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Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text 6th International Workshop on Audio-Visual Emotion Recognition Challenge - Depression, Mood, and Emotion (AVEC), Oct 2016, Amsterdam, Netherlands. pp.27-34, ⟨10.1145/2988257.2988266⟩
Communication dans un congrès
hal-01464064v1
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Automated Characterization of Mouth Activity for Stress and Anxiety AssessmentIEEE International Conference on Imaging Systems and Techniques (IST) / IEEE International School on Imaging, Oct 2016, Chania, Greece. pp.356-361, ⟨10.1109/IST.2016.7738251⟩
Communication dans un congrès
hal-01514927v1
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Preliminary Evaluation of a Web-Oriented Assessment Tool for Emotion Recognition13th International Conference on Wearable Micro and Nano Technologies for Personalised Health (pHealth), May 2016, Heraklion, Greece. pp.95-100, ⟨10.3233/978-1-61499-653-8-95⟩
Communication dans un congrès
hal-01438363v1
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Facial Geometry and Speech Analysis for Depression Detection 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'17) , Jul 2017, Jeju Island, South Korea
Communication dans un congrès
hal-01588556v1
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Automatic Assessment of Depression Based on Visual Cues: A Systematic ReviewIEEE Transactions on Affective Computing, 2019, 10 (4), pp.445-470. ⟨10.1109/TAFFC.2017.2724035⟩
Article dans une revue
hal-01794280v1
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Video-Based Depression Detection Using Local Curvelet Binary Patterns in Pairwise Orthogonal Planes38th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug 2016, Orlando, United States
Communication dans un congrès
hal-01354878v1
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Quantitative comparison of motion history image variants for video-based depression assessmentEURASIP Journal on Image and Video Processing, 2017, 2017 (1), ⟨10.1186/s13640-017-0212-3⟩
Article dans une revue
hal-01794263v1
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