A multitask deep learning model using autoencoders for personalized stress prediction from mobile sensors reports 45.6% higher F1 score than prior work on the StudentLife dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Personalized Student Stress Prediction with Deep Multitask Network
A multitask deep learning model using autoencoders for personalized stress prediction from mobile sensors reports 45.6% higher F1 score than prior work on the StudentLife dataset.