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GitHub2y
Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling
Official implementation of our 2022 IEEE LA-CCI paper Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling. - lmlima/2022-IEEE-LA-CCI-Student-Dropout. Skip to content ...
GitHub3mon
liel2544/Activity-Recognition-Deep-Learning - GitHub
Includes 1D-CNN, LSTM, and autoencoder pretraining, with improved models using bidirectional LSTM, dropout, batch norm, and adaptive pooling. - liel2544/Activity-Recognition-Deep-Learning Deep ...
IEEE5y
Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks
In this work, we propose an unsupervised variational video hashing (UVVH) method for scalable video retrieval. Our UVVH method aims to capture the salient and global information in a video.