One size does not fit all: Customizing MCMC methods for hierarchical models using NIMBLE
Lauren C. Ponisio, Perry de Valpine, Nicholas Michaud, Daniel TurekEcology and Evolution
February 14, 2020
Veridical data science
Bin Yu and Karl KumbierProceedings of the National Academy of Sciences (PNAS)
February 13, 2020
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt & SciPy 1.0 ContributorsNature Methods
February 3, 2020
NumPy: A look at the past, present, and future of array computation
Ross BarnowskiMichigan Institute of Data Science (MiDAS)
January 30, 2020
#Vape: Measuring E-Cigarette Influence on Instagram With Deep Learning and Text Analysis
Julia Vassey, Catherine Metayer, Chris J. Kennedy and Todd P. WhiteheadFrontiers 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 HuangarXiv.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. MoraEnvironmental Research
December 10, 2019
Definitions, methods, and applications in interpretable machine learning
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, and Bin YuPNAS (Proceedings of the National Academy of Sciences of the United States of America)
October 16, 2019
Rapid Gamma-Ray Burst Localization aboard the e-Astrogam Satellite using a 3D Convolutional Neural Network
Ruoxi Shang, Andreas ZoglauerBayLearn: Bay Area Machine Learning Symposium
October 16, 2019
ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia
Aaron Halfaker, R. Stuart GeigerarXiv.org
September 11, 2019