Rebecca Hutchinson

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Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerificeret mail på cs.cmu.edu
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityVerificeret mail på eecs.oregonstate.edu
Xuerui WangUber Technologies, Inc.Verificeret mail på uber.com
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerificeret mail på cmu.edu
Francisco PereiraMachine Learning Core, National Institute of Mental HealthVerificeret mail på nih.gov
Sharlene NewmanIndiana UniversityVerificeret mail på indiana.edu
Daniel SheldonUniversity of Massachusetts AmherstVerificeret mail på cs.umass.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerificeret mail på cs.orst.edu
Wesley HochachkaSenior Research Associate, Lab of Ornithology, Cornell UniversityVerificeret mail på cornell.edu
Jeremy T. KerrUniversity Research Chair in Macroecology and Conservation, University of OttawaVerificeret mail på uottawa.ca
Maxim LarrivéeInsectarium de MontréalVerificeret mail på ville.montreal.qc.ca
Kent P. McFarlandVermont Center for EcostudiesVerificeret mail på vtecostudies.org
Matthew G. BettsProfessor of Landscape Ecology, Oregon State UniversityVerificeret mail på oregonstate.edu
Tyler A HallmanBangor UniversityVerificeret mail på bangor.ac.uk
W. Douglas RobinsonProfessor of Wildlife Science, Oregon State UniversityVerificeret mail på oregonstate.edu
Jun YuSnap Inc.Verificeret mail på amazon.com
Kathleen L. PrudicUniversity of ArizonaVerificeret mail på email.arizona.edu
Eugene SeoOregon State UniversityVerificeret mail på oregonstate.edu
Jonathon J. ValenteU.S. Geological SurveyVerificeret mail på auburn.edu
Xiao FuAssociate Professor, EECS, Oregon State UniversityVerificeret mail på oregonstate.edu

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Rebecca Hutchinson

Oregon State University

Verificeret mail på eecs.orst.edu - Startside

Machine Learning Ecology


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Learning to decode cognitive states from brain images TM Mitchell, R Hutchinson, RS Niculescu, F Pereira, X Wang, M Just, ... Machine learning 57 (1), 145-175, 2004	919	2004
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	491	2012
The macroecology of infectious diseases: A new perspective on global‐scale drivers of pathogen distributions and impacts PR Stephens, S Altizer, KF Smith, A Alonso Aguirre, JH Brown, ... Ecology letters 19 (9), 1159-1171, 2016	172	2016
Global COVID-19 lockdown highlights humans as both threats and custodians of the environment AE Bates, RB Primack, BS Biggar, TJ Bird, ME Clinton, RJ Command, ... Biological conservation 263, 109175, 2021	157	2021
Classifying instantaneous cognitive states from fMRI data TM Mitchell, R Hutchinson, MA Just, RS Niculescu, F Pereira, X Wang AMIA annual symposium proceedings 2003, 465, 2003	145	2003
Training fMRI classifiers to detect cognitive states across multiple human subjects X Wang, R Hutchinson, TM Mitchell Advances in neural information processing systems 16, 2003	139	2003
Species distribution modelling for the people: unclassified landsat TM imagery predicts bird occurrence at fine resolutions SM Shirley, Z Yang, RA Hutchinson, JD Alexander, K McGarigal, MG Betts Diversity and Distributions 19 (7), 855-866, 2013	112	2013
eButterfly: leveraging massive online citizen science for butterfly conservation KL Prudic, KP McFarland, JC Oliver, RA Hutchinson, EC Long, JT Kerr, ... Insects 8 (2), 53, 2017	105	2017
Implications of connected and automated vehicles on the safety and operations of roadway networks: A final report KM Kockelman, P Avery, P Bansal, SD Boyles, P Bujanovic, T Choudhary, ...	86	2016
Incorporating boosted regression trees into ecological latent variable models R Hutchinson, LP Liu, T Dietterich Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1343-1348, 2011	76	2011
Modeling experts and novices in citizen science data for species distribution modeling J Yu, WK Wong, RA Hutchinson 2010 IEEE International Conference on Data Mining, 1157-1162, 2010	74	2010
Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models RA Hutchinson, RS Niculescu, TA Keller, I Rustandi, TM Mitchell NeuroImage 46 (1), 87-104, 2009	64	2009
Package ‘unmarked’ I Fiske, R Chandler, D Miller, A Royle, M Kery, J Hostetler, R Hutchinson, ... R Project for Statistical Computing, 2015	56*	2015
An assessment of autonomous vehicles: traffic impacts and infrastructure needs K Kockelman, S Boyles, P Stone, D Fagnant, R Patel, MW Levin, ... University of Texas at Austin. Center for Transportation Research, 2017	39	2017
Reducing boundary friction using translation-fragment overlap RD Brown, R Hutchinson, P Bennett, JG Carbonell, P Jansen Proceedings of Machine Translation Summit IX: Papers, 2003	38	2003
Penalized likelihood methods improve parameter estimates in occupancy models RA Hutchinson, JJ Valente, SC Emerson, MG Betts, TG Dietterich Methods in Ecology and Evolution 6 (8), 949-959, 2015	36	2015
Machine learning applications for chemical fingerprinting and environmental source tracking using non-target chemical data E Dávila-Santiago, C Shi, G Mahadwar, B Medeghini, L Insinga, ... Environmental Science & Technology 56 (7), 4080-4090, 2022	32	2022
Landscape patterns and diversity of meadow plants and flower-visitors in a mountain landscape JA Jones, R Hutchinson, A Moldenke, V Pfeiffer, E Helderop, E Thomas, ... Landscape Ecology 34, 997-1014, 2019	21	2019
Benchmark bird surveys help quantify counting accuracy in a citizen-science database WD Robinson, TA Hallman, RA Hutchinson Frontiers in Ecology and Evolution 9, 568278, 2021	19	2021
Distinguishing distribution dynamics from temporary emigration using dynamic occupancy models JJ Valente, RA Hutchinson, MG Betts Methods in Ecology and Evolution 8 (12), 1707-1716, 2017	18	2017

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