N. Gordienko

发表

EVALUTION OF BIOCHEMICAL MARKERS OF OVARIAN RESERVE IN WOMEN WITH ENDOMETRIOSIS-ASSOCIATED INFERTILITY

V. Knysh, T. Klinyshkova, O. N. Perfilieva, 2013 .

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities pdf

Yuri Gordienko, Yuriy Kochura, Nikita Gordienko, 2017, Advances in Intelligent Systems and Computing.

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images

Yuriy Kochura, Vlad Taran, Nikita Gordienko, 2018, CompSysTech.

Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases pdf

Yuri Gordienko, Yuriy Kochura, Vlad Taran, 2018, Advances in Computer Science for Engineering and Education II.

Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums pdf

Yuri Gordienko, Nikita Gordienko, Oleg Alienin, 2018, ArXiv.

Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface

S. Stirenko, Y. Gordienko, Oleksandr Rokovyi, 2022, MoMLeT+DS.

Deep Learning with Noise Data Augmentation and Detrended Fluctuation Analysis for Physical Action Classification by Brain-Computer Interface

Yuri G. Gordienko, S. Stirenko, O. Alienin, 2021, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI).

Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface

Nikita Gordienko, Oleg Alienin, Oleksandr Rokovyi, 2021, 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).

Deep Learning for Grasp-and-Lift Movement Forecasting Based on Electroencephalography by Brain-Computer Interface

Yuri Gordienko, Nikita Gordienko, Oleg Alienin, 2021, Advances in Artificial Systems for Logistics Engineering.

Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures

Yuriy Kochura, Vlad Taran, Nikita Gordienko, 2021, Adv. Comput..

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting pdf

Peng Gang, Yuri Gordienko, Yuriy Kochura, 2018, ArXiv.

Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti pdf

Wei Zeng, Peng Gang, Yuri Gordienko, 2018, ICONIP.

Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions pdf

Yuri Gordienko, Yuriy Kochura, Nikita Gordienko, 2017, ArXiv.

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load

Peng Gang, Wei Zeng, Nikita Gordienko, 2018, ICA3PP.

Scaling Analysis of Specialized Tensor Processing Architectures for Deep Learning Models

Yuriy Kochura, Vlad Taran, Nikita Gordienko, 2019, Deep Learning: Concepts and Architectures.