Tanvi Banerjee

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 51

Top Topics

Medical Literature

Language Processing

Document Summarization

Top Venues

Publications

Swati Padhee, Tanvi Banerjee, Daniel M. Abrams, Nirmish Shah
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction. CoRR (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. ICDH (2023)
Ankita Agarwal, Tanvi Banerjee, William L. Romine, Krishnaprasad Thirunarayan, Lingwei Chen, Mia Cajita
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. CoRR (2023)
Josephine Graft, William L. Romine, Brooklynn Watts, Noah L. Schroeder, Tawsik Jawad, Tanvi Banerjee
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 23 (8) (2023)
Ankita Agarwal, Tanvi Banerjee, Joy Gockel, Saniya LeBlanc, Joe Walker, John Middendorf
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing. CoRR (2023)
Caroline Vuong, Kumar Utkarsh, Rebecca Stojancic, Arvind Subramaniam, Olivia Fernandez, Tanvi Banerjee, Daniel M. Abrams, Karin Fijnvandraat, Nirmish Shah
Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. Frontiers Digit. Health 5 (2023)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. CoRR (2022)
Ankita Agarwal, Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. CoRR (2022)
Ankita Agarwal, Krishnaprasad Thirunarayan, William L. Romine, Amanuel Alambo, Mia Cajita, Tanvi Banerjee
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. EMBC (2022)
William L. Romine, Noah L. Schroeder, Tanvi Banerjee, Josephine Graft
Toward Mental Effort Measurement Using Electrodermal Activity Features. Sensors 22 (19) (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature. CoRR (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Mia Cajita
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. EMBC (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. ICPR (2022)
Gary K. Nave Jr., Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Nirmish Shah, Daniel M. Abrams
Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples. CoRR (2021)
Mark J. Panaggio, Daniel M. Abrams, Fan Yang, Tanvi Banerjee, Nirmish Shah
Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease. PLoS Comput. Biol. 17 (3) (2021)
Bradley Schneider, Tanvi Banerjee
Bridging the Gap between Atomic and Complex Activities in First Person Video. FUZZ-IEEE (2021)
Reza Sadeghi, Tanvi Banerjee, John Hughes
Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability. EMBC (2020)
Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. CoRR (2020)
Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. ICPR Workshops (2) (2020)
William L. Romine, Noah L. Schroeder, Josephine Graft, Fan Yang, Reza Sadeghi, Mahdieh Zabihimayvan, Dipesh Kadariya, Tanvi Banerjee
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 20 (17) (2020)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. IEEE BigData (2020)
Ankita Agarwal, William L. Romine, Tanvi Banerjee
Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. IEEE BigData (2020)
Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah
Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits. CoRR (2020)
Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. BIBM (2020)
Swati Padhee, Anurag Illendula, Megan Sadler, Valerie L. Shalin, Tanvi Banerjee, Krishnaprasad Thirunarayan, William L. Romine
Predicting Early Indicators of Cognitive Decline from Verbal Utterances. CoRR (2020)
Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, Nirmish Shah
Measuring Pain in Sickle Cell Disease using Clinical Text. EMBC (2020)
William L. Romine, Noah L. Schroeder, Anjali Edwards, Tanvi Banerjee
Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor. ICPR Workshops (2) (2020)
Amanuel Alambo, Ryan Andrew, Sid Gollarahalli, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel M. Abrams, Nirmish Shah
Measuring Pain in Sickle Cell Disease using Clinical Text. CoRR (2020)
Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee
Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. IEEE BigData (2020)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. CoRR (2020)
Amanuel Alambo, Swati Padhee, Tanvi Banerjee, Krishnaprasad Thirunarayan
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. CoRR (2020)
Swati Padhee, Amanuel Alambo, Tanvi Banerjee, Arvind Subramaniam, Daniel M. Abrams, Gary K. Nave Jr., Nirmish Shah
Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits. ICPR Workshops (2) (2020)
Garrett Goodman, Tanvi Banerjee, William L. Romine, Cogan Shimizu, Jennifer Hughes
Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study. FUZZ-IEEE (2019)
William L. Romine, Tanvi Banerjee, Garrett Goodman
Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. Sensors 19 (6) (2019)
