| Rates of convergence for random forests via generalized U-statistics W Peng, T Coleman, L Mentch Electronic Journal of Statistics 16 (1), 232-292, 2022 | 63* | 2022 |
| Scalable and efficient hypothesis testing with random forests T Coleman, W Peng, L Mentch Journal of Machine Learning Research 23 (170), 1-35, 2022 | 28 | 2022 |
| Physiological sleep measures predict time to 15‐year mortality in community adults: application of a novel machine learning framework ML Wallace, TS Coleman, LK Mentch, DJ Buysse, JL Graves, EW Hagen, ... Journal of sleep research 30 (6), e13386, 2021 | 14 | 2021 |
| Statistical inference on tree swallow migrations with random forests T Coleman, L Mentch, D Fink, FA La Sorte, DW Winkler, G Hooker, ... Journal of the Royal Statistical Society Series C: Applied Statistics 69 (4 …, 2020 | 13* | 2020 |
| Operational nowcasting of electron flux levels in the outer zone of Earth's radiation belt T Coleman, JP McCollough, S Young, EJ Rigler Space weather 16 (5), 501-518, 2018 | 11 | 2018 |
| Gesture interactive wearable spatial audio system T Coleman, S Marti, D Di Censo US Patent 10,585,486, 2020 | 10 | 2020 |
| Prolonged influence of urbanization on landslide susceptibility T Rohan, E Shelef, B Mirus, T Coleman Landslides 20 (7), 1433-1447, 2023 | 6 | 2023 |
| Forecasting hurricane‐related power outages via locally optimized random forests T Coleman, MF Dorn, K Kaufeld, L Mentch Stat 10 (1), e346, 2021 | 6* | 2021 |
| Sensitivity of Erosion‐Rate in Permafrost Landscapes to Changing Climatic and Environmental Conditions Based on Lake Sediments From Northwestern Alaska E Shelef, M Griffore, S Mark, T Coleman, N Wondolowski, GE Lasher, ... Earth's Future 10 (8), e2022EF002779, 2022 | 3 | 2022 |
| Advancing Inference in Supervised Learning Procedures via Permutation Tests and Importance Sampling, with Applications to Environmental Science T Coleman University of Pittsburgh, 2021 | | 2021 |
