From Quantity To Quality: Massive Molecular Dynamics Simulation of Nanostructures under Plastic Deformation in Desktop and Service Grid Distributed Computing Infrastructure. - Olexander Gatsenko; Lev Bekenev; Evgen Pavlov; Yuri G. Gordienko (Comput. Sci., 2013)

IMP Science Gateway: From the Portal to the Hub of Virtual Experimental Labs in Materials Science. - Yuri G. Gordienko; Lev Bekenev; Olexandra Baskova; Olexander Gatsenko; Elena Zasimchuk; Sergii G. Stirenko (IWSG, 2014)

Migration-Driven Hierarchical Crystal Defect Aggregation - Symmetry and Scaling Analysis. - Yuri G. Gordienko (CoRR, 2014)

Complex Workflow Management and Integration of Distributed Computing Resources by Science Gateway Portal for Molecular Dynamics Simulations in Materials Science. - Yuri G. Gordienko; Lev Bekenov; Olexander Gatsenko; Elena Zasimchuk; Valentin Tatarenko (CoRR, 2014)

Synergy of volunteer measurements and volunteer computing for effective data collecting, processing, simulating and analyzing on a worldwide scale. - Nikita Gordienko; Oleg Lodygensky; Gilles Fedak; Yuri G. Gordienko (MIPRO, 2015)

Science gateway for distributed multiscale course management in e-Science and e-Learning - Use case for study and investigation of functionalized nanomaterials. - Yuri G. Gordienko; Sergii G. Stirenko; Olexander Gatsenko; Lev Bekenov (MIPRO, 2015)

IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in e-Science and Multiscale Courses in e-Learning. - Yuri G. Gordienko; Lev Bekenov; Olexandra Baskova; Olexander Gatsenko; Elena Zasimchuk; Sergii G. Stirenko (Concurr. Comput. Pract. Exp., 2015)

Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes. - Yuriy Kochura; Sergii G. Stirenko; Oleg Alienin; Michail Novotarskiy; Yuri G. Gordienko (CSIT (1), 2017)

Automatized Generation of Alphabets of Symbols. - Serhii Hamotskyi; Anis Rojbi; Sergii G. Stirenko; Yuri G. Gordienko (FedCSIS, 2017)

Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the basis of Cloud-Fog-Dew computing paradigm. - 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 (MIPRO, 2017)

Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions. - Yuriy Kochura; Sergii G. Stirenko; Yuri G. Gordienko (CoRR, 2017)

Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes. - Yuriy Kochura; Sergii G. Stirenko; Anis Rojbi; Oleg Alienin; Michail Novotarskiy; Yuri G. Gordienko (CoRR, 2017)

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities. - Sergii G. Stirenko; Yuri G. Gordienko; T. Shemsedinov; Oleg Alienin; Yuriy Kochura; Nikita Gordienko; Anis Rojbi; Jorge R. López Benito; E. Artetxe González (CoRR, 2017)

Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks. - Vladyslav Taran; Oleg Alienin; Sergii G. Stirenko; Anis Rojbi; Yuri G. Gordienko (CoRR, 2017)

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes. - Yuriy Kochura; Sergii G. Stirenko; Oleg Alienin; Michail Novotarskiy; Yuri G. Gordienko (CoRR, 2017)

Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation. - Vladyslav Sarnatskyi; Vadym Ovcharenko; Mariia Tkachenko; Sergii G. Stirenko; Yuri G. Gordienko; Anis Rojbi (CoRR, 2017)

Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications. - Serhii Hamotskyi; Sergii G. Stirenko; Yuri G. Gordienko; Anis Rojbi (CoRR, 2017)

Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer. - Yuri G. Gordienko; Peng Gang; Jiang Hui; Wei Zeng 005; Yuriy Kochura; Oleg Alienin; Oleksandr Rokovyi; Sergii G. Stirenko (CoRR, 2017)

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. - Vlad Taran; Nikita Gordienko; Yuriy Kochura; Yuri G. Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CompSysTech, 2018)

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. - Sergii G. Stirenko; Peng Gang; Wei Zeng 005; Yuri G. Gordienko; Oleg Alienin; Oleksandr Rokovyi; Nikita Gordienko; Ivan Pavliuchenko; Anis Rojbi (ICA3PP (1), 2018)

Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer. - Peng Gang; Zhen Wang; Wei Zeng 005; Yuri G. Gordienko; Yuriy Kochura; Oleg Alienin; Oleksandr Rokovyi; Sergii G. Stirenko (ICACI, 2018)

Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. - Nikita Gordienko; Peng Gang; Yuri G. Gordienko; Wei Zeng 005; Oleg Alienin; Oleksandr Rokovyi; Sergii G. Stirenko (ICONIP (5), 2018)

Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions. - Yuri G. Gordienko; Sergii G. Stirenko; Yuriy Kochura; Oleg Alienin; Michail Novotarskiy; Nikita Gordienko (CoRR, 2018)

Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer. - Yuri G. Gordienko; Yuriy Kochura; Oleg Alienin; Oleksandr Rokovyi; Sergii G. Stirenko; Peng Gang; Jiang Hui; Wei Zeng 005 (CoRR, 2018)

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation. - Sergii G. Stirenko; Yuriy Kochura; Oleg Alienin; Oleksandr Rokovyi; Peng Gang; Wei Zeng 005; Yuri G. Gordienko (CoRR, 2018)

Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums. - Olga Barkova; Natalia Pysarevska; Oleg Alienin; Serhii Hamotskyi; Nikita Gordienko; Vladyslav Sarnatskyi; Vadym Ovcharenko; Mariia Tkachenko; Yuri G. Gordienko; Sergii G. Stirenko (CoRR, 2018)

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. - Sergii G. Stirenko; Peng Gang; Wei Zeng 005; Yuri G. Gordienko; Oleg Alienin; Oleksandr Rokovyi; Nikita Gordienko (CoRR, 2018)

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting. - Nikita Gordienko; Yuriy Kochura; Vlad Taran; Peng Gang; Yuri G. Gordienko; Sergii G. Stirenko (CoRR, 2018)

Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time. - Oleksandr Kovalchuk; Yuri G. Gordienko; Sergii G. Stirenko (CoRR, 2018)

Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases. - Yuriy Kochura; Yuri G. Gordienko; Vlad Taran; Nikita Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CoRR, 2018)

Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases. - Peng Gang; Wei Zeng 005; Yuri G. Gordienko; Yuriy Kochura; Oleg Alienin; Oleksandr Rokovyi; Sergii G. Stirenko (ICONIP (4), 2019)

Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. - Peng Gang; Wei Zeng 005; Yuri G. Gordienko; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (SSCI, 2019)

Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. - Vlad Taran; Yuri G. Gordienko; Alexandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (CoRR, 2019)

Improvement of Image Super Resolution by Deep Neural Networks. - Andrii Prasolov; Sergii G. Stirenko; Yuri G. Gordienko (EUROCON, 2021)

Human Kidney Tissue Image Segmentation by U-Net Models. - Roman Statkevych; Sergii G. Stirenko; Yuri G. Gordienko (EUROCON, 2021)

Impact of Hybrid Neural Network Structure on Performance of Multiclass Classification. - Yevhenii Trochun; Evgen Pavlov; Sergii G. Stirenko; Yuri G. Gordienko (EUROCON, 2021)

Provenance Detection System for Deep Learning Content in Healthcare. - Volodymyr Valko; Sergii G. Stirenko; Ihor Babarykin; Yuri G. Gordienko (EUROCON, 2021)

Improvement of Image Compression Performance by Deep Neural Networks. - Dmytro Vasylenko; Sergii G. Stirenko; Yuri G. Gordienko (EUROCON, 2021)

Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface. - Kostiantyn Kostiukevych; Sergii G. Stirenko; Nikita Gordienko; Oleksandr Rokovyi; Oleg Alienin; Yuri G. Gordienko (IDAACS, 2021)

Hybrid Classic-Quantum Neural Networks for Image Classification. - Yevhenii Trochun; Sergii G. Stirenko; Oleksandr Rokovyi; Oleg Alienin; Evgen Pavlov; Yuri G. Gordienko (IDAACS, 2021)

Deep Learning with Noise Data Augmentation and Detrended Fluctuation Analysis for Physical Action Classification by Brain-Computer Interface. - Yuri G. Gordienko; Kostiantyn Kostiukevych; Nikita Gordienko; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (ISCMI, 2021)

Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures. - Yuri G. Gordienko; Yuriy Kochura; Vlad Taran; Nikita Gordienko; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (Adv. Comput., 2021)

Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography. - Nikita Gordienko; Oleksandr Rokovyi; Yuri G. Gordienko; Sergii G. Stirenko (HCI (44), 2022)

Context-Aware Data Augmentation for Efficient Object Detection by UAV Surveillance. - Yuri G. Gordienko; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (ISDFS, 2022)

Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface. - Kostiantyn Kostiukevych; Yuri G. Gordienko; Nikita Gordienko; Oleksandr Rokovyi; Sergii G. Stirenko (MoMLeT+DS, 2022)

Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks. - Vladyslav Shlianin; Yuri G. Gordienko; Sergii G. Stirenko (MoMLeT+DS, 2022)

Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*. - Nikita Gordienko; Yuri G. Gordienko; Oleksandr Rokovyi; Oleg Alienin; Andrii Polukhin; Sergii G. Stirenko (IEEE Big Data, 2023)

Object Detection for Rescue Operations by High-Altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles. - Andrii Polukhin; Yuri G. Gordienko; Gert Jervan; Sergii G. Stirenko (IbPRIA, 2023)

Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation. - Roman Statkevych; Yuri G. Gordienko; Sergii G. Stirenko (ICAISC (1), 2023)

Edge Intelligence Resource Consumption by UAV-based IR Object Detection. - Andrii Polukhin; Yuri G. Gordienko; Mairo Leier; Gert Jervan; Oleksandr Rokovyi; Oleg Alienin; Sergii G. Stirenko (UAVM, 2023)

Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine. - Illia Oholtsov; Yuri G. Gordienko; Mariia Ladonia; Sergii Telenyk; Grzegorz Nowakowski; Sergii G. Stirenko (ICCS (2), 2024)

Effect of natural and synthetic noise data augmentation on physical action classification by brain-computer interface and deep learning. - Yuri G. Gordienko; Nikita Gordienko; Vladyslav Taran; Anis Rojbi; Sergii Telenyk; Sergii G. Stirenko (Frontiers Neuroinformatics, 2025)