| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 150 | 2022 |
| Projections for first-wave COVID-19 deaths across the US using social-distancing measures derived from mobile phones S Woody, M Tec, M Dahan, K Gaither, M Lachmann, SJ Fox, LA Meyers, ... Medrxiv, 2020.04. 16.20068163, 2020 | 77 | 2020 |
| Demand for self-managed online telemedicine abortion in the United States during the coronavirus disease 2019 (COVID-19) pandemic ARA Aiken, JE Starling, R Gomperts, M Tec, JG Scott, CE Aiken Obstetrics and gynecology 136 (4), 835, 2020 | 68 | 2020 |
| Evaluation of ride-sourcing search frictions and driver productivity: A spatial denoising approach N Zuniga-Garcia, M Tec, JG Scott, N Ruiz-Juri, RB Machemehl Transportation Research Part C: Emerging Technologies 110, 346-367, 2020 | 24 | 2020 |
| The impact of asymptomatic COVID-19 infections on future pandemic waves. SJ Fox, R Pasco, M Tec, Z Du, M Lachmann, J Scott medRxiv. 2020. https://www.medrxiv.org/content/10.1101/2020.06.22.20137489v1, 2020 | 22 | 2020 |
| Evaluation of e-scooters as transit last-mile solution N Zuniga-Garcia, M Tec, JG Scott, RB Machemehl Transportation research part C: emerging technologies 139, 103660, 2022 | 21 | 2022 |
| Real-time pandemic surveillance using hospital admissions and mobility data SJ Fox, M Lachmann, M Tec, R Pasco, S Woody, Z Du, X Wang, TA Ingle, ... Proceedings of the National Academy of Sciences 119 (7), e2111870119, 2022 | 19 | 2022 |
| Adversarial Intrinsic Motivation for Reinforcement Learning I Durugkar, M Tec, S Niekum, P Stone NeurIPS 2021, 2021 | 12 | 2021 |
| Random clique covers for graphs with local density and global sparsity SA Williamson, M Tec Uncertainty in Artificial Intelligence, 228-238, 2020 | 9 | 2020 |
| Watch Where You’re Going! Gaze and Head Orientation as Predictors for Social Robot Navigation B Holman, A Anwar, A Singh, M Tec, J Hart, P Stone 2021 International Conference on Robotics and Automation (ICRA), 2021 | 6 | 2021 |
| How Likely are Ride-share Drivers to Earn a Living Wage? Large-scale Spatio-temporal Density Smoothing with the Graph-fused Elastic Net M Tec, N Zuniga-Garcia, RB Machemehl, JG Scott arXiv:1911.08106, 2020 | 5* | 2020 |
| Impact of the Timing of Stay-at-Home Orders and Mobility Reductions on First-Wave COVID-19 Deaths in US Counties M Audirac, M Tec, LA Meyers, S Fox, C Zigler American Journal of Epidemiology 191 (5), 900-907, 2022 | 4* | 2022 |
| Austin COVID-19 transmission estimates and healthcare projections M Tec, M Lachmann, SJ Fox, R Pasco, S Woody, J Starling, M Dahan, ... Technical Report. UT COVID-19 Modeling Consortium, 2020 | 4 | 2020 |
| Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies M Tec, J Scott, C Zigler arXiv preprint arXiv:2209.12316, 2022 | 3 | 2022 |
| Texas Trauma Service Area (TSA) COVID-19 transmission estimates and healthcare projections: Oct. 20 Update M Lachmann, SJ Fox, M Tec, R Pasco, Z Du, S Woody, M Dahan, ... Technical Report. UT COVID-19 Modeling Consortium, 2020 | 2 | 2020 |
| A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning M Tec, Y Duan, P Müller The American Statistician 77 (2), 223-233, 2023 | 1 | 2023 |
| Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer SK Narayanaswami, M Tec, I Durugkar, S Desai, B Masetty, S Narvekar, ... RoboCup 2022: Robot World Cup XXV, 62-74, 2023 | 1 | 2023 |
| Targeted active learning for probabilistic models C Tosh, M Tec, W Tansey arXiv preprint arXiv:2210.12122, 2022 | 1 | 2022 |
| Simulation‐based sequential design P Müller, Y Duan, M Garcia Tec Pharmaceutical Statistics 21 (4), 729-739, 2022 | 1 | 2022 |
| Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US M Tec, O Mudele, K Josey, F Dominici arXiv preprint arXiv:2302.02560, 2023 | | 2023 |
James G. ScottProfessor of Statistics and Data Science, University of Texas at AustinVerified email at mccombs.utexas.edu
