Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks
Author:
Affiliation:
1. Halmstad University, Göteborg, Sweden
2. Halmstad University, Halmstad, Sweden
Funder
Vinnova
Knowledge Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3664129
Reference39 articles.
1. The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
2. Abdallah Alabdallah Sepideh Pashami Thorsteinn Rögnvaldsson and Mattias Ohlsson. 2022. SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. In DSAA. 1--10. 10.1109/DSAA54385.2022.10032392
3. Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses
4. Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
5. Fast Genetic Algorithm for feature selection — A qualitative approximation approach
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