research
∙
01/20/2023
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19
Human mobility estimation is crucial during the COVID-19 pandemic due to...
share
research
∙
11/06/2022
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
While deep reinforcement learning has proven to be successful in solving...
research
∙
09/27/2022
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data
Speed-control forecasting, a challenging problem in driver behavior anal...
research
∙
05/24/2022
Partial frontiers are not quantiles
Quantile regression and partial frontier are two distinct approaches to ...
research
∙
04/04/2022
Non-crossing convex quantile regression
Quantile crossing is a common phenomenon in shape constrained nonparamet...
research
∙
03/07/2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Traffic accident forecasting is a significant problem for transportation...
research
∙
05/03/2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Urban dispersal events are processes where an unusually large number of ...
research
∙
09/06/2018
