Jacob Vanderplas
Jacob Vanderplas
Verified email at cs.washington.edu - Homepage
TitleCited byYear
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of machine learning research 12 (Oct), 2825-2830, 2011
241852011
The astropy project: building an open-science project and status of the v2. 0 core package
AM Price-Whelan, BM Sipőcz, HM Günther, PL Lim, SM Crawford, ...
The Astronomical Journal 156 (3), 123, 2018
8572018
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv preprint arXiv:1309.0238, 2013
6712013
First-year Sloan Digital Sky Survey-II supernova results: Hubble diagram and cosmological parameters
R Kessler, AC Becker, D Cinabro, J Vanderplas, JA Frieman, J Marriner, ...
The Astrophysical Journal Supplement Series 185 (1), 32, 2009
3932009
Statistics, data mining, and machine learning in astronomy: a practical Python guide for the analysis of survey data
Ž Ivezić, AJ Connolly, JT VanderPlas, A Gray
Princeton University Press, 2019
286*2019
Lsst science book, version 2.0
PA Abell, DL Burke, M Hamuy, M Nordby, TS Axelrod, D Monet, B Vrsnak, ...
2172009
Snana: A public software package for supernova analysis
R Kessler, JP Bernstein, D Cinabro, B Dilday, JA Frieman, S Jha, ...
Publications of the Astronomical Society of the Pacific 121 (883), 1028, 2009
1952009
Snana: A public software package for supernova analysis
R Kessler, JP Bernstein, D Cinabro, B Dilday, JA Frieman, S Jha, ...
Publications of the Astronomical Society of the Pacific 121 (883), 1028, 2009
1952009
First-year sloan digital sky survey-II (SDSS-II) supernova results: constraints on nonstandard cosmological models
J Sollerman, E Mörtsell, TM Davis, M Blomqvist, B Bassett, AC Becker, ...
The Astrophysical Journal 703 (2), 1374, 2009
1762009
Understanding the lomb–scargle periodogram
JT VanderPlas
The Astrophysical Journal Supplement Series 236 (1), 16, 2018
1462018
Python data science handbook: Essential tools for working with data
J VanderPlas
" O'Reilly Media, Inc.", 2016
1392016
Introduction to astroML: Machine learning for astrophysics
J VanderPlas, AJ Connolly, Ž Ivezić, A Gray
2012 conference on intelligent data understanding, 47-54, 2012
1132012
First-year Sloan Digital Sky Survey-II supernova results: consistency and constraints with other intermediate-redshift data sets
H Lampeitl, RC Nichol, HJ Seo, T Giannantonio, C Shapiro, B Bassett, ...
Monthly Notices of the Royal Astronomical Society 401 (4), 2331-2342, 2010
1102010
Periodograms for multiband astronomical time series
JT VanderPlas, Ž Ivezic
The Astrophysical Journal 812 (1), 18, 2015
1012015
seaborn: v0. 7.1 (june 2016)
M Waskom, O Botvinnik, D O’Kane, P Hobson, YH David, S Lukauskas, ...
Zenodo. doi 10, 2016
92*2016
Exploring the variable sky with LINEAR. III. Classification of periodic light curves
L Palaversa, Ž Ivezić, L Eyer, D Ruždjak, D Sudar, M Galin, A Kroflin, ...
The Astronomical Journal 146 (4), 101, 2013
922013
Hierarchical probabilistic models for group anomaly detection
L Xiong, B Póczos, J Schneider, A Connolly, J VanderPlas
Proceedings of the fourteenth international conference on artificial …, 2011
692011
Tests of modified gravity with dwarf galaxies
B Jain, J VanderPlas
Journal of Cosmology and Astroparticle Physics 2011 (10), 032, 2011
682011
Reducing the dimensionality of data: Locally linear embedding of sloan galaxy spectra
J VanderPlas, A Connolly
The Astronomical Journal 138 (5), 1365, 2009
632009
Astrophysical tests of modified gravity: the morphology and kinematics of dwarf galaxies
V Vikram, A Cabré, B Jain, JT VanderPlas
Journal of Cosmology and Astroparticle Physics 2013 (08), 020, 2013
622013
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Articles 1–20