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

S. Stirenko, Y. Gordienko, T. Shemsedinov, O. Alienin, Y. Kochura, N. Gordienko, A. Rojbi, J. Benito, and E. González. CoRR, (2017)

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Michael Gordienko

Liubov Gordienko

Nikita Tregubov

Nikita Tkatchenko

Nikita Vladimirov

Other publications of authors with the same name

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images.V. Taran, N. Gordienko, Y. Kochura, Y. Gordienko, O. Rokovyi, O. Alienin, and S. Stirenko. CoRR, (2018)Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions.Y. Gordienko, S. Stirenko, Y. Kochura, O. Alienin, M. Novotarskiy, and N. Gordienko. CoRR, (2018)Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography.N. Gordienko, O. Rokovyi, Y. Gordienko, and S. Stirenko. HCI (44), volume 13519 of Lecture Notes in Computer Science, page 453-468. Springer, (2022)Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures.Y. Gordienko, Y. Kochura, V. Taran, N. Gordienko, O. Rokovyi, O. Alienin, and S. Stirenko. Adv. Comput., (2021)Parallel Statistical and Machine Learning Methods for Estimation of Physical Load.S. Stirenko, P. Gang, W. Zeng, Y. Gordienko, O. Alienin, O. Rokovyi, and N. Gordienko. CoRR, (2018)Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting.N. Gordienko, Y. Kochura, V. Taran, P. Gang, Y. Gordienko, and S. Stirenko. CoRR, (2018)Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface.K. Kostiukevych, S. Stirenko, N. Gordienko, O. Rokovyi, O. Alienin, and Y. Gordienko. IDAACS, page 973-978. IEEE, (2021)Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums.O. Barkova, N. Pysarevska, O. Alienin, S. Hamotskyi, N. Gordienko, V. Sarnatskyi, V. Ovcharenko, M. Tkachenko, Y. Gordienko, and S. Stirenko. CoRR, (2018)Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*.N. Gordienko, Y. Gordienko, O. Rokovyi, O. Alienin, A. Polukhin, and S. Stirenko. IEEE Big Data, page 2157-2162. IEEE, (2023)Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases.Y. Kochura, Y. Gordienko, V. Taran, N. Gordienko, A. Rokovyi, O. Alienin, and S. Stirenko. CoRR, (2018)

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Disambiguation of "Gordienko, Nikita"

Please choose a person to relate this publication to

Michael Gordienko

Liubov Gordienko

Nikita Tregubov

Nikita Tkatchenko

Nikita Vladimirov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gordienko, Nikita"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities.

Please choose a person to relate this publication to

Michael Gordienko

Liubov Gordienko

Nikita Tregubov

Nikita Tkatchenko

Nikita Vladimirov

Other publications of authors with the same name

Disambiguation