Research fields:
Artificial intelligence, generative AI, machine learning, improving the ability to explain through data transparency
Research themes:
Research on business analytics by making tree-ensemble such as XGBoost, AutoML, and generative AI white boxes
[Keywords]
XGBoost, AutoML, Reliability and interpretability of AI and generative AI
Main books and papers:
◆“Why do tree ensemble approximators not outperform the Re-cursive-Rule eXtraction algorithm?” (Joint authorship) Machine Learning & Knowledge Extraction 6, 2024
◆“Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions” (Joint authorship) Information Fusion 106(102301), pp.1-22, 2024
◆“Prospects for Revolutionary and Popular AI Technology Following the Launch of ChatGPT in 2023” Electronics 13(290), 2024
◆“Emerging Trends in Deep Learning for Credit Scoring: A Review” Electronics 11(19), pp.3181, 2023