Francisco Pereira
Francisco Pereira
Machine Learning Team, National Institute of Mental Health
Verified email at nih.gov - Homepage
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
13872009
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
7952004
Information mapping with pattern classifiers: a comparative study
F Pereira, M Botvinick
Neuroimage 56 (2), 476-496, 2011
1392011
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
1272003
Reproducibility distinguishes conscious from nonconscious neural representations
A Schurger, F Pereira, A Treisman, JD Cohen
Science 327 (5961), 97-99, 2010
1262010
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
692008
Detecting significant multidimensional spatial clusters
DB Neill, AW Moore, F Pereira, TM Mitchell
Advances in Neural Information Processing Systems, 969-976, 2005
692005
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
652018
The support vector decomposition machine
F Pereira, G Gordon
Proceedings of the 23rd international conference on Machine learning, 689-696, 2006
632006
Generating text from functional brain images
F Pereira, G Detre, M Botvinick
Frontiers in human neuroscience 5, 72, 2011
612011
Distinguishing grammatical constructions with fMRI pattern analysis
K Allen, F Pereira, M Botvinick, AE Goldberg
Brain and language 123 (3), 174-182, 2012
532012
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
462013
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
442016
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
422012
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
382000
A topographic latent source model for fMRI data
SJ Gershman, DM Blei, F Pereira, KA Norman
NeuroImage 57 (1), 89-100, 2011
342011
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
322006
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
192007
Learning semantic features for fMRI data from definitional text
F Pereira, M Botvinick, G Detre
Proceedings of the NAACL HLT 2010 First Workshop on Computational …, 2010
112010
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
112002
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