Yoshiyasu Takefuji

Reevaluating feature importance in machine learning: concerns regarding SHAP interpretations in the context of the EU artificial intelligence act

2025 · 13 Zit. · Water Research

Why AI image generators cannot afford to be blind to racial bias

2025 · 2 Zit. · AI & Society

Comment on "Optimized machine learning model for predicting unplanned reoperation after rectal cancer anterior resection"

2025 · 2 Zit. · European Journal of Surgical Oncology

Addressing bias in feature importances derived from XGBoost. Comment on Br J Anaesth 2024;133:351–9

2025 · 2 Zit. · British Journal of Anaesthesia

Generative AI for diabetologists: a concise tutorial on dataset analysis

2024 · 2 Zit. · Journal of Diabetes & Metabolic Disorders

Letter Re: Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

2025 · 1 Zit. · European Journal of Cancer

Leveraging human-AI collaboration to visualize age-related diabetes features using dataset

2024 · 1 Zit. · Archives of Gerontology and Geriatrics Plus

Towards reliable feature interpretation in machine learning-based longevity prediction

2026 · 0 Zit. · Annals of Epidemiology

Methodological Concerns in Radiomics: Addressing Bias in LASSO and SHAP for Thyroid Tumor Analysis

2025 · 0 Zit. · Ultrasound in Medicine & Biology