Jane MacFarlane

Orcid: 0000-0002-4683-5447

According to our database1, Jane MacFarlane authored at least 25 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks.
IEEE Trans. Intell. Transp. Syst., August, 2024

2023
Simulating the Impact of Dynamic Rerouting on Metropolitan-scale Traffic Systems.
ACM Trans. Model. Comput. Simul., 2023

A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data.
CoRR, 2023

Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction.
CoRR, 2023

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control.
CoRR, 2023

Graph Pyramid Autoformer for Long- Term Traffic Forecasting.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting.
CoRR, 2022

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting.
CoRR, 2022

Differentially Private Map Matching for Mobility Trajectories.
Proceedings of the Annual Computer Security Applications Conference, 2022

2021
A Traffic Demand Analysis Method for Urban Air Mobility.
IEEE Trans. Intell. Transp. Syst., 2021

A data-centric weak supervised learning for highway traffic incident detection.
CoRR, 2021

Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset.
CoRR, 2021

Socially-Aware Evaluation Framework for Transportation.
CoRR, 2021

Quasi-Dynamic Traffic Assignment using High Performance Computing.
CoRR, 2021

2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting.
CoRR, 2019

2018
Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Temporal Sampling Constraints for GeoSpatial Path Reconstruction in a Transportation Network.
Proceedings of the 10th ACM SIGSPATIAL Workshop on Computational Transportation Science, 2017

2016
Addressing the uncertainties in autonomous driving.
ACM SIGSPATIAL Special, 2016

Real-time detection and classification of traffic jams from probe data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2014
A before and after study for travel time of unconventional intersections using probe data.
Proceedings of the IWCTS 2014, 2014

2012
A new upsampling method for mobile LiDAR data.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Automatic registration of mobile LiDAR and spherical panoramas.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

1996
Rapid product realization from detail design.
Comput. Aided Des., 1996

1994
The Use of Frameworks for Scientific Computation in a Parallel Distributed Environment.
Proceedings of the Third International Symposium on High Performance Distributed Computing, 1994


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