Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Modeling disease progression via fused sparse group lasso
A multi-task learning formulation for predicting disease progression
A First Order Free Lunch for SQRT-Lasso
WEIGHTED LASSO IN GRAPHICAL GAUSSIAN MODELING FOR LARGE GENE NETWORK ESTIMATION BASED ON MICROARRAY DATA
A Safe Screening Rule for Sparse Logistic Regression
Square-Root Lasso With Nonconvex Regularization: An ADMM Approach
The Detection of Disease Clustering and a Generalized Regression Approach
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity
Advances in group-based trajectory modeling and an SAS procedure for estimating them
Disease Inference from Health-Related Questions via Sparse Deep Learning
Compressed and Privacy-Sensitive Sparse Regression
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery
Sparse Multinomial Logistic Regression via Bayesian L 1 Regularisation
Learning Efficient Sparse and Low Rank Models
Supersparse linear integer models for optimized medical scoring systems
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
Enhancing Sparsity by Reweighted L1 Minimization
Sparse Additive Models
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Conditional Graphical Lasso for Multi-label Image Classification
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models
The role and development of sprinting speed in soccer
DepAudioNet: An Efficient Deep Model for Audio based Depression Classification
Pathwise coordinate optimization
Paddy diseases identification with texture analysis using fractal descriptors based on fourier spectrum
Back to the Future: Learning Shape Models from 3D CAD Data