| An investigation of practical approximate nearest neighbor algorithms T Liu, AW Moore, K Yang, AG Gray Advances in neural information processing systems, 825-832, 2005 | 519 | 2005 |
| 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 | 334* | 2019 |
| N-body'problems in statistical learning AG Gray, AW Moore Advances in neural information processing systems, 521-527, 2001 | 334 | 2001 |
| Stochastic alternating direction method of multipliers H Ouyang, N He, L Tran, A Gray International Conference on Machine Learning, 80-88, 2013 | 240 | 2013 |
| Nonparametric density estimation: Toward computational tractability AG Gray, AW Moore Proceedings of the 2003 SIAM International Conference on Data Mining, 203-211, 2003 | 212 | 2003 |
| First measurement of the clustering evolution of photometrically classified quasars AD Myers, RJ Brunner, GT Richards, RC Nichol, DP Schneider, DEV Berk, ... The Astrophysical Journal 638 (2), 622, 2006 | 204 | 2006 |
| Detecting Spammers with SNARE: Spatio-temporal Network-level Automatic Reputation Engine. S Hao, NA Syed, N Feamster, AG Gray, S Krasser USENIX security symposium 9, 2009 | 193 | 2009 |
| High redshift detection of the integrated Sachs-Wolfe effect T Giannantonio, RG Crittenden, RC Nichol, R Scranton, GT Richards, ... Physical Review D 74 (6), 063520, 2006 | 188 | 2006 |
| MLPACK: A scalable C++ machine learning library RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray Journal of Machine Learning Research 14 (Mar), 801-805, 2013 | 176 | 2013 |
| Maximum inner-product search using cone trees P Ram, AG Gray Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 135 | 2012 |
| New algorithms for efficient high-dimensional nonparametric classification T Liu, AW Moore, A Gray Journal of Machine Learning Research 7 (Jun), 1135-1158, 2006 | 127 | 2006 |
| Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines W Guan, M Zhou, CY Hampton, BB Benigno, LDE Walker, A Gray, ... BMC bioinformatics 10 (1), 259, 2009 | 117 | 2009 |
| Fast SVD for large-scale matrices M Holmes, A Gray, C Isbell Workshop on Efficient Machine Learning at NIPS 58, 249-252, 2007 | 113 | 2007 |
| The three-point correlation function of luminous red galaxies in the Sloan Digital Sky Survey GV Kulkarni, RC Nichol, RK Sheth, HJ Seo, DJ Eisenstein, A Gray Monthly Notices of the Royal Astronomical Society 378 (3), 1196-1206, 2007 | 100 | 2007 |
| Efficient photometric selection of quasars from the Sloan Digital Sky Survey. II.∼ 1, 000, 000 quasars from Data Release 6 GT Richards, AD Myers, AG Gray, RN Riegel, RC Nichol, RJ Brunner, ... The Astrophysical Journal Supplement Series 180 (1), 67, 2008 | 97 | 2008 |
| Retrofitting decision tree classifiers using kernel density estimation P Smyth, A Gray, UM Fayyad Machine Learning Proceedings 1995, 506-514, 1995 | 93 | 1995 |
| Automated design of quantum circuits CP Williams, AG Gray NASA International Conference on Quantum Computing and Quantum …, 1998 | 90 | 1998 |
| Fast euclidean minimum spanning tree: algorithm, analysis, and applications WB March, P Ram, AG Gray Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 87 | 2010 |
| Density estimation trees P Ram, AG Gray Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 86 | 2011 |
| Eight-dimensional mid-infrared/optical Bayesian quasar selection GT Richards, RP Deo, M Lacy, AD Myers, RC Nichol, NL Zakamska, ... The Astronomical Journal 137 (4), 3884, 2009 | 83 | 2009 |
