Laura E. Barnes

132 papers A* 4A 5B 5C 8Misc 10Journal 64Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Editors' Introduction to the Issue, March 2026.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Thomas Ploetz, Lena Mamykina, Laura E. Barnes, Sarah Clinch, Franca Delmastro, Uichin Lee, Alanson P. Sample, Stephan Sigg, Edison Thomaz, Kristof Van Laerhoven, Nadir Weibel, Chenren Xu, Fusang Zhang
2026 A* conf
Inferring Affect and Intervention Opportunities for Cancer Survivors from Digital Diaries with Context-Aware LLMs.
CHI
Zhiyuan Wang, Katharine E. Daniel, Laura E. Barnes, Philip Chow
2026 J jnl
SocialPulse: On-Device Detection of Social Interactions in Naturalistic Settings Using Smartwatch Multimodal Sensing.
CoRR
Md. Sabbir Ahmed, Kaitlyn Petz, Noah French, Tanvi Lakhtakia, Aayushi Sangani, Mark Rucker, Xinyu Chen, Bethany A. Teachman, Laura E. Barnes
2025 J jnl
A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function.
CoRR
Shashwat Kumar, Arafat Rahman, Robert Gutierrez, Sarah Livermon, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Anuj Srivastava, Laura E. Barnes
2025 J jnl
A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach.
CoRR
Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Jiaqi Gong, Kristen J. Wells, Laura E. Barnes
2025 J jnl
CALLM: Context-Aware Emotion Analysis in Cancer Survivors Using LLMs and Retrieval-Augmented Mobile Diaries.
CoRR
Zhiyuan Wang, Katharine E. Daniel, Laura E. Barnes, Philip I. Chow
2025 J jnl
Multimodal Sensing and Modeling of Endocrine Therapy Adherence in Breast Cancer Survivors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Fangxu Yuan, Navreet Kaur, Zhiyuan Wang, Manuel Gonzales, Cristian Garcia Alcaraz, Gabriel Estrella, Kristen J. Wells, Laura E. Barnes
2025 — conf
SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions.
UbiComp Companion
Md. Sabbir Ahmed, Arafat Rahman, Mark Rucker, Laura E. Barnes
2025 J jnl
SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions.
CoRR
Md. Sabbir Ahmed, Arafat Rahman, Mark Rucker, Laura E. Barnes
2025 B conf
Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators.
SMARTCOMP
Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker, Emma R. Toner, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2025 J jnl
Understanding State Social Anxiety in Virtual Social Interactions using Multimodal Wearable Sensing Indicators.
CoRR
Maria A. Larrazabal, Zhiyuan Wang, Mark Rucker, Emma R. Toner, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2025 C conf
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data.
BSN
Md. Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2025 J jnl
WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data.
CoRR
Md. Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2025 J jnl
Wearable Sensor-Based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom.
IEEE Trans. Affect. Comput.
Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Haroon R. Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2024 A* conf
A Resource Efficient System for On-Smartwatch Audio Processing.
MobiCom
Md. Sabbir Ahmed, Arafat Rahman, Zhiyuan Wang, Mark Rucker, Laura E. Barnes
2024 B conf
AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech.
ACII
Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2024 J jnl
AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech.
CoRR
Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2024 J jnl
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions.
CoRR
Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron, Tabor Flickinger, David Ling, James Edwards, Congyu Wu, Mehdi Boukhechba, Laura E. Barnes
2024 J jnl
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions.
Proc. ACM Hum. Comput. Interact.
Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron, Tabor Flickinger, David Ling, James Edwards, Congyu Wu, Mehdi Boukhechba, Laura E. Barnes
2024 J jnl
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.
CoRR
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
2024 J jnl
PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models.
CoRR
Zhiyuan Wang, Fangxu Yuan, Virginia LeBaron, Tabor Flickinger, Laura E. Barnes
2024 — conf
Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models.
CHI Extended Abstracts
Zhiyuan Wang, Varun Reddy, Karen Ingersoll, Tabor Flickinger, Laura E. Barnes
2023 J jnl
Designing adaptive passive personal mobile sensing methods using reinforcement learning framework.
J. Ambient Intell. Humaniz. Comput.
Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
2023 J jnl
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E. Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2023 C conf
Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models.
