2 papers
cs.LG2025
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Farhana Elias, Md Shihab Reza, Muhammad Zawad Mahmud +2
The present research tackles the difficulty of predicting osteoporosis risk via machine learning (ML) approaches, emphasizing the use of explainable artificial intelligence (XAI) t…
cs.LG2024
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach
Md Shihab Reza, Monirul Islam Mahmud, Ifti Azad Abeer +1
The development of computing has made credit scoring approaches possible, with various machine learning (ML) and deep learning (DL) techniques becoming more and more valuable. Whil…