Laura E. Barnes

Orcid: 0000-0001-8224-5164

According to our database1, Laura E. Barnes authored at least 99 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Graph Neural Networks in IoT: A Survey.
ACM Trans. Sens. Networks, May, 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

Shape Analysis for Pediatric Upper Body Motor Function Assessment.
CoRR, 2022

A Geometrical Approach to Finding Difficult Examples in Language.
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

Shape Analysis for Pediatric Upper Body Motor Function Assessment.
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Improving mathematical questioning in teacher training.
CoRR, 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

LonelyText: A Short Messaging Based Classification of Loneliness.
CoRR, 2021

A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning.
Proceedings of the Intelligent Systems and Applications, 2021

Semi-supervised Graph Instance Transformer for Mental Health Inference.
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

Influenza-like symptom recognition using mobile sensing and graph neural networks.
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

Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents.
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

Geometry matters: Exploring language examples at the decision boundary.
CoRR, 2020

A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches.
CoRR, 2020

Gender Detection on Social Networks using Ensemble Deep Learning.
CoRR, 2020

Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning.
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

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.
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

SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches.
Proceedings of the Advances in Usability, User Experience, Wearable and Assistive Technology, 2020

2019
Text Classification Algorithms: A Survey.
Inf., 2019

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.
Inf. Fusion, 2019

Enabling Smartphone-based Estimation of Heart Rate.
CoRR, 2019

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles.
CoRR, 2019

Adaptive Passive Mobile Sensing Using Reinforcement Learning.
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
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL).
CoRR, 2018

Uncertainty in heart rate complexity metrics caused by R-peak perturbations.
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

Analysis of Railway Accidents' Narratives Using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

RMDL: Random Multimodel Deep Learning for Classification.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

Predictive Models of Sepsis in Adult ICU Patients.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Vector Space Representation of Bluetooth Encounters for Mental Health Inference.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Identification of Imminent Suicide