David Wolfson

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Mikey TabakQuantitative Science Consulting, LLC (QSC)Verified email at uwyo.edu
Ryan S. MillerEcologist, USDA Centers for Epidemiology and Animal HealthVerified email at aphis.usda.gov
Kurt VercauterenResearch Wildlife BiologistVerified email at aphis.usda.gov
Peter E SchlichtingIllinois Department of Natural ResourcesVerified email at illinois.gov
Mohammad (Arash) Norouzzadeh, Ph....Sr. Research Scientist, Bosch Center for Artificial IntelligenceVerified email at uwyo.edu
Nathan P. SnowUSDA/APHIS/WS National Wildlife Research CenterVerified email at aphis.usda.gov
Raoul Keith BoughtonThe Mosaic Company - Lead EcologistVerified email at mosaicco.com
Jesse LewisAssociate Professor, Arizona State UniversityVerified email at asu.edu
John FiebergUniversity of MinnesotaVerified email at umn.edu
Jake Ivan - DNRColorado Parks & WildlifeVerified email at state.co.us
Anna K. MoellerOklahoma State UniversityVerified email at okstate.edu
Elizabeth G. MandevilleNorthern Michigan UniversityVerified email at nmu.edu
David E. AndersenLeader, Minnesota Cooperative Fish and Wildlife Research UnitVerified email at umn.edu
James BeasleyUniversity of Georgia, Savannah River Ecology Lab, Warnell School of Forestry and Natural ResourcesVerified email at srel.uga.edu
Jeff CluneCS Assoc. Professor, U. British Columbia; CIFAR AI Chair, Vector; Senior Research Advisor, DeepMindVerified email at ubc.ca
Ryan BrookProfessor in Animal and Poultry Science, University of SaskatchewanVerified email at usask.ca
Paul M LukacsWildlife Biology Program, University of MontanaVerified email at umontana.edu
Amy J. DavisNational Wildlife Research CenterVerified email at usda.gov
Jennifer StengleinWisconsin Department of Natural ResourcesVerified email at wisconsin.gov
Fabiola Iannarilli, PhDMarie Skłodowska-Curie Postdoctoral Fellow Department of Migration Max Planck Institute of AnimalVerified email at ab.mpg.de

David Wolfson

PhD candidate at University of Minnesota

Verified email at umn.edu - Homepage


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Machine learning to classify animal species in camera trap images: Applications in ecology MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC VerCauteren, ... Methods in Ecology and Evolution 10 (4), 585-590, 2019	419	2019
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 MA Tabak, MS Norouzzadeh, DW Wolfson, EJ Newton, RK Boughton, ... Ecology and evolution 10 (19), 10374-10383, 2020	49	2020
Juvenile Sandhill Cranes Exhibit Wider Ranging and More Exploratory Movements Than Adults During the Breeding Season DW Wolfson, JR Fieberg, DE Andersen Ibis, 2019	24	2019
Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species KM Pepin, DW Wolfson, RS Miller, MA Tabak, NP Snow, KC VerCauteren, ... Ecosphere 10 (3), e02657, 2019	16	2019
Range overlap between mid‐continent and Eastern sandhill cranes revealed by GPS‐tracking D Wolfson, J Fieberg, JS Lawrence, TR Cooper, DE Andersen Wildlife Society Bulletin 41 (3), 489-498, 2017	13	2017
Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology E Gould, HS Fraser, TH Parker, S Nakagawa, SC Griffith, PA Vesk, ... EcoEvoRxiv, 2023	9	2023
Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets D Wolfson, J Fieberg, DE Andersen Journal of Animal Ecology 91, 1755-1769, 2022	7	2022
Machine learning to classify animal species in camera trap images: applications in ecology. Methods in Ecology and Evolution, 10: 585-590 MA Tabak, MS Norouzzadeh, DW Wolfson, SJ Sweeney, KC Vercauteren, ...	5	2019
Identifying signals of memory from observations of animal movements in Plato's cave D Kim, P Thompson, D Wolfson, J Merkle, LGR Oliveira-Santos, J Forester, ... bioRxiv, 2023.08. 15.553411, 2023	3	2023
Modelling individual variability in habitat selection and movement using integrated step‐selection analysis N Chatterjee, D Wolfson, D Kim, J Velez, S Freeman, NM Bacheler, ... Methods in Ecology and Evolution, 2023	2	2023
Data and R Code Supporting: "Juvenile Sandhill Cranes Exhibit Wider Ranging and More Exploratory Movements Than Adults During the Breeding Season" D Wolfson https://doi.org/10.13020/D6BH7B, 2019	2	2019
Migratory ecology and movement patterns of mid-continent and eastern sandhill cranes DW Wolfson University of Minnesota, 2018	2	2018
Data, R Code, and Output Supporting: Range Overlap between Mid-Continent and Eastern Sandhill Cranes revealed by GPS-tracking. DW Wolfson, JR Fieberg, JS Lawrence, TR Cooper, DE Andersen University of Minnesota Digital Conservancy, 2017	2	2017
Pituophis catenifer sayi (bullsnake). Nesting JB Iverson, SM Muhrer, MM Nardi, DW Wolfson Herpetological Review 38, 92, 2007	2	2007
R Code and Output Supporting: Modeling individual variability in habitat selection and movement using integrated step-selection analyses N Chatterjee, D Wolfson, D Kim, J Velez, S Freeman, N Bacheler, ...	1	2024
Data and R code supporting: Using Piecewise Regression to Identify Biological Phenomena in Biotelemetry Datasets DW Wolfson, DE Andersen, JR Fieberg	1	2022
Comparison of daily activity patterns across seasons using GPS telemetry and camera trap data for a widespread mammal DW Wolfson, PE Schlichting, RK Boughton, RS Miller, KC VerCauteren, ... Ecosphere 14 (12), e4728, 2023		2023
Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America RS Miller, MA Tabak, DW Wolfson, CL Burdett Biological Invasions 25 (8), 2461-2476, 2023		2023
Sandhill crane colt survival in Minnesota WJ Severud, DW Wolfson, J Fieberg, DE Andersen Journal of Fish and Wildlife Management, 2022		2022
Transient population dynamics drive the spread of invasive wild pigs in North America RS Miller, MA Tabak, CL Burdett, DW Wolfson bioRxiv, 2021.08. 30.458238, 2021		2021

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