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)

Multi-Parametric Statistical Method for Estimation of Accumulated Fatigue by Sensors in Ordinary Gadgets. - Nikita Gordienko (CoRR, 2016)

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 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)

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)

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)

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)

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)

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)

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)

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)

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)