Tanvi Banerjee
Orcid: 0000-0001-7253-6654
According to our database1,
Tanvi Banerjee
authored at least 51 papers
between 2010 and 2023.
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Bibliography
2023
Use of consumer wearables to monitor and predict pain in patients with sickle cell disease.
Frontiers Digit. Health, May, 2023
A Preliminary Study of the Efficacy of Using a Wrist-Worn Multiparameter Sensor for the Prediction of Cognitive Flow States in University-Level Students.
Sensors, 2023
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction.
CoRR, 2023
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing.
CoRR, 2023
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.
Proceedings of the IEEE International Conference on Digital Health, 2023
2022
Sensors, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease.
PLoS Comput. Biol., 2021
CoRR, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use.
Sensors, 2020
Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Sensors, 2019
Comput. Biol. Medicine, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
CoRR, 2018
Comput. Educ., 2018
2017
Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data.
J. Ambient Intell. Smart Environ., 2017
What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention.
CoRR, 2017
Augmented personalized health: How smart data with IoTs and AI is about to change healthcare.
Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Pilot study using wearable and mobile app data in patients with the sickle cell disease to describe and predict pain.
Proceedings of the AMIA 2017, 2017
2016
First Monday, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Recognizing complex instrumental activities of daily living using scene information and fuzzy logic.
Comput. Vis. Image Underst., 2015
Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children.
Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
IEEE Trans. Fuzzy Syst., 2014
Building a framework for recognition of activities of daily living from depth images using fuzzy logic.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Proceedings of the FUZZ-IEEE 2013, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Resident identification using kinect depth image data and fuzzy clustering techniques.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2010
Proceedings of the FUZZ-IEEE 2010, 2010