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 | 441 | 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 | 255 | 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 | 147 | 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 | 130 | 2022 |
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 | 108 | 2012 |
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 | 106 | 2019 |
Maximizing the spread of cascades using network design D Sheldon, B Dilkina, A Elmachtoub, R Finseth, A Sabharwal, J Conrad, ... Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence …, 2010 | 102 | 2010 |
Importance weighting and variational inference J Domke, DR Sheldon Advances in neural information processing systems 31, 2018 | 96 | 2018 |
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 | 88 | 2020 |
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 | 87 | 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 | 82 | 2010 |
Collective Graphical Models D Sheldon, TG Dietterich Neural Information Processing Sytems (NIPS), 2011 | 79 | 2011 |
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 | 74 | 2019 |
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), 1-15, 2015 | 71 | 2015 |
Graphical-model based estimation and inference for differential privacy R McKenna, D Sheldon, G Miklau International Conference on Machine Learning, 4435-4444, 2019 | 68 | 2019 |
A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA A Farnsworth, BM Van Doren, WM Hochachka, D Sheldon, K Winner, ... Ecological Applications 26 (3), 752-770, 2016 | 66 | 2016 |
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 | 64 | 2018 |
Integrating information from geolocators, weather radar, and citizen science to uncover a key stopover area of an aerial insectivore AJ Laughlin, CM Taylor, DW Bradley, D Leclair, RC Clark, RD Dawson, ... The Auk 130 (2), 230-239, 2013 | 61 | 2013 |
Migration timing and its determinants for nocturnal migratory birds during autumn migration FA La Sorte, WM Hochachka, A Farnsworth, D Sheldon, D Fink, ... Journal of Animal Ecology 84 (5), 1202-1212, 2015 | 60 | 2015 |
Approximate inference in collective graphical models D Sheldon, T Sun, A Kumar, T Dietterich International Conference on Machine Learning, 1004-1012, 2013 | 60 | 2013 |