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
15042009
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
909*2004
Information mapping with pattern classifiers: a comparative study
F Pereira, M Botvinick
Neuroimage 56 (2), 476-496, 2011
1512011
Reproducibility distinguishes conscious from nonconscious neural representations
A Schurger, F Pereira, A Treisman, JD Cohen
Science 327 (5961), 97-99, 2010
1282010
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
1052018
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
732008
The support vector decomposition machine
F Pereira, G Gordon
Proceedings of the 23rd international conference on Machine learning, 689-696, 2006
692006
Detecting significant multidimensional spatial clusters
D Neill, A Moore, F Pereira, TM Mitchell
Advances in Neural Information Processing Systems 17, 969-976, 2004
692004
Generating text from functional brain images
F Pereira, G Detre, M Botvinick
Frontiers in human neuroscience 5, 72, 2011
672011
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
64*2013
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
602016
Distinguishing grammatical constructions with fMRI pattern analysis
K Allen, F Pereira, M Botvinick, AE Goldberg
Brain and language 123 (3), 174-182, 2012
562012
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
462012
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
392000
A topographic latent source model for fMRI data
SJ Gershman, DM Blei, F Pereira, KA Norman
NeuroImage 57 (1), 89-100, 2011
352011
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
202007
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
162015
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
132018
Distributed weight consolidation: A brain segmentation case study
P McClure, CY Zheng, J Kaczmarzyk, J Rogers-Lee, S Ghosh, D Nielson, ...
Advances in Neural Information Processing Systems, 4093-4103, 2018
122018
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