3 papers
cond-mat.mtrl-sci2025
A Machine Learning Framework for Predicting Glass-Forming Ability in Ternary Alloy Systems
Fatemeh Mahmoudi
Predicting the glass-forming ability (GFA) of chemical compositions remains a fundamental challenge in materials science, especially for oxide glasses with broad compositional dive…
stat.ME2025
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
Fatemeh Mahmoudi, Chenxi Li, Kaida Cai +1
Competing risks data refer to situations where the occurrence of one event pre- cludes the possibility of other events happening, resulting in multiple mutually exclusive events. T…
stat.ME2024
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
Christian Chan, Fatemeh Mahmoudi, Chel Hee Lee +2
We introduce a novel method to simultaneously perform variable selection and estimation in the joint frailty model of recurrent and terminal events using the Broken Adaptive Ridge…