Trade-off optimal decision of the problem of software system architecture choice. - Alexander Kharchenko; Iryna Halay; Natalia Zagorodna; Ihor Bodnarchuk (CSIT, 2015)

EEG Data Fusion for Improving Accuracy of Binary Classification. - Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov; Natalia Zagorodna; Larisa Shumova (EFMI-STC, 2019)

Decision Making Support System for Individual Educational Trajectory Choice in LMS. - Yuriy Skorenkyy; Nataliya Zagorodna; Nataliia Kunanets; Ihor Baran (ITTAP, 2021)

Autonomous Quadrotor Flight Stabilisation Based on a Complementary Filter and a PID Controller. - Maryna Derkach; Inna Skarga-Bandurova; Danylo Matiuk; Natalia Zagorodna (DESSERT, 2022)

Augmented Reality Enhanced Learning Tools Development for Cybersecurity Major. - Nataliya Zagorodna; Yuriy Skorenkyy; Nataliia Kunanets; Ihor Baran; Maria Stadnyk (ITTAP, 2022)

Steady state visual evoked potential classification by modified KNN method. - Maria Stadnyk; Mykhailo Fryz; Natalia Zagorodna; Valerii Muzh; Roman V. Kochan; Joanna Nikodem; Lukasz Hamera (KES, 2022)

Prediction Machine Learning Models on Propensity Convicts to Criminal Recidivism. - Olha Kovalchuk; Mikolaj P. Karpinski; Serhiy Banakh; Mykhailo Kasianchuk; Ruslan Shevchuk; Nataliya Zagorodna (Inf., 2023)

Detection and classification of DDoS flooding attacks by machine learning method. - Dmytro Tymoshchuk; Oleh Yasniy; Mykola Mytnyk; Nataliya Zagorodna; Vitaliy Tymoshchuk (BAIT, 2024)

Identification of Salient Brain Regions for Anxiety Disorders Using Nonlinear EEG Feature Analysis. - Tetiana Biloborodova; Inna Skarga-Bandurova; Maryna Derkach; Danylo Matiuk; Nataliya Zagorodna (EFMI-STC, 2024)

Comparison of feature extraction tools for network traffic data. - Borys Lypa; Ivan Horyn; Natalia Zagorodna; Dmytro Tymoshchuk; Taras Lechachenko (ITTAP, 2024)

Modelling of automotive steel fatigue lifetime by machine learning method. - Oleh Yasniy; Dmytro Tymoshchuk; Iryna Didych; Nataliya Zagorodna; Olha Malyshevska (ITTAP, 2024)