Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application. - Michael Danner; Bakir Hadzic; Thomas Weber; Xinjuan Zhu; Matthias Rätsch (DeLTA, 2023)

Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection. - Michael Danner; Bakir Hadzic; Sophie Gerhardt; Simon Ludwig; Irem Uslu; Peng Shao; Thomas Weber; Youssef Shiban; Matthias Rätsch (SICE, 2023)

Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets. - Michael Danner; Bakir Hadzic; Robert Radloff; Xueping Su; Le Ping Peng; Thomas Weber; Matthias Rätsch (VISIGRAPP (5: VISAPP), 2023)

AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study. - Bakir Hadzic; Julia Ohse; Michael Danner; Nicolina Laura Peperkorn; Parvez Mohammed; Youssef Shiban; Matthias Rätsch (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2024)

Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection. - Julia Ohse; Bakir Hadzic; Parvez Mohammed; Nicolina Laura Peperkorn; Michael Danner; Akihiro Yorita; Naoyuki Kubota; Matthias Rätsch; Youssef Shiban (Comput. Speech Lang., 2024)

Emotional Dynamics in Semi-Clinical Settings: Speech Emotion Recognition in Depression-Related Interviews. - Bakir Hadzic; Julia Ohse; Mohamad Eyad Alkostantini; Nicolina Laura Peperkorn; Akihiro Yorita; Thomas Weber; Naoyuki Kubota; Youssef Shiban; Matthias Rätsch (ICT4AWE, 2025)

Enhancing Individual Self-Efficacy Through a Self-Growing Memory Artificial Intelligence Agent Integrated with a Diary Application. - Yuchen Guo; Chyan Zheng Siow; Wei Hong Chin; Bakir Hadzic; Akihiro Yorita; Takenori Obo; Matthias Rätsch; Naoyuki Kubota (J. Adv. Comput. Intell. Intell. Informatics, 2025)