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Found 2 papers, 1 papers with code
A copula-based boosting model for time-to-event prediction with dependent censoring
A characteristic feature of time-to-event data analysis is possible censoring of the event time.
A Decision Support System for Safer Airplane Landings: Predicting Runway Conditions Using XGBoost and Explainable AI
In this study, XGBoost is used to create a combined runway assessment system, which includes a classification model to identify slippery conditions and a regression model to predict the level of slipperiness.
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