Mental illness detection through harvesting social media: a comprehensive literature review by Shahid Munir Shah, Mahmoud Mohammad Aljawarneh, Muhammad Aamer Saleem, Mahmoud Saleh Jawarneh

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Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing by Yanisa Mahayossanunt, Natawut Nupairoj, Solaphat Hemrungrojn, Peerapon Vateekul

Subjects: “…depression detection…”
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Depression-level assessment from multi-lingual conversational speech data using acoustic and text features by Cenk Demiroglu, Aslı Beşirli, Yasin Ozkanca, Selime Çelik

Subjects: “…Depression detection…”
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Intelligent depression detection with asynchronous federated optimization by Jinli Li, Ming Jiang, Yunbai Qin, Ran Zhang, Sai Ho Ling

Subjects: “…Depression detection…”
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A profile-based sentiment-aware approach for depression detection in social media by José de Jesús Titla-Tlatelpa, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda

Subjects: “…Depression detection…”
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A novel EEG-based major depressive disorder detection framework with two-stage feature selection by Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu, Gansen Zhao, Wenjun Ma

Subjects: “…Depression detection…”
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An Explainable Approach Based on Emotion and Sentiment Features for Detecting People with Mental Disorders on Social Networks by Leslie Marjorie Gallegos Salazar, Octavio Loyola-González, Miguel Angel Medina-Pérez

Subjects: “…depression detection…”
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A novel multi-model feature generation technique for suicide detection by Ting Ding, Tonghui Qu, Zongliang Zou, Cheng Ding

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Big data analytics on social networks for real-time depression detection by Jitimon Angskun, Suda Tipprasert, Thara Angskun

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Few-Electrode EEG from the Wearable Devices Using Domain Adaptation for Depression Detection by Wei Wu, Longhua Ma, Bin Lian, Weiming Cai, Xianghong Zhao

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Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles by Malik Hasnain Ahmed, Yousaf Saeed, Abid Mehmood, Muhammad Saeed, Naeem Ahmed, Qazi Mudassar Ilyas, Sajid Iqbal, Naushad Abid

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D₂X: Depression Detection System Through X Using Hybrid Machine Learning by Thara Angskun, Suda Tipprasert, Atitthan Thippongtorn, Jitimon Angskun

Subjects: “…Depression detection…”
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Depression detection with machine learning of structural and non‐structural dual languages by Filza Rehmani, Qaisar Shaheen, Muhammad Anwar, Muhammad Faheem, Shahzad Sarwar Bhatti

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Multi-Modal Fused-Attention Network for Depression Level Recognition Based on Enhanced Audiovisual Cues by Yihan Zhou, Xiaokang Yu, Zixi Huang, Feierdun Palati, Zeyu Zhao, Zihan He, Yuan Feng, Yuxi Luo

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Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks by Adrián Vázquez-Romero, Ascensión Gallardo-Antolín

Subjects: “…depression detection…”
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New chaos-integrated improved grey wolf optimization based models for automatic detection of depression in online social media and networks by Sinem Akyol

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Enhancing early depression detection with AI: a comparative use of NLP models by Bakir Hadzic, Parvez Mohammed, Michael Danner, Julia Ohse, Yihong Zhang, Youssef Shiban, Matthias Rätsch

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Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning by Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic

Subjects: “…depression detection…”
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Early-Stage Non-Severe Depression Detection Using a Novel Convolutional Neural Network Approach Based on Resting-State EEG Data by Pascal Penava, Ricardo Buettner

Subjects: “…Depression detection…”
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Simple action for depression detection: using kinect-recorded human kinematic skeletal data by Wentao Li, Qingxiang Wang, Xin Liu, Yanhong Yu

Subjects: “…Depression detection…”
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