2008 |
19 | EE | 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 | EE | Qiang Wu,
Sayan Mukherjee,
Feng Liang:
Localized Sliced Inverse Regression.
NIPS 2008: 1785-1792 |
2007 |
17 | EE | 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 | EE | 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 | EE | 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 | EE | Sayan Mukherjee,
Qiang Wu:
Estimation of Gradients and Coordinate Covariation in Classification.
Journal of Machine Learning Research 7: 2481-2514 (2006) |
13 | EE | Sayan Mukherjee,
Ding-Xuan Zhou:
Learning Coordinate Covariances via Gradients.
Journal of Machine Learning Research 7: 519-549 (2006) |
2005 |
12 | EE | 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 | EE | 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 | EE | Leonid Peshkin,
Sayan Mukherjee:
Bounds on Sample Size for Policy Evaluation in Markov Environments.
COLT/EuroCOLT 2001: 616-630 |
7 | EE | 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 | EE | Javid Sadr,
Sayan Mukherjee,
K. Thoresz,
Pawan Sinha:
The Fidelity of Local Ordinal Encoding.
NIPS 2001: 1279-1286 |
4 | EE | Leonid Peshkin,
Sayan Mukherjee:
Bounds on sample size for policy evaluation in Markov environments
CoRR cs.LG/0105027: (2001) |
2000 |
3 | EE | 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 | EE | Vladimir Vapnik,
Sayan Mukherjee:
Support Vector Method for Multivariate Density Estimation.
NIPS 1999: 659-665 |