Automated Complex for Aerial Reconnaissance Tasks in Modern Armed Conflicts. - Pylyp Prystavka; Vladyslav Sorokopud; Artem Chyrkov; Vladyslav Kovtun (CMiGIN, 2019)

Increasing the Image Sharpness with Linear Operator for Social Internet-Services. - Pylyp Prystavka; Olha Cholyshkina; Zhengbing Hu (CMiGIN, 2019)

Automated Object Recognition System based on Convolutional Autoencoder. - Pylyp Prystavka; Olha Cholyshkina; Serge Dolgikh; Denys Karpenko (ACIT, 2020)

Discrete Markov Model Application for Decision-Making in Stock Investments. - Oksana Tyvodar; Pylyp Prystavka (ICICT (2), 2021)

Latent Representations of Terrain in Aerial Image Classification. - Pylyp Prystavka; Serge Dolgikh; Olga Cholyshkina; Oleksandr Kozachuk (ICTERI, 2021)

Learned and Native Concepts in Latent Representations of Terrain Images. - Pylyp Prystavka; Serge Dolgikh; Olga Cholyshkina; Oleksandr Kozachuk (ICTERI (Revised Selected Papers), 2021)

Terrain Image Recognition with Unsupervised Generative Representations: the Effect of Anomalies. - Pylyp Prystavka; Serge Dolgikh; Oleksandr Kozachuk (ACIT, 2022)

Experimental study of distributions differential invariants based on spline image models. - Pylyp Prystavka; Olha Cholyshkina; Tetiana Sorokopud (CMiGIN, 2022)

Training set AERIAL SURVEY for Data Recognition Systems From Aerial Surveillance Cameras. - Valery Zivakin; Oleksandr Kozachuk; Pylyp Prystavka; Olha Cholyshkina (IT&I, 2022)

Sparse Generative Embeddings of Handwritten Digits. - Sergiy Gnatiuk; Pylyp Prystavka; Serge Dolgikh; Vasyl Kondratiuk; Oleksandr Kutsenko (ACIT, 2023)

Estimation of the aircraft's position based on optical channel data. - Pylyp Prystavka; Olha Cholyshkina (CH&CMiGIN, 2024)

Linear operators for filtering digital images based on two-dimensional local spline of the fifth order. - Pylyp Prystavka; Olha Cholyshkina; Oleh Dyriavko (CH&CMiGIN, 2024)

Spline model of digital images based on moment characteristics (short paper). - Anhelina Zhultynska; Pylyp Prystavka (CH&CMiGIN, 2024)

Analysis of cross-sectional neural network recognition of satellite and aerial survey data. - Valery Zivakin; Oleksandr Kozachuk; Pylyp Prystavka (CH&CMiGIN, 2024)

Enhancement of convolution operation performance using SIMD of AArch64 (short paper). - Andrii Shevchenko; Pylyp Prystavka (CPITS II, 2024)

Method for Reproducing the Estimation of Heterogeneous Mixtures of Distributions based on Non-Parametric Spline for Anomaly Detection in Digital Images (short paper). - Anhelina Zhultynska; Pylyp Prystavka (CPITS, 2025)