Rutuja Mahajan, William L. Romine, Michele Miller, Tanvi Banerjee
Analyzing Public Outlook towards Vaccination using Twitter. IEEE BigData (2019)
Reza Sadeghi, Tanvi Banerjee, Jennifer Hughes, Larry Lawhorne
Sleep quality prediction in caregivers using physiological signals. Comput. Biol. Medicine 110 (2019)
Fan Yang, Tanvi Banerjee, Mark J. Panaggio, Daniel M. Abrams, Nirmish Shah
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. BIBM (2019)
William L. Romine, Tanvi Banerjee, Garrett Goodman
Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures. CoRR (2019)
Garrett Goodman, Abby Edwards, Cogan Shimizu, Tanvi Banerjee, Jennifer Hughes, William L. Romine, Larry Lawhorne
Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach. CoRR (2018)
Noah L. Schroeder, Fan Yang, Tanvi Banerjee, William L. Romine, Scotty D. Craig
The influence of learners' perceptions of virtual humans on learning transfer. Comput. Educ. 126 (2018)
Reza Sadeghi, Tanvi Banerjee, William L. Romine
Early Hospital Mortality Prediction using Vital Signals. CoRR (2018)
Tanvi Banerjee, Amit P. Sheth
IoT Quality Control for Data and Application Needs. IEEE Intell. Syst. 32 (2) (2017)
Amit P. Sheth, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Tanvi Banerjee
Augmented personalized health: How smart data with IoTs and AI is about to change healthcare. RTSI (2017)
RoopTeja Muppalla, Michele Miller, Tanvi Banerjee, William L. Romine
Discovering explanatory models to identify relevant tweets on Zika. EMBC (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. CoRR (2017)
Kalindi Narine, Fan Yang, Tanvi Banerjee, Jude Jonassaint, Rita Masese, Nirmish Shah
Pilot study using wearable and mobile app data in patients with the sickle cell disease to describe and predict pain. AMIA (2017)
Tanvi Banerjee, Maria Yefimova, James M. Keller, Marjorie Skubic, Diana Lynn Woods, Marilyn Rantz
Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data. J. Ambient Intell. Smart Environ. 9 (2) (2017)
Michele Miller, Tanvi Banerjee, RoopTeja Muppalla, William L. Romine, Amit P. Sheth
What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention. CoRR (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. ASONAM (2017)
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit P. Sheth, Tanvi Banerjee
Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. AAAI (2016)
Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth
Gender-based violence in 140 characters or fewer: A #BigData case study of Twitter. First Monday 21 (1) (2016)
Tanvi Banerjee, James M. Keller, Mihail Popescu, Marjorie Skubic
Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. Comput. Vis. Image Underst. 140 (2015)
Pramod Anantharam, Tanvi Banerjee, Amit P. Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis
Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children. IEEE MS (2015)
Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth
Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. CoRR (2015)
Hemant Purohit, Tanvi Banerjee, Andrew J. Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth
Gender-based violence in 140 characters or fewer: a #BigData case study of Twitter. PeerJ Prepr. 3 (2015)
Andrew R. Buck, Tanvi Banerjee, James M. Keller
Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence. IEEE Congress on Evolutionary Computation (2014)
Tanvi Banerjee, Moein Enayati, James M. Keller, Marjorie Skubic, Mihail Popescu, Marilyn Rantz
Monitoring patients in hospital beds using unobtrusive depth sensors. EMBC (2014)
Tanvi Banerjee, James M. Keller, Marjorie Skubic
Building a framework for recognition of activities of daily living from depth images using fuzzy logic. FUZZ-IEEE (2014)
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. EMBC (2014)
Tanvi Banerjee, Marjorie Skubic, James M. Keller, Carmen Abbott
Sit-to-Stand Measurement for In-Home Monitoring Using Voxel Analysis. IEEE J. Biomed. Health Informatics 18 (4) (2014)
Tanvi Banerjee, James M. Keller, Marjorie Skubic, Erik E. Stone
Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques. IEEE Trans. Fuzzy Syst. 22 (3) (2014)
Tanvi Banerjee, James M. Keller, Marjorie Skubic
Detecting foreground disambiguation of depth images using fuzzy logic. FUZZ-IEEE (2013)
Yun Li, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic
Improvement of acoustic fall detection using Kinect depth sensing. EMBC (2013)
Tanvi Banerjee, James M. Keller, Marjorie Skubic
Resident identification using kinect depth image data and fuzzy clustering techniques. EMBC (2012)
Tanvi Banerjee, James M. Keller, Marjorie Skubic, Carmen Abbott
Sit-to-stand detection using fuzzy clustering techniques. FUZZ-IEEE (2010)