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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)

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

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

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