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Exploring the Task-agnostic Trait of Self-supervised Learning in the Context of Detecting Mental Disorders
In the context of the SSL model predicting masked frames, the generated global representations are also noted to exhibit task-agnostic traits.
Analyzing the Effect of Data Impurity on the Detection Performances of Mental Disorders
In this study, we investigate this hypothesis in the context of major depressive disorder (MDD) and post-traumatic stress disorder detection (PTSD).
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