| Learning to decode cognitive states from brain images TM Mitchell, R Hutchinson, RS Niculescu, F Pereira, X Wang, M Just, ... Machine learning 57 (1-2), 145-175, 2004 | 829 | 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 | 367 | 2012 |
| Training fMRI classifiers to detect cognitive states across multiple human subjects X Wang, R Hutchinson, TM Mitchell Advances in neural information processing systems, 709-716, 2004 | 137 | 2004 |
| 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 | 132 | 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 | 86 | 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 | 73 | 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 | 57 | 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 | 54 | 2009 |
| 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), 2011 | 43 | 2011 |
| Reducing boundary friction using translation-fragment overlap RD Brown, R Hutchinson, PN Bennett, JG Carbonell, PJ Jansen Carnegie Mellon University, 2003 | 38 | 2003 |
| Package ‘unmarked’ I Fiske, R Chandler, D Miller, A Royle, M Kery, J Hostetler, R Hutchinson, ... R Project for Statistical Computing., 2015 | 33 | 2015 |
| 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 | 27 | 2017 |
| 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 | 19 | 2015 |
| Hidden process models RA Hutchinson, TM Mitchell, I Rustandi Proceedings of the 23rd international conference on Machine learning, 433-440, 2006 | 19 | 2006 |
| Machine learning of fMRI virtual sensors of cognitive states T Mitchell, R Hutchinson, M Just, S Newman, R Niculescu, F Periera, ... The 16th annual conference on neural information processing systems …, 2002 | 11 | 2002 |
| Models for data from unmarked animals I Fiske, R Chandler, A Royle, M K'ery, D Miller, R Hutchinson http://www. r-project. org/. Accessed January 16, 2011, 2011 | 10 | 2011 |
| Machine learning for computational sustainability. TG Dietterich, EW Dereszynski, RA Hutchinson, DR Sheldon IGCC, 1, 2012 | 9 | 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 | 8 | 2017 |
| 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 | 7 | 2019 |
| Maximal lattice overlap in example-based machine translation R Hutchinson, PN Bennett, J Carbonell, P Jansen, R Brown MT-Summit 2003, 2003 | 7 | 2003 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
