Search Results - "depression detection"

Machine Learning Fairness for Depression Detection Using EEG Data

Kwok, Angus Man Ho, Cheong, Jiaee, Kalkan, Sinan, Gunes, Hatice

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

Weakly-Supervised Depression Detection in Speech Through Self-Learning Based Label Correction

Sun, Y., Zhou, Y., Xu, X., Qi, J., Xu, F., Ren, Z., Schuller, B.W.

Accuracy Analysis on Online Depression Detection Using Machine Learning and Data Science

Agarwal, Anusha, Johri, Prashant, Mathur, Aviral, Gaur, Nitin, Baghela, Vishwadeepak Singh

2025 3rd International Conference on Disruptive Technologies (ICDT)

Depression Detection on Social Media Posts Using BERT and Support Vector Machine

Shoaib, Haris, Ali, Rashid, Khan, S. M. Shadab, Adil, Mohd

2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT)

Comparison of Depression Detection Between LLMs and Zero-Shot Learning Using DAD Dataset

Leow, Justin J. D., Chua, Hui Na, Jasser, Muhammed Basheer, Issa, Bayan, Wong, Richard T.K.

2025 21st IEEE International Colloquium on Signal Processing & Its Applications (CSPA)

AI-Enhanced Depression Detection System: Integrating Multimodal Analysis for Early Diagnosis

Patidar, Aditya, Gore, Dhruv, Inje, Bhushan, Alhat, Apurva

2025 International Conference on Computational, Communication and Information Technology (ICCCIT)

Machine Learning Models for Depression Prediction: A Comprehensive Analysis

Balipa, Dr Mamatha, Shetty, Anvitha R

2025 International Conference on Artificial Intelligence and Data Engineering (AIDE)

Depression Detection Using Hybrid Model BiLSTM – CNN with Glove as Feature Expansion in X

Artamevia, Bintan Dinar, Setiawan, Erwin Budi

2025 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)

An Automated Depression Diagnosis System Utilizing a Knowledge Base Created with GPT

Nushida, Tomoki, Kang, Xin, Matsumoto, Kazuyuki, Yoshida, Minoru, Zhou, Jiazheng

2025 IEEE 17th International Conference on Computer Research and Development (ICCRD)

A Survey on Predicting Depression Among Teachers and Students at Metropolitan University (Sylhet, Bangladesh) Using Machine Learning

Tabassum, Anika, Ema, Yasmin Firuza, Rafee, Md. Mushtaq Shahriyar, Limon, Md Shamihul Islam Khan

2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)

Investigating the Relationship between Signs of Depression and Alzheimer's Dementia in Speech

Haider, Fasih, Saunders, Stina, Richie, Craig, Luz, Saturnino

2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC)

Explainable Depression Detection in Social Media Using Transformer-Based Models: A Comparative Analysis of Machine Learning

B, Venkata Sai Laxman, Kulkarni, Sanat Shantanu, Hareesh, Beecha Venkata Naga, Enduri, Murali Krishna

2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN)

Enhancing Emotional Well-Being With IoT Data Solutions for Depression: A Systematic Review

Zamani, S., Sinha, R., Nguyen, M., Madanian, S.

Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model

Zhou, S., Mohd, M.

Explainable Depression Classification Based on EEG Feature Selection From Audio Stimuli

Zhu, L., Wang, R., Jin, X., Li, Y., Tian, F., Cai, R., Qian, K., Hu, X., Hu, B., Yamamoto, Y., Schuller, B.W.

DDNet: A Robust, and Reliable Hybrid Machine Learning Model for Effective Detection of Depression Among University Students

Mumenin, N., Abu Yousuf, M., Alassafi, M.O., Mostafa Monowar, M., Abdul Hamid, M.

BMFCNet: Blended Multilevel Features With Constraint Fusion Network for Depression Detection From EEG Signals

Karnati, M., Sahu, G., Verma, G., Seal, A., Kishore Dutta, M., Jaworek-Korjakowska, J.

Multi-Modal Fused-Attention Network for Depression Level Recognition Based on Enhanced Audiovisual Cues

Zhou, Y., Yu, X., Huang, Z., Palati, F., Zhao, Z., He, Z., Feng, Y., Luo, Y.

Hardware-Based Real Time EEG Signal Analysis for Depression Detection Using Interconnected Graph-Based Features

Sharma, R., Meena, H.K.

Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques

Tahir, W.B., Khalid, S., Almutairi, S., Abohashrh, M., Memon, S.A., Khan, J.