Discovering Interesting Associations in Gestation Course Data. - Inna Skarga-Bandurova; Tetiana Biloborodova; Maksym Nesterov (EPIA, 2017)

Multi-Database Monitoring Tool for the E-Health Services. - Igor Kotsiuba; Maksym Nesterov; Yury Yanovich; Inna Skarga-Bandurova; Tetiana Biloborodova; Viacheslav Zhygulin (IEEE BigData, 2018)

Blockchain Evolution: from Bitcoin to Forensic in Smart Grids. - Igor Kotsiuba; Artem Velykzhanin; Oleg Biloborodov; Inna Skarga-Bandurova; Tetiana Biloborodova; Yury Yanovich; Viacheslav Zhygulin (IEEE BigData, 2018)

Strategy to Managing Mixed Datasets with Missing Items. - Inna Skarga-Bandurova; Tetiana Biloborodova; Yuriy Dyachenko (IPMU (2), 2018)

Data Fusion Technique to Predicting Database Performance Issues. - Inna Skarga-Bandurova; Maksym Nesterov; Tetiana Biloborodova; Gennady Krivoulya; Igor Kotsiuba; Oleg Biloborodov (DESSERT, 2019)

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

A Personal Mobile Sensing System for Motor Symptoms Assessment of Parkinson's Disease. - Tetiana Biloborodova; Inna Skarga-Bandurova; Viktoriia Derevianchenko; Illia Skarha-Bandurov; Halyna Tatarchenko; Victoria Mokhonko (FiCloud Workshops, 2019)

Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia. - Inna Skarga-Bandurova; Tetiana Biloborodova; Maksym Nesterov (J. Medical Syst., 2019)

Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson's Disease. - Tetiana Biloborodova; Inna Skarga-Bandurova; Oleksandr Berezhnyi; Maksym Nesterov; Illia Skarha-Bandurov (ICITS, 2020)

Surgical Hand Gesture Prediction for the Operating Room. - Inna Skarga-Bandurova; Rostyslav Siriak; Tetiana Biloborodova; Fabio Cuzzolin; Vivek Singh Bawa; Mohamed Ibrahim Mohamed; R. Dinesh Jackson Samuel (pHealth, 2020)

A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets. - Tetiana Biloborodova; Inna Skarga-Bandurova; Mark Koverha; Illia Skarha-Bandurov; Yelyzaveta Yevsieieva (EFMI-STC, 2021)

Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone. - Tetiana Biloborodova; Inna Skarga-Bandurova; Igor Kotsiuba; Illia Skarha-Bandurov (MIE, 2021)

A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection. - Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov; Yehor Boltov; Maryna Derkach (pHealth, 2021)

Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations. - Inna Skarga-Bandurova; Igor Kotsiuba; Tetiana Biloborodova (IEEE Big Data, 2022)

Region of Interest Identification in the Cervical Digital Histology Images. - Tetiana Biloborodova; Semen Lomakin; Inna Skarga-Bandurova; Yana Krytska (EPIA, 2022)

ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network. - Tetiana Biloborodova; Inna Skarga-Bandurova; Illia Skarha-Bandurov; Yelyzaveta Yevsieieva; Oleh Biloborodov (MIE, 2022)

Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning. - Tetiana Biloborodova; Bríd Brosnan; Inna Skarga-Bandurova; Daniel J. Strauss (EPIA (2), 2023)

Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images. - Bríd Brosnan; Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov (ICIMTH, 2023)

Human-AI Collaboration in Decision Making: An Initial Reliability Study and Methodology. - Tetiana Biloborodova; Inna Skarga-Bandurova (IDAACS, 2023)

An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images. - Bríd Brosnan; Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov (MIE, 2023)

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)