Sunil Kumar Gupta

23 papers A* 3A 3B 2Journal 6Unranked 9
YearRankTypeTitle / Venue / Authors
2017 J jnl
Low overhead octet indexed template security scheme for multi-modal biometric system.
J. Intell. Fuzzy Syst.
Arvind Selwal, Sunil Kumar Gupta, Surender Kumar
2016 A* conf
Budgeted Batch Bayesian Optimization.
ICDM
Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh
2016 — conf
Differentially Private Multi-task Learning.
PAISI
Sunil Kumar Gupta, Santu Rana, Svetha Venkatesh
2016 — conf
Flexible Transfer Learning Framework for Bayesian Optimisation.
PAKDD (1)
Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
2016 J jnl
Stabilizing l
J. Biomed. Informatics
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015 — conf
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.
PAKDD (1)
Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2015 A* conf
Differentially Private Random Forest with High Utility.
ICDM
Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
2015 B conf
Exploiting feature relationships towards stable feature selection.
DSAA
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015 — conf
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach.
PAKDD (1)
Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh
2015 — conf
Stable Feature Selection with Support Vector Machines.
Australasian Conference on Artificial Intelligence
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2015 J jnl
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso.
J. Biomed. Informatics
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2014 — conf
Intervention-Driven Predictive Framework for Modeling Healthcare Data.
PAKDD (1)
Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2014 A conf
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions.
SDM
Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2013 J jnl
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis.
IEEE Trans. Multim.
Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh
2013 — conf
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach.
ICML (3)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2013 J jnl
Regularized nonnegative shared subspace learning.
Data Min. Knowl. Discov.
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2012 A conf
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.
SDM
Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh
2012 J jnl
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning
CoRR
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2012 A conf
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning.
UAI
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2012 B conf
A nonparametric Bayesian Poisson gamma model for count data.
ICPR
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
2011 — conf
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources.
PAKDD (1)
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2010 A* conf
Nonnegative shared subspace learning and its application to social media retrieval.
KDD
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2008 — conf
Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition.
ICVGIP
Sunil Kumar Gupta, Y. Senthil Kumar, K. R. Ramakrishnan