| 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 | 389 | 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 | 218 | 2010 |
| 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 | 96 | 2010 |
| 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 | 86 | 2012 |
| 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 | 78 | 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 | 75 | 2010 |
| Collective Graphical Models D Sheldon, TG Dietterich Neural Information Processing Sytems (NIPS), 2011 | 62 | 2011 |
| 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 | 57 | 2015 |
| 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 | 54 | 2013 |
| 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 | 50 | 2016 |
| Approximate inference in collective graphical models D Sheldon, T Sun, A Kumar, T Dietterich International Conference on Machine Learning, 1004-1012, 2013 | 49 | 2013 |
| Importance weighting and variational inference J Domke, D Sheldon arXiv preprint arXiv:1808.09034, 2018 | 48 | 2018 |
| Manipulation-resistant reputations using hitting time J Hopcroft, D Sheldon Algorithms and Models for the Web-Graph, 68-81, 2007 | 48 | 2007 |
| Approximate Bayesian inference for reconstructing velocities of migrating birds from weather radar D Sheldon, A Farnsworth, J Irvine, B Van Doren, K Webb, T Dietterich, ... Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 2013 | 44 | 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 | 43 | 2015 |
| 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 | 39 | 2020 |
| 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 | 39 | 2019 |
| Collective inference on Markov models for modeling bird migration D Sheldon, MA Elmohamed, D Kozen Neural Information Processing Sytems (NIPS), 2007 | 38 | 2007 |
| Graphical multi-task learning D Sheldon | 36 | 2008 |
| Navigating north: how body mass and winds shape avian flight behaviours across a North American migratory flyway KG Horton, BM Van Doren, FA La Sorte, D Fink, D Sheldon, A Farnsworth, ... Ecology letters 21 (7), 1055-1064, 2018 | 30 | 2018 |
