3 papers
cs.LG2026
K-Survival Means
Abdallah Alabdallah
In this work, we propose K-SurvMeans, a novel extension of K-Means for clustering survival data. The method explicitly uses the survival outcome in the clustering process to optimi…
cs.AI2026
Bridging Forecast Accuracy and Inventory KPIs: A Simulation-Based Software Framework
So Fukuhara, Abdallah Alabdallah, Nuwan Gunasekara +1
Efficient management of spare parts inventory is crucial in the automotive aftermarket, where demand is highly intermittent and uncertainty drives substantial cost and service risk…
cs.LG2025
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson +2
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it…