| An investigation of practical approximate nearest neighbor algorithms T Liu, A Moore, K Yang, A Gray Advances in neural information processing systems 17, 2004 | 586 | 2004 |
| Statistics, data mining, and machine learning in astronomy Ž Ivezić, AJ Connolly, JT VanderPlas, A Gray Statistics, Data Mining, and Machine Learning in Astronomy, 2014 | 574* | 2014 |
| N-Body Problems in Statistical Learning A Gray, A Moore Advances in neural information processing systems 13, 2000 | 363 | 2000 |
| Stochastic alternating direction method of multipliers H Ouyang, N He, L Tran, A Gray International conference on machine learning, 80-88, 2013 | 319 | 2013 |
| Nonparametric density estimation: Toward computational tractability AG Gray, AW Moore Proceedings of the 2003 SIAM International Conference on Data Mining, 203-211, 2003 | 239 | 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 | 220 | 2006 |
| 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 | 213 | 2019 |
| 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 | 213 | 2013 |
| 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 | 211 | 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 | 201 | 2006 |
| Maximum inner-product search using cone trees P Ram, AG Gray Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 185 | 2012 |
| 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 | 169 | 2008 |
| New algorithms for efficient high dimensional non-parametric classification A Moore, A Gray Advances in Neural Information Processing Systems 16, 2003 | 165 | 2003 |
| Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines W Guan, M Zhou, CY Hampton, BB Benigno, L Walker, A Gray, ... BMC bioinformatics 10 (1), 1-15, 2009 | 137 | 2009 |
| Fast SVD for large-scale matrices M Holmes, A Gray, C Isbell Workshop on Efficient Machine Learning at NIPS 58, 249-252, 2007 | 124 | 2007 |
| 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 | 117 | 2010 |
| Density estimation trees P Ram, AG Gray Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 115 | 2011 |
| 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 | 107 | 2007 |
| Retrofitting decision tree classifiers using kernel density estimation P Smyth, A Gray, UM Fayyad Machine Learning Proceedings 1995, 506-514, 1995 | 107 | 1995 |
| Logical neural networks R Riegel, A Gray, F Luus, N Khan, N Makondo, IY Akhalwaya, H Qian, ... arXiv preprint arXiv:2006.13155, 2020 | 105 | 2020 |
Andrew MooreDean, School of Computer Science, Carnegie MellonПотвърден имейл адрес: cs.cmu.edu