FUSION
Ezequiel Juarez Garcia, Victoria R. Rodrigues, Mehrdad Fazli, Laura E. Barnes, Nicholas J. Napoli
2023 J jnl
Graph Neural Networks in IoT: A Survey.
ACM Trans. Sens. Networks
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2023 J jnl
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing.
CoRR
Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba
2023 — conf
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring.
BuildSys
Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian
2023 J jnl
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes.
Inf. Fusion
Nicholas J. Napoli, Chad L. Stephens, Kellie D. Kennedy, Laura E. Barnes, Ezequiel Juarez Garcia, Angela R. Harrivel
2023 — conf
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.
EMBC
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
2023 J jnl
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.
CoRR
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
2023 C conf
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.
BSN
Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2023 J jnl
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts.
CoRR
Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon R. Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2022 — conf
A Geometrical Approach to Finding Difficult Examples in Language.
TAG-ML
Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, P. Thomas Fletcher
2022 J jnl
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J.
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou
2022 J jnl
Graph Neural Networks in IoT: A Survey.
CoRR
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
2022 J jnl
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19.
ACM Trans. Comput. Heal.
Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes
2022 Misc conf
Shape Analysis for Pediatric Upper Body Motor Function Assessment.
ISWC
Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Mehdi Boukhechba, Laura E. Barnes
2022 J jnl
Shape Analysis for Pediatric Upper Body Motor Function Assessment.
CoRR
Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Mehdi Boukhechba, Laura E. Barnes
2022 — conf
mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment.
PervasiveHealth
Anna N. Baglione, Sarah Tolman, Chloe Dapaah, Danielle Johnson, Kristen J. Wells, Richard D. Hall, Ryan D. Gentzler, Laura E. Barnes
2021 — conf
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning.
IntelliSys (1)
Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
2021 — conf
Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback.
AHFE (17)
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba
2021 J jnl
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback.
CoRR
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba
2021 B conf
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19.
CHASE
Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba
2021 J jnl
Evaluation of mathematical questioning strategies using data collected through weak supervision.
CoRR
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
2021 J jnl
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
CoRR
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang
2021 J jnl
Improving mathematical questioning in teacher training.
CoRR
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
2021 — conf
Influenza-like symptom recognition using mobile sensing and graph neural networks.
CHIL
Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba
2021 J jnl
LonelyText: A Short Messaging Based Classification of Loneliness.
CoRR
Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes
2021 A* conf
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning.
ICCV
Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes
2021 C conf
Semi-supervised Graph Instance Transformer for Mental Health Inference.
ICMLA
Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
2021 — conf
Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior.
BHI
Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Laura E. Barnes, Kristen J. Wells, Jiaqi Gong
2021 — conf
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents.
BEA@EACL
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
2020 J jnl
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches.
CoRR
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
2020 — conf
A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches.
PervasiveHealth
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
2020 J jnl
A Framework for Understanding the Relationship between Social Media Discourse and Mental Health.
Proc. ACM Hum. Comput. Interact.
Sanjana Mendu, Anna N. Baglione, Sonia Baee, Congyu Wu, Brandon Ng, Adi Shaked, Gerald Clore, Mehdi Boukhechba, Laura E. Barnes
2020 J jnl
Gender Detection on Social Networks using Ensemble Deep Learning.
CoRR
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
2020 J jnl
Geometry matters: Exploring language examples at the decision boundary.
CoRR
Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Tom Fletcher
2020 — conf
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.
IHCI (1)
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
2020 J jnl
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.
CoRR
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
2020 J jnl
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning.
CoRR
Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber
2020 J jnl
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education.
CoRR
Debajyoti Datta, Maria Phillips, Jennifer L. Chiu, Ginger S. Watson, James P. Bywater, Laura E. Barnes, Donald E. Brown
2020 J jnl
Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence.
IEEE Pervasive Comput.
Anna N. Baglione, Jiaqi Gong, Mehdi Boukhechba, Kristen J. Wells, Laura E. Barnes
2020 A conf
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation.
RecSys
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2020 J jnl
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation.
CoRR
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2020 J jnl
Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Haroon Rashid, Sanjana Mendu, Katharine E. Daniel, Miranda L. Beltzer, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
2020 — conf
SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches.
