Anastasia Pampouchidou

Orcid: 0000-0002-6874-9769

According to our database1, Anastasia Pampouchidou authored at least 15 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
Automated facial video-based recognition of depression and anxiety symptom severity: cross-corpus validation.
Mach. Vis. Appl., 2020

2019
Automatic Assessment of Depression Based on Visual Cues: A Systematic Review.
IEEE Trans. Affect. Comput., 2019

2018
Automatic detection of visual cues associated to depression. (Détection automatique des repères visuels associés à la dépression).
PhD thesis, 2018

Machine Learning Techniques for Automatic Depression Assessment.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

2017
Quantitative comparison of motion history image variants for video-based depression assessment.
EURASIP J. Image Video Process., 2017

Glottal Source Features for Automatic Speech-Based Depression Assessment.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Facial geometry and speech analysis for depression detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Preliminary Evaluation of a Web-Oriented Assessment Tool for Emotion Recognition.
Proceedings of the pHealth 2016, 2016

Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text.
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Stress Detection from Speech Using Spectral Slope Measurements.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2016

Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Designing a framework for assisting depression severity assessment from facial image analysis.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Extraction of facial features as indicators of stress and anxiety.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Facial Signs and Psycho-physical Status Estimation for Well-being Assessment.
Proceedings of the HEALTHINF 2014, 2014


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