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
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
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
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
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 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
Manipulation-resistant reputations using hitting time
J Hopcroft, D Sheldon
Algorithms and Models for the Web-Graph, 68-81, 2007
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
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
Collective inference on Markov models for modeling bird migration
D Sheldon, MA Elmohamed, D Kozen
Neural Information Processing Sytems (NIPS), 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
Collective Graphical Models
D Sheldon, TG Dietterich
Neural Information Processing Sytems (NIPS), 2011
Graphical multi-task learning
D Sheldon
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
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
Seasonal changes in the altitudinal distribution of nocturnally migrating birds during autumn migration
FA La Sorte, WM Hochachka, A Farnsworth, D Sheldon, BM Van Doren, ...
Royal Society open science 2 (12), 150347, 2015
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, 2014
The eBird Reference Dataset, Version 3.0
MA Munson, K Webb, D Sheldon, D Fink, WM Hochachka, M Iliff, ...
Green's functions on fractals
J Kigami, DR Sheldon, RS Strichartz
Fractals 8 (04), 385-402, 2000
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Articles 1–20