Sunil Kumar Gupta

Publication Activity (10 Years)

Years Active: 2008-2017
Publications (10 Years): 11

Top Topics

Transfer Learning

Subspace Learning

Top Venues

J. Biomed. Informatics

Publications

Arvind Selwal, Sunil Kumar Gupta, Surender Kumar
Low overhead octet indexed template security scheme for multi-modal biometric system. J. Intell. Fuzzy Syst. 32 (5) (2017)
Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh
Budgeted Batch Bayesian Optimization. ICDM (2016)
Sunil Kumar Gupta, Santu Rana, Svetha Venkatesh
Differentially Private Multi-task Learning. PAISI (2016)
Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) (2016)
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
-norm prediction models by supervised feature grouping. J. Biomed. Informatics 59 (2016)
Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. PAKDD (1) (2015)
Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. PAKDD (1) (2015)
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Stable Feature Selection with Support Vector Machines. Australasian Conference on Artificial Intelligence (2015)
Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh
Differentially Private Random Forest with High Utility. ICDM (2015)
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso. J. Biomed. Informatics 53 (2015)
Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Exploiting feature relationships towards stable feature selection. DSAA (2015)
Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. SDM (2014)
Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Intervention-Driven Predictive Framework for Modeling Healthcare Data. PAKDD (1) (2014)
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Regularized nonnegative shared subspace learning. Data Min. Knowl. Discov. 26 (1) (2013)
Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. 15 (6) (2013)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. ICML (3) (2013)
Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources. SDM (2012)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning CoRR (2012)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. UAI (2012)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
A nonparametric Bayesian Poisson gamma model for count data. ICPR (2012)
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources. PAKDD (1) (2011)
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Nonnegative shared subspace learning and its application to social media retrieval. KDD (2010)
Sunil Kumar Gupta, Y. Senthil Kumar, K. R. Ramakrishnan
Learning Feature Trajectories Using Gabor Filter Bank for Human Activity Segmentation and Recognition. ICVGIP (2008)