research
∙
09/08/2022
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction
In recent years, graph neural networks (GNNs) combined with variants of ...
share
research
∙
10/23/2021
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
Multi-task learning is assumed as a powerful inference method, specifica...
research
∙
12/29/2020
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
In this work, we develop a privacy-by-design generative model for synthe...
research
∙
04/18/2019
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
We develop ensemble Convolutional Neural Networks (CNNs) to classify the...
research
∙
02/27/2019
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
Semi-supervised Generative Adversarial Networks (GANs) are developed in ...
research
∙
01/22/2019
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys
Smartphone based travel data collection has become an important tool for...
research
∙
11/23/2018
