| Predicting real-time surge pricing of ride-sourcing companies M Battifarano, ZS Qian Transportation Research Part C: Emerging Technologies 107, 444-462, 2019 | 73 | 2019 |
| Distinguishing Engineered TiO2 Nanomaterials from Natural Ti Nanomaterials in Soil Using spICP-TOFMS and Machine Learning GD Bland, M Battifarano, AE Pradas del Real, G Sarret, GV Lowry Environmental Science & Technology 56 (5), 2990-3001, 2022 | 38 | 2022 |
| Shared sensory estimates for human motion perception and pursuit eye movements T Mukherjee, M Battifarano, C Simoncini, LC Osborne Journal of Neuroscience 35 (22), 8515-8530, 2015 | 27 | 2015 |
| Single-particle metal fingerprint analysis and machine learning pipeline for source apportionment of metal-containing fine particles in air GD Bland, M Battifarano, Q Liu, X Yang, D Lu, G Jiang, GV Lowry Environmental Science & Technology Letters 10 (11), 1023-1029, 2022 | 20 | 2022 |
| Estimating network flow and travel behavior using day-to-day system-level data: A computational graph approach P Guarda, M Battifarano, S Qian Transportation Research Part C: Emerging Technologies 158, 104409, 2024 | 11 | 2024 |
| The impact of optimized fleets in transportation networks M Battifarano, S Qian Transportation Science 57 (4), 1047-1068, 2023 | 7 | 2023 |
| Predicting Future Machine Failure from Machine State Using Logistic Regression M Battifarano, D DeSmet, A Madabhushi, P Nabar arXiv preprint arXiv:1804.06022, 2018 | 5 | 2018 |
| Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns M Battifarano, S Qian Transportation Research Part C: Emerging Technologies 151, 104118, 2023 | 2 | 2023 |
| System-level impact and behavior of coordinated vehicle fleets in transportation networks M Battifarano Carnegie Mellon University, 2022 | | 2022 |
| Predicting Real-Time Surge Pricing of Ride-Hailing Companies M Battifarano, ZS Qian Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| TRB 2018 Notes M Battifarano | | 2018 |
| Number of pages: 31 Number of figures: 22 Number of tables: 5 GD Bland, M Battifarano, AEP del Real, G Sarret, GV Lowry | | |