Cross-session Classification of Mental Workload Levels using Recurrent Neural Networks
Author:
Affiliation:
1. Neural Engineering Lab, IIT Guwahati,Department of Bioscience and Bioengineering,Guwahati,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10022049/10022014/10022261.pdf?arnumber=10022261
Reference41 articles.
1. Data augmentation for deep-learning-based electroencephalography
2. Deep learning for electroencephalogram (EEG) classification tasks: a review
3. Approximation of dynamical time-variant systems by continuous-time recurrent neural networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Low to High Dimensional Projection of Seizure Electroencephalography Using Recurrent Neural Network;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14
2. Attention based 1D-CNN for Mental Workload Classification using EEG;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05
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