Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
Modeling Survival Data: Extending the Cox Model
Deep Survival: A Deep Cox Proportional Hazards Network
Combining Deep Learning and Survival Analysis for Asset Health Management
Regression modeling of competing risk using R: an in depth guide for clinicians
Tree-based Bayesian Mixture Model for Competing Risks
Multi-task Survival Analysis
Competing Risks and Time-Dependent Covariates
Using EM and Data Augmentation for the Competing Risks Model
Competing risk analysis using R: an easy guide for clinicians
Deep Survival Analysis
Tree-structured survival analysis.
A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index
Modelling consumer credit risk via survival analysis
Time-dependent covariates in the proportional subdistribution hazards model for competing risks
Beyond The Cox Model : Artificial Neural Networks For Survival Analysis Part II
Active Learning based Survival Regression for Censored Data
Survival Analysis II: Cox Regression
A Simple Discrete-Time Survival Model for Neural Networks
Analyzing survival curves at a fixed point in time for paired and clustered right-censored data
Effect of range of motion in heavy load squatting on muscle and tendon adaptations
Bayesian Gaussian Process Latent Variable Model
Osteoporosis in rheumatoid arthritis and ankylosing spondylitis.
The iNaturalist Species Classification and Detection Dataset
Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study