JV
J. T. VanderPlas
astro-ph.IMastro-ph.COcs.LGcs.MSastro-ph.SRastro-ph.EPastro-ph.GAcs.DScs.SEphysics.comp-ph
On Valency
published · living versionsW_3kg8ctyu·v1 · currentpublished
The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
with The Astropy Collaboration, A. M. Price-Whelan, B. M. Sipőcz, H. M. Günther +132
1 version
W_f2gcv98u·v1published
W_mwxm5nnj·v1published
W_dwtmxhph·v1published
Preprints & journals
18 papers in the corpus · 2009–2020Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python.32094914 · Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E et al.2021 · 1,842 citationsNature methods. 2020;17(3):352
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python1907.10121v1 · Pauli Virtanen, Ralf Gommers, Travis E. Oliphant et al.2019 · 38,102 citationsNature Methods 17, 261 (2020)on Valency
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning1809.02154v1 · J. B. Cabral, B. S'anchez, F. Ramos et al.2018 · 29 citationsarXiv
The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package1801.02634v2 · A. M. Price-Whelan, B. M. Sipocz, H. M. Gunther et al.2018 · 8,131 citationsarXivon Valency
Understanding the Lomb-Scargle Periodogram1703.09824v1 · Jacob T. VanderPlas2017 · 1,255 citationsarXiv
Academia's failure to retain data scientists.28126779 · Rodríguez-Sánchez, Francisco, Marwick, Ben, Lazowska, Ed et al.2017 · 5 citationsScience (New York, N.Y.). 2017;355(6323):357-358
Frequentism and Bayesianism: A Python-driven Primer1411.5018v1 · Jake VanderPlas2014 · 75 citationsarXiv
Introduction to astroML: Machine Learning for Astrophysics1411.5039v1 · Jacob T. VanderPlas, Andrew J. Connolly, Zeljko Ivezic et al.2014 · 278 citationsarXiv
API design for machine learning software: experiences from the scikit-learn project1309.0238v1 · Lars Buitinck (ILPS), Gilles Louppe, Mathieu Blondel et al.2013 · 2,120 citationsEuropean Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases (2013)
Scikit-learn: Machine Learning in Python1201.0490v4 · Fabian Pedregosa, Gael Varoquaux, Alexandre Gramfort et al.2012 · 69,606 citationsJournal of Machine Learning Research (2011)on Valency
Classification of Stellar Spectra with LLE1110.4646v1 · Scott F. Daniel, Andrew J. Connolly, Jeff Schneider et al.2011 · 36 citationsThe Astronomical Journal, 142 (2011) 203
Tests of Modified Gravity with Dwarf Galaxies1106.0065v1 · Bhuvnesh Jain, Jake Vanderplas2011 · 70 citationsarXiv
LSST Science Book, Version 2.00912.0201v1 · LSST Science Collaborations: Paul A. Abell, Julius Allison, Scott F. Anderson et al.2009 · 905 citationsarXivon Valency
First-year Sloan Digital Sky Survey-II (SDSS-II) supernova results: consistency and constraints with other intermediate-redshift datasets0910.2193v1 · H. Lampeitl (ICG Portsmouth), R. C. Nichol, H.-J. Seo et al.2009 · 128 citationsMon.Not.Roy.Astron.Soc.401:2331-2342,2009
First-year Sloan Digital Sky Survey-II (SDSS-II) Supernova Results: Hubble Diagram and Cosmological Parameters0908.4274v1 · Richard Kessler, Andrew Becker, David Cinabro et al.2009 · 698 citationsAstrophys.J.Suppl.185:32-84,2009
First-Year Sloan Digital Sky Survey-II (SDSS-II) Supernova Results: Constraints on Non-Standard Cosmological Models0908.4276v2 · J. Sollerman, E. Mortsell, T. M. Davis et al.2009 · 183 citationsAstrophys.J.703:1374-1385,2009
SNANA: A Public Software Package for Supernova Analysis0908.4280v1 · Richard Kessler, Joseph P. Bernstein, David Cinabro et al.2009 · 328 citationsarXiv
Reducing the Dimensionality of Data: Locally Linear Embedding of Sloan Galaxy Spectra0907.2238v1 · J. T. VanderPlas, A. J. Connolly2009 · 65 citationsarXiv
Career total: 44 works. 18 are in this corpus.
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