Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Detecting Granger-causal relationships in global spatio-temporal climate data via multitask learning
Climate Multi-model Regression Using Spatial Smoothing
Machine learning in geosciences and remote sensing
Time Series Analysis: Univariate and Multivariate Methods
Spatiotemporal Data Mining: A Computational Perspective
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Bayesian Online Multitask Learning of Gaussian Processes
Learning Multiple Tasks with Multilinear Relationship Networks
Parallel Multiscale Autoregressive Density Estimation
Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction
Data-Efficient Temporal Regression with MultiTask Recurrent Neural Networks
Gaussian predictive process models for large spatial data sets
Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique
A Regularization Approach to Learning Task Relationships in Multitask Learning
an integrated framework for simultaneous classification and regression of time - series data .
Nonlinear Time Series Analysis
Estimating common trends in multivariate time series using dynamic factor analysis
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
A ground level causal learning algorithm
Pattern recognition and classification for multivariate time series
Laplacian Echo State Network for Multivariate Time Series Prediction
DeepStereo Dense Depth Estimation from Stereo Image Pairs using Convolutional Neural Networks
Access Control in Internet of Things: A Survey
Semi-Supervised Learning on Riemannian Manifolds
linear algebraic and linear programming techniques for the analysis of place or transition net systems .
identifying patterns in spatial information : a survey of methods .