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Yuri G. Gordienko
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2020 – today
- 2024
- [c28]Illia Oholtsov, Yuri G. Gordienko, Mariia Ladonia, Sergii Telenyk, Grzegorz Nowakowski, Sergii G. Stirenko:
Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine. ICCS (2) 2024: 339-353 - 2023
- [c27]Nikita Gordienko, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Andrii Polukhin, Sergii G. Stirenko:
Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*. IEEE Big Data 2023: 2157-2162 - [c26]Andrii Polukhin, Yuri G. Gordienko, Gert Jervan, Sergii G. Stirenko:
Object Detection for Rescue Operations by High-Altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles. IbPRIA 2023: 490-504 - [c25]Roman Statkevych, Yuri G. Gordienko, Sergii G. Stirenko:
Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation. ICAISC (1) 2023: 251-262 - [c24]Andrii Polukhin, Yuri G. Gordienko, Mairo Leier, Gert Jervan, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Edge Intelligence Resource Consumption by UAV-based IR Object Detection. UAVM 2023: 57-61 - 2022
- [c23]Nikita Gordienko, Oleksandr Rokovyi, Yuri G. Gordienko, Sergii G. Stirenko:
Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography. HCI (44) 2022: 453-468 - [c22]Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Context-Aware Data Augmentation for Efficient Object Detection by UAV Surveillance. ISDFS 2022: 1-6 - [c21]Vladyslav Shlianin, Yuri G. Gordienko, Sergii G. Stirenko:
Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks. MoMLeT+DS 2022: 59-75 - [c20]Kostiantyn Kostiukevych, Yuri G. Gordienko, Nikita Gordienko, Oleksandr Rokovyi, Sergii G. Stirenko:
Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface. MoMLeT+DS 2022: 109-122 - 2021
- [j3]Yuri G. Gordienko, Yuriy Kochura, Vlad Taran, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures. Adv. Comput. 122: 303-341 (2021) - [c19]Roman Statkevych, Sergii G. Stirenko, Yuri G. Gordienko:
Human Kidney Tissue Image Segmentation by U-Net Models. EUROCON 2021: 129-134 - [c18]Dmytro Vasylenko, Sergii G. Stirenko, Yuri G. Gordienko:
Improvement of Image Compression Performance by Deep Neural Networks. EUROCON 2021: 135-139 - [c17]Andrii Prasolov, Sergii G. Stirenko, Yuri G. Gordienko:
Improvement of Image Super Resolution by Deep Neural Networks. EUROCON 2021: 140-145 - [c16]Volodymyr Valko, Sergii G. Stirenko, Ihor Babarykin, Yuri G. Gordienko:
Provenance Detection System for Deep Learning Content in Healthcare. EUROCON 2021: 146-151 - [c15]Yevhenii Trochun, Evgen Pavlov, Sergii G. Stirenko, Yuri G. Gordienko:
Impact of Hybrid Neural Network Structure on Performance of Multiclass Classification. EUROCON 2021: 152-156 - [c14]Yevhenii Trochun, Sergii G. Stirenko, Oleksandr Rokovyi, Oleg Alienin, Evgen Pavlov, Yuri G. Gordienko:
Hybrid Classic-Quantum Neural Networks for Image Classification. IDAACS 2021: 968-972 - [c13]Kostiantyn Kostiukevych, Sergii G. Stirenko, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Yuri G. Gordienko:
Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface. IDAACS 2021: 973-978
2010 – 2019
- 2019
- [c12]Peng Gang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases. ICONIP (4) 2019: 333-340 - [c11]Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. SSCI 2019: 557-562 - [i28]Vlad Taran, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. CoRR abs/1901.00001 (2019) - [i27]Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. CoRR abs/1912.09848 (2019) - 2018
- [c10]Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. CompSysTech 2018: 73-80 - [c9]Sergii G. Stirenko, Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko, Ivan Pavliuchenko, Anis Rojbi:
