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Detecting Disengagement in Virtual Learning as an Anomaly using Temporal
  Convolutional Network Autoencoder

Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder

13 November 2022
Ali Abedi
Shehroz S. Khan
ArXivPDFHTML

Papers citing "Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder"

3 / 3 papers shown
Title
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure
  Prediction
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
Zakary Georgis-Yap
Milos R. Popovic
Shehroz S. Khan
29
5
0
24 Apr 2023
Bag of States: A Non-sequential Approach to Video-based Engagement
  Measurement
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement
Ali Abedi
Chinchu Thomas
D. Jayagopi
Shehroz S. Khan
19
8
0
17 Jan 2023
Inconsistencies in the Definition and Annotation of Student Engagement
  in Virtual Learning Datasets: A Critical Review
Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review
Shehroz S. Khan
Ali Abedi
T. Colella
18
1
0
09 Aug 2022
1