| Polygenic modeling with Bayesian sparse linear mixed models X Zhou, P Carbonetto, M Stephens PLoS genetics 9 (2), e1003264, 2013 | 614 | 2013 |
| A statistical model for general contextual object recognition P Carbonetto, N de Freitas, K Barnard 8th European Conference on Computer Vision, 350-362, 2004 | 352 | 2004 |
| Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies P Carbonetto, M Stephens Bayesian analysis 7 (1), 73-108, 2012 | 237 | 2012 |
| Genetic background limits generalizability of genotype-phenotype relationships L Sittig, P Carbonetto, K Engel, K Krauss, C Barrios-Camacho, A Palmer Neuron 91, 1253-1259, 2016 | 157 | 2016 |
| Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions SM Urbut, G Wang, P Carbonetto, M Stephens Nature genetics 51 (1), 187-195, 2019 | 95 | 2019 |
| Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice CC Parker, S Gopalakrishnan, P Carbonetto, NM Gonzales, E Leung, ... Nature Genetics, 2016 | 89 | 2016 |
| A simple new approach to variable selection in regression, with application to genetic fine mapping G Wang, A Sarkar, P Carbonetto, M Stephens Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020 | 83 | 2020 |
| Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine … P Carbonetto, M Stephens PLoS genetics 9 (10), e1003770, 2013 | 81 | 2013 |
| Clustering of 770,000 genomes reveals post-colonial population structure of North America E Han, P Carbonetto, RE Curtis, Y Wang, JM Granka, J Byrnes, K Noto, ... Nature Communications 8, 14238, 2017 | 78 | 2017 |
| Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination LF Pallares, P Carbonetto, S Gopalakrishnan, CC Parker, ... PLoS Genetics 11 (11), e1005607, 2015 | 61 | 2015 |
| Learning to recognize objects with little supervision P Carbonetto, G Dorkó, C Schmid, H Kück, N De Freitas International Journal of Computer Vision 77 (1), 219-237, 2008 | 61 | 2008 |
| Methods for alleviating symptoms associated with neuropathic conditions comprising administration of low levels of antibodies J McMichael US Patent 6,713,058, 2004 | 43* | 2004 |
| High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice C Parker, P Carbonetto, G Sokoloff, Y Park, M Abney, A Palmer Genetics 198, 103-116, 2014 | 40 | 2014 |
| Nonparametric Bayesian logic P Carbonetto, J Kisynski, N de Freitas, DL Poole 21st Conference on Uncertainty in Artificial Intelligence, 85-93, 2005 | 38* | 2005 |
| Bayesian feature weighting for unsupervised learning, with application to object recognition P Carbonetto, N De Freitas, P Gustafson, N Thompson Artificial Intelligence and Statistics, 2003 | 36 | 2003 |
| A constrained semi-supervised learning approach to data association H Kück, P Carbonetto, N de Freitas 8th European Conference on Computer Vision, 1-12, 2004 | 31 | 2004 |
| A Stochastic approximation method for inference in probabilistic graphical models. P Carbonetto, M King, F Hamze Neural Information Processing Systems 23, 216-224, 2009 | 26 | 2009 |
| Why can't José read?-The problem of learning semantic associations in a robot environment P Carbonetto, N De Freitas NAACL Human Language Technology Conference Workshop on Learning Word Meaning …, 2003 | 26 | 2003 |
| An interior-point stochastic approximation method and an L1-regularized delta rule. P Carbonetto, MW Schmidt, N De Freitas Neural Information Processing Systems 22, 233-240, 2008 | 19 | 2008 |
| A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues P Carbonetto, G Dorko, C Schmid, H Kuck, N Freitas Lecture Notes in Computer Science 4170, 277-300, 2006 | 19 | 2006 |
Matthew StephensUniversity of ChicagoVerified email at uchicago.edu
