Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Causal Discovery from Temporally Aggregated Time Series
Learning Causal Structure from Undersampled Time Series
Scalable Techniques for Mining Causal Structures
Comparison of strategies for scalable causal discovery of latent variable models from mixed data
Recurrence to the Rescue: Towards Causal Spatiotemporal Representations
local causal and markov blanket induction for causal discovery and feature selection for classification part i : algorithms and empirical evaluation .
Extracting Temporal and Causal Relations between Events
An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation
Learning Granger Causality for Hawkes Processes
Inferring causal impact using Bayesian structural time-series models
Identifying Conditional Causal Effects
Minimally Supervised Event Causality Identification
Detecting and Explaining Causes From Text For a Time Series Event
Causal Structure Learning and Inference: A Selective Review
An overview of relations among causal modelling methods
On learning causal models from relational data
Probabilistic discovery of time series motifs
Knowledge Discovery in Time Series Databases
Causal Inference in Observational Data
Text mining for causal relations
Inference of Causal Networks from Time-Varying Transcriptome Data via Sparse Coding
Data preparation step for automated diagnosis based on HRV analysis and machine learning
Learning the Structure of Dynamic Probabilistic Networks
Fully Distributed Scrum: The Secret Sauce for Hyperproductive Offshored Development Teams
Fast segmentation of 3D point clouds for ground vehicles
A comparative analysis of tightly-coupled monocular, binocular, and stereo VINS