research
∙
05/29/2023
Counterpart Fairness – Addressing Systematic between-group Differences in Fairness Evaluation
When using machine learning (ML) to aid decision-making, it is critical ...
share
research
∙
01/30/2023
A Simulation Study of the Performance of Statistical Models for Count Outcomes with Excessive Zeros
Background: Outcome measures that are count variables with excessive zer...
research
∙
01/27/2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Spatiotemporal learning, which aims at extracting spatiotemporal correla...
research
∙
08/17/2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Spatiotemporal forecasting is an imperative topic in data science due to...
research
∙
02/09/2021
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility
The high dynamics and heterogeneous interactions in the complicated urba...
research
∙
09/22/2020
A Bias Correction Method in Meta-analysis of Randomized Clinical Trials with no Adjustments for Zero-inflated Outcomes
Many clinical endpoint measures, such as the number of standard drinks c...
research
∙
09/21/2020
Sample Size Calculation for Cluster Randomized Trials with Zero-inflated Count Outcomes
Cluster randomized trails (CRT) have been widely employed in medical and...
research
∙
02/19/2020