1 citations · 1 across the 1 of their papers we have counts for
8 papers
CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction
Agnideep Aich, Md Monzur Murshed, Bruce Wade +1
Class imbalance remains a practical obstacle in the development of clinical prediction models for conditions such as diabetes mellitus, where the number of confirmed cases is often…
Comparing Two Categorical Gini Correlations with Applications to Classification Problems
Sameera Hewage, Yongli Sang
This article proposes an inferential framework for comparing predictor importance in classification problems with categorical response variables. The approach is based on the categ…
gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
Sameera Hewage
Categorical Gini Correlation (CGC), introduced by Dang et al. (2020), is a novel dependence measure designed to quantify the association between a numerical variable and a categori…
Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
Agnideep Aich, Md. Monzur Murshed, Sameera Hewage +1
We propose a Bayesian copula-based framework to quantify clinically interpretable joint tail risks from paired continuous biomarkers. After converting each biomarker margin to rank…
A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine Learning
Agnideep Aich, Md Monzur Murshed, Sameera Hewage +1
Effective feature selection is critical for robust and interpretable predictive modeling in medicine, especially when risk factors matter most in extreme patient strata. Many stand…
Bag of Coins: A Statistical Probe into Neural Confidence Structures
Agnideep Aich, Sameera Hewage, Md Monzur Murshed +2
Modern neural networks often produce miscalibrated confidence scores and struggle to detect out-of-distribution (OOD) inputs, while most existing methods post-process outputs witho…