Tanvi Banerjee
Cited by
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Semi-supervised approach to monitoring clinical depressive symptoms in social media
AH Yazdavar, HS Al-Olimat, M Ebrahimi, G Bajaj, T Banerjee, ...
Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017
What are people tweeting about Zika? An exploratory study concerning its symptoms, treatment, transmission, and prevention
M Miller, T Banerjee, R Muppalla, W Romine, A Sheth
JMIR public health and surveillance 3 (2), e7157, 2017
Early hospital mortality prediction using vital signals
R Sadeghi, T Banerjee, W Romine
Smart Health 9, 265-274, 2018
Day or night activity recognition from video using fuzzy clustering techniques
T Banerjee, JM Keller, M Skubic, E Stone
IEEE Transactions on Fuzzy Systems 22 (3), 483-493, 2013
Iot quality control for data and application needs
T Banerjee, A Sheth
IEEE Intelligent Systems 32 (2), 68-73, 2017
Augmented personalized health: How smart data with IoTs and AI is about to change healthcare
A Sheth, U Jaimini, K Thirunarayan, T Banerjee
2017 IEEE 3rd international forum on research and technologies for society …, 2017
Anonymized video analysis methods and systems
M Skubic, JM Keller, F Wang, DT Anderson, EE Stone, RH Luke III, ...
US Patent 8,890,937, 2014
Investigation of an indoor air quality sensor for asthma management in children
U Jaimini, T Banerjee, W Romine, K Thirunarayan, A Sheth, M Kalra
IEEE sensors letters 1 (2), 1-4, 2017
Gender-based violence in 140 characters or fewer: A# BigData case study of Twitter
H Purohit, T Banerjee, A Hampton, VL Shalin, N Bhandutia, AP Sheth
arXiv preprint arXiv:1503.02086, 2015
Use of mobile health apps and wearable technology to assess changes and predict pain during treatment of acute pain in sickle cell disease: feasibility study
A Johnson, F Yang, S Gollarahalli, T Banerjee, D Abrams, J Jonassaint, ...
JMIR mHealth and uHealth 7 (12), e13671, 2019
Recognizing complex instrumental activities of daily living using scene information and fuzzy logic
T Banerjee, JM Keller, M Popescu, M Skubic
Computer Vision and Image Understanding 140, 68-82, 2015
Sleep quality prediction in caregivers using physiological signals
R Sadeghi, T Banerjee, JC Hughes, LW Lawhorne
Computers in biology and medicine 110, 276-288, 2019
Improving pain management in patients with sickle cell disease from physiological measures using machine learning techniques
F Yang, T Banerjee, K Narine, N Shah
Smart Health 7, 48-59, 2018
Identifying key topics bearing negative sentiment on Twitter: insights concerning the 2015-2016 Zika epidemic
R Mamidi, M Miller, T Banerjee, W Romine, A Sheth
JMIR public health and surveillance 5 (2), e11036, 2019
Using machine learning to train a wearable device for measuring students’ cognitive load during problem-solving activities based on electrodermal activity, body temperature …
WL Romine, NL Schroeder, J Graft, F Yang, R Sadeghi, M Zabihimayvan, ...
Sensors 20 (17), 4833, 2020
The influence of learners' perceptions of virtual humans on learning transfer
NL Schroeder, F Yang, T Banerjee, WL Romine, SD Craig
Computers & Education 126, 170-182, 2018
Automated fall detection with quality improvement “rewind” to reduce falls in hospital rooms
MJ Rantz, TS Banerjee, E Cattoor, SD Scott, M Skubic, M Popescu
Journal of gerontological nursing 40 (1), 13-17, 2014
Resident identification using kinect depth image data and fuzzy clustering techniques
T Banerjee, JM Keller, M Skubic
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Understanding city traffic dynamics utilizing sensor and textual observations
P Anantharam, K Thirunarayan, S Marupudi, A Sheth, T Banerjee
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Validating a commercial device for continuous activity measurement in the older adult population for dementia management
T Banerjee, M Peterson, Q Oliver, A Froehle, L Lawhorne
Smart Health 5, 51-62, 2018
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