Evidence of the need for social intelligence in rescue robots. - Thomas David Fincannon; Laura Elizabeth Barnes; Robin R. Murphy; Dawn L. Riddle (IROS, 2004)

Swarm formation control utilizing ground and aerial unmanned systems. - Laura E. Barnes; Richard Garcia; Mary-Anne Fields; Kimon P. Valavanis (IROS, 2008)

Effective robot team control methodologies for battlefield applications. - Mary-Anne Fields; Ellen C. Haas; Susan Hill; Chris Stachowiak; Laura E. Barnes (IROS, 2009)

Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions. - Laura E. Barnes; Mary-Anne Fields; Kimon P. Valavanis (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Multi-UAV Simulator Utilizing X-Plane. - Richard Garcia; Laura E. Barnes (J. Intell. Robotic Syst., 2010)

Rough Set Theory based prognostication of life expectancy for terminally ill patients. - Eleazar Gil-Herrera; Ali Yalcin; Athanasios Tsalatsanis; Laura E. Barnes; Benjamin Djulbegovic (EMBC, 2011)

Designing patient-centric applications for chronic disease management. - Athanasios Tsalatsanis; Eleazar Gil-Herrera; Ali Yalcin; Benjamin Djulbegovic; Laura E. Barnes (EMBC, 2011)

Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients. - Athanasios Tsalatsanis; Laura E. Barnes; Iztok Hozo; Benjamin Djulbegovic (BMC Medical Informatics Decis. Mak., 2011)

Towards a classification model to identify hospice candidates in terminally ill patients. - Eleazar Gil-Herrera; Ali Yalcin; Athanasios Tsalatsanis; Laura E. Barnes; Benjamin Djulbegovic (EMBC, 2012)

User Preferences Influencing the Design of a Tailored Virtual Patient Educator in a Latina Farm Worker Community. - Bijan Morshedi; Alexis V. Chaet; Cameron Brown; Gloria Arroyo; Sara K. Proctor; Rupa Valdez; Kristen J. Wells; Laura E. Barnes (AMIA, 2014)

Opportunities for Social Media within Consumer Health Informatics. - Rupa Valdez; Sahiti Myneni; Andrea L. Hartzler; Lena Mamykina; Nathan K. Cobb; Laura E. Barnes (AMIA, 2015)

Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data. - Jinghe Zhang; Hao Wu; James Turner; Adrienne Keller; Laura E. Barnes (AMIA, 2015)

Evaluation of data quality of multisite electronic health record data for secondary analysis. - Alicia L. Nobles; Ketki Vilankar; Hao Wu; Laura E. Barnes (IEEE BigData, 2015)

M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. - Jinghe Zhang; Haoyi Xiong; Yu Huang 015; Hao Wu; Kevin Leach; Laura E. Barnes (IEEE BigData, 2015)

Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. - Nicholas J. Napoli; Laura E. Barnes; Kamal Premaratne (FUSION, 2015)

Effects of Stereoscopic Depth on Vigilance Performance and Cerebral Hemodynamics. - Eric T. Greenlee; Gregory J. Funke; Joel S. Warm; Victor S. Finomore Jr.; Robert Earl Patterson; Laura E. Barnes; Matthew E. Funke; Michael A. Vidulich (Hum. Factors, 2015)

Rough set theory based prognostic classification models for hospice referral. - Eleazar Gil-Herrera; Garrick Aden-Buie; Ali Yalcin; Athanasios Tsalatsanis; Laura E. Barnes; Benjamin Djulbegovic (BMC Medical Informatics Decis. Mak., 2015)

Graph-based classification of healthcare provider activity. - Nasrin Sadeghzadehyazdi; Tamal Batabyal; Laura E. Barnes; Scott T. Acton (ACSSC, 2016)

Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers. - Debajyoti Datta; Valentina Brashers; John Owen; Casey White; Laura E. Barnes (AMIA, 2016)

A MapReduce framework to improve template matching uncertainty. - Nicholas J. Napoli; Kevin Leach; Laura E. Barnes; Westley Weimer (BigComp, 2016)

A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. - Nicholas J. Napoli; Laura E. Barnes (FLAIRS, 2016)

DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms. - Philip Chow; Wesley Bonelli; Yu Huang 015; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp Adjunct, 2016)

Assessing social anxiety using gps trajectories and point-of-interest data. - Yu Huang 015; Haoyi Xiong; Kevin Leach; Yuyan Zhang; Philip Chow; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp, 2016)

Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. - Haoyi Xiong; Yu Huang 015; Laura E. Barnes; Matthew S. Gerber (UbiComp, 2016)

A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems. - Debajyoti Datta; Valentina Brashers; John Owen; Casey White; Laura E. Barnes (IVA, 2016)

Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis. - Haoyi Xiong; Yanjie Fu; Wenqing Hu; Guanling Chen; Laura E. Barnes (CoRR, 2016)

iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing. - Haoyi Xiong; Daqing Zhang 001; Guanling Chen; Leye Wang; Vincent Gauthier; Laura E. Barnes (IEEE Trans. Mob. Comput., 2016)

Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. - Julia Lensing; Ketki Vilankar; Hyojung Kang; Donald E. Brown; Amy Mathers; Laura E. Barnes (AMIA, 2017)

On-the-fly Learning and Monitoring of Partially Observed Navigation Plan. - J. Vince Pulido; Mary-Anne Fields; Laura E. Barnes (AAMAS, 2017)

Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. - Jiang Bian 003; Laura E. Barnes; Guanling Chen; Haoyi Xiong (BHI, 2017)

Addressing bias from non-random missing attributes in health data. - Nicholas J. Napoli; Madeline E. Kotoriy; William Barnhardt; Jeffrey S. Young 002; Laura E. Barnes (BHI, 2017)

HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. - Jinghe Zhang; Jiaqi Gong; Laura E. Barnes (CHASE, 2017)

Monitoring social anxiety from mobility and communication patterns. - Mehdi Boukhechba; Yu Huang 015; Philip Chow; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp/ISWC Adjunct, 2017)

HDLTex: Hierarchical Deep Learning for Text Classification. - Kamran Kowsari; Donald E. Brown; Mojtaba Heidarysafa; Kiana Jafari Meimandi; Matthew S. Gerber; Laura E. Barnes (ICMLA, 2017)

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. - Yu Huang 015; Jiaqi Gong; Mark Rucker; Philip Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (DigitalBioMarker@MobiSys, 2017)

Near-Optimal Incentive Allocation for Piggyback Crowdsensing. - Haoyi Xiong; Daqing Zhang 001; Zhishan Guo; Guanling Chen; Laura E. Barnes (IEEE Commun. Mag., 2017)

Daehr: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders. - Haoyi Xiong; Jinghe Zhang; Yu Huang 015; Kevin Leach; Laura E. Barnes (ACM Trans. Intell. Syst. Technol., 2017)

Cluster-based approach to improve affect recognition from passively sensed data. - Mawulolo K. Ameko; Lihua Cai; Mehdi Boukhechba; Alexander Daros; Philip I. Chow; Bethany A. Teachman; Matthew S. Gerber; Laura E. Barnes (BHI, 2018)

A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. - Mehdi Boukhechba; Sonia Baee; Alicia L. Nobles; Jiaqi Gong; Kristen J. Wells; Laura E. Barnes (BHI, 2018)

Physiological changes over the course of cognitive bias modification for social anxiety. - Mehdi Boukhechba; Jiaqi Gong; Kamran Kowsari; Mawulolo K. Ameko; Karl C. Fua; Philip I. Chow; Yu Huang 015; Bethany A. Teachman; Laura E. Barnes (BHI, 2018)

Identification of Imminent Suicide Risk Among Young Adults using Text Messages. - Alicia L. Nobles; Jeffrey J. Glenn; Kamran Kowsari; Bethany A. Teachman; Laura E. Barnes (CHI, 2018)

Vector Space Representation of Bluetooth Encounters for Mental Health Inference. - Congyu Wu; Lihua Cai; Matthew S. Gerber; Mehdi Boukhechba; Laura E. Barnes (UbiComp/ISWC Adjunct, 2018)

