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Roi Sagy

Biographic Data

ID7971808
NAMERoi Sagy
GIVEN NAMESRoi
FAMILY NAMESagy
SIGNATURESAGY R
AFFILIATIONSGeha Mental Health Center
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX0
  • Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System

    Open Access•Ran Barzilay, Nadav Israel et al.•ARTICLE•Frontiers in Psychiatry•2019

    Classifying patients' affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that can act to identify facial expressions from videos. In this study, we aimed to explore the potential of using machine learning techniques on FAR features extracted from videotaped semi-st…

No prominent works on this page.

  • Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System

    Open Access•Ran Barzilay, Nadav Israel et al.•ARTICLE•Frontiers in Psychiatry•2019

    Classifying patients' affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that can act to identify facial expressions from videos. In this study, we aimed to explore the potential of using machine learning techniques on FAR features extracted from videotaped semi-st…

Action (physics (1 work) · Affect (linguistics (1 work) · Artificial Intelligence (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Communication (1 work) · Communication (1 work) · Computer Science (1 work) · Consistency (knowledge bases (1 work) · Machine learning (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae