The Use of Frameworks for Scientific Computation in a Parallel Distributed Environment. - Robert C. Armstrong; Jane MacFarlane (HPDC, 1994)

Rapid product realization from detail design. - Sanjay E. Sarma; Steven Schofield; James Stori; Jane MacFarlane; Paul K. Wright (Comput. Aided Des., 1996)

Automatic registration of mobile LiDAR and spherical panoramas. - Ruisheng Wang; Frank P. Ferrie; Jane MacFarlane (CVPR Workshops, 2012)

A new upsampling method for mobile LiDAR data. - Ruisheng Wang 001; Jeff Bach; Jane MacFarlane; Frank P. Ferrie (WACV, 2012)

A before and after study for travel time of unconventional intersections using probe data. - Bo Xu 001; Matei Stroila; Jane MacFarlane (IWCTS@SIGSPATIAL, 2014)

Real-time detection and classification of traffic jams from probe data. - Bo Xu 001; Tiffany Barkley; Andrew P. Lewis; Jane MacFarlane; Davide Pietrobon; Matei Stroila (SIGSPATIAL/GIS, 2016)

Addressing the uncertainties in autonomous driving. - Jane MacFarlane; Matei Stroila (ACM SIGSPATIAL Special, 2016)

Temporal Sampling Constraints for GeoSpatial Path Reconstruction in a Transportation Network. - Jane MacFarlane; Bo Xu 001 (IWCTS@SIGSPATIAL, 2017)

Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing. - Cy P. Chan; Bin Wang; John Bachan; Jane MacFarlane (ITSC, 2018)

Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Eric Rask; Jane MacFarlane (CoRR, 2019)

Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Eric Rask; Jane MacFarlane (ICPR, 2020)

Quasi-Dynamic Traffic Assignment using High Performance Computing. - Cy P. Chan; Anu Kuncheria; Bingyu Zhao; Theophile Cabannes; Alexander Keimer; Bin Wang; Alexandre M. Bayen; Jane MacFarlane (CoRR, 2021)

Socially-Aware Evaluation Framework for Transportation. - Anu Kuncheria; Joan L. Walker; Jane MacFarlane (CoRR, 2021)

Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset. - Ammar Haydari; H. Michael Zhang; Chen-Nee Chuah; Jane MacFarlane; Sean Peisert (CoRR, 2021)

A data-centric weak supervised learning for highway traffic incident detection. - Yixuan Sun; Tanwi Mallick; Prasanna Balaprakash; Jane MacFarlane (CoRR, 2021)

A Traffic Demand Analysis Method for Urban Air Mobility. - Vishwanath Bulusu; Emin Burak Onat; Raja Sengupta 002; Pavan Yedavalli; Jane MacFarlane (IEEE Trans. Intell. Transp. Syst., 2021)

Differentially Private Map Matching for Mobility Trajectories. - Ammar Haydari; Chen-Nee Chuah; H. Michael Zhang; Jane MacFarlane; Sean Peisert (ACSAC, 2022)

Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. - Tanwi Mallick; Prasanna Balaprakash; Jane MacFarlane (CoRR, 2022)

Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. - Weiheng Zhong; Tanwi Mallick; Hadi Meidani; Jane MacFarlane; Prasanna Balaprakash (CoRR, 2022)

Graph Pyramid Autoformer for Long- Term Traffic Forecasting. - Weiheng Zhong; Tanwi Mallick; Jane MacFarlane; Hadi Meidani; Prasanna Balaprakash (ICMLA, 2023)

HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control. - Dimitrios M. Vlachogiannis; Hua Wei; Scott Moura; Jane MacFarlane (CoRR, 2023)

Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction. - Weiheng Zhong; Hadi Meidani; Jane MacFarlane (CoRR, 2023)

A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data. - Juliette Ugirumurera; Joseph Severino; Erik A. Bensen; Qichao Wang; Jane MacFarlane (CoRR, 2023)

Simulating the Impact of Dynamic Rerouting on Metropolitan-scale Traffic Systems. - Cy P. Chan; Anu Kuncheria; Jane MacFarlane (ACM Trans. Model. Comput. Simul., 2023)

Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. - Tanwi Mallick; Jane MacFarlane; Prasanna Balaprakash (IEEE Trans. Intell. Transp. Syst., 2024)