Emily Beth Fox
Stanford University
Workshop paper
Publication Types:
Sort by year:
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Representing and Denoising Wearable ECG Recordings
Modeling Patterns of Smartphone Usage and Their Relationship to Cognitive Health
An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery
An Efficient ADMM Algorithm for Structural Break Detection in Multivariate Time Series
Sparse plus low-rank graphical models of time series for functional connectivity in MEG
Scalable Clustering of Correlated Time Series using Expectation Propagation
Identifiability of Non-Gaussian Structural VAR Models for Subsampled and Mixed Frequency Time Series
Granger Causality Networks for Categorical Time Series
A Unified Framework for Missing Data and Cold Start Prediction for Time Series Data
Streaming Variational Inference for Normalized Random Measure Mixture Models
Detecting and Classifying Anomalous Behavior in Spatiotemporal Network Data
Workshop paper
KDD Workshop on Learning about Emergencies from Social Information
Publication year: 2014