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

Measuring pedagogical agent persona and the influence of agent persona on learning. - Noah L. Schroeder; William L. Romine; Scotty D. Craig (Comput. Educ., 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)

Do Alternative Instructional Approaches Result in Different Learning Progressions? - Moraima Castro-Faix; Amber Todd; William L. Romine; Ravit Golan Duncan (ICLS, 2018)

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)

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)

Fusing Visual, Textual and Connectivity Clues for Studying Mental Health. - Amir Hossein Yazdavar; Mohammad Saeid Mahdavinejad; Goonmeet Bajaj; William L. Romine; Amirhassan Monadjemi; Krishnaprasad Thirunarayan; Amit P. Sheth; Jyotishman Pathak (CoRR, 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)

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)

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)

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)

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)

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)

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