Rebecca Hutchinson

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Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Xuerui WangUber Technologies, Inc.Verified email at uber.com
Francisco PereiraMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Daniel SheldonUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Sharlene NewmanIndiana UniversityVerified email at indiana.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Wesley HochachkaSenior Research Associate, Lab of Ornithology, Cornell UniversityVerified email at cornell.edu
Matthew G. BettsProfessor of Landscape Ecology, Oregon State UniversityVerified email at oregonstate.edu
Kathleen L. PrudicUniversity of ArizonaVerified email at email.arizona.edu
Jeremy T. KerrUniversity Research Chair in Macroecology and Conservation, University of OttawaVerified email at uottawa.ca
Maxim LarrivéeInsectarium de MontréalVerified email at ville.montreal.qc.ca
Kent P. McFarlandVermont Center for EcostudiesVerified email at vtecostudies.org
Jun YuSnap Inc.Verified email at amazon.com
Jonathon J. ValentePostdoctoral ScholarVerified email at oregonstate.edu
J. Andrew RoyleSenior Scientist, USGS Patuxent Wildlife Research CenterVerified email at usgs.gov
Richard ChandlerUniversity of GeorgiaVerified email at warnell.uga.edu
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Jaime CarbonellProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Rebecca Hutchinson

Oregon State University

Verified email at eecs.orst.edu - Homepage

Machine Learning Ecology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	876	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	427	2012
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	142	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
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	136	2016
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	92	2013
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	67	2010
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	65	2011
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	61	2009
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	56	2017
Package ‘unmarked’ I Fiske, R Chandler, D Miller, A Royle, M Kery, J Hostetler, R Hutchinson, ... R Project for Statistical Computing, 2015	54*	2015
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	41	2021
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	26	2015
Hidden process models RA Hutchinson, TM Mitchell, I Rustandi Proceedings of the 23rd international conference on Machine learning, 433-440, 2006	17	2006
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 (5), 997-1014, 2019	15	2019
Machine learning for computational sustainability. TG Dietterich, EW Dereszynski, RA Hutchinson, D Sheldon IGCC, 1, 2012	14	2012
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	13	2017
Machine learning of fMRI virtual sensors of cognitive states T Mitchell, R Hutchinson, M Just, S Newman, R Niculescu, F Pereira, ... The 16th Annual Conference on Neural Information Processing Systems …, 2002	12	2002
Species distribution modeling of citizen science data as a classification problem with class-conditional noise R Hutchinson, L He, S Emerson Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	9	2017

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