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Results for: Budhaditya Saha

Learning regularity in skeleton trajectories for anomaly detection in videos

R. Morais, V. Le, T. Tran, B. Saha, M. Mansour, S. Venkatesh

2019 / IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2017 / Vol. 53, pp. 1 - 28 / Knowledge and Information Systems

A framework for mixed-type multioutcome prediction with applications in healthcare

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2017 / Vol. 21, pp. 1182 - 1191 / IEEE journal of biomedical and health informatics

Transfer Learning for Rare Cancer Problems via Discriminative Sparse Gaussian Graphical Model

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2016 / pp. 537 - 542 / 23rd International Conference on Pattern Recognition (ICPR 2016)

Sparse Subspace Representation for Spectral Document Clustering

B. Saha, D. Phung, D. Pham, S. Venkatesh

2012 / pp. 1092 - 1097 / 12th International Conference on Data Mining (ICDM)

Detection of cross-channel anomalies from multiple data channels

D. Pham, B. Saha, D. Phung, S. Venkatesh

2011 / pp. 527 - 536 / IEEE 11th International Conference on Data Mining (ICDM)

Effective anomaly detection in sensor networks data streams

B. Saha, D. Pham, M. Lazarescu, S. Venkatesh

2009 / pp. 722 - 727 / Ninth IEEE International Conference on Data Mining

Infrequent item mining in multiple data streams

B. Saha, M. Lazarescu, S. Venkatesh

2007 / pp. 569 - 574 / Seventh IEEE International Conference on Data Mining Workshops