Sakyajit Bhattacharya

According to our database, Sakyajit Bhattacharya authored at least 29 papers between 2014 and 2023.

Collaborative distances:

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

2023

PuffConv: A System for Online and On-device Puff Detection for Smoking Cessation.

Varsha Sharma, Shalini Mukhopadhyay, Sakyajit Bhattacharya, Swarnava Dey, Avik Ghose

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Imputation of Human Mobility Data for Comprehensive Risk Models.

Shashee Kumari, Sakyajit Bhattacharya, Arnab Chatterjee, Avik Ghose

Proceedings of the 8th Workshop on Body-Centric Computing Systems, 2023

An Efficient Service-based System for Hierarchical Human Activity Sensing.

Bhaskar R. Pawar, Sakyajit Bhattacharya, Varsha Sharma, Karan Bhavsar, Avik Ghose

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Synthetic PPG Signal Generation to Improve Coronary Artery Disease Classification: Study With Physical Model of Cardiovascular System.

Oishee Mazumder, Rohan Banerjee, Dibyendu Roy, Sakyajit Bhattacharya, Avik Ghose, Aniruddha Sinha

IEEE J. Biomed. Health Informatics, 2022

2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping.

Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan

Bioinform., 2020

Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG.

Sakyajit Bhattacharya, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, Avik Ghose

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system.

Oishee Mazumder, Dibyendu Roy, Sakyajit Bhattacharya, Aniruddha Sinha, Arpan Pal

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Early Detection of Mild Cognitive Impairment using Pervasive Sensing.

Arijit Chowdhury, Sakyajit Bhattacharya, Avik Ghose, Balasubramaniam Krishnan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Time Series and Morphological Feature Extraction for Classifying Coronary Artery Disease from Photoplethysmogram.

Rohan Banerjee, Sakyajit Bhattacharya, Shahnawaz Alam

Proceedings of the 2018 IEEE International Conference on Acoustics, 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, K. M. Mandana

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Modelling HTM Learning and Prediction for Robotic Path-Learning.

Kaustab Pal, Sakyajit Bhattacharya, Sounak Dey, Arijit Mukherjee

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

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, Kayapanda M. Mandana

Proceedings of the First International Workshop on Human-centered Sensing, 2017

Automated lung sound analysis for detecting pulmonary abnormalities.

Shreyasi Datta, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (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, Kayapanda M. Mandana

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A robust dataset-agnostic heart disease classifier from Phonocardiogram.

Rohan Banerjee, Anirban Dutta Choudhury, Parijat Deshpande, Sakyajit Bhattacharya, Arpan Pal, K. M. Mandana

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets.

Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores.

Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Dependency Clustering of Mixed Data with Gaussian Mixture Copulas.

Vaibhav Rajan, Sakyajit Bhattacharya

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A statistical model for stroke outcome prediction and treatment planning.

Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma

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

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

Classification with imbalance: A similarity-based method for predicting respiratory failure.

Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

A LASSO-penalized BIC for mixture model selection.

Sakyajit Bhattacharya, Paul D. McNicholas

Adv. Data Anal. Classif., 2014

CloudRank: A statistical modelling framework for characterizing user behaviour towards targeted cloud management.

Sakyajit Bhattacharya, Tridib Mukherjee, Koustuv Dasgupta

Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

Post It or Not: Viewership Based Posting of Crowdsourced Tasks.

Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

CrowdUtility: A Recommendation System for Crowdsourcing Platforms.

Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals.

Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A novel classification method for predicting acute hypotensive episodes in critical care.

Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar

Proceedings of the 5th ACM Conference on Bioinformatics, 2014