Laura E. Barnes
Orcid: 0000-0001-8224-5164
According to our database1,
Laura E. Barnes
authored at least 104 papers
between 2004 and 2024.
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Bibliography
2024
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions.
Proc. ACM Hum. Comput. Interact., 2024
PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models.
CoRR, 2024
CoRR, 2024
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.
CoRR, 2024
Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
Designing adaptive passive personal mobile sensing methods using reinforcement learning framework.
J. Ambient Intell. Humaniz. Comput., 2023
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes.
Inf. Fusion, 2023
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing.
CoRR, 2023
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts.
CoRR, 2023
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models.
Proceedings of the 26th International Conference on Information Fusion, 2023
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J., 2022
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19.
ACM Trans. Comput. Heal., 2022
Proceedings of the Topological, 2022
mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022
2021
Evaluation of mathematical questioning strategies using data collected through weak supervision.
CoRR, 2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
CoRR, 2021
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning.
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, 2021
Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback.
Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2021
2020
Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence.
IEEE Pervasive Comput., 2020
A Framework for Understanding the Relationship between Social Media Discourse and Mental Health.
Proc. ACM Hum. Comput. Interact., 2020
Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education.
CoRR, 2020
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches.
CoRR, 2020
CoRR, 2020
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group.
Proceedings of the Intelligent Computing, 2020
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches.
Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020
Proceedings of the Intelligent Human Computer Interaction, 2020
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2020
2019
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.
Inf. Fusion, 2019
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles.
CoRR, 2019
Proceedings of the 20th IEEE International Symposium on "A World of Wireless, 2019
SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019
2018
CoRR, 2018
Comput. Biol. Medicine, 2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record.
IEEE Access, 2018
Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Physiological changes over the course of cognitive bias modification for social anxiety.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
<i>Daehr</i>: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders.
ACM Trans. Intell. Syst. Technol., 2017
IEEE Commun. Mag., 2017
Proceedings of the 1st Workshop on Digital Biomarkers, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission.
Proceedings of the AMIA 2017, 2017
2016
IEEE Trans. Mob. Comput., 2016
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
CoRR, 2016
A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems.
Proceedings of the Intelligent Virtual Agents - 16th International Conference, 2016
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016
Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers.
Proceedings of the AMIA 2016, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
BMC Medical Informatics Decis. Mak., 2015
Hum. Factors, 2015
Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner.
Proceedings of the 18th International Conference on Information Fusion, 2015
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Evaluation of data quality of multisite electronic health record data for secondary analysis.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data.
Proceedings of the AMIA 2015, 2015
Proceedings of the AMIA 2015, 2015
2014
User Preferences Influencing the Design of a Tailored Virtual Patient Educator in a Latina Farm Worker Community.
Proceedings of the AMIA 2014, 2014
2012
Towards a classification model to identify hospice candidates in terminally ill patients.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients.
BMC Medical Informatics Decis. Mak., 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Rough Set Theory based prognostication of life expectancy for terminally ill patients.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
2008
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
2004
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004