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Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields
5 references·0 citing·24 second hopsampled
Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields (2013)Automatic Pain Intensity Estimation with …Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation (2012)Multi-output Laplacian dynami…Continuous Pain Intensity Estimation from Facial Expressions (2012)Continuous Pain Intensity Est…Automatic detection of pain intensity (2012)Automatic detection of pain i…Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Painful data: The UNBC-McMast…Intraclass correlations: Uses in assessing rater reliability. (1979)Intraclass correlations: Uses…Facial Action Coding System (1978)Automatic Pain Recognition from Video and Biomedical Signals (2014)Automatic Pain Assessment with Facial Activity Descriptors (2016)Enhanced deep learning algorithm development to detect pain intensity from facial expression images (2020)Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. (1992)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Automatic Temporal Segment Detection and Affect Recognition From Face and Body Display (2008)Variable-state latent conditional random fields for facial expression recognition and action unit detection (2015)Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study (2019)Facial Expression Recognition: A Review of Trends and Techniques (2021)Facial expression of pain: An evolutionary account (2002)FERA 2015 - second Facial Expression Recognition and Analysis challenge (2015)AFEW-VA database for valence and arousal estimation in-the-wild (2017)Automatic Recognition Methods Supporting Pain Assessment: A Survey (2019)Psychological Testing (1982)EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild (2016)Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Coefficient Alpha and the Internal Structure of Tests (1951)Statistical principles in experimental design. (1962)Statistical Theories of Mental Test Scores (1969)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)The job demands-resources model of burnout. (2001)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)
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References

  • 1979Intraclass correlations: Uses in assessing rater reliability.23,882 cited
  • 2011Painful data: The UNBC-McMaster shoulder pain expression archive database617 cited
  • 2012Continuous Pain Intensity Estimation from Facial Expressions249 cited
  • 2012Automatic detection of pain intensity185 cited
  • 2012Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation86 cited

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