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| 2012 | ||
|---|---|---|
| 30 | Paul Bendich, Bei Wang, Sayan Mukherjee: Local homology transfer and stratification learning. SODA 2012: 1355-1370 | |
| 29 | Sanjay Kumar Palit, Sayan Mukherjee, D. K. Bhattacharya: New types of nonlinear auto-correlations of bivariate data and their applications. Applied Mathematics and Computation 218(17): 8951-8967 (2012) | |
| 2011 | ||
| 28 | Justin Guinney, Qiang Wu, Sayan Mukherjee: Estimating variable structure and dependence in multitask learning via gradients. Machine Learning 83(3): 265-287 (2011) | |
| 2010 | ||
| 27 | Rosalia Maglietta, Angela Distaso, Ada Piepoli, Orazio Palumbo, Massimo Carella, Annarita D'Addabbo, Sayan Mukherjee, Nicola Ancona: On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers. Journal of Biomedical Informatics 43(3): 397-406 (2010) | |
| 26 | Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee: Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence. Journal of Machine Learning Research 11: 2175-2198 (2010) | |
| 25 | Kai Mao, Feng Liang, Sayan Mukherjee: Supervised Dimension Reduction Using Bayesian Mixture Modeling. Journal of Machine Learning Research - Proceedings Track 9: 501-508 (2010) | |
| 2009 | ||
| 24 | Luca Abatangelo, Rosalia Maglietta, Angela Distaso, Annarita D'Addabbo, Teresa Maria Creanza, Sayan Mukherjee, Nicola Ancona: Comparative study of gene set enrichment methods. BMC Bioinformatics 10: 275 (2009) | |
| 2008 | ||
| 23 | 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 | |
| 22 | Qiang Wu, Sayan Mukherjee, Feng Liang: Localized Sliced Inverse Regression. NIPS 2008: 1785-1792 | |
| 21 | Elena J. Edelman, Justin Guinney, Jen-Tsan Chi, Phillip G. Febbo, Sayan Mukherjee: Modeling Cancer Progression via Pathway Dependencies. PLoS Computational Biology 4(2): (2008) | |
| 2007 | ||
| 20 | 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 | |
| 19 | Liang Goh, Susan K. Murphy, Sayan Mukherjee, Terrence S. Furey: Genomic sweeping for hypermethylated genes. Bioinformatics 23(3): 281-288 (2007) | |
| 18 | Natesh S. Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert: Characterizing the Function Space for Bayesian Kernel Models. Journal of Machine Learning Research 8: 1769-1797 (2007) | |
| 2006 | ||
| 17 | Elena J. 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 | |
| 16 | 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) | |
| 15 | Sayan Mukherjee, Qiang Wu: Estimation of Gradients and Coordinate Covariation in Classification. Journal of Machine Learning Research 7: 2481-2514 (2006) | |
| 14 | Sayan Mukherjee, Ding-Xuan Zhou: Learning Coordinate Covariances via Gradients. Journal of Machine Learning Research 7: 519-549 (2006) | |
| 13 | Zhong Wang, Huntington F. Willard, Sayan Mukherjee, Terrence S. Furey: Evidence of Influence of Genomic DNA Sequence on Human X Chromosome Inactivation. PLoS Computational Biology 2(9): (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 | |
Colors in the list of coauthors
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