Publications

#Vape: Measuring E-Cigarette Influence on Instagram With Deep Learning and Text Analysis

Julia Vassey, Catherine Metayer, Chris J. Kennedy and Todd P. Whitehead
Frontiers in Communication
January 22, 2020

Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?

R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang
arXiv.org
December 17, 2019

Early immune stimulation and childhood acute lymphoblastic leukemia in Costa Rica: A comparison of statistical approaches

Sophia Colombari Figueroa, Chris J. Kennedy, Catharina Wesseling, Joseph M. Wiemels, Libby Morimoto, Ana M. Mora
Environmental Research
December 10, 2019

Definitions, methods, and applications in interpretable machine learning

W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, and Bin Yu
PNAS (Proceedings of the National Academy of Sciences of the United States of America)
October 16, 2019

ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia

Aaron Halfaker, R. Stuart Geiger
arXiv.org
September 11, 2019

The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality

Fatma Deniz, Anwar O. Nunez-Elizalde, Alexander G. Huth and Jack L. Gallant
Journal of Neuroscience
August 19, 2019

Human Health and the Social Cost of Carbon: A Primer and Call to Action

Noah Scovronick, Váleri N. Vásquez, Frank Errickson, Francis Dennig, Antonio Gasparrini, Shakoor Hajat, Dean Spears, Mark B. Budolfson
Epidemiology
August 15, 2019

Multivariate GWAS: Generalized Linear Models, Prior Weights, and Double Sparsity

Benjamin B. Chu, Kevin L. Keys, Janet S. Sinsheimer, Kenneth Lange
bioRxiv
July 11, 2019

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