A Pre-processing Method for Fairness in Ranking. - Ryosuke Sonoda (CoRR, 2021)

Exploring the Impact of Lay User Feedback for Improving AI Fairness. - Evdoxia Taka; Yuri Nakao; Ryosuke Sonoda; Takuya Yokota; Lin Luo; Simone Stumpf (CoRR, 2023)

Fair oversampling technique using heterogeneous clusters. - Ryosuke Sonoda (Inf. Sci., 2023)

Mutual Information-Based Fair Active Learning. - Ryosuke Sonoda; Ramya Srinivasan 002 (ICASSP, 2024)

LLM Diagnostic Toolkit: Evaluating LLMs for Ethical Issues. - Mehdi Bahrami; Ryosuke Sonoda; Ramya Srinivasan 002 (IJCNN, 2024)

The Need for User-centred Assessment of AI Fairness and Correctness. - Simone Stumpf; Evdoxia Taka; Yuri Nakao; Lin Luo; Ryosuke Sonoda; Takuya Yokota (UMAP (Adjunct Publication), 2024)

A Statistical Analysis of LLMs' Self-Evaluation Using Proverbs. - Ryosuke Sonoda; Ramya Srinivasan 002 (CoRR, 2024)