Daniel Sheldon
Daniel Sheldon
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.umass.edu - Kotisivu
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
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
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
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
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
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
Importance weighting and variational inference
J Domke, D Sheldon
arXiv preprint arXiv:1808.09034, 2018
Approximate inference in collective graphical models
D Sheldon, T Sun, A Kumar, T Dietterich
International Conference on Machine Learning, 1004-1012, 2013
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
Manipulation-resistant reputations using hitting time
J Hopcroft, D Sheldon
Algorithms and Models for the Web-Graph, 68-81, 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
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
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
Collective inference on Markov models for modeling bird migration
D Sheldon, MA Elmohamed, D Kozen
Neural Information Processing Sytems (NIPS), 2007
Graphical multi-task learning
D Sheldon
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
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20