A novel classification method for predicting acute hypotensive episodes in critical care. - Sakyajit Bhattacharya; Vaibhav Rajan; Vijay Huddar (BCB, 2014)

Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. - Vijay Huddar; Vaibhav Rajan; Sakyajit Bhattacharya; Shourya Roy (EMBC, 2014)

CrowdUtility: A Recommendation System for Crowdsourcing Platforms. - Deepthi Chander; Sakyajit Bhattacharya; L. Elisa Celis; Koustuv Dasgupta; Saraschandra Karanam; Vaibhav Rajan; Avantika Gupta (HCOMP, 2014)

Post It or Not: Viewership Based Posting of Crowdsourced Tasks. - Pallavi Manohar; Deepthi Chander; L. Elisa Celis; Koustuv Dasgupta; Sakyajit Bhattacharya (HCOMP, 2014)

CloudRank: A statistical modelling framework for characterizing user behaviour towards targeted cloud management. - Sakyajit Bhattacharya; Tridib Mukherjee; Koustuv Dasgupta (NOMS, 2014)

A LASSO-penalized BIC for mixture model selection. - Sakyajit Bhattacharya; Paul D. McNicholas (Adv. Data Anal. Classif., 2014)

Classification with imbalance: A similarity-based method for predicting respiratory failure. - Harsh Shrivastava 001; Vijay Huddar; Sakyajit Bhattacharya; Vaibhav Rajan (BIBM, 2015)

Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. - Sakyajit Bhattacharya; Laura Elisa Celis; Deepthi Chander; Koustuv Dasgupta; Saraschandra Karanam; Vaibhav Rajan (Hum. Comput., 2015)

A statistical model for stroke outcome prediction and treatment planning. - Abhishek Sengupta; Vaibhav Rajan; Sakyajit Bhattacharya; G. R. K. Sarma (EMBC, 2016)

Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. - Vaibhav Rajan; Sakyajit Bhattacharya (IJCAI, 2016)

Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. - Vaibhav Rajan; Sakyajit Bhattacharya; Ranjan Shetty; Amith Sitaram; G. Vivek (PAKDD Workshops, 2016)

Predicting Complications in Critical Care Using Heterogeneous Clinical Data. - Vijay Huddar; Bapu Koundinya Desiraju; Vaibhav Rajan; Sakyajit Bhattacharya; Shourya Roy; Chandan K. Reddy (IEEE Access, 2016)

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. - Sakyajit Bhattacharya; Vaibhav Rajan; Harsh Shrivastava 001 (AAAI, 2017)

A robust dataset-agnostic heart disease classifier from Phonocardiogram. - Rohan Banerjee; Anirban Dutta Choudhury; Parijat Deshpande; Sakyajit Bhattacharya; Arpan Pal 001; K. M. Mandana (EMBC, 2017)

Novel features from autocorrelation and spectrum to classify Phonocardiogram quality. - Deepan Das; Rohan Banerjee; Anirban Dutta Choudhury; Sakyajit Bhattacharya; Parijat Deshpande; Arpan Pal 001; Kayapanda M. Mandana (EMBC, 2017)

Automated lung sound analysis for detecting pulmonary abnormalities. - Shreyasi Datta; Anirban Dutta Choudhury; Parijat Deshpande; Sakyajit Bhattacharya; Arpan Pal 001 (EMBC, 2017)

Novel Statistical Post Processing to Improve Blood Pressure Estimation from Smartphone Photoplethysmogram. - Shreyasi Datta; Anirban Dutta Choudhury; Arijit Chowdhury; Tanushree Banerjee; Rohan Banerjee; Sakyajit Bhattacharya; Arpan Pal 001; Kayapanda M. Mandana (HumanSys@SenSys, 2017)

Modelling HTM Learning and Prediction for Robotic Path-Learning. - Kaustab Pal; Sakyajit Bhattacharya; Sounak Dey; Arijit Mukherjee (BioRob, 2018)

Non-Invasive Detection of Coronary Artery Disease Based on Clinical Information and Cardiovascular Signals: A Two-Stage Classification Approach. - Rohan Banerjee; Sakyajit Bhattacharya; Soma Bandyopadhyay; Arpan Pal 001; K. M. Mandana (CBMS, 2018)

Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram. - Rohan Banerjee; Sakyajit Bhattacharya; Shahnawaz Alam (ICASSP, 2018)

Early Detection of Mild Cognitive Impairment using Pervasive Sensing. - Arijit Chowdhury; Sakyajit Bhattacharya; Avik Ghose; Balasubramaniam Krishnan (EMBC, 2019)

Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system. - Oishee Mazumder; Dibyendu Roy 002; Sakyajit Bhattacharya; Aniruddha Sinha; Arpan Pal 001 (EMBC, 2019)

Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG. - Sakyajit Bhattacharya; Oishee Mazumder; Dibyendu Roy 002; Aniruddha Sinha; Avik Ghose (ICASSP, 2020)

Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. - Siva Rajesh Kasa; Sakyajit Bhattacharya; Vaibhav Rajan (Bioinform., 2020)

A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet Decomposition. - Nasimuddin Ahmed; Shivam Singhal; Varsha Sharma; Sakyajit Bhattacharya; Aniruddha Sinha; Avik Ghose (ICASSP, 2021)

Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System. - Oishee Mazumder; Rohan Banerjee; Dibyendu Roy 002; Sakyajit Bhattacharya; Avik Ghose; Aniruddha Sinha (IEEE J. Biomed. Health Informatics, 2022)

An Efficient Service-based System for Hierarchical Human Activity Sensing. - Bhaskar R. Pawar; Sakyajit Bhattacharya; Varsha Sharma; Karan Bhavsar; Avik Ghose (EMBC, 2023)

Imputation of Human Mobility Data for Comprehensive Risk Models. - Shashee Kumari; Sakyajit Bhattacharya; Arnab Chatterjee; Avik Ghose (BodySys@MobiSys, 2023)

PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. - Varsha Sharma; Shalini Mukhopadhyay; Sakyajit Bhattacharya; Swarnava Dey; Avik Ghose (PerCom Workshops, 2023)

Post-Exercise Recovery Score Using Computational Cardiac Model. - Sakyajit Bhattacharya; Dibyendu Roy 002; Oishee Mazumder; Ayan Mukherjee; Nasimuddin Ahmed; K. M. Mandana; Avik Ghose; Aniruddha Sinha (EUSIPCO, 2024)