Jacob VanderPlas

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 10

Top Topics

Feature Extractors

Comparative Evaluation

Manifold Learning

Open Source Software

Top Venues

Proc. VLDB Endow.

Astron. Comput.

Publications

J. Bryce Kalmbach, Jacob VanderPlas, Andrew J. Connolly
Applying Information Theory to Design Optimal Filters for Photometric Redshifts. CoRR (2020)
Jacob VanderPlas, Brian E. Granger, Jeffrey Heer, Dominik Moritz, Kanit Wongsuphasawat, Arvind Satyanarayan, Eitan Lees, Ilia Timofeev, Ben Welsh, Scott Sievert
Altair: Interactive Statistical Visualizations for Python. J. Open Source Softw. 3 (32) (2018)
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
Journal of Open Source Software (JOSS): design and first-year review. PeerJ Comput. Sci. 4 (2018)
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. Astron. Comput. 25 (2018)
Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. CoRR (2018)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. 10 (11) (2017)
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
Journal of Open Source Software (JOSS): design and first-year review. CoRR (2017)
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
megaman: Manifold Learning with Millions of points. CoRR (2016)
James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
Megaman: Scalable Manifold Learning in Python. J. Mach. Learn. Res. 17 (2016)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR (2016)
Jacob VanderPlas, Emad Soroush, K. Simon Krughoff, Magdalena Balazinska
Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere. IEEE Data Eng. Bull. 36 (4) (2013)
Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray
Introduction to astroML: Machine learning for astrophysics. CIDU (2012)