| 2008 | ||
|---|---|---|
| 19 | Angela Distaso, Luca Abatangelo, Rosalia Maglietta, Teresa Maria Creanza, Ada Piepoli, Massimo Carella, Annarita D'Addabbo, Sayan Mukherjee, Nicola Ancona: Statistical Assessment of MSigDB Gene Sets in Colon Cancer. KES (2) 2008: 206-213 | |
| 18 | Qiang Wu, Sayan Mukherjee, Feng Liang: Localized Sliced Inverse Regression. NIPS 2008: 1785-1792 | |
| 2007 | ||
| 17 | Jonathan L. Jesneck, Sayan Mukherjee, Loren W. Nolte, Anna E. Lokshin, Jeffrey R. Marks, Joseph Lo: Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women. BIBE 2007: 1434-1438 | |
| 2006 | ||
| 16 | Elena Edelman, Alessandro Porrello, Justin Guinney, Bala Balakumaran, Andrea Bild, Phillip G. Febbo, Sayan Mukherjee: Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genome-wide expression profiles. ISMB (Supplement of Bioinformatics) 2006: 122-116 | |
| 15 | Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin: Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Adv. Comput. Math. 25(1-3): 161-193 (2006) | |
| 14 | Sayan Mukherjee, Qiang Wu: Estimation of Gradients and Coordinate Covariation in Classification. Journal of Machine Learning Research 7: 2481-2514 (2006) | |
| 13 | Sayan Mukherjee, Ding-Xuan Zhou: Learning Coordinate Covariances via Gradients. Journal of Machine Learning Research 7: 519-549 (2006) | |
| 2005 | ||
| 12 | Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko: Permutation Tests for Classification. COLT 2005: 501-515 | |
| 2003 | ||
| 11 | Sayan Mukherjee, Pablo Tamayo, Simon Rogers, Ryan M. Rifkin, Anna Engle, Colin Campbell, Todd R. Golub, Jill P. Mesirov: Estimating Dataset Size Requirements for Classifying DNA Microarray Data. Journal of Computational Biology 10(2): 119-142 (2003) | |
| 2002 | ||
| 10 | Neelanjan Mukherjee, Sayan Mukherjee: Predicting Signal Peptides with Support Vector Machines. SVM 2002: 1-7 | |
| 9 | Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46(1-3): 131-159 (2002) | |
| 2001 | ||
| 8 | Leonid Peshkin, Sayan Mukherjee: Bounds on Sample Size for Policy Evaluation in Markov Environments. COLT/EuroCOLT 2001: 616-630 | |
| 7 | Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso Poggio: Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. CVPR (2) 2001: 18-24 | |
| 6 | Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub: Molecular classification of multiple tumor types. ISMB (Supplement of Bioinformatics) 2001: 316-322 | |
| 5 | Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sinha: The Fidelity of Local Ordinal Encoding. NIPS 2001: 1279-1286 | |
| 4 | Leonid Peshkin, Sayan Mukherjee: Bounds on sample size for policy evaluation in Markov environments CoRR cs.LG/0105027: (2001) | |
| 2000 | ||
| 3 | Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324 | |
| 2 | Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674 | |
| 1999 | ||
| 1 | Vladimir Vapnik, Sayan Mukherjee: Support Vector Method for Multivariate Density Estimation. NIPS 1999: 659-665 | |