Budhaditya Saha

According to our database, Budhaditya Saha authored at least 23 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase.

Budhaditya Saha, Vedant Mandloi, Shameek Ghosh

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Understanding patient complaint characteristics using contextual clinical BERT embeddings.

Budhaditya Saha, Sanal Lisboa, Shameek Ghosh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos.

Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.

Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh

IEEE J. Biomed. Health Informatics, 2017

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

Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh

Knowl. Inf. Syst., 2017

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

Multiple task transfer learning with small sample sizes.

Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh

Knowl. Inf. Syst., 2016

A new transfer learning framework with application to model-agnostic multi-task learning.

Sunil Gupta, Santu Rana, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh

Knowl. Inf. Syst., 2016

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.

Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multi-task transfer learning for in-hospital-death prediction of ICU patients.

Chandan K. Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Visual Object Clustering via Mixed-Norm Regularization.

Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach.

Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Improved risk predictions via sparse imputation of patient conditions in electronic medical records.

Budhaditya Saha, Sunil Gupta, Svetha Venkatesh

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Anomaly detection in large-scale data stream networks.

Duc-Son Pham, Svetha Venkatesh, Mihai M. Lazarescu, Budhaditya Saha

Data Min. Knowl. Discov., 2014

2013

Detection of cross-channel anomalies.

Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh

Knowl. Inf. Syst., 2013

Sparse Subspace Clustering via Group Sparse Coding.

Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Clustering Patient Medical Records via Sparse Subspace Representation.

Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012

Sparse Subspace Representation for Spectral Document Clustering.

Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improved subspace clustering via exploitation of spatial constraints.

Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Detection of Cross-Channel Anomalies from Multiple Data Channels.

Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2009

Effective Anomaly Detection in Sensor Networks Data Streams.

Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh

Proceedings of the ICDM 2009, 2009

2007

Infrequent Item Mining in Multiple Data Streams.

Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007