A Group Decision Support Technique for Critical IT Infrastructures. - Inna Skarga-Bandurova; Maxim Nesterov; Yan Kovalenko (DepCoS-RELCOMEX, 2015)

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

IoT-based situation awareness support system for real-time emergency management. - Yana Krytska; Inna Skarga-Bandurova; Artem Velykzhanin (IDAACS, 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)

The Information Service for Delivering Arrival Public Transport Prediction. - Inna Skarga-Bandurova; Marina Derkach; Igor Kotsiuba (IDAACS-SWS, 2018)

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

Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks. - Igor Kotsiuba; Inna Skarga-Bandurova; Alkiviadis Giannakoulias; Oksana Bulda (IEEE BigData, 2019)

Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure. - Igor Kotsiuba; Inna Skarga-Bandurova; Alkiviadis Giannakoulias; Mykhailo Chaikin; Aleksandar Jevremovic (IEEE BigData, 2019)

Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots. - Yehor Boltov; Inna Skarga-Bandurova; Igor Kotsiuba; Mykhailo Hrushka; Gennady Krivoulya; Rostyslav Siriak (DESSERT, 2019)

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

Cross-Site Scripting for Graphic Data: Vulnerabilities and Prevention. - Dmytro Zubarev; Inna Skarga-Bandurova (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)

An Intelligent Functional Diagnostics of Wireless Sensor Network. - Gennady Krivoulya; Inna Skarga-Bandurova; Zakhar Tatarchenko; Olena Seredina; Maryna Shcherbakova; Eugene Shcherbakov (FiCloud Workshops, 2019)

Towards Development IoT-Based Water Quality Monitoring System. - Inna Skarga-Bandurova; Yana Krytska; Mikhail Shorokhov; Oleksandr Suvorin; Lina Barbaruk; Maryna Ozheredova (FiCloud Workshops, 2019)

Parking Guide Service for Large Urban Areas. - Marina Derkach; Vladislav Lysak; Inna Skarga-Bandurova; Igor Kotsiuba (IDAACS, 2019)

Deep Convolutional Network with Long Short-Term Memory Layers for Dynamic Gesture Recognition. - Rostyslav Siriak; Inna Skarga-Bandurova; Yehor Boltov (IDAACS, 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)

Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors. - Maryna Derkach; Danylo Matiuk; Inna Skarga-Bandurova (DESSERT, 2020)

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)

Evaluating the Effectiveness of Electrocardiological Study Using Cardiological Decision Support Systems. - Anna E. Filatova; Inna Skarga-Bandurova; Eugene Brezhniev; Mohamad Fahs (ICST, 2020)

Application of a Multiplicative Model with Linear Partial Descriptions in Self-organization Methods. - Anatoliy Povoroznyuk; Oksana Povoroznyuk; Inna Skarga-Bandurova (ICST, 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)

ESAD: Endoscopic Surgeon Action Detection Dataset. - Vivek Singh Bawa; Gurkirt Singh; Francis Kaping'a; Inna Skarga-Bandurova; Alice Leporini; Carmela Landolfo; Armando Stabile; Francesco Setti; Riccardo Muradore; Elettra Oleari; Fabio Cuzzolin (CoRR, 2020)

Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT. - Inna Skarga-Bandurova; Yana Krytska; Artem Velykzhanin; Lina Barbaruk; Oleksandr Suvorin; Mikhail Shorokhov (Complex Syst. Informatics Model. Q., 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)

A Load Factor and its Impact on the Performance of a Multicore System with Shared Memory. - Dmytro Nedzelky; Maryna Derkach; Inna Skarga-Bandurova; Larisa Shumova; Svitlana Safonova; Volodymyr Kardashuk (IDAACS, 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)

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. - Vivek Singh Bawa; Gurkirt Singh; Francis Kaping'a; Inna Skarga-Bandurova; Elettra Oleari; Alice Leporini; Carmela Landolfo; Pengfei Zhao; Xi Xiang; Gongning Luo; Kuanquan Wang; Liangzhi Li 001; et al. (CoRR, 2021)

Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios. - Inna Skarga-Bandurova; Igor Kotsiuba; Erkuden Rios Velasco (Frontiers Comput. Sci., 2021)

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

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

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

Analysis of the effectiveness of means to achieve optimal color balancing in obtaining a digital photographic image. - Bohdan Kovalskyi; Myroslava Dubnevych; Tetyana Holubnyk; Inna Skarga-Bandurova; Ludmyla Maik; Zoryana Selmenska (IntelITSIS, 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)

A Bresenham-based Global Path Planning Algorithm on Grid Maps. - Artem Velikzhanin; Inna Skarga-Bandurova (DESSERT, 2023)

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)

A Comparative Analysis of Deep Learning-Based Object Detectors for Embedded Systems. - Yehor Boltov; Inna Skarga-Bandurova; Maryna Derkach (IDAACS, 2023)

Correlating Roughness and Implantation Characteristics in Steel: A Computer Modelling Study. - Vitalii Honcharov; Oleksandr Chornyi; Inna Skarga-Bandurova; Valery Zazhigalov (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)

LLM services in the management of social communications. - Yuriy Dyachenko; Oleksandra Humenna; Oleg Soloviov; Inna Skarga-Bandurova; Nayden Nenkov (Frontiers Artif. Intell., 2025)

AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application. - Dinesh Jackson Samuel; Inna Skarga-Bandurova; David Sikolia; Muhammad Awais (CoRR, 2025)