Sit-to-stand detection using fuzzy clustering techniques. - Tanvi Banerjee; James M. Keller; Marjorie Skubic; Carmen Abbott (FUZZ-IEEE, 2010)

Resident identification using kinect depth image data and fuzzy clustering techniques. - Tanvi Banerjee; James M. Keller; Marjorie Skubic (EMBC, 2012)

Improvement of acoustic fall detection using Kinect depth sensing. - Yun Li; Tanvi Banerjee; Mihail Popescu; Marjorie Skubic (EMBC, 2013)

Detecting foreground disambiguation of depth images using fuzzy logic. - Tanvi Banerjee; James M. Keller; Marjorie Skubic (FUZZ-IEEE, 2013)

Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligence. - Andrew R. Buck; Tanvi Banerjee; James M. Keller (IEEE Congress on Evolutionary Computation, 2014)

Monitoring patients in hospital beds using unobtrusive depth sensors. - Tanvi Banerjee; Moein Enayati; James M. Keller; Marjorie Skubic; Mihail Popescu; Marilyn Rantz (EMBC, 2014)

A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. - Moein Enayati; Tanvi Banerjee; Mihail Popescu; Marjorie Skubic; Marilyn Rantz (EMBC, 2014)

Building a framework for recognition of activities of daily living from depth images using fuzzy logic. - Tanvi Banerjee; James M. Keller; Marjorie Skubic (FUZZ-IEEE, 2014)

Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques. - Tanvi Banerjee; James M. Keller; Marjorie Skubic; Erik E. Stone (IEEE Trans. Fuzzy Syst., 2014)

Sit-to-Stand Measurement for In-Home Monitoring Using Voxel Analysis. - Tanvi Banerjee; Marjorie Skubic; James M. Keller; Carmen Abbott (IEEE J. Biomed. Health Informatics, 2014)

Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children. - Pramod Anantharam; Tanvi Banerjee; Amit P. Sheth; Krishnaprasad Thirunarayan; Surendra Marupudi; Vaikunth Sridharan; Shalini G. Forbis (IEEE MS, 2015)

Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. - Tanvi Banerjee; James M. Keller; Mihail Popescu; Marjorie Skubic (Comput. Vis. Image Underst., 2015)

Gender-based violence in 140 characters or fewer: a #BigData case study of Twitter. - Hemant Purohit; Tanvi Banerjee; Andrew J. Hampton; Valerie L. Shalin; Nayanesh Bhandutia; Amit P. Sheth (PeerJ Prepr., 2015)

Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. - Pramod Anantharam; Krishnaprasad Thirunarayan; Surendra Marupudi; Amit P. Sheth; Tanvi Banerjee (AAAI, 2016)

Pilot study using wearable and mobile app data in patients with the sickle cell disease to describe and predict pain. - Kalindi Narine; Fan Yang; Tanvi Banerjee; Jude Jonassaint; Rita Masese; Nirmish Shah (AMIA, 2017)

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. - Amir Hossein Yazdavar; Hussein S. Al-Olimat; Monireh Ebrahimi; Goonmeet Bajaj; Tanvi Banerjee; Krishnaprasad Thirunarayan; Jyotishman Pathak; Amit P. Sheth (ASONAM, 2017)

Discovering explanatory models to identify relevant tweets on Zika. - RoopTeja Muppalla; Michele Miller; Tanvi Banerjee; William L. Romine (EMBC, 2017)

Augmented personalized health: How smart data with IoTs and AI is about to change healthcare. - Amit P. Sheth; Utkarshani Jaimini; Krishnaprasad Thirunarayan; Tanvi Banerjee (RTSI, 2017)

What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention. - Michele Miller; Tanvi Banerjee; RoopTeja Muppalla; William L. Romine; Amit P. Sheth (CoRR, 2017)

IoT Quality Control for Data and Application Needs. - Tanvi Banerjee; Amit P. Sheth (IEEE Intell. Syst., 2017)

Exploratory analysis of older adults' sedentary behavior in the primary living area using kinect depth data. - Tanvi Banerjee; Maria Yefimova; James M. Keller; Marjorie Skubic; Diana Lynn Woods; Marilyn Rantz (J. Ambient Intell. Smart Environ., 2017)

The influence of learners' perceptions of virtual humans on learning transfer. - Noah L. Schroeder; Fan Yang; Tanvi Banerjee; William L. Romine; Scotty D. Craig (Comput. Educ., 2018)

Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach. - Garrett Goodman; Abby Edwards; Cogan Shimizu; Tanvi Banerjee; Jennifer Hughes; William L. Romine; Larry Lawhorne (CoRR, 2018)

Early Hospital Mortality Prediction using Vital Signals. - Reza Sadeghi; Tanvi Banerjee; William L. Romine (CoRR, 2018)

Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. - Fan Yang; Tanvi Banerjee; Mark J. Panaggio; Daniel M. Abrams; Nirmish Shah (BIBM, 2019)

Analyzing Public Outlook towards Vaccination using Twitter. - Rutuja Mahajan; William L. Romine; Michele Miller; Tanvi Banerjee (IEEE BigData, 2019)

Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study. - Garrett Goodman; Tanvi Banerjee; William L. Romine; Cogan Shimizu; Jennifer Hughes (FUZZ-IEEE, 2019)

Sleep quality prediction in caregivers using physiological signals. - Reza Sadeghi; Tanvi Banerjee; Jennifer Hughes; Larry Lawhorne (Comput. Biol. Medicine, 2019)

Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. - William L. Romine; Tanvi Banerjee; Garrett Goodman (Sensors, 2019)

Predicting Early Indicators of Cognitive Decline from Verbal Utterances. - Swati Padhee; Anurag Illendula; Megan Sadler; Valerie L. Shalin; Tanvi Banerjee; Krishnaprasad Thirunarayan; William L. Romine (BIBM, 2020)

Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination. - Ankita Agarwal; William L. Romine; Tanvi Banerjee (IEEE BigData, 2020)

Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic. - Ankita Agarwal; Preetham Salehundam; Swati Padhee; William L. Romine; Tanvi Banerjee (IEEE BigData, 2020)

Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. - Amanuel Alambo; Cori Lohstroh; Erik Madaus; Swati Padhee; Brandy Foster; Tanvi Banerjee; Krishnaprasad Thirunarayan; Michael L. Raymer (IEEE BigData, 2020)

Measuring Pain in Sickle Cell Disease using Clinical Text. - Amanuel Alambo; Ryan Andrew; Sid Gollarahalli; Jacqueline Vaughn; Tanvi Banerjee; Krishnaprasad Thirunarayan; Daniel M. Abrams; Nirmish Shah (EMBC, 2020)

Predicting Sleep Quality in Osteoporosis Patients Using Electronic Health Records and Heart Rate Variability. - Reza Sadeghi; Tanvi Banerjee; John Hughes (EMBC, 2020)

COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. - Amanuel Alambo; Swati Padhee; Tanvi Banerjee; Krishnaprasad Thirunarayan (ICPR Workshops (2), 2020)

Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits. - Swati Padhee; Amanuel Alambo; Tanvi Banerjee; Arvind Subramaniam; Daniel M. Abrams; Gary K. Nave Jr.; Nirmish Shah (ICPR Workshops (2), 2020)

Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor. - William L. Romine; Noah L. Schroeder; Anjali Edwards; Tanvi Banerjee (ICPR Workshops (2), 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. - William L. Romine; Noah L. Schroeder; Josephine Graft; Fan Yang; Reza Sadeghi; Mahdieh Zabihimayvan; Dipesh Kadariya; Tanvi Banerjee (Sensors, 2020)

Bridging the Gap between Atomic and Complex Activities in First Person Video. - Bradley Schneider; Tanvi Banerjee (FUZZ-IEEE, 2021)

Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples. - Gary K. Nave Jr.; Swati Padhee; Amanuel Alambo; Tanvi Banerjee; Nirmish Shah; Daniel M. Abrams (CoRR, 2021)

Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease. - Mark J. Panaggio; Daniel M. Abrams; Fan Yang; Tanvi Banerjee; Nirmish Shah (PLoS Comput. Biol., 2021)

Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure. - Ankita Agarwal; Krishnaprasad Thirunarayan; William L. Romine; Amanuel Alambo; Mia Cajita; Tanvi Banerjee (EMBC, 2022)

Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization. - Amanuel Alambo; Tanvi Banerjee; Krishnaprasad Thirunarayan; Mia Cajita (EMBC, 2022)

Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. - Amanuel Alambo; Tanvi Banerjee; Krishnaprasad Thirunarayan; Michael L. Raymer (ICPR, 2022)

Toward Mental Effort Measurement Using Electrodermal Activity Features. - William L. Romine; Noah L. Schroeder; Tanvi Banerjee; Josephine Graft (Sensors, 2022)

Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Krishnaprasad Thirunarayan; Lingwei Chen; Mia Cajita (ICDH, 2023)

Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing. - Ankita Agarwal; Tanvi Banerjee; Joy Gockel; Saniya LeBlanc; Joe Walker; John Middendorf (CoRR, 2023)

Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction. - Swati Padhee; Tanvi Banerjee; Daniel M. Abrams; Nirmish Shah (CoRR, 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. - Josephine Graft; William L. Romine; Brooklynn Watts; Noah L. Schroeder; Tawsik Jawad; Tanvi Banerjee (Sensors, 2023)

Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. - Caroline Vuong; Kumar Utkarsh; Rebecca Stojancic; Arvind Subramaniam; Olivia Fernandez; Tanvi Banerjee; Daniel M. Abrams; Karin Fijnvandraat; Nirmish Shah (Frontiers Digit. Health, 2023)

Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications. - Ankita Agarwal; Tanvi Banerjee; William L. Romine; Mia Cajita (IEEE Big Data, 2024)

Extraction of patients subpopulations with psychiatric symptoms using a transformer architecture. - Benjamin Holmes 003; Michael L. Raymer; Tanvi Banerjee (EMBC, 2024)

Measuring Skin Temperature as an Indicator for Cognitive Flow Using a Wrist-worn Wearable. - William L. Romine; Tanvi Banerjee; Noah L. Schroeder (EMBC, 2024)

Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention. - Douglas J. Townsell; Tanvi Banerjee; Lingwei Chen; Michael L. Raymer (EMBC, 2024)

Efficient Object Detection from Fused RGB and IR Aerial Images Enhanced by Token Selection. - Raghavendra Sesha Narayanacharyulu Chitroju Kodanda Saiayyappa; Tanvi Banerjee; Wen Zhang (ISQED, 2025)

Exploring Gender Differences in Chronic Pain Discussions on Reddit. - Ancita Maria Andrade; Tanvi Banerjee; Ramakrishna Mundugar (CoRR, 2025)