| An investigation of practical approximate nearest neighbor algorithms T Liu, A Moore, K Yang, A Gray Advances in neural information processing systems 17, 2004 | 614 | 2004 |
| 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 | 563* | 2014 |
| 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 | 384 | 2008 |
| N-Body Problems in Statistical Learning A Gray, A Moore Advances in neural information processing systems 13, 2000 | 375 | 2000 |
| Human-AI collaboration in data science: Exploring data scientists' perceptions of automated AI D Wang, JD Weisz, M Muller, P Ram, W Geyer, C Dugan, Y Tausczik, ... Proceedings of the ACM on human-computer interaction 3 (CSCW), 1-24, 2019 | 348 | 2019 |
| Stochastic alternating direction method of multipliers H Ouyang, N He, L Tran, A Gray International conference on machine learning, 80-88, 2013 | 342 | 2013 |
| Efficient photometric selection of quasars from the Sloan Digital Sky Survey: 100,000 z< 3 quasars from Data Release One GT Richards, RC Nichol, AG Gray, RJ Brunner, RH Lupton, DEV Berk, ... The Astrophysical Journal Supplement Series 155 (2), 257, 2004 | 274 | 2004 |
| Nonparametric density estimation: Toward computational tractability AG Gray, AW Moore Proceedings of the 2003 SIAM International Conference on Data Mining, 203-211, 2003 | 244 | 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 | 230 | 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 | 216 | 2009 |
| MLPACK: A scalable C++ machine learning library RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray The Journal of Machine Learning Research 14 (1), 801-805, 2013 | 215 | 2013 |
| High redshift detection of the integrated Sachs-Wolfe effect T Giannantonio, RG Crittenden, RC Nichol, R Scranton, GT Richards, ... Physical Review D—Particles, Fields, Gravitation, and Cosmology 74 (6), 063520, 2006 | 204 | 2006 |
| Maximum inner-product search using cone trees P Ram, AG Gray Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 198 | 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 | 196 | 2006 |
| Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 165 | 2020 |
| Configurable Machine Learning Method Selection and Parameter Optimization System and Method M Gibiansky, R Riegel, Y Yang, P Ram, A Gray US Patent App. 14/883,522, 2016 | 146 | 2016 |
| 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, 1-15, 2009 | 143 | 2009 |
| Fast SVD for large-scale matrices M Holmes, A Gray, C Isbell Workshop on Efficient Machine Learning at NIPS 58, 249-252, 2007 | 137 | 2007 |
| Density estimation trees P Ram, AG Gray Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 132 | 2011 |
| 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, 2020 | 128 | 2020 |
Andrew MooreDean, School of Computer Science, Carnegie MellonVerified email at cs.cmu.edu