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. ICA3PP (1) 2018: 483-497 - [c8]Peng Gang, Zhen Wang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer. ICACI 2018: 878-883 - [c7]Nikita Gordienko, Peng Gang, Yuri G. Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. ICONIP (5) 2018: 414-424 - [i26]Yuri G. Gordienko, Sergii G. Stirenko, Yuriy Kochura, Oleg Alienin, Michail Novotarskiy, Nikita Gordienko:
Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions. CoRR abs/1801.06048 (2018) - [i25]Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko, Peng Gang, Jiang Hui, Wei Zeng:
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer. CoRR abs/1801.06495 (2018) - [i24]Sergii G. Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Peng Gang, Wei Zeng, Yuri G. Gordienko:
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation. CoRR abs/1803.01199 (2018) - [i23]Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. CoRR abs/1806.01896 (2018) - [i22]Olga Barkova, Natalia Pysarevska, Oleg Alienin, Serhii Hamotskyi, Nikita Gordienko, Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Yuri G. Gordienko, Sergii G. Stirenko:
Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums. CoRR abs/1806.07842 (2018) - [i21]Sergii G. Stirenko, Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko:
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. CoRR abs/1808.04760 (2018) - [i20]Nikita Gordienko, Peng Gang, Yuri G. Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. CoRR abs/1808.10862 (2018) - [i19]Nikita Gordienko, Yuriy Kochura, Vlad Taran, Peng Gang, Yuri G. Gordienko, Sergii G. Stirenko:
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting. CoRR abs/1809.06693 (2018) - [i18]Oleksandr Kovalchuk, Yuri G. Gordienko, Sergii G. Stirenko:
Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time. CoRR abs/1812.03296 (2018) - [i17]Yuriy Kochura, Yuri G. Gordienko, Vlad Taran, Nikita Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases. CoRR abs/1812.11731 (2018) - 2017
- [c6]Yuriy Kochura, Sergii G. Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko:
Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes. CSIT (1) 2017: 373-376 - [c5]Serhii Hamotskyi, Anis Rojbi, Sergii G. Stirenko, Yuri G. Gordienko:
Automatized Generation of Alphabets of Symbols. FedCSIS 2017: 639-642 - [c4]Yuri G. Gordienko, Sergii G. Stirenko, Oleg Alienin, Karolj Skala, Zorislav Sojat, Anis Rojbi, Jorge R. López Benito, E. Artetxe González, U. Lushchyk, Luka Sajn, A. Llorente Coto, Gert Jervan:
Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the basis of Cloud-Fog-Dew computing paradigm. MIPRO 2017: 359-364 - [i16]Yuri G. Gordienko, Sergii G. Stirenko, Oleg Alienin, Karolj Skala, Zorislav Soyat, Anis Rojbi, Jorge R. López Benito, E. Artetxe González, U. Lushchyk, Luka Sajn, A. Llorente Coto, Gert Jervan:
Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the Basis of Cloud-Fog-Dew Computing Paradigm. CoRR abs/1704.04988 (2017) - [i15]Sergii G. Stirenko, Yuri G. Gordienko, T. Shemsedinov, Oleg Alienin, Yuriy Kochura, Nikita Gordienko, Anis Rojbi, Jorge R. López Benito, E. Artetxe González:
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities. CoRR abs/1704.05915 (2017) - [i14]Yuriy Kochura, Sergii G. Stirenko, Anis Rojbi, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko:
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes. CoRR abs/1706.02248 (2017) - [i13]Serhii Hamotskyi, Anis Rojbi, Sergii G. Stirenko, Yuri G. Gordienko:
Automatized Generation of Alphabets of Symbols. CoRR abs/1707.04935 (2017) - [i12]Vladyslav Taran, Oleg Alienin, Sergii G. Stirenko, Anis Rojbi, Yuri G. Gordienko:
Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks. CoRR abs/1707.04939 (2017) - [i11]Yuriy Kochura, Sergii G. Stirenko, Yuri G. Gordienko:
Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions. CoRR abs/1707.04940 (2017) - [i10]Yuriy Kochura, Sergii G. Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko:
Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes. CoRR abs/1708.08670 (2017) - [i9]Vladyslav Sarnatskyi, Vadym Ovcharenko, Mariia Tkachenko, Sergii G. Stirenko, Yuri G. Gordienko, Anis Rojbi:
Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation. CoRR abs/1712.03228 (2017) - [i8]Serhii Hamotskyi, Sergii G. Stirenko, Yuri G. Gordienko, Anis Rojbi:
Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications. CoRR abs/1712.04314 (2017) - [i7]Yuri G. Gordienko, Peng Gang, Jiang Hui, Wei Zeng, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer. CoRR abs/1712.07632 (2017) - 2015
- [j2]Yuri G. Gordienko, Lev Bekenov, Olexandra Baskova, Olexander Gatsenko, Elena Zasimchuk, Sergii G. Stirenko:
IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in e-Science and Multiscale Courses in e-Learning. Concurr. Comput. Pract. Exp. 27(16): 4451-4464 (2015) - [c3]Yuri G. Gordienko, Sergii G. Stirenko, Olexander Gatsenko, Lev Bekenov:
Science gateway for distributed multiscale course management in e-Science and e-Learning - Use case for study and investigation of functionalized nanomaterials. MIPRO 2015: 178-183 - [c2]Nikita Gordienko, Oleg Lodygensky, Gilles Fedak, Yuri G. Gordienko:
Synergy of volunteer measurements and volunteer computing for effective data collecting, processing, simulating and analyzing on a worldwide scale. MIPRO 2015: 193-198 - [i6]Yuri G. Gordienko, Sergii G. Stirenko, Olexander Gatsenko, Lev Bekenov:
Science Gateway for Distributed Multiscale Course Management in e-Science and e-Learning - Use Case for Study and Investigation of Functionalized Nanomaterials. CoRR abs/1504.00802 (2015) - [i5]Nikita Gordienko, Oleg Lodygensky, Gilles Fedak, Yuri G. Gordienko:
Synergy of Volunteer Measurements and Volunteer Computing for Effective Data Collecting, Processing, Simulating and Analyzing on a Worldwide Scale. CoRR abs/1504.00806 (2015) - 2014
- [c1]Yuri G. Gordienko, Lev Bekenev, Olexandra Baskova, Olexander Gatsenko, Elena Zasimchuk, Sergii G. Stirenko:
IMP Science Gateway: From the Portal to the Hub of Virtual Experimental Labs in Materials Science. IWSG 2014: 61-66 - [i4]Yuri G. Gordienko, Lev Bekenov, Olexander Gatsenko, Elena Zasimchuk, Valentin Tatarenko:
Complex Workflow Management and Integration of Distributed Computing Resources by Science Gateway Portal for Molecular Dynamics Simulations in Materials Science. CoRR abs/1404.5458 (2014) - [i3]Yuri G. Gordienko, Lev Bekenev, Olexandra Baskova, Olexander Gatsenko, Elena Zasimchuk, Sergii G. Stirenko:
IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in Materials Science. CoRR abs/1404.5611 (2014) - [i2]Olexander Gatsenko, Lev Bekenev, Evgen Pavlov, Yuri G. Gordienko:
From Quantity to Quality: Massive Molecular Dynamics Simulation of Nanostructures under Plastic Deformation in Desktop and Service Grid Distributed Computing Infrastructure. CoRR abs/1404.5764 (2014) - [i1]Yuri G. Gordienko:
Migration-Driven Hierarchical Crystal Defect Aggregation - Symmetry and Scaling Analysis. CoRR abs/1404.7646 (2014) - 2013
- [j1]Olexander Gatsenko, Lev Bekenev, Evgen Pavlov, Yuri G. Gordienko:
From Quantity To Quality: Massive Molecular Dynamics Simulation of Nanostructures under Plastic Deformation in Desktop and Service Grid Distributed Computing Infrastructure. Comput. Sci. 14(1): 27-44 (2013)
Coauthor Index
aka: Alexandr Rokovyi
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