| Prediction of central nervous system embryonal tumour outcome based on gene expression SL Pomeroy, P Tamayo, M Gaasenbeek, LM Sturla, M Angelo, ... Nature 415 (6870), 436-442, 2002 | 2855 | 2002 |
| Multiclass cancer diagnosis using tumor gene expression signatures S Ramaswamy, P Tamayo, R Rifkin, S Mukherjee, CH Yeang, M Angelo, ... Proceedings of the National Academy of Sciences 98 (26), 15149-15154, 2001 | 2605 | 2001 |
| In defense of one-vs-all classification R Rifkin, A Klautau The Journal of Machine Learning Research 5, 101-141, 2004 | 2568 | 2004 |
| Regularized least-squares classification R Rifkin, G Yeo, T Poggio Nato Science Series Sub Series III Computer and Systems Sciences 190, 131-154, 2003 | 551 | 2003 |
| Molecular classification of multiple tumor types CH Yeang, S Ramaswamy, P Tamayo, S Mukherjee, RM Rifkin, M Angelo, ... ISMB (Supplement of Bioinformatics) 2001, 316-322, 2001 | 396 | 2001 |
| General conditions for predictivity in learning theory T Poggio, R Rifkin, S Mukherjee, P Niyogi Nature 428 (6981), 419-422, 2004 | 374 | 2004 |
| Estimating dataset size requirements for classifying DNA microarray data S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ... Journal of computational biology 10 (2), 119-142, 2003 | 369 | 2003 |
| Everything old is new again: a fresh look at historical approaches in machine learning RM Rifkin MaSSachuSettS InStitute of Technology, 2002 | 324 | 2002 |
| Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization S Mukherjee, P Niyogi, T Poggio, R Rifkin Advances in Computational Mathematics 25, 161-193, 2006 | 319* | 2006 |
| Improving multiclass text classification with the support vector machine JDM Rennie, R Rifkin | 227 | 2001 |
| A stochastic integer program with dual network structure and its application to the ground-holding problem MO Ball, R Hoffman, AR Odoni, R Rifkin Operations research 51 (1), 167-171, 2003 | 220 | 2003 |
| Notes on regularized least squares RM Rifkin, RA Lippert | 205 | 2007 |
| Generating a playlist GA Heitz III, A Berenzweig, JE Weston, RJ Weiss, SA Goldman, T Walters, ... US Patent 10,055,493, 2018 | 162 | 2018 |
| Scalable learning of non-decomposable objectives E Eban, M Schain, A Mackey, A Gordon, R Rifkin, G Elidan Artificial intelligence and statistics, 832-840, 2017 | 139 | 2017 |
| Using the fisher kernel method for web audio classification PJ Moreno, R Rifkin 2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000 | 125 | 2000 |
| Systems and methods for recognizing user speech R Lyon, C Hughes, Y Wang, R Rifkin, P Getreuer US Patent 10,672,387, 2020 | 121 | 2020 |
| An analytical method for multiclass molecular cancer classification R Rifkin, S Mukherjee, P Tamayo, S Ramaswamy, CH Yeang, M Angelo, ... Siam Review 45 (4), 706-723, 2003 | 99 | 2003 |
| Musical query-by-description as a multiclass learning problem B Whitman, R Rifkin 2002 IEEE Workshop on Multimedia Signal Processing., 153-156, 2002 | 81 | 2002 |
| Value Regularization and Fenchel Duality. RM Rifkin, RA Lippert Journal of Machine Learning Research 8 (3), 2007 | 75 | 2007 |
| Partially supervised machine learning of data classification based on local-neighborhood Laplacian Eigenmaps R Rifkin, S Andrews US Patent 7,412,425, 2008 | 68 | 2008 |
TOMASO POGGIOMcDermott Professor in Brain Sciences, MITVerified email at ai.mit.edu
