Infrequent Item Mining in Multiple Data Streams. - Budhaditya Saha; Mihai M. Lazarescu; Svetha Venkatesh (ICDM Workshops, 2007)

Effective Anomaly Detection in Sensor Networks Data Streams. - Budhaditya Saha; Duc-Son Pham 001; Mihai M. Lazarescu; Svetha Venkatesh (ICDM, 2009)

Detection of Cross-Channel Anomalies from Multiple Data Channels. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (ICDM, 2011)

Improved subspace clustering via exploitation of spatial constraints. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (CVPR, 2012)

Sparse Subspace Representation for Spectral Document Clustering. - Budhaditya Saha; Dinh Q. Phung; Duc-Son Pham 001; Svetha Venkatesh (ICDM, 2012)

Clustering Patient Medical Records via Sparse Subspace Representation. - Budhaditya Saha; Duc-Son Pham 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (2), 2013)

Sparse Subspace Clustering via Group Sparse Coding. - Duc-Son Pham 001; Dinh Q. Phung; Budhaditya Saha; Svetha Venkatesh (SDM, 2013)

Detection of cross-channel anomalies. - Duc-Son Pham 001; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2013)

Anomaly detection in large-scale data stream networks. - Duc-Son Pham 001; Svetha Venkatesh; Mihai M. Lazarescu; Budhaditya Saha (Data Min. Knowl. Discov., 2014)

Improved risk predictions via sparse imputation of patient conditions in electronic medical records. - Budhaditya Saha; Sunil Gupta 001; Svetha Venkatesh (DSAA, 2015)

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. - Budhaditya Saha; Sunil Kumar Gupta 001; Svetha Venkatesh (PAKDD (1), 2015)

Visual Object Clustering via Mixed-Norm Regularization. - Xin Zhang 022; Duc-Son Pham 001; Dinh Q. Phung; Wanquan Liu; Budhaditya Saha; Svetha Venkatesh (WACV, 2015)

Multi-task transfer learning for in-hospital-death prediction of ICU patients. - Chandan K. Karmakar; Budhaditya Saha; Marimuthu Palaniswami; Svetha Venkatesh (EMBC, 2016)

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. - Budhaditya Saha; Sunil Gupta 001; Dinh Q. Phung; Svetha Venkatesh (ICPR, 2016)

A new transfer learning framework with application to model-agnostic multi-task learning. - Sunil Gupta 001; Santu Rana; Budhaditya Saha; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2016)

Multiple task transfer learning with small sample sizes. - Budhaditya Saha; Sunil Gupta 001; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2016)

A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. - Budhaditya Saha; Thin Nguyen; Dinh Q. Phung; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2016)

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. - Budhaditya Saha; Sunil Gupta 001; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2017)

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare. - Budhaditya Saha; Sunil Gupta 001; Dinh Q. Phung; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2017)

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh (CVPR, 2019)

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. - Dong Gong; Lingqiao Liu; Vuong Le; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh; Anton van den Hengel (ICCV, 2019)

Understanding patient complaint characteristics using contextual clinical BERT embeddings. - Budhaditya Saha; Sanal Lisboa; Shameek Ghosh (EMBC, 2020)

Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. - Budhaditya Saha; Vedant Mandloi; Shameek Ghosh (ICMLA, 2020)