Sakyajit Bhattacharya

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 24

Top Topics

Improving Classification Accuracy

Coronary Artery Disease

Gaussian Mixture

Top Venues

Publications

Shashee Kumari, Sakyajit Bhattacharya, Arnab Chatterjee, Avik Ghose
Imputation of Human Mobility Data for Comprehensive Risk Models. BodySys@MobiSys (2023)
Bhaskar R. Pawar, Sakyajit Bhattacharya, Varsha Sharma, Karan Bhavsar, Avik Ghose
An Efficient Service-based System for Hierarchical Human Activity Sensing. EMBC (2023)
Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose
PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation. PerCom Workshops (2023)
Oishee Mazumder, Rohan Banerjee, Dibyendu Roy, Sakyajit Bhattacharya, Avik Ghose, Aniruddha Sinha
Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System. IEEE J. Biomed. Health Informatics 26 (5) (2022)
Nasimuddin Ahmed, Shivam Singhal, Varsha Sharma, Sakyajit Bhattacharya, Aniruddha Sinha, Avik Ghose
A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet Decomposition. ICASSP (2021)
Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan
Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. Bioinform. 36 (2) (2020)
Sakyajit Bhattacharya, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, Avik Ghose
Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG. ICASSP (2020)
Arijit Chowdhury, Sakyajit Bhattacharya, Avik Ghose, Balasubramaniam Krishnan
Early Detection of Mild Cognitive Impairment using Pervasive Sensing. EMBC (2019)
Oishee Mazumder, Dibyendu Roy, Sakyajit Bhattacharya, Aniruddha Sinha, Arpan Pal
Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system. EMBC (2019)
Rohan Banerjee, Sakyajit Bhattacharya, Shahnawaz Alam
Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram. ICASSP (2018)
Kaustab Pal, Sakyajit Bhattacharya, Sounak Dey, Arijit Mukherjee
Modelling HTM Learning and Prediction for Robotic Path-Learning. BioRob (2018)
Rohan Banerjee, Sakyajit Bhattacharya, Soma Bandyopadhyay, Arpan Pal, K. M. Mandana
Non-Invasive Detection of Coronary Artery Disease Based on Clinical Information and Cardiovascular Signals: A Two-Stage Classification Approach. CBMS (2018)
Shreyasi Datta, Anirban Dutta Choudhury, Arijit Chowdhury, Tanushree Banerjee, Rohan Banerjee, Sakyajit Bhattacharya, Arpan Pal, Kayapanda M. Mandana
Novel Statistical Post Processing to Improve Blood Pressure Estimation from Smartphone Photoplethysmogram. HumanSys@SenSys (2017)
Rohan Banerjee, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal, K. M. Mandana
A robust dataset-agnostic heart disease classifier from Phonocardiogram. EMBC (2017)
Deepan Das, Rohan Banerjee, Anirban Dutta Choudhury, Sakyajit Bhattacharya, Parijat Deshpande, Arpan Pal, Kayapanda M. Mandana
Novel features from autocorrelation and spectrum to classify Phonocardiogram quality. EMBC (2017)
Shreyasi Datta, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal
Automated lung sound analysis for detecting pulmonary abnormalities. EMBC (2017)
Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI (2017)
Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek
Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. PAKDD Workshops (2016)
Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
Predicting Complications in Critical Care Using Heterogeneous Clinical Data. IEEE Access 4 (2016)
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
A statistical model for stroke outcome prediction and treatment planning. EMBC (2016)
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
A Statistical Model for Stroke Outcome Prediction and Treatment Planning. CoRR (2016)
Vaibhav Rajan, Sakyajit Bhattacharya
Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. IJCAI (2016)
Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. Hum. Comput. 2 (1) (2015)
Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan
Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM (2015)
Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP (2014)
Sakyajit Bhattacharya, Paul D. McNicholas
A LASSO-penalized BIC for mixture model selection. Adv. Data Anal. Classif. 8 (1) (2014)
Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya
Post It or Not: Viewership Based Posting of Crowdsourced Tasks. HCOMP (2014)
Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar
A novel classification method for predicting acute hypotensive episodes in critical care. BCB (2014)
Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy
Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. EMBC (2014)
Sakyajit Bhattacharya, Tridib Mukherjee, Koustuv Dasgupta
CloudRank: A statistical modelling framework for characterizing user behaviour towards targeted cloud management. NOMS (2014)