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Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble
Zhang, Xiaowei, Shen, Jian, Din, Zia ud, Liu, Jinyong, Wang, Gang, Hu, Bin
Published in IEEE journal of biomedical and health informatics (01.11.2019)
Published in IEEE journal of biomedical and health informatics (01.11.2019)
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LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection
Song, XinWang, Yan, DanDan, Zhao, LuLu, Yang, LiCai
Published in Biomedical signal processing and control (01.05.2022)
Published in Biomedical signal processing and control (01.05.2022)
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Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions
Yang, Minqiang, Ma, Yu, Liu, Zhenyu, Cai, Hanshu, Hu, Xiping, Hu, Bin
Published in IEEE wireless communications (01.06.2021)
Published in IEEE wireless communications (01.06.2021)
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Enhanced depression detection from speech using Quantum Whale Optimization Algorithm for feature selection
Kaur, Baljeet, Rathi, Swati, Agrawal, R.K.
Published in Computers in biology and medicine (01.11.2022)
Published in Computers in biology and medicine (01.11.2022)
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Decoupled Multi-perspective Fusion for Speech Depression Detection
Zhao, Minghui, Gao, Hongxiang, Zhao, Lulu, Wang, Zhongyu, Wang, Fei, Zheng, Wenming, Li, Jianqing, Liu, Chengyu
Published in IEEE transactions on affective computing (04.02.2025)
Published in IEEE transactions on affective computing (04.02.2025)
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Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection
Ohse, Julia, Hadžić, Bakir, Mohammed, Parvez, Peperkorn, Nicolina, Danner, Michael, Yorita, Akihiro, Kubota, Naoyuki, Rätsch, Matthias, Shiban, Youssef
Published in Computer speech & language (01.11.2024)
Published in Computer speech & language (01.11.2024)
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Eye movement analysis for depression detection
Alghowinem, Sharifa, Goecke, Roland, Wagner, Michael, Parker, Gordon, Breakspear, Michael
Published in Proceedings - International Conference on Image Processing (01.09.2013)
Published in Proceedings - International Conference on Image Processing (01.09.2013)
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Poststroke Depression Detection Based on Multidistance Optimized Domain Adaptation Networks Using EEG Signals
Wang, Hui, Song, Ying, Yin, Jinghui, Liu, Jianye, Li, Xiaohe, Xu, Hangrui, Wang, Yonghui, Liu, Ju, Wu, Qiang
Published in IEEE sensors journal (15.04.2025)
Published in IEEE sensors journal (15.04.2025)
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EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?
Kapitány-Fövény, Máté, Vetró, Mihály, Révy, Gábor, Fabó, Dániel, Szirmai, Danuta, Hullám, Gábor
Published in Journal of psychiatric research (01.10.2024)
Published in Journal of psychiatric research (01.10.2024)
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Ensemble learning with speaker embeddings in multiple speech task stimuli for depression detection
Liu, Zhenyu, Yu, Huimin, Li, Gang, Chen, Qiongqiong, Ding, Zhijie, Feng, Lei, Yao, Zhijun, Hu, Bin
Published in Frontiers in neuroscience (23.03.2023)
Published in Frontiers in neuroscience (23.03.2023)
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Development of depression detection algorithm using text scripts of routine psychiatric interview
Oh, Jihoon, Lee, Taekgyu, Chung, Eun Su, Kim, Hyonsoo, Cho, Kyongchul, Kim, Hyunkyu, Choi, Jihye, Sim, Hyeon-Hee, Lee, Jongseo, Choi, In Young, Kim, Dai-Jin
Published in Frontiers in psychiatry (04.01.2024)
Published in Frontiers in psychiatry (04.01.2024)
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Depression Detection Using an Automatic Sleep Staging Method With an Interpretable Channel-Temporal Attention Mechanism
Pan, Jiahui, Liu, Jie, Zhang, Jianhao, Li, Xueli, Quan, Dongming, Li, Yuanqing
Published in IEEE transactions on cognitive and developmental systems (01.08.2024)
Published in IEEE transactions on cognitive and developmental systems (01.08.2024)
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Research on the Method of Depression Detection by Single-Channel Electroencephalography Sensor
Lei, Xue, Ji, Weidong, Guo, Jingzhou, Wu, Xiaoyue, Wang, Huilin, Zhu, Lina, Chen, Liang
Published in Frontiers in psychology (13.07.2022)
Published in Frontiers in psychology (13.07.2022)
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