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2020 – today
- 2020
[c16]Budhaditya Saha, Sanal Lisboa, Shameek Ghosh:
Understanding patient complaint characteristics using contextual clinical BERT embeddings. EMBC 2020: 5847-5850- [c15]Budhaditya Saha, Vedant Mandloi, Shameek Ghosh:
Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. ICMLA 2020: 1124-1131 - [i3]Budhaditya Saha, Sanal Lisboa, Shameek Ghosh:
Understanding patient complaint characteristics using contextual clinical BERT embeddings. CoRR abs/2002.05902 (2020)
2010 – 2019
- 2019
- [c14]Romero F. A. B. de Morais
, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR 2019: 11996-12004 - [c13]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: 1705-1714 - [i2]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR abs/1903.03295 (2019) - [i1]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 abs/1904.02639 (2019) - 2017
- [j7]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): 179-206 (2017) - [j6]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): 1182-1191 (2017) - 2016
- [j5]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Multiple task transfer learning with small sample sizes. Knowl. Inf. Syst. 46(2): 315-342 (2016) - [j4]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): 933-973 (2016) - [j3]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): 1008-1015 (2016) - [c12]Chandan K. Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh:
Multi-task transfer learning for in-hospital-death prediction of ICU patients. EMBC 2016: 3321-3324 - [c11]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. ICPR 2016: 537-542 - 2015
- [c10]Budhaditya Saha, Sunil Gupta, Svetha Venkatesh:
Improved risk predictions via sparse imputation of patient conditions in electronic medical records. DSAA 2015: 1-10 - [c9]Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh:
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. PAKDD (1) 2015: 226-238 - [c8]Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh:
Visual Object Clustering via Mixed-Norm Regularization. WACV 2015: 1030-1037 - 2014
- [j2]Duc-Son Pham, Svetha Venkatesh, Mihai M. Lazarescu, Budhaditya Saha:
Anomaly detection in large-scale data stream networks. Data Min. Knowl. Discov. 28(1): 145-189 (2014) - 2013
- [j1]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Detection of cross-channel anomalies. Knowl. Inf. Syst. 35(1): 33-59 (2013) - [c7]Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh:
Clustering Patient Medical Records via Sparse Subspace Representation. PAKDD (2) 2013: 123-134 - [c6]Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh:
Sparse Subspace Clustering via Group Sparse Coding. SDM 2013: 130-138 - 2012
- [c5]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Improved subspace clustering via exploitation of spatial constraints. CVPR 2012: 550-557 - [c4]Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh:
Sparse Subspace Representation for Spectral Document Clustering. ICDM 2012: 1092-1097 - 2011
- [c3]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Detection of Cross-Channel Anomalies from Multiple Data Channels. ICDM 2011: 527-536
2000 – 2009
- 2009
- [c2]Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh:
Effective Anomaly Detection in Sensor Networks Data Streams. ICDM 2009: 722-727 - 2007
- [c1]Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh:
Infrequent Item Mining in Multiple Data Streams. ICDM Workshops 2007: 569-574
Coauthor Index
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