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

, , , , , , and . ICONIP (5), volume 11305 of Lecture Notes in Computer Science, page 414-424. Springer, (2018)

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Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface., , , , , and . IDAACS, page 973-978. IEEE, (2021)Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*., , , , , and . IEEE Big Data, page 2157-2162. IEEE, (2023)Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions., , , , , and . CoRR, (2018)Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography., , , and . HCI (44), volume 13519 of Lecture Notes in Computer Science, page 453-468. Springer, (2022)Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti., , , , , , and . ICONIP (5), volume 11305 of Lecture Notes in Computer Science, page 414-424. Springer, (2018)Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images., , , , , , and . CompSysTech, page 73-80. ACM, (2018)User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities., , , , , , , , and . CoRR, (2017)Parallel Statistical and Machine Learning Methods for Estimation of Physical Load., , , , , , , , and . ICA3PP (1), volume 11334 of Lecture Notes in Computer Science, page 483-497. Springer, (2018)Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface., , , , and . MoMLeT+DS, volume 3312 of CEUR Workshop Proceedings, page 109-122. CEUR-WS.org, (2022)