Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Random Forests for Uplift Modeling: An Insurance Customer Retention Case
Real-World Uplift Modelling with Significance-Based Uplift Trees
Narrowing the Gap: Random Forests In Theory and In Practice
Random Survival Forests for High-Dimensional Data
Customer churn prediction using improved balanced random forests
Uplift Modeling with Multiple Treatments and General Response Types
Customer Attrition Analysis for Financial Services Using Proportional Hazard Models
Exploratory Data Analysis using Random Forests ∗
Analysis of a Random Forests Model
Gradient boosting trees for auto insurance loss cost modeling and prediction
On-line Random Forests
Interpreting random forest models using a feature contribution method
Framework for prediction of life insurance customers based on multi-algorithms
Random Survival Forests
Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data
Machine Learning for Survival Analysis: A Survey
Predicting disease risks from highly imbalanced data using random forest
On Oblique Random Forests
Deep and Shallow Model for Insurance Churn Prediction Service
Bias in random forest variable importance measures: Illustrations, sources and a solution
Reinforced random forest
Implications of loyalty program membership and service experiences for customer retention and value
Aging effect in pattern, motion and cognitive visual evoked potentials
'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
Language GANs Falling Short
Neural variational entity set expansion for automatically populated knowledge graphs