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 | 246 | 2022 |
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 & Gynecology 136 (4), 835-837, 2020 | 95 | 2020 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 92 | 2021 |
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 | 82 | 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 | 63 | 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 | 46 | 2022 |
Adversarial Intrinsic Motivation for Reinforcement Learning I Durugkar, M Tec, S Niekum, P Stone NeurIPS 2021, 2021 | 43 | 2021 |
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 | 32 | 2020 |
The impact of asymptomatic COVID-19 infections on future pandemic waves SJ Fox, R Pasco, M Tec, Z Du, M Lachmann, J Scott, LA Meyers MedRxiv, 2020.06. 22.20137489, 2020 | 22 | 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 | 20 | 2021 |
Weather2vec: Representation learning for causal inference with non-local confounding M Tec, JG Scott, CM Zigler Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14504 …, 2023 | 16 | 2023 |
Random clique covers for graphs with local density and global sparsity SA Williamson, M Tec Uncertainty in Artificial Intelligence, 228-238, 2020 | 12 | 2020 |
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, ... Robot World Cup, 62-74, 2022 | 7 | 2022 |
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 | 6 | 2022 |
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 preprint arXiv:1911.08106, 2019 | 6 | 2019 |
Austin COVID-19 transmission estimates and healthcare projections M Tec, M Lachmann, SJ Fox, R Pasco, S Woody, J Starling, M Dahan, ... | 5 | 2020 |
Simulation‐based sequential design P Müller, Y Duan, M Garcia Tec Pharmaceutical Statistics 21 (4), 729-739, 2022 | 4 | 2022 |
E (n) Equivariant Topological Neural Networks C Battiloro, E Karaismailoğlu, M Tec, G Dasoulas, M Audirac, F Dominici arXiv preprint arXiv:2405.15429, 2024 | 3 | 2024 |
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning M Tec, Y Duan, P Müller The American Statistician 77 (2), 223-233, 2023 | 3 | 2023 |
SpaCE: The Spatial Confounding Environment M Tec, A Trisovic, M Audirac, S Woodward, JK Hu, N Khoshnevis, ... ICLR 2024, 2023 | 2 | 2023 |