26 citations · 39 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Explainable Predictive Maintenance
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami +1
The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of th…