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Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer.

, , , и . IJCNN, стр. 1-8. IEEE, (2023)

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Zijian Bai

Zijian Wang

Xinrong Guo

Jiong Guo

Guo Cheng

 

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Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer., , , и . IJCNN, стр. 1-8. IEEE, (2023)An enhanced fault detection method for railway turnouts incorporating prior faulty information., , , и . ITSC, стр. 1-6. IEEE, (2020)Video-Based Emotion Recognition in the Wild for Online Education Systems., , , , и . PRICAI (3), том 13631 из Lecture Notes in Computer Science, стр. 516-529. Springer, (2022)A data imputation method for multivariate time series based on generative adversarial network., , и . Neurocomputing, (2019)Research on safety and efficiency warranted vessel scheduling in unidirectional multi-junction waterways of port waters., , , , и . Comput. Ind. Eng., (июня 2023)Adaptive diagnosis of DC motors using R-WDCNN classifiers based on VMD-SVD., , , , и . Appl. Intell., 51 (7): 4888-4907 (2021)Mechanical Fault Diagnosis of a DC Motor Utilizing United Variational Mode Decomposition, SampEn, and Random Forest-SPRINT Algorithm Classifiers., , , и . Entropy, 21 (5): 470 (2019)Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 21586-21610. PMLR, (2023)Constrained Decision Transformer for Offline Safe Reinforcement Learning., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 21611-21630. PMLR, (2023)On the Robustness of Safe Reinforcement Learning under Observational Perturbations., , , , , , и . ICLR, OpenReview.net, (2023)