Jacob Vanderplas
Jacob Vanderplas
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
the Journal of machine Learning research 12, 2825-2830, 2011
285302011
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
12152018
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
8152013
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
7622009
SciPy 1.0: fundamental algorithms for scientific computing in Python
P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ...
Nature methods 17 (3), 261-272, 2020
6872020
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, 2014
2752014
Lsst science book, version 2.0
PA Abell, J Allison, SF Anderson, JR Andrew, JRP Angel, L Armus, ...
arXiv preprint arXiv:0912.0201, 2009
2422009
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
2112009
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
2112009
Understanding the lomb–scargle periodogram
JT VanderPlas
The Astrophysical Journal Supplement Series 236 (1), 16, 2018
1892018
Python data science handbook: Essential tools for working with data
J VanderPlas
" O'Reilly Media, Inc.", 2016
1882016
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
duchesnay E
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res 12, 2825-2830, 2010
1732010
Introduction to astroML: Machine learning for astrophysics
J VanderPlas, AJ Connolly, Ž Ivezić, A Gray
2012 conference on intelligent data understanding, 47-54, 2012
1302012
mwaskom/seaborn: v0. 8.1 (September 2017)
M Waskom, O Botvinnik, D O’Kane, P Hobson, S Lukauskas, ...
Zenodo, doi 10, 2017
1252017
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
1132010
Periodograms for multiband astronomical time series
JT VanderPlas, Ž Ivezic
The Astrophysical Journal 812 (1), 18, 2015
1122015
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
972013
mwaskom/seaborn: v0. 9.0 (July 2018)
M Waskom, O Botvinnik, D O’Kane, P Hobson, J Ostblom, S Lukauskas, ...
DOI: https://doi. org/10.5281/zenodo 1313201, 2018
772018
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
762011
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Articles 1–20