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MLM-EOE: Automatic Depression Detection via Sentimental Annotation and Multi-Expert Ensemble
16 references·0 citing·47 second hop
MLM-EOE: Automatic Depression Detection via Sentimental Annotation and Multi-Expert Ensemble (2025)MLM-EOE: Automatic Depression Detection v…Deep learning for depression recognition with audiovisual cues: A review (2021)Deep learning for depression …Spectral Representation of Behaviour Primitives for Depression Analysis (2020)Spectral Representation of Be…Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)Multimodal Spatiotemporal Rep…Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection (2019)Multimodal Fusion of BERT-CNN…AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)AVEC 2019 Workshop and Challe…Visually Interpretable Representation Learning for Depression Recognition from Facial Images (2018)Visually Interpretable Repres…A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)A Brief Review of Facial Emot…AVEC 2017 (2017)AVEC 2017Examining emotion regulation in depression: A review and future directions (2016)Examining emotion regulation …AVEC 2014 (2014)AVEC 2014Depression recognition based on dynamic facial and vocal expression features using partial least square regression (2013)Depression recognition based …AVEC 2013 (2013)AVEC 2013Mood and Emotion in Major Depression (2005)Mood and Emotion in Major Dep…Affective Computing (1997)Affective ComputingSelf-Mutilation and Suicidal Behavior in Borderline Personality Disorder (1994)Self-Mutilation and Suicidal …A circumplex model of affect. 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References

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  • 2018A Brief Review of Facial Emotion Recognition Based on Visual Information726 cited
  • 2013AVEC 2013584 cited
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  • 2019AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition407 cited
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  • 2018Visually Interpretable Representation Learning for Depression Recognition from Facial Images273 cited
  • 2021Deep learning for depression recognition with audiovisual cues: A review256 cited
  • 2013Depression recognition based on dynamic facial and vocal expression features using partial least square regression224 cited
  • 2020Multimodal Spatiotemporal Representation for Automatic Depression Level Detection172 cited
  • 2019Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection150 cited
  • 2020Spectral Representation of Behaviour Primitives for Depression Analysis149 cited

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  • 1994Self-Mutilation and Suicidal Behavior in Borderline Personality Disorder143 cited
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