Budhaditya Saha

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 14

Top Topics

Group Sparse Coding

Medical Records

Anomaly Detection

Top Venues

Knowl. Inf. Syst.

IEEE J. Biomed. Health Informatics

Publications

Budhaditya Saha, Vedant Mandloi, Shameek Ghosh
Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. ICMLA (2020)
Budhaditya Saha, Sanal Lisboa, Shameek Ghosh
Understanding patient complaint characteristics using contextual clinical BERT embeddings. EMBC (2020)
Budhaditya Saha, Sanal Lisboa, Shameek Ghosh
Understanding patient complaint characteristics using contextual clinical BERT embeddings. CoRR (2020)
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR (2019)
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR (2019)
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR (2019)
Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV (2019)
Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. Knowl. Inf. Syst. 53 (1) (2017)
Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. ICPR (2016)
Sunil Gupta, Santu Rana, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
A new transfer learning framework with application to model-agnostic multi-task learning. Knowl. Inf. Syst. 49 (3) (2016)
Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh
Multiple task transfer learning with small sample sizes. Knowl. Inf. Syst. 46 (2) (2016)
Chandan K. Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh
Multi-task transfer learning for in-hospital-death prediction of ICU patients. EMBC (2016)
Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics 20 (4) (2016)
Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. PAKDD (1) (2015)
Budhaditya Saha, Sunil Gupta, Svetha Venkatesh
Improved risk predictions via sparse imputation of patient conditions in electronic medical records. DSAA (2015)
Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh
Visual Object Clustering via Mixed-Norm Regularization. WACV (2015)
Duc-Son Pham, Svetha Venkatesh, Mihai M. Lazarescu, Budhaditya Saha
Anomaly detection in large-scale data stream networks. Data Min. Knowl. Discov. 28 (1) (2014)
Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh
Sparse Subspace Clustering via Group Sparse Coding. SDM (2013)
Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh
Clustering Patient Medical Records via Sparse Subspace Representation. PAKDD (2) (2013)
Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
Detection of cross-channel anomalies. Knowl. Inf. Syst. 35 (1) (2013)
Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh
Sparse Subspace Representation for Spectral Document Clustering. ICDM (2012)
Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
Improved subspace clustering via exploitation of spatial constraints. CVPR (2012)
Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh
Detection of Cross-Channel Anomalies from Multiple Data Channels. ICDM (2011)
Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh
Effective Anomaly Detection in Sensor Networks Data Streams. ICDM (2009)
Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh
Infrequent Item Mining in Multiple Data Streams. ICDM Workshops (2007)