Daniel Sheldon
Cited by
Cited by
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
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
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
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
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
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
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
Importance weighting and variational inference
J Domke, DR Sheldon
Advances in neural information processing systems 31, 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
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
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
Collective Graphical Models
D Sheldon, TG Dietterich
Neural Information Processing Sytems (NIPS), 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
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
Graphical-model based estimation and inference for differential privacy
R McKenna, D Sheldon, G Miklau
International Conference on Machine Learning, 4435-4444, 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
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
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
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
Approximate inference in collective graphical models
D Sheldon, T Sun, A Kumar, T Dietterich
International Conference on Machine Learning, 1004-1012, 2013
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