Jacob VanderPlas

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2020 J jnl
Applying Information Theory to Design Optimal Filters for Photometric Redshifts.
CoRR
J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly
2018 J jnl
Altair: Interactive Statistical Visualizations for Python.
J. Open Source Softw.
Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert
2018 J jnl
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning.
Astron. Comput.
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2018 J jnl
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning.
CoRR
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2018 J jnl
Journal of Open Source Software (JOSS): design and first-year review.
PeerJ Comput. Sci.
Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas
2017 J jnl
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
Proc. VLDB Endow.
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2017 J jnl
Journal of Open Source Software (JOSS): design and first-year review.
CoRR
Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin Mattheus Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas
2016 J jnl
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
CoRR
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2016 J jnl
Megaman: Scalable Manifold Learning in Python.
J. Mach. Learn. Res.
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
2016 J jnl
megaman: Manifold Learning with Millions of points.
CoRR
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
2013 J jnl
Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere.
IEEE Data Eng. Bull.
Jacob VanderPlas, Emad Soroush, K. Simon Krughoff, Magdalena Balazinska
2012 — conf
Introduction to astroML: Machine learning for astrophysics.
CIDU
Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray