Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Combining Deep Learning and Survival Analysis for Asset Health Management
Deep Survival: A Deep Cox Proportional Hazards Network
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
Tree-structured survival analysis.
Modeling Survival Data: Extending the Cox Model
Deep Learning for Predicting Asset Returns
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Restaurant Survival Analysis with Heterogeneous Information
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
Deep Learning based multi-omics integration robustly predicts survival in liver cancer
SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Decision Tree Based Predictive Models for Breast Cancer Survivability on Imbalanced Data
An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
Desh: deep learning for system health prediction of lead times to failure in HPC
Remaining useful life estimation based on nonlinear feature reduction and support vector regression
Credit scoring with macroeconomic variables using survival analysis
Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursive Peeling Methods
Framework for prediction of life insurance customers based on multi-algorithms
ggRandomForests: Exploring Random Forest Survival
Survival model predictive accuracy and ROC curves.
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Strategic planning and corporate performance . What is the relationship ?
Duration dependence and exits from youth unemployment in Spain and the Czech Republic
Parental Cultural Socialization of Mexican-American Adolescents' Family Obligation Values and Behaviors
An Overview of Lightning Locating Systems: History, Techniques, and Data Uses, With an In-Depth Look at the U.S. NLDN