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ORCIDInna Skarga-Bandurova
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2020 – today
- 2024
[c40]Tetiana Biloborodova
, Inna Skarga-Bandurova, Maryna Derkach, Danylo Matiuk, Nataliya Zagorodna:
Identification of Salient Brain Regions for Anxiety Disorders Using Nonlinear EEG Feature Analysis. EFMI-STC 2024: 180-184- 2023
- [c39]Artem Velikzhanin, Inna Skarga-Bandurova:
A Bresenham-based Global Path Planning Algorithm on Grid Maps. DESSERT 2023: 1-8 - [c38]Tetiana Biloborodova, Bríd Brosnan, Inna Skarga-Bandurova, Daniel J. Strauss:
Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning. EPIA (2) 2023: 234-246 - [c37]Bríd Brosnan, Inna Skarga-Bandurova, Tetiana Biloborodova, Illia Skarha-Bandurov:
Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images. ICIMTH 2023: 402-405 - [c36]Tetiana Biloborodova, Inna Skarga-Bandurova:
Human-AI Collaboration in Decision Making: An Initial Reliability Study and Methodology. IDAACS 2023: 1151-1155 - [c35]Yehor Boltov, Inna Skarga-Bandurova, Maryna Derkach:
A Comparative Analysis of Deep Learning-Based Object Detectors for Embedded Systems. IDAACS 2023: 1156-1160 - [c34]Vitalii Honcharov, Oleksandr Chornyi, Inna Skarga-Bandurova, Valery Zazhigalov:
Correlating Roughness and Implantation Characteristics in Steel: A Computer Modelling Study. IDAACS 2023: 1161-1165 - [c33]Bríd Brosnan, Inna Skarga-Bandurova, Tetiana Biloborodova, Illia Skarha-Bandurov:
An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images. MIE 2023: 615-616 - 2022
- [c32]Inna Skarga-Bandurova, Igor Kotsiuba, Tetiana Biloborodova:
Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations. IEEE Big Data 2022: 3099-3106 - [c31]Maryna Derkach, Inna Skarga-Bandurova, Danylo Matiuk, Natalia Zagorodna:
Autonomous Quadrotor Flight Stabilisation Based on a Complementary Filter and a PID Controller. DESSERT 2022: 1-7 - [c30]Tetiana Biloborodova, Semen Lomakin, Inna Skarga-Bandurova, Yana Krytska:
Region of Interest Identification in the Cervical Digital Histology Images. EPIA 2022: 133-145 - [c29]Bohdan Kovalskyi, Myroslava Dubnevych, Tetyana Holubnyk, Inna Skarga-Bandurova, Ludmyla Maik, Zoryana Selmenska:
Analysis of the effectiveness of means to achieve optimal color balancing in obtaining a digital photographic image. IntelITSIS 2022: 520-538 - [c28]Tetiana Biloborodova, Inna Skarga-Bandurova, Illia Skarha-Bandurov, Yelyzaveta Yevsieieva, Oleh Biloborodov:
ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network. MIE 2022: 18-22 - 2021
- [j3]Inna Skarga-Bandurova, Igor Kotsiuba, Erkuden Rios Velasco:
Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios. Frontiers Comput. Sci. 3: 614337 (2021) - [c27]Tetiana Biloborodova, Inna Skarga-Bandurova, Mark Koverha, Illia Skarha-Bandurov, Yelyzaveta Yevsieieva:
A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets. EFMI-STC 2021: 13-17 - [c26]Dmytro Nedzelky, Maryna Derkach, Inna Skarga-Bandurova, Larisa Shumova, Svitlana Safonova, Volodymyr Kardashuk:
A Load Factor and its Impact on the Performance of a Multicore System with Shared Memory. IDAACS 2021: 499-503 - [c25]Tetiana Biloborodova, Inna Skarga-Bandurova, Igor Kotsiuba, Illia Skarha-Bandurov:
Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone. MIE 2021: 839-844 - [c24]Inna Skarga-Bandurova, Tetiana Biloborodova, Illia Skarha-Bandurov, Yehor Boltov, Maryna Derkach:
A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection. pHealth 2021: 147-152 - [i2]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, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin:
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. CoRR abs/2104.03178 (2021) - 2020
- [j2]Inna Skarga-Bandurova, Yana Krytska, Artem Velykzhanin, Lina Barbaruk, Oleksandr Suvorin, Mikhail Shorokhov:
Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT. Complex Syst. Informatics Model. Q. 24: 1-14 (2020) - [c23]Maryna Derkach, Danylo Matiuk, Inna Skarga-Bandurova:
Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors. DESSERT 2020: 236-241 - [c22]Tetiana Biloborodova, Inna Skarga-Bandurova, Oleksandr Berezhnyi, Maksym Nesterov, Illia Skarha-Bandurov:
Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson's Disease. ICITS 2020: 626-636 - [c21]Anatoliy Povoroznyuk, Oksana Povoroznyuk, Inna Skarga-Bandurova:
Application of a Multiplicative Model with Linear Partial Descriptions in Self-organization Methods. ICST 2020: 31-42 - [c20]Anna E. Filatova, Inna Skarga-Bandurova, Eugene Brezhniev, Mohamad Fahs:
Evaluating the Effectiveness of Electrocardiological Study Using Cardiological Decision Support Systems. ICST 2020: 294-308 - [c19]Inna Skarga-Bandurova, Rostyslav Siriak, Tetiana Biloborodova, Fabio Cuzzolin, Vivek Singh Bawa, Mohamed Ibrahim Mohamed, R. Dinesh Jackson Samuel:
Surgical Hand Gesture Prediction for the Operating Room. pHealth 2020: 97-103 - [i1]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:
ESAD: Endoscopic Surgeon Action Detection Dataset. CoRR abs/2006.07164 (2020)
2010 – 2019
- 2019
- [j1]Inna Skarga-Bandurova, Tetiana Biloborodova, Maksym Nesterov:
Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia. J. Medical Syst. 43(1): 8:1-8:10 (2019) - [c18]Igor Kotsiuba, Inna Skarga-Bandurova, Alkiviadis Giannakoulias, Oksana Bulda:
Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks. IEEE BigData 2019: 4255-4264 - [c17]Igor Kotsiuba, Inna Skarga-Bandurova, Alkiviadis Giannakoulias, Mykhailo Chaikin, Aleksandar Jevremovic:
Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure. IEEE BigData 2019: 4265-4272 - [c16]Inna Skarga-Bandurova, Maksym Nesterov, Tetiana Biloborodova, Gennady Krivoulya, Igor Kotsiuba, Oleg Biloborodov:
Data Fusion Technique to Predicting Database Performance Issues. DESSERT 2019: 74-81 - [c15]Dmytro Zubarev, Inna Skarga-Bandurova:
Cross-Site Scripting for Graphic Data: Vulnerabilities and Prevention. DESSERT 2019: 154-160 - [c14]Yehor Boltov, Inna Skarga-Bandurova, Igor Kotsiuba, Mykhailo Hrushka, Gennady Krivoulya, Rostyslav Siriak:
Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots. DESSERT 2019: 218-222 - [c13]Inna Skarga-Bandurova, Tetiana Biloborodova, Illia Skarha-Bandurov, Natalia Zagorodna, Larisa Shumova:
EEG Data Fusion for Improving Accuracy of Binary Classification. EFMI-STC 2019: 130-134 - [c12]Gennady Krivoulya, Inna Skarga-Bandurova, Zakhar Tatarchenko, Olena Seredina, Maryna Shcherbakova, Eugene Shcherbakov:
An Intelligent Functional Diagnostics of Wireless Sensor Network. FiCloud Workshops 2019: 135-139 - [c11]Inna Skarga-Bandurova, Yana Krytska, Mikhail Shorokhov, Oleksandr Suvorin, Lina Barbaruk, Maryna Ozheredova:
Towards Development IoT-Based Water Quality Monitoring System. FiCloud Workshops 2019: 140-145 - [c10]Tetiana Biloborodova, Inna Skarga-Bandurova, Viktoriia Derevianchenko, Illia Skarha-Bandurov, Halyna Tatarchenko, Victoria Mokhonko:
A Personal Mobile Sensing System for Motor Symptoms Assessment of Parkinson's Disease. FiCloud Workshops 2019: 146-151 - [c9]Rostyslav Siriak, Inna Skarga-Bandurova, Yehor Boltov:
Deep Convolutional Network with Long Short-Term Memory Layers for Dynamic Gesture Recognition. IDAACS 2019: 158-162 - [c8]Marina Derkach, Vladislav Lysak, Inna Skarga-Bandurova, Igor Kotsiuba:
Parking Guide Service for Large Urban Areas. IDAACS 2019: 567-571 - 2018
- [c7]Igor Kotsiuba, Maksym Nesterov, Yury Yanovich, Inna Skarga-Bandurova, Tetiana Biloborodova, Viacheslav Zhygulin:
Multi-Database Monitoring Tool for the E-Health Services. IEEE BigData 2018: 2442-2448 - [c6]Igor Kotsiuba, Artem Velykzhanin, Oleg Biloborodov, Inna Skarga-Bandurova, Tetiana Biloborodova, Yury Yanovich, Viacheslav Zhygulin:
Blockchain Evolution: from Bitcoin to Forensic in Smart Grids. IEEE BigData 2018: 3100-3106 - [c5]Inna Skarga-Bandurova, Marina Derkach, Igor Kotsiuba:
The Information Service for Delivering Arrival Public Transport Prediction. IDAACS-SWS 2018: 191-195 - [c4]Inna Skarga-Bandurova, Tetiana Biloborodova, Yuriy Dyachenko:
Strategy to Managing Mixed Datasets with Missing Items. IPMU (2) 2018: 608-620 - 2017
- [c3]Inna Skarga-Bandurova, Tetiana Biloborodova, Maksym Nesterov:
Discovering Interesting Associations in Gestation Course Data. EPIA 2017: 204-214 - [c2]Yana Krytska, Inna Skarga-Bandurova, Artem Velykzhanin:
IoT-based situation awareness support system for real-time emergency management. IDAACS 2017: 955-960 - 2015
- [c1]Inna Skarga-Bandurova, Maxim Nesterov, Yan Kovalenko:
A Group Decision Support Technique for Critical IT Infrastructures. DepCoS-RELCOMEX 2015: 445-454
Coauthor Index
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