AHFE (17)
Mehdi Boukhechba, Laura E. Barnes
2020 — conf
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients.
BIBM
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
2020 J jnl
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients.
CoRR
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
2020 — conf
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group.
SAI (2)
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
2019 C conf
Adaptive Passive Mobile Sensing Using Reinforcement Learning.
WOWMOM
Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber
2019 J jnl
Enabling Smartphone-based Estimation of Heart Rate.
CoRR
Nutta Homdee, Mehdi Boukhechba, Yixue Wendy Feng, Natalie Kramer, John C. Lach, Laura E. Barnes
2019 J jnl
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles.
CoRR
Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes
2019 — conf
SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health.
ICSC
Sanjana Mendu, Mehdi Boukhechba, Anna N. Baglione, Sonia Baee, Congyu Wu, Laura E. Barnes
2019 J jnl
Text Classification Algorithms: A Survey.
CoRR
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
2019 J jnl
Text Classification Algorithms: A Survey.
Inf.
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
2019 J jnl
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.
Inf. Fusion
Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
2019 J jnl
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group.
CoRR
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
2018 A conf
"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit.
ICWSM
Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes
2018 — conf
A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors.
BHI
Mehdi Boukhechba, Sonia Baee, Alicia L. Nobles, Jiaqi Gong, Kristen J. Wells, Laura E. Barnes
2018 J jnl
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL).
CoRR
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
2018 C conf
Analysis of Railway Accidents' Narratives Using Deep Learning.
ICMLA
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
2018 J jnl
Analysis of Railway Accidents' Narratives Using Deep Learning.
CoRR
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
2018 J jnl
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data.
CoRR
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes
2018 — conf
Cluster-based approach to improve affect recognition from passively sensed data.
BHI
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes
2018 — conf
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment.
PervasiveHealth
Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
2018 — conf
Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer.
PervasiveHealth
Sanjana Mendu, Mehdi Boukhechba, Janna R. Gordon, Debajyoti Datta, Edwin Molina, Gloria Arroyo, Sara K. Proctor, Kristen J. Wells, Laura E. Barnes
2018 A* conf
Identification of Imminent Suicide Risk Among Young Adults using Text Messages.
CHI
Alicia L. Nobles, Jeffrey J. Glenn, Kamran Kowsari, Bethany A. Teachman, Laura E. Barnes
2018 J jnl
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record.
IEEE Access
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
2018 J jnl
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record.
CoRR
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
2018 — conf
Physiological changes over the course of cognitive bias modification for social anxiety.
BHI
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl C. Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes
2018 — conf
Predictive Models of Sepsis in Adult ICU Patients.
ICHI
Roman Z. Wang, Catherine H. Sun, Philip H. Schroeder, Mawulolo K. Ameko, Christopher C. Moore, Laura E. Barnes
2018 — conf
RMDL: Random Multimodel Deep Learning for Classification.
ICISDM
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
2018 J jnl
RMDL: Random Multimodel Deep Learning for Classification.
CoRR
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
2018 J jnl
Uncertainty in heart rate complexity metrics caused by R-peak perturbations.
Comput. Biol. Medicine
Nicholas J. Napoli, Matthew W. Demas, Sanjana Mendu, Chad L. Stephens, Kellie D. Kennedy, Angela R. Harrivel, Randall E. Bailey, Laura E. Barnes
2018 — conf
Vector Space Representation of Bluetooth Encounters for Mental Health Inference.
UbiComp/ISWC Adjunct
Congyu Wu, Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes
2017 — conf
Addressing bias from non-random missing attributes in health data.
BHI
Nicholas J. Napoli, Madeline E. Kotoriy, William Barnhardt, Jeffrey S. Young, Laura E. Barnes
2017 — conf
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.
DigitalBioMarker@MobiSys
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
2017 — conf
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
BHI
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong
2017 Misc conf
Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission.
AMIA
Julia Lensing, Ketki Vilankar, Hyojung Kang, Donald E. Brown, Amy Mathers, Laura E. Barnes
2017 B conf
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records.
CHASE
Jinghe Zhang, Jiaqi Gong, Laura E. Barnes
2017 C conf
HDLTex: Hierarchical Deep Learning for Text Classification.
ICMLA
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
2017 J jnl
HDLTex: Hierarchical Deep Learning for Text Classification.
