Reliable Least-Time Path Estimation and Computation in Stochastic Time-Varying Networks with Spatio-Temporal Dependencies. - Monika Filipovska; Hani S. Mahmassani (ITSC, 2020)

Anticipatory Fleet Repositioning for Shared-use Autonomous Mobility Services: An Optimization and Learning-Based Approach. - Monika Filipovska; Michael Hyland; Haimanti Bala (CoRR, 2022)

Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach. - Bin Lei; Shaoyi Huang; Caiwen Ding; Monika Filipovska (CoRR, 2022)

Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach. - Syed Islam; Monika Filipovska (CoRR, 2023)

Spatio-Temporal Characterization of Stochastic Dynamic Transportation Networks. - Monika Filipovska; Hani S. Mahmassani (IEEE Trans. Intell. Transp. Syst., 2023)

Physics-Informed Bayesian Deep Learning for Traffic State Estimation and Uncertainty Quantification. - Archie J. Huang; Monika Filipovska (ITSC, 2024)