Data mining and machine learning in astronomy NM Ball, RJ Brunner International Journal of Modern Physics D 19 (07), 1049-1106, 2010 | 477 | 2010 |
The next generation Virgo cluster survey (NGVS). I. Introduction to the survey L Ferrarese, P Cote, JC Cuillandre, SDJ Gwyn, EW Peng, LA MacArthur, ... The Astrophysical Journal Supplement Series 200 (1), 4, 2012 | 463 | 2012 |
Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks NM Ball, J Loveday, M Fukugita, O Nakamura, S Okamura, J Brinkmann, ... Monthly Notices of the Royal Astronomical Society 348 (3), 1038-1046, 2004 | 190 | 2004 |
Robust machine learning applied to astronomical data sets. I. star-galaxy classification of the Sloan Digital Sky Survey DR3 using decision trees NM Ball, RJ Brunner, AD Myers, D Tcheng The Astrophysical Journal 650 (1), 497, 2006 | 141 | 2006 |
Galaxy colour, morphology and environment in the Sloan Digital Sky Survey NM Ball, J Loveday, RJ Brunner Monthly Notices of the Royal Astronomical Society 383 (3), 907-922, 2008 | 130 | 2008 |
Robust machine learning applied to astronomical data sets. iii. probabilistic photometric redshifts for galaxies and quasars in the sdss and galex NM Ball, RJ Brunner, AD Myers, NE Strand, SL Alberts, D Tcheng The Astrophysical Journal 683 (1), 12, 2008 | 122 | 2008 |
Robust machine learning applied to astronomical data sets. II. Quantifying photometric redshifts for quasars using instance-based learning NM Ball, RJ Brunner, AD Myers, NE Strand, SL Alberts, D Tcheng, X Llorà The Astrophysical Journal 663 (2), 774, 2007 | 73 | 2007 |
Bivariate galaxy luminosity functions in the Sloan Digital Sky Survey NM Ball, J Loveday, RJ Brunner, IK Baldry, J Brinkmann Monthly Notices of the Royal Astronomical Society 373 (2), 845-868, 2006 | 69 | 2006 |
Incorporating photometric redshift probability density information into real-space clustering measurements AD Myers, M White, NM Ball Monthly Notices of the Royal Astronomical Society 399 (4), 2279-2287, 2009 | 66 | 2009 |
The next generation virgo cluster survey. XV. The photometric redshift estimation for background sources A Raichoor, S Mei, T Erben, H Hildebrandt, O Ilbert, R Licitra, NM Ball, ... The Astrophysical Journal 797 (2), 102, 2014 | 48 | 2014 |
Exporting a Transformation Chain Including Endpoint of Model for Prediction A Gupta, A Gray, N Ball, S Mehta, T Gregory, T Caldwell US Patent App. 15/279,843, 2017 | 44 | 2017 |
Interoperability of Transforms Under a Unified Platform and Extensible Transformation Library of Those Interoperable Transforms A Aditya, A Gupta, A Gray, B Simmons, M Gibiansky, N Ball, S Mehta, ... US Patent App. 15/279,868, 2017 | 40 | 2017 |
CANFAR: the Canadian advanced network for astronomical research S Gaudet, N Hill, P Armstrong, N Ball, J Burke, B Chapel, E Chapin, ... Software and Cyberinfrastructure for Astronomy 7740, 577-586, 2010 | 19 | 2010 |
Morphological classification of galaxies using artificial neural networks NM Ball arXiv preprint astro-ph/0110492, 2001 | 12 | 2001 |
CANFAR+ Skytree: a cloud computing and data mining system for astronomy NM Ball arXiv preprint arXiv:1312.3996, 2013 | 7 | 2013 |
Robust machine learning applied to terascale astronomical datasets NM Ball, RJ Brunner, AD Myers arXiv preprint arXiv:0804.3417, 2008 | 7 | 2008 |
Virtualization and Grid Utilization within the CANFAR Project S Gaudet, P Armstrong, N Ball, E Chapin, P Dowler, I Gable, S Goliath, ... Astronomical Data Analysis Software and Systems XX 442, 61, 2011 | 4 | 2011 |
Astroinformatics, cloud computing, and New Science at the Canadian Astronomy Data Centre NM Ball American Astronomical Society Meeting Abstracts# 219 219, 145.11, 2012 | 3 | 2012 |
NGVS-S: A Comprehensive Spectroscopic Survey of Virgo E Peng, L Ferrarese, J Blakeslee, P Cote, P Durrell, J Huchra, C Mihos, ... NOAO Proposal, 445, 2010 | 2 | 2010 |
Canfar+ skytree: Mining massive datasets as an essential part of the future of astronomy NM Ball American Astronomical Society Meeting Abstracts# 221 221, 240.16, 2013 | 1 | 2013 |