Francisco Pereira

Cited by

	All	Since 2016
Citations	3686	1682
h-index	18	15
i10-index	23	20

420

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105

315

20042005200620072008200920102011201220132014201520162017201820192020202112 41 54 89 62 124 182 228 266 289 327 274 293 292 290 335 420 49

Co-authors

Matthew BotvinickDirector of Neuroscience Research, Team Lead in AI Research, DeepMindVerified email at google.com
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Rebecca HutchinsonOregon State UniversityVerified email at eecs.orst.edu
Xuerui WangGoogle Inc.Verified email at google.com
Sharlene NewmanIndiana UniversityVerified email at indiana.edu
Bin LouSenior Research Scientist, Siemens HealthineersVerified email at siemens.com
Samuel GershmanAssociate Professor, Harvard UniversityVerified email at fas.harvard.edu
Evelina (Ev) FedorenkoMIT, Associate ProfessorVerified email at mit.edu
Dylan NielsonNIMH National Institutes of HealthVerified email at nih.gov
Greg DetreFormerly Princeton UniversityVerified email at gregdetre.co.uk
Patrick McClureMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Samuel RitterResearch Scientist, DeepMindVerified email at google.com
Peter A. BandettiniChief, Section on Functional Imaging Methods, National Institute of Mental HealthVerified email at nih.gov
Nancy KanwisherWalter A. Rosenblith Professor of Cognitive NeuroscienceVerified email at mit.edu
Brianna PritchettMS-HCI Student, Georgia TechVerified email at gatech.edu
Adam G. ThomasData Science and Sharing Team, NIMH, National Institutes of HealthVerified email at nih.gov
Jonathan D. CohenProfessor of Psychology, Co-Director of Princeton Neuroscience Institute, Princeton UniversityVerified email at princeton.edu
Aaron SchurgerChapman UniversityVerified email at chapman.edu
Chris BakerSenior Investigator, NIMHVerified email at mail.nih.gov

Francisco Pereira

Machine Learning Team, National Institute of Mental Health

Verified email at nih.gov - Homepage

Machine Learning Brain Imaging Cognitive Neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning classifiers and fMRI: a tutorial overview F Pereira, T Mitchell, M Botvinick Neuroimage 45 (1), S199-S209, 2009	1542	2009
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	932*	2004
Information mapping with pattern classifiers: a comparative study F Pereira, M Botvinick Neuroimage 56 (2), 476-496, 2011	160	2011
Reproducibility distinguishes conscious from nonconscious neural representations A Schurger, F Pereira, A Treisman, JD Cohen Science 327 (5961), 97-99, 2010	132	2010
Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, S Gershman, N Kanwisher, ... Nature Communications 9 (963), 2018	117	2018
Closed-form supervised dimensionality reduction with generalized linear models I Rish, G Grabarnik, G Cecchi, F Pereira, GJ Gordon Proceedings of the 25th International Conference on Machine learning, 832-839, 2008	76	2008
Generating text from functional brain images F Pereira, G Detre, M Botvinick Frontiers in human neuroscience 5, 72, 2011	69	2011
The support vector decomposition machine F Pereira, G Gordon Proceedings of the 23rd international conference on Machine learning, 689-696, 2006	67	2006
Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments F Pereira, M Botvinick, G Detre Artificial intelligence 194, 240-252, 2013	66*	2013
Detecting significant multidimensional spatial clusters D Neill, A Moore, F Pereira, TM Mitchell Advances in Neural Information Processing Systems 17, 969-976, 2004	66	2004
A comparative evaluation of off-the-shelf distributed semantic representations for modelling behavioural data F Pereira, S Gershman, S Ritter, M Botvinick Cognitive neuropsychology 33 (3-4), 175-190, 2016	62	2016
Distinguishing grammatical constructions with fMRI pattern analysis K Allen, F Pereira, M Botvinick, AE Goldberg Brain and language 123 (3), 174-182, 2012	60	2012
Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects JW Bohland, S Saperstein, F Pereira, J Rapin, L Grady Frontiers in systems neuroscience 6, 78, 2012	47	2012
Concise, intelligible, and approximate profiling of multiple classes RE Valdes-Perez, F Pereira, V Pericliev International Journal of Human-Computer Studies 53 (3), 411-436, 2000	40	2000
A topographic latent source model for fMRI data SJ Gershman, DM Blei, F Pereira, KA Norman NeuroImage 57 (1), 89-100, 2011	35	2011
Exploring predictive and reproducible modeling with the single‐subject FIAC dataset X Chen, F Pereira, W Lee, S Strother, T Mitchell Human brain mapping 27 (5), 452-461, 2006	33	2006
Beyond brain blobs: machine learning classifiers as instruments for analyzing functional magnetic resonance imaging data F Pereira CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2007	20	2007
Method for creating attenuation correction maps for PET image reconstruction F Pereira, H Chopinet, JG Reisman, C Chefd'hotel US Patent 9,135,695, 2015	19	2015
Data‐driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders CJ Vaidya, X You, S Mostofsky, F Pereira, MM Berl, L Kenworthy Journal of Child Psychology and Psychiatry 61 (1), 51-61, 2020	16	2020
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings G Grand, IA Blank, F Pereira, E Fedorenko arXiv preprint arXiv:1802.01241, 2018	15	2018

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