Quantization of the Space of Structural Image Features as a Way to Increase Recognition Performance. - Volodymyr Gorokhovatskyi; Oleksii Gorokhovatskyi; Yevgenyi Putyatin; Olena Peredrii (DSMP, 2018)

Shallow Convolutional Neural Networks for Pattern Recognition Problems. - Oleksii Gorokhovatskyi; Olena Peredrii (DSMP, 2018)

Analysis of Application of Cluster Descriptions in Space of Characteristic Image Features. - Oleksii Gorokhovatskyi; Volodymyr Gorokhovatskyi; Olena Peredrii (Data, 2018)

Investigation of Random Neighborhood Features for Interpretation of MLP Classification Results. - Oleksii Gorokhovatskyi; Olena Peredrii; Volodymyr Zatkhei; Oleh Teslenko (ISDMCI, 2019)

Multiclass Image Classification Explanation with the Complement Perturbation Images. - Oleksii Gorokhovatskyi; Olena Peredrii (DSMP (Selected Papers), 2020)

Interpretability of Neural Network Binary Classification with Part Analysis. - Oleksii Gorokhovatskyi; Olena Peredrii; Volodymyr Gorokhovatskyi (DSMP, 2020)

Recursive Division of Image for Explanation of Shallow CNN Models. - Oleksii Gorokhovatskyi; Olena Peredrii (ICPR Workshops (3), 2020)

Fine-Tuning of the Measure for Full Reference Image Quality Assessment. - Oleksii Gorokhovatskyi; Olena Peredrii (ISDMCI, 2021)

Video Stream Gender Classification Using Shallow CNN. - Oleksii Gorokhovatskyi; Olena Peredrii (Int. J. Pattern Recognit. Artif. Intell., 2021)

Image Pair Comparison for Near-duplicates Detection. - Oleksii Gorokhovatskyi; Olena Peredrii (Int. J. Comput., 2023)

Algorithmization of Intellectual Data Analysis for Measuring the Country's Innovation Potential. - Olena Peredrii; Nataliya Vnukova; Daria Davydenko; Vasyl Pyvovarov; Serhii Hlibko; Nataliya Opeshko (COLINS (2), 2024)

Recursive Division Explainability as a Factor of CNN Quality. - Oleksii Gorokhovatskyi; Olena Peredrii (ISDMCI (1), 2024)