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Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data
16 references·1 citing·46 second hop
Multimodal Sensing for Depression Risk Detection: Integrating Audio, Video, and Text Data (2024)Multimodal Sensing for Depression Risk De…CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation (2022)CubeMLP: An MLP-based Model f…Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model (2022)Automatic Depression Detectio…A textual-based featuring approach for depression detection using machine learning classifiers and social media texts (2021)A textual-based featuring app…Automatic depression recognition using CNN with attention mechanism from videos (2020)Automatic depression recognit…Multimodal Measurement of Depression Using Deep Learning Models (2017)Multimodal Measurement of Dep…Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding (2017)Dynamic Multimodal Measuremen…Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics (2017)Automated Depression Diagnosi…Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions (2017)Artificial Intelligent System…A review of depression and suicide risk assessment using speech analysis (2015)A review of depression and su…The Distress Analysis Interview Corpus of human and computer interviews (2014)The Distress Analysis Intervi…Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses (2013)Nonverbal social withdrawal i…AVEC 2013 (2013)AVEC 2013Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech (2007)Critical Analysis of the Impa…Voice acoustical measurement of the severity of major depression (2004)Voice acoustical measurement …Language use of depressed and depression-vulnerable college students (2004)Language use of depressed and…Social skills deficits associated with depression (2000)Social skills deficits associ…From Tool to Agent: A Semi-Systematic Review of Human–AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health (2026)From Tool to Agent: A Semi-Sy…A RATING SCALE FOR DEPRESSION (1960)Detecting Depression using Vocal, Facial and Semantic Communication Cues (2016)Flexible voices: Identity perception from variable vocal signals (2018)Development of a Rating Scale for Primary Depressive Illness (1967)Comparison of Beck Depression Inventories-IA and-II in Psychiatric Outpatients (1996)Affective Computing (1997)AVEC 2014 (2014)AVEC 2016 (2016)EEG Based Emotion Recognition: A Tutorial and Review (2022)Toward an Interactional Description of Depression (1976)Judgment of contingency in depressed and nondepressed students: Sadder but wiser? 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(2003)SimSensei kiosk: a virtual human interviewer for healthcare decision support (2014)The Epidemiology of Major Depressive Disorder (2003)Automated depression analysis using convolutional neural networks from speech (2018)Experiments in induction (1966)Experiments in Induction (1967)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)A systematic review on automated clinical depression diagnosis (2023)IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things (2023)Linguistic Markers of Psychological Change Surrounding September 11, 2001 (2004)Gender Differences in Language Use: An Analysis of 14,000 Text Samples (2008)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)
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References

  • 2004Language use of depressed and depression-vulnerable college students1,018 cited
  • 2015A review of depression and suicide risk assessment using speech analysis1,007 cited
  • 2000Social skills deficits associated with depression591 cited
  • 2014The Distress Analysis Interview Corpus of human and computer interviews591 cited
  • 2013AVEC 2013584 cited
  • 2017Automated Depression Diagnosis Based on Deep Networks to Encode Facial Appearance and Dynamics260 cited
  • 2013Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses255 cited
  • 2004Voice acoustical measurement of the severity of major depression234 cited
  • 2021A textual-based featuring approach for depression detection using machine learning classifiers and social media texts231 cited
  • 2007Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech220 cited
  • 2017Artificial Intelligent System for Automatic Depression Level Analysis Through Visual and Vocal Expressions219 cited
  • 2022Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model201 cited
  • 2017Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding193 cited
  • 2020Automatic depression recognition using CNN with attention mechanism from videos

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179 cited
  • 2017Multimodal Measurement of Depression Using Deep Learning Models175 cited
  • 2022CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation174 cited
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    • 2026From Tool to Agent: A Semi-Systematic Review of Human–AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health3 cited