Topic Modeling Based Multi-modal Depression Detection

28 March 2018

Papers citing "Topic Modeling Based Multi-modal Depression Detection"

7 / 7 papers shown

Title
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector Reza Hassanpour Kasim Oztoprak Niels Netten Tony Busker Mortaza S. Bargh Sunil Choenni Beyza Kizildag Leyla Sena Kilinc 36 0 0 26 Dec 2024
Self-supervised representations in speech-based depression detection Wen Wu C. Zhang P. Woodland 14 23 0 20 May 2023
Cost-effective Models for Detecting Depression from Speech Mashrura Tasnim Jekaterina Novikova 24 4 0 18 Feb 2023
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model Yingli Shen Huiyu Yang Lin Lin 14 96 0 15 Feb 2022
Neural Architecture Searching for Facial Attributes-based Depression Recognition Mingzhe Chen Xi Xiao Bin Zhang Xinyu Liu Runiu Lu CVBM 28 5 0 24 Jan 2022
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation Jiaqi Xu Siyang Song Keerthy Kusumam Hatice Gunes M. Valstar 48 21 0 30 Nov 2021
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition F. Ringeval Björn Schuller M. Valstar N. Cummins R. Cowie ... Ziping Zhao Adria Mallol-Ragolta Zhao Ren M. Soleymani M. Pantic 16 289 0 10 Jul 2019