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Tetiana Biloborodova

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2020 – today

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2024
[c20]
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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
[c19]
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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
[c18]
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Bríd Brosnan, Inna Skarga-Bandurova, Tetiana Biloborodova, Illia Skarha-Bandurov:
Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images. ICIMTH 2023: 402-405
[c17]
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Tetiana Biloborodova, Inna Skarga-Bandurova:
Human-AI Collaboration in Decision Making: An Initial Reliability Study and Methodology. IDAACS 2023: 1151-1155
[c16]
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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
[c15]
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Inna Skarga-Bandurova, Igor Kotsiuba, Tetiana Biloborodova:
Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations. IEEE Big Data 2022: 3099-3106
[c14]
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Tetiana Biloborodova, Semen Lomakin, Inna Skarga-Bandurova, Yana Krytska:
Region of Interest Identification in the Cervical Digital Histology Images. EPIA 2022: 133-145
[c13]
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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
[c12]
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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
[c11]
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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
[c10]
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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
2020
[c9]
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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
[c8]
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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

2010 – 2019

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2019
[j1]
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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)
[c7]
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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
[c6]
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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
[c5]
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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
2018
[c4]
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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
[c3]
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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
[c2]
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Inna Skarga-Bandurova, Tetiana Biloborodova, Yuriy Dyachenko:
Strategy to Managing Mixed Datasets with Missing Items. IPMU (2) 2018: 608-620
2017
[c1]
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Inna Skarga-Bandurova, Tetiana Biloborodova, Maksym Nesterov:
Discovering Interesting Associations in Gestation Course Data. EPIA 2017: 204-214

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