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

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Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes., , , , , and . CoRR, (2017)Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions., , , , , and . CoRR, (2018)Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions., , and . CoRR, (2017)Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes., , , , and . CSIT (1), page 373-376. IEEE, (2017)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)Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer., , , , , , , and . CoRR, (2018)Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes., , , , and . CoRR, (2017)Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases., , , , , , and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 333-340. Springer, (2019)Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer., , , , , , , and . ICACI, page 878-883. IEEE, (2018)