Predictive Models of Sepsis in Adult ICU Patients. - Roman Z. Wang; Catherine H. Sun; Philip H. Schroeder; Mawulolo K. Ameko; Christopher C. Moore; Laura E. Barnes (ICHI, 2018)

RMDL: Random Multimodel Deep Learning for Classification. - Kamran Kowsari; Mojtaba Heidarysafa; Donald E. Brown; Kiana Jafari Meimandi; Laura E. Barnes (ICISDM, 2018)

Analysis of Railway Accidents' Narratives Using Deep Learning. - Mojtaba Heidarysafa; Kamran Kowsari; Laura E. Barnes; Donald E. Brown (ICMLA, 2018)

"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit. - Alicia L. Nobles; Caitlin N. Dreisbach; Jessica Keim-Malpass; Laura E. Barnes (ICWSM, 2018)

Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. - Mehdi Boukhechba; Lihua Cai; Philip I. Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (PervasiveHealth, 2018)

Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. - Sanjana Mendu; Mehdi Boukhechba; Janna R. Gordon; Debajyoti Datta; Edwin Molina; Gloria Arroyo; Sara K. Proctor; Kristen J. Wells; Laura E. Barnes (PervasiveHealth, 2018)

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. - Jinghe Zhang; Kamran Kowsari; James H. Harrison; Jennifer M. Lobo; Laura E. Barnes (IEEE Access, 2018)

Uncertainty in heart rate complexity metrics caused by R-peak perturbations. - Nicholas J. Napoli; Matthew W. Demas; Sanjana Mendu; Chad L. Stephens; Kellie D. Kennedy; Angela R. Harrivel; Randall E. Bailey; Laura E. Barnes (Comput. Biol. Medicine, 2018)

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). - Mojtaba Heidarysafa; Kamran Kowsari; Donald E. Brown; Kiana Jafari Meimandi; Laura E. Barnes (CoRR, 2018)

SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. - Sanjana Mendu; Mehdi Boukhechba; Anna N. Baglione; Sonia Baee; Congyu Wu; Laura E. Barnes (ICSC, 2019)

Adaptive Passive Mobile Sensing Using Reinforcement Learning. - Lihua Cai; Mehdi Boukhechba; Navreet Kaur 001; Congyu Wu; Laura E. Barnes; Matthew S. Gerber (WOWMOM, 2019)

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. - Sonia Baee; Erfan Pakdamanian; Vicente Ordonez; Inki Kim; Lu Feng 001; Laura E. Barnes (CoRR, 2019)

Enabling Smartphone-based Estimation of Heart Rate. - Nutta Homdee; Mehdi Boukhechba; Yixue Wendy Feng; Natalie Kramer; John C. Lach; Laura E. Barnes (CoRR, 2019)

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. - Jiaqi Gong; Yu Huang 015; Philip I. Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (Inf. Fusion, 2019)

Text Classification Algorithms: A Survey. - Kamran Kowsari; Kiana Jafari Meimandi; Mojtaba Heidarysafa; Sanjana Mendu; Laura E. Barnes; Donald E. Brown (Inf., 2019)

SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. - Mehdi Boukhechba; Laura E. Barnes (AHFE (17), 2020)

Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. - Jinghe Zhang; Kamran Kowsari; Mehdi Boukhechba; James H. Harrison; Jennifer M. Lobo; Laura E. Barnes (BIBM, 2020)

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. - Mehrdad Fazli; Kamran Kowsari; Erfaneh Gharavi; Laura E. Barnes; Afsaneh Doryab (IHCI (1), 2020)

A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches. - Sonia Baee; Mark Rucker; Anna N. Baglione; Mawulolo K. Ameko; Laura E. Barnes (PervasiveHealth, 2020)

Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. - Mawulolo K. Ameko; Miranda L. Beltzer; Lihua Cai; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (RecSys, 2020)

Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group. - Mojtaba Heidarysafa; Kamran Kowsari; Tolu Odukoya; Philip Potter; Laura E. Barnes; Donald E. Brown (SAI (2), 2020)

Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. - Mark A. Rucker; Layne T. Watson; Laura E. Barnes; Matthew S. Gerber (CoRR, 2020)

