activity
20132021
most citedA convolution recurrent autoencoder for spatio-temporal missing data imputation

12 citations · 26 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2021

4D flight trajectory prediction using a hybrid Deep Learning prediction method based on ADS-B technology: a case study of Hartsfield-Jackson Atlanta International Airport(ATL)

Hesam Sahfienya, Amelia C. Regan

The core of any flight schedule is the trajectories. In particular, 4D trajectories are the most crucial component for flight attribute prediction. In particular, 4D trajectories a…

cs.MA2021★ 1 cited

B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks

Lam Duc Nguyen, Amari N. Lewis, Israel Leyva-Mayorga +2

Urban areas are negatively impacted by Carbon Dioxide (CO2 ) and Nitrogen Oxide (NOx) emissions. In order to achieve a cost-effective reduction of greenhouse gas emissions and to c…

cs.CY2020★ 1 cited

Paratransit Agency Responses to the Adoption of Sub-contracted Services Using Secure Technologies

Amari N. Lewis, Amelia C. Regan

Transportation agencies across the United States have the responsibility of providing transportation services for all travelers. Paratransit services which are designed to meet the…

cs.GT2020

A Matching Mechanism with Anticipatory Tolls for Congestion Pricing

J Ceasar Aguma, Amelia C. Regan

This paper presents a matching mechanism for assigning drivers to routes where the drivers pay a toll for the marginal delay they impose on other drivers. The simple matching mecha…

cs.LG2019★ 12 cited

A convolution recurrent autoencoder for spatio-temporal missing data imputation

Reza Asadi, Amelia Regan

When sensors collect spatio-temporal data in a large geographical area, the existence of missing data cannot be escaped. Missing data negatively impacts the performance of data ana…

cs.LG2019★ 6 cited

A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting

Reza Asadi, Amelia Regan

Spatial time series forecasting problems arise in a broad range of applications, such as environmental and transportation problems. These problems are challenging because of the ex…

cs.DC2017★ 4 cited

Sorting with GPUs: A Survey

Dmitri I. Arkhipov, Di Wu, Keqin Li +1

Sorting is a fundamental operation in computer science and is a bottleneck in many important fields. Sorting is critical to database applications, online search and indexing,biomed…

cs.LG2013★ 2 cited

Thompson Sampling in Dynamic Systems for Contextual Bandit Problems

Tianbing Xu, Yaming Yu, John Turner +1

We consider the multiarm bandit problems in the timevarying dynamic system for rich structural features. For the nonlinear dynamic model, we propose the approximate inference for t…

cs.LG2013

Online Classification Using a Voted RDA Method

Tianbing Xu, Jianfeng Gao, Lin Xiao +1

We propose a voted dual averaging method for online classification problems with explicit regularization. This method employs the update rule of the regularized dual averaging (RDA…