MHIM, a masking training method, is applied to attention-based depression detection models, producing modest improvements in accuracy and attention-based explainability on Thai and English datasets.
Datasets To benchmark the performance of our method, we have cho- sen two datasets for benchmarking: the DAIC-WOZ [11] and the Thai-Maywe dataset [10]
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Explainable Depression Detection using Masked Hard Instance Mining
MHIM, a masking training method, is applied to attention-based depression detection models, producing modest improvements in accuracy and attention-based explainability on Thai and English datasets.