CoRR
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
2017 — conf
Monitoring social anxiety from mobility and communication patterns.
UbiComp/ISWC Adjunct
Mehdi Boukhechba, Yu Huang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2017 J jnl
Near-Optimal Incentive Allocation for Piggyback Crowdsensing.
IEEE Commun. Mag.
Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, Laura E. Barnes
2017 A conf
On-the-fly Learning and Monitoring of Partially Observed Navigation Plan.
AAMAS
J. Vince Pulido, Mary-Anne Fields, Laura E. Barnes
2016 B conf
A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems.
IVA
Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes
2016 Misc conf
A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals.
FLAIRS
Nicholas J. Napoli, Laura E. Barnes
2016 — conf
A MapReduce framework to improve template matching uncertainty.
BigComp
Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer
2016 Misc conf
Assessing social anxiety using gps trajectories and point-of-interest data.
UbiComp
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 Misc conf
Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers.
AMIA
Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes
2016 — conf
DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms.
UbiComp Adjunct
Philip Chow, Wesley Bonelli, Yu Huang, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 Misc conf
Graph-based classification of healthcare provider activity.
ACSSC
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton
2016 J jnl
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR
Haoyi Xiong, Yanjie Fu, Wenqing Hu, Guanling Chen, Laura E. Barnes
2016 Misc conf
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.
UbiComp
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber
2016 J jnl
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing.
IEEE Trans. Mob. Comput.
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes
2015 C conf
Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner.
FUSION
Nicholas J. Napoli, Laura E. Barnes, Kamal Premaratne
2015 J jnl
Effects of Stereoscopic Depth on Vigilance Performance and Cerebral Hemodynamics.
Hum. Factors
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
2015 — conf
Evaluation of data quality of multisite electronic health record data for secondary analysis.
IEEE BigData
Alicia L. Nobles, Ketki Vilankar, Hao Wu, Laura E. Barnes
2015 — conf
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
IEEE BigData
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
2015 Misc conf
Opportunities for Social Media within Consumer Health Informatics.
AMIA
Rupa Valdez, Sahiti Myneni, Andrea L. Hartzler, Lena Mamykina, Nathan K. Cobb, Laura E. Barnes
2015 Misc conf
Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data.
AMIA
Jinghe Zhang, Hao Wu, James Turner, Adrienne Keller, Laura E. Barnes
2015 J jnl
Rough set theory based prognostic classification models for hospice referral.
BMC Medical Informatics Decis. Mak.
Eleazar Gil-Herrera, Garrick Aden-Buie, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic
2014 Misc conf
User Preferences Influencing the Design of a Tailored Virtual Patient Educator in a Latina Farm Worker Community.
AMIA
Bijan Morshedi, Alexis V. Chaet, Cameron Brown, Gloria Arroyo, Sara K. Proctor, Rupa Valdez, Kristen J. Wells, Laura E. Barnes
2012 — conf
Towards a classification model to identify hospice candidates in terminally ill patients.
EMBC
Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic
2011 — conf
Designing patient-centric applications for chronic disease management.
EMBC
Athanasios Tsalatsanis, Eleazar Gil-Herrera, Ali Yalcin, Benjamin Djulbegovic, Laura E. Barnes
2011 J jnl
Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients.
BMC Medical Informatics Decis. Mak.
Athanasios Tsalatsanis, Laura E. Barnes, Iztok Hozo, Benjamin Djulbegovic
2011 — conf
Rough Set Theory based prognostication of life expectancy for terminally ill patients.
EMBC
Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic
2010 J jnl
Multi-UAV Simulator Utilizing X-Plane.
J. Intell. Robotic Syst.
Richard Garcia, Laura E. Barnes
2009 A conf
Effective robot team control methodologies for battlefield applications.
IROS
Mary-Anne Fields, Ellen C. Haas, Susan Hill, Chris Stachowiak, Laura E. Barnes
2009 J jnl
Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions.
IEEE Trans. Syst. Man Cybern. Part B
Laura E. Barnes, Mary-Anne Fields, Kimon P. Valavanis
2008 A conf
Swarm formation control utilizing ground and aerial unmanned systems.
IROS
Laura E. Barnes, Richard Garcia, Mary-Anne Fields, Kimon P. Valavanis