Gender Detection on Social Networks using Ensemble Deep Learning. - Kamran Kowsari; Mojtaba Heidarysafa; Tolu Odukoya; Philip Potter; Laura E. Barnes; Donald E. Brown (CoRR, 2020)

A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches. - Sonia Baee; Mark Rucker; Anna N. Baglione; Mawulolo K. Ameko; Laura E. Barnes (CoRR, 2020)

Geometry matters: Exploring language examples at the decision boundary. - Debajyoti Datta; Shashwat Kumar; Laura E. Barnes; Tom Fletcher (CoRR, 2020)

Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. - Debajyoti Datta; Maria Phillips; Jennifer L. Chiu; Ginger S. Watson; James P. Bywater; Laura E. Barnes; Donald E. Brown (CoRR, 2020)

Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. - Haroon Rashid; Sanjana Mendu; Katharine E. Daniel; Miranda L. Beltzer; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. - Sanjana Mendu; Anna N. Baglione; Sonia Baee; Congyu Wu; Brandon Ng; Adi Shaked; Gerald Clore; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2020)

Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. - Anna N. Baglione; Jiaqi Gong; Mehdi Boukhechba; Kristen J. Wells; Laura E. Barnes (IEEE Pervasive Comput., 2020)

Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback. - Moeen Mostafavi; Fateme Nikseresht; Jacob Earl Resch; Laura E. Barnes; Mehdi Boukhechba (AHFE (17), 2021)

Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (BEA@EACL, 2021)

Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. - Navreet Kaur 001; Manuel Gonzales; Cristian Garcia Alcaraz; Laura E. Barnes; Kristen J. Wells; Jiaqi Gong (BHI, 2021)

Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. - Guimin Dong; Lihua Cai; Shashwat Kumar; Debajyoti Datta; Laura E. Barnes; Mehdi Boukhechba (CHASE, 2021)

Influenza-like symptom recognition using mobile sensing and graph neural networks. - Guimin Dong; Lihua Cai; Debajyoti Datta; Shashwat Kumar; Laura E. Barnes; Mehdi Boukhechba (CHIL, 2021)

MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. - Sonia Baee; Erfan Pakdamanian; Inki Kim; Lu Feng 001; Vicente Ordonez; Laura E. Barnes (ICCV, 2021)

Semi-supervised Graph Instance Transformer for Mental Health Inference. - Guimin Dong; Mingyue Tang; Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (ICMLA, 2021)

A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. - Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (IntelliSys (1), 2021)

LonelyText: A Short Messaging Based Classification of Loneliness. - Mawulolo K. Ameko; Sonia Baee; Laura E. Barnes (CoRR, 2021)

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Zhiyuan Wang 003; Haoyi Xiong; Jie Zhang 059; Sijia Yang; Mehdi Boukhechba; Laura E. Barnes; Daqing Zhang 001 (CoRR, 2021)

Evaluation of mathematical questioning strategies using data collected through weak supervision. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (CoRR, 2021)

Improving mathematical questioning in teacher training. - Debajyoti Datta; Maria Phillips; James P. Bywater; Jennifer L. Chiu; Ginger S. Watson; Laura E. Barnes; Donald E. Brown (CoRR, 2021)

Shape Analysis for Pediatric Upper Body Motor Function Assessment. - Shashwat Kumar; Robert Gutierez; Debajyoti Datta; Sarah Tolman; Allison McCrady; Silvia Blemker; Rebecca J. Scharf; Mehdi Boukhechba; Laura E. Barnes (ISWC, 2022)

mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment. - Anna N. Baglione; Sarah Tolman; Chloe Dapaah; Danielle Johnson; Kristen J. Wells; Richard D. Hall; Ryan D. Gentzler; Laura E. Barnes (PervasiveHealth, 2022)

A Geometrical Approach to Finding Difficult Examples in Language. - Debajyoti Datta; Shashwat Kumar; Laura E. Barnes; P. Thomas Fletcher (TAG-ML, 2022)

Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. - Shashwat Kumar; Debajyoti Datta; Guimin Dong; Lihua Cai; Mehdi Boukhechba; Laura E. Barnes (ACM Trans. Comput. Heal., 2022)

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Zhiyuan Wang 003; Haoyi Xiong; Jie Zhang 059; Sijia Yang; Mehdi Boukhechba; Daqing Zhang 001; Laura E. Barnes; Dejing Dou (IEEE Internet Things J., 2022)

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. - Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (BSN, 2023)

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. - Zhiyuan Wang 003; Mingyue Tang; Maria A. Larrazabal; Emma R. Toner; Mark Rucker; Congyu Wu; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (EMBC, 2023)

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models. - Ezequiel Juarez Garcia; Victoria R. Rodrigues; Mehrdad Fazli; Laura E. Barnes; Nicholas J. Napoli (FUSION, 2023)

Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. - Beatrice Li; Arash Tavakoli; Alan Wang 002; Navreet Kaur 001; Laura E. Barnes; Afsaneh Doryab; Arsalan Heydarian (BuildSys, 2023)

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. - Emma R. Toner; Mark Rucker; Zhiyuan Wang 003; Maria A. Larrazabal; Lihua Cai; Debajyoti Datta; Elizabeth Thompson; Haroon Lone; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (CoRR, 2023)

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. - Guimin Dong; Lihua Cai; Mingyue Tang; Laura E. Barnes; Mehdi Boukhechba (CoRR, 2023)

NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. - Nicholas J. Napoli; Chad L. Stephens; Kellie D. Kennedy; Laura E. Barnes; Ezequiel Juarez Garcia; Angela R. Harrivel (Inf. Fusion, 2023)

Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. - Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (J. Ambient Intell. Humaniz. Comput., 2023)

Graph Neural Networks in IoT: A Survey. - Guimin Dong; Mingyue Tang; Zhiyuan Wang 003; Jiechao Gao; Sikun Guo; Lihua Cai; Robert J. Gutierrez; Bradford Campbell; Laura E. Barnes; Mehdi Boukhechba (ACM Trans. Sens. Networks, 2023)

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. - Zhiyuan Wang 003; Maria A. Larrazabal; Mark Rucker; Emma R. Toner; Katharine E. Daniel; Shashwat Kumar; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech. - Varun Reddy; Zhiyuan Wang 003; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (ACII, 2024)

Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models. - Zhiyuan Wang 003; Varun Reddy; Karen Ingersoll; Tabor Flickinger; Laura E. Barnes (CHI Extended Abstracts, 2024)

A Resource Efficient System for On-Smartwatch Audio Processing. - Md. Sabbir Ahmed; Arafat Rahman; Zhiyuan Wang 003; Mark Rucker; Laura E. Barnes (MobiCom, 2024)

Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. - Haoyi Xiong; Zhiyuan Wang 003; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Shahid Mumtaz; Laura E. Barnes (CoRR, 2024)

PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models. - Zhiyuan Wang 003; Fangxu Yuan; Virginia LeBaron; Tabor Flickinger; Laura E. Barnes (CoRR, 2024)

CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. - Zhiyuan Wang 003; Nusayer Hassan; Virginia LeBaron; Tabor Flickinger; David Ling; James Edwards; Congyu Wu; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2024)

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators. - Maria A. Larrazabal; Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (SMARTCOMP, 2025)

A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function. - Shashwat Kumar; Arafat Rahman; Robert Gutierrez; Sarah Livermon; Allison McCrady; Silvia Blemker; Rebecca J. Scharf; Anuj Srivastava; Laura E. Barnes (CoRR, 2025)

CALLM: Context-Aware Emotion Analysis in Cancer Survivors Using LLMs and Retrieval-Augmented Mobile Diaries. - Zhiyuan Wang 003; Katharine E. Daniel; Laura E. Barnes; Philip I. Chow (CoRR, 2025)

A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach. - Navreet Kaur 001; Manuel Gonzales; Cristian Garcia Alcaraz; Jiaqi Gong; Kristen J. Wells; Laura E. Barnes (CoRR, 2025)

SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions. - Md. Sabbir Ahmed; Arafat Rahman; Mark Rucker; Laura E. Barnes (CoRR, 2025)