| Data-intensive science applied to broad-scale citizen science WM Hochachka, D Fink, RA Hutchinson, D Sheldon, WK Wong, S Kelling Trends in ecology & evolution 27 (2), 130-137, 2012 | 484 | 2012 |
| Spatiotemporal exploratory models for broad‐scale survey data D Fink, WM Hochachka, B Zuckerberg, DW Winkler, B Shaby, MA Munson, ... Ecological Applications 20 (8), 2131-2147, 2010 | 278 | 2010 |
| Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ... MedRXiv, 2020.08. 19.20177493, 2020 | 211 | 2020 |
| 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 | 202 | 2022 |
| A bayesian perspective on the deep image prior Z Cheng, M Gadelha, S Maji, D Sheldon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 150 | 2019 |
| Graphical-model based estimation and inference for differential privacy R McKenna, D Sheldon, G Miklau International Conference on Machine Learning, 4435-4444, 2019 | 142 | 2019 |
| Phenology of nocturnal avian migration has shifted at the continental scale KG Horton, FA La Sorte, D Sheldon, TY Lin, K Winner, G Bernstein, S Maji, ... Nature Climate Change 10 (1), 63-68, 2020 | 138 | 2020 |
| Importance weighting and variational inference J Domke, DR Sheldon Advances in neural information processing systems 31, 2018 | 128 | 2018 |
| Elevated summer temperatures delay spawning and reduce redd construction for resident brook trout (Salvelinus fontinalis) DR Warren, JM Robinson, DC Josephson, DR Sheldon, CE Kraft Global Change Biology 18 (6), 1804-1811, 2012 | 124 | 2012 |
| Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019 | 116 | 2019 |
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| Winning the NIST Contest: A scalable and general approach to differentially private synthetic data R McKenna, G Miklau, D Sheldon arXiv preprint arXiv:2108.04978, 2021 | 94 | 2021 |
| LambdaMerge: merging the results of query reformulations D Sheldon, M Shokouhi, M Szummer, N Craswell Proceedings of the fourth ACM international conference on Web search and …, 2011 | 91 | 2011 |
| A method for measuring the relative information content of data from different monitoring protocols MA Munson, R Caruana, D Fink, WM Hochachka, M Iliff, KV Rosenberg, ... Methods in Ecology and Evolution 1 (3), 263-273, 2010 | 91 | 2010 |
| 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 | 90 | 2021 |
| Collective Graphical Models D Sheldon, TG Dietterich Neural Information Processing Sytems (NIPS), 2011 | 90 | 2011 |
| Statistical inference for home range overlap K Winner, MJ Noonan, CH Fleming, KA Olson, T Mueller, D Sheldon, ... Methods in Ecology and Evolution 9 (7), 1679-1691, 2018 | 89 | 2018 |
| A hidden Markov model for reconstructing animal paths from solar geolocation loggers using templates for light intensity E Rakhimberdiev, DW Winkler, E Bridge, NE Seavy, D Sheldon, ... Movement ecology 3, 1-15, 2015 | 85 | 2015 |
| Drivers of fatal bird collisions in an urban center BM Van Doren, DE Willard, M Hennen, KG Horton, EF Stuber, D Sheldon, ... Proceedings of the National Academy of Sciences 118 (24), e2101666118, 2021 | 78 | 2021 |
| MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks TY Lin, K Winner, G Bernstein, A Mittal, AM Dokter, KG Horton, C Nilsson, ... Methods in Ecology and Evolution 10 (11), 1908-1922, 2019 | 78 | 2019 |
