Volodymyr Gorokhovatskyi; Svitlana Gadetska; Natalia Stiahlyk (Int. J. Comput., 2023)