Thalea Schlender
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
ML×1AI×1Neural Computing×1
Frequent co-authors
Research Timeline
2026
Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
This paper proposes using genetic programming (GP) to jointly evolve both the feature sets and the structure of survival trees, resulting in highly interpretable and high-performing shallow models for survival analysis.
Highlighted terms show continued research focus across papers