Daniel Sheldon
TitleCited byYear
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
3202012
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
1852010
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
812010
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
712012
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
712011
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
642010
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
482013
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), 25, 2015
472015
Manipulation-resistant reputations using hitting time
J Hopcroft, D Sheldon
Algorithms and Models for the Web-Graph, 68-81, 2007
462007
Collective inference on Markov models for modeling bird migration
D Sheldon, MA Elmohamed, D Kozen
Neural Information Processing Sytems (NIPS), 2007
43*2007
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
422016
Collective Graphical Models
D Sheldon, TG Dietterich
Neural Information Processing Sytems (NIPS), 2011
382011
Graphical multi-task learning
D Sheldon
372008
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
332015
Approximate Bayesian inference for reconstructing velocities of migrating birds from weather radar
D Sheldon, A Farnsworth, JW Irvine, B Van Doren, KF Webb, ...
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
332013
Approximate inference in collective graphical models
D Sheldon, T Sun, A Kumar, T Dietterich
International Conference on Machine Learning, 1004-1012, 2013
292013
The eBird Reference Dataset, Version 3.0
MA Munson, K Webb, D Sheldon, D Fink, WM Hochachka, M Iliff, ...
242009
Autumn morning flights of migrant songbirds in the northeastern United States are linked to nocturnal migration and winds aloft
BM Van Doren, D Sheldon, J Geevarghese, WM Hochachka, ...
The Auk: Ornithological Advances 132 (1), 105-118, 2015
232015
Green's functions on fractals
J Kigami, DR Sheldon, RS Strichartz
Fractals 8 (04), 385-402, 2000
232000
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
222018
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Articles 1–20