| Learning the kernel matrix with semidefinite programming GRG Lanckriet, N Cristianini, P Bartlett, LE Ghaoui, MI Jordan Journal of Machine learning research 5 (Jan), 27-72, 2004 | 2865 | 2004 |
| Multiple kernel learning, conic duality, and the SMO algorithm FR Bach, GRG Lanckriet, MI Jordan Proceedings of the twenty-first international conference on Machine learning, 6, 2004 | 1809 | 2004 |
| A new approach to cross-modal multimedia retrieval N Rasiwasia, J Costa Pereira, E Coviello, G Doyle, GRG Lanckriet, ... Proceedings of the 18th ACM international conference on Multimedia, 251-260, 2010 | 1096 | 2010 |
| A statistical framework for genomic data fusion GRG Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble Bioinformatics 20 (16), 2626-2635, 2004 | 823 | 2004 |
| A direct formulation for sparse PCA using semidefinite programming A d'Aspremont, L El Ghaoui, MI Jordan, GRG Lanckriet SIAM review 49 (3), 434-448, 2007 | 813 | 2007 |
| Financial time series prediction using least squares support vector machines within the evidence framework T Van Gestel, JAK Suykens, DE Baestaens, A Lambrechts, G Lanckriet, ... IEEE Transactions on neural networks 12 (4), 809-821, 2001 | 685 | 2001 |
| Semantic annotation and retrieval of music and sound effects D Turnbull, L Barrington, D Torres, G Lanckriet IEEE Transactions on Audio, Speech, and Language Processing 16 (2), 467-476, 2008 | 563 | 2008 |
| A robust minimax approach to classification GRG Lanckriet, LE Ghaoui, C Bhattacharyya, MI Jordan Journal of Machine Learning Research 3 (Dec), 555-582, 2002 | 559 | 2002 |
| Hilbert space embeddings and metrics on probability measures BK Sriperumbudur, A Gretton, K Fukumizu, B Schölkopf, GRG Lanckriet The Journal of Machine Learning Research 11, 1517-1561, 2010 | 542 | 2010 |
| Metric learning to rank B McFee, GRG Lanckriet ICML, 2010 | 415 | 2010 |
| Kernel-based data fusion and its application to protein function prediction in yeast GRG Lanckriet, M Deng, N Cristianini, MI Jordan, WS Noble Biocomputing 2004, 300-311, 2003 | 399 | 2003 |
| Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis TV Gestel, JAK Suykens, G Lanckriet, A Lambrechts, BD Moor, ... Neural computation 14 (5), 1115-1147, 2002 | 360 | 2002 |
| On the role of correlation and abstraction in cross-modal multimedia retrieval JC Pereira, E Coviello, G Doyle, N Rasiwasia, GRG Lanckriet, R Levy, ... IEEE transactions on pattern analysis and machine intelligence 36 (3), 521-535, 2013 | 327 | 2013 |
| A critical assessment of Mus musculus gene function prediction using integrated genomic evidence L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ... Genome biology 9 (1), 1-19, 2008 | 277 | 2008 |
| Universality, Characteristic Kernels and RKHS Embedding of Measures. BK Sriperumbudur, K Fukumizu, GRG Lanckriet Journal of Machine Learning Research 12 (7), 2011 | 274 | 2011 |
| A direct formulation for sparse PCA using semidefinite programming A d’Aspremont, LE Ghaoui, MI Jordan, GR Lanckriet Advances in neural information processing systems 17, 41-48, 2005 | 273 | 2005 |
| Non-linear metric learning D Kedem, S Tyree, F Sha, GR Lanckriet, KQ Weinberger Advances in neural information processing systems, 2582-2590, 2012 | 234 | 2012 |
| On the Convergence of the Concave-Convex Procedure. BK Sriperumbudur, GRG Lanckriet Nips 9, 1759-1767, 2009 | 219 | 2009 |
| A random forest classifier for the prediction of energy expenditure and type of physical activity from wrist and hip accelerometers K Ellis, J Kerr, S Godbole, G Lanckriet, D Wing, S Marshall Physiological measurement 35 (11), 2191, 2014 | 216 | 2014 |
| Generalized non-metric multidimensional scaling S Agarwal, J Wills, L Cayton, G Lanckriet, D Kriegman, S Belongie Artificial Intelligence and Statistics, 11-18, 2007 | 208 | 2007 |
