3 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ML2025
On the Tunability of Random Survival Forests Model for Predictive Maintenance
Yigitcan Yardımcı, Mustafa Cavus
This paper investigates the tunability of the Random Survival Forest (RSF) model in predictive maintenance, where accurate time-to-failure estimation is crucial. Although RSF is wi…
stat.AP2025★ 3 cited
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models
Yigitcan Yardimci, Mustafa Cavus
The prediction of the Remaining Useful Life of aircraft engines is a critical area in high-reliability sectors such as aerospace and defense. Early failure predictions help ensure…