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Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features
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Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features (2019)Classifying Depression Severity in Recove…Detecting Depression Severity by Interpretable Representations of Motion Dynamics (2018)Detecting Depression Severity…Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding (2017)Dynamic Multimodal Measuremen…Automatic Assessment of Depression Based on Visual Cues: A Systematic Review (2017)Automatic Assessment of Depre…EmoNets: Multimodal deep learning approaches for emotion recognition in video (2015)EmoNets: Multimodal deep lear…Automatic nonverbal behavior indicators of depression and PTSD: the effect of gender (2014)Automatic nonverbal behavior …Social risk and depression: Evidence from manual and automatic facial expression analysis (2013)Social risk and depression: E…Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses (2013)Nonverbal social withdrawal i…AVEC 2013 (2013)AVEC 2013Automatic Nonverbal Behavior Indicators of Depression and PTSD: Exploring Gender Differences (2013)Automatic Nonverbal Behavior …Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Joint Optimization and Variable Selection of High-dimensional Gaussian Processes (2012)Joint Optimization and Variab…Detecting depression from facial actions and vocal prosody (2009)Detecting depression from fac…The Epidemiology of Major Depressive Disorder (2003)The Epidemiology of Major Dep…Facial Electromyography in Depression (1986)Facial Electromyography in De…Expression and the Nature of Emotion (1984)Expression and the Nature of …A RATING SCALE FOR DEPRESSION (1960)A RATING SCALE FOR DEPRESSIONCollecting Large, Richly Annotated Facial-Expression Databases from Movies (2012)Recurrent Neural Networks for Emotion Recognition in Video (2015)Automatic Analysis of Facial Actions: A Survey (2017)Extended deep neural network for facial emotion recognition (2019)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)A Coefficient of Agreement for Nominal Scales (1960)Intraclass correlations: Uses in assessing rater reliability. (1979)Diagnostic and Statistical Manual of Mental Disorders (2013)Deep learning for depression recognition with audiovisual cues: A review (2021)A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A Tutorial on Bayesian Optimization (2018)Reliability and validity studies of the WHO-Composite International Diagnostic Interview (CIDI): A critical review (1994)The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression (2003)Combat Duty in Iraq and Afghanistan, Mental Health Problems, and Barriers to Care (2004)Mental health of young people: a global public-health challenge (2007)The PHQ-8 as a measure of current depression in the general population (2008)Diagnostic and Statistical Manual of Mental Disorders (2008)SimSensei kiosk: a virtual human interviewer for healthcare decision support (2014)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Procedures for Performing Systematic Reviews (2004)Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features (2018)Multimodal Spatiotemporal Representation for Automatic Depression Level Detection (2020)MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection (2021)Progress on a cognitive-motivational-relational theory of emotion. (1991)An argument for basic emotions (1992)The Emerging Field of Emotion Regulation: An Integrative Review (1998)The CES-D Scale (1977)Development and validation of a geriatric depression screening scale: A preliminary report (1982)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)Social functioning in major depressive disorder (2016)Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection (2019)Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System (2019)
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References

  • 1960A RATING SCALE FOR DEPRESSION32,812 cited
  • 2003The Epidemiology of Major Depressive Disorder7,981 cited
  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,967 cited
  • 1984Expression and the Nature of Emotion1,062 cited
  • 2013AVEC 2013584 cited
  • 2009Detecting depression from facial actions and vocal prosody494 cited
  • 2015EmoNets: Multimodal deep learning approaches for emotion recognition in video413 cited
  • 2013Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses255 cited
  • 2017Automatic Assessment of Depression Based on Visual Cues: A Systematic Review228 cited
  • 2013Social risk and depression: Evidence from manual and automatic facial expression analysis199 cited
  • 2017Dynamic Multimodal Measurement of Depression Severity Using Deep Autoencoding193 cited
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  • 2018Detecting Depression Severity by Interpretable Representations of Motion Dynamics64 cited
  • 2014Automatic nonverbal behavior indicators of depression and PTSD: the effect of gender57 cited
  • 2012Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

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54 cited
  • 1986Facial Electromyography in Depression49 cited
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