Sakyajit Bhattacharya

31 papers A* 2B 4Misc 3Journal 6Unranked 16
YearRankTypeTitle / Venue / Authors
2024 — conf
Post-Exercise Recovery Score Using Computational Cardiac Model.
EUSIPCO
Sakyajit Bhattacharya, Dibyendu Roy, Oishee Mazumder, Ayan Mukherjee, Nasimuddin Ahmed, K. M. Mandana, Avik Ghose, Aniruddha Sinha
2023 — conf
An Efficient Service-based System for Hierarchical Human Activity Sensing.
EMBC
Bhaskar R. Pawar, Sakyajit Bhattacharya, Varsha Sharma, Karan Bhavsar, Avik Ghose
2023 — conf
Imputation of Human Mobility Data for Comprehensive Risk Models.
BodySys@MobiSys
Shashee Kumari, Sakyajit Bhattacharya, Arnab Chatterjee, Avik Ghose
2023 — conf
PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation.
PerCom Workshops
Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose
2022 J jnl
Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System.
IEEE J. Biomed. Health Informatics
Oishee Mazumder, Rohan Banerjee, Dibyendu Roy, Sakyajit Bhattacharya, Avik Ghose, Aniruddha Sinha
2021 Misc conf
A Patient-Invariant Model for Freezing of Gait Detection Aided by Wavelet Decomposition.
ICASSP
Nasimuddin Ahmed, Shivam Singhal, Varsha Sharma, Sakyajit Bhattacharya, Aniruddha Sinha, Avik Ghose
2020 J jnl
Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping.
Bioinform.
Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan
2020 Misc conf
Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG.
ICASSP
Sakyajit Bhattacharya, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, Avik Ghose
2019 — conf
Early Detection of Mild Cognitive Impairment using Pervasive Sensing.
EMBC
Arijit Chowdhury, Sakyajit Bhattacharya, Avik Ghose, Balasubramaniam Krishnan
2019 — conf
Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system.
EMBC
Oishee Mazumder, Dibyendu Roy, Sakyajit Bhattacharya, Aniruddha Sinha, Arpan Pal
2018 — conf
Modelling HTM Learning and Prediction for Robotic Path-Learning.
BioRob
Kaustab Pal, Sakyajit Bhattacharya, Sounak Dey, Arijit Mukherjee
2018 B conf
Non-Invasive Detection of Coronary Artery Disease Based on Clinical Information and Cardiovascular Signals: A Two-Stage Classification Approach.
CBMS
Rohan Banerjee, Sakyajit Bhattacharya, Soma Bandyopadhyay, Arpan Pal, K. M. Mandana
2018 Misc conf
Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram.
ICASSP
Rohan Banerjee, Sakyajit Bhattacharya, Shahnawaz Alam
2017 — conf
A robust dataset-agnostic heart disease classifier from Phonocardiogram.
EMBC
Rohan Banerjee, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal, K. M. Mandana
2017 — conf
Automated lung sound analysis for detecting pulmonary abnormalities.
EMBC
Shreyasi Datta, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal
2017 A* conf
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets.
AAAI
Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava
2017 — conf
Novel Statistical Post Processing to Improve Blood Pressure Estimation from Smartphone Photoplethysmogram.
HumanSys@SenSys
Shreyasi Datta, Anirban Dutta Choudhury, Arijit Chowdhury, Tanushree Banerjee, Rohan Banerjee, Sakyajit Bhattacharya, Arpan Pal, Kayapanda M. Mandana
2017 — conf
Novel features from autocorrelation and spectrum to classify Phonocardiogram quality.
EMBC
Deepan Das, Rohan Banerjee, Anirban Dutta Choudhury, Sakyajit Bhattacharya, Parijat Deshpande, Arpan Pal, Kayapanda M. Mandana
2016 J jnl
A Statistical Model for Stroke Outcome Prediction and Treatment Planning.
CoRR
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
2016 — conf
A statistical model for stroke outcome prediction and treatment planning.
EMBC
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
2016 — conf
Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores.
PAKDD Workshops
Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek
2016 A* conf
Dependency Clustering of Mixed Data with Gaussian Mixture Copulas.
IJCAI
Vaibhav Rajan, Sakyajit Bhattacharya
2016 J jnl
Predicting Complications in Critical Care Using Heterogeneous Clinical Data.
IEEE Access
Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
2015 — conf
Classification with imbalance: A similarity-based method for predicting respiratory failure.
BIBM
Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan
2015 J jnl
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms.
Hum. Comput.
Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan
2014 J jnl
A LASSO-penalized BIC for mixture model selection.
Adv. Data Anal. Classif.
Sakyajit Bhattacharya, Paul D. McNicholas
2014 — conf
A novel classification method for predicting acute hypotensive episodes in critical care.
BCB
Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar
2014 B conf
CloudRank: A statistical modelling framework for characterizing user behaviour towards targeted cloud management.
NOMS
Sakyajit Bhattacharya, Tridib Mukherjee, Koustuv Dasgupta
2014 B conf
CrowdUtility: A Recommendation System for Crowdsourcing Platforms.
HCOMP
Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta
2014 B conf
Post It or Not: Viewership Based Posting of Crowdsourced Tasks.
HCOMP
Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya
2014 — conf
Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals.
EMBC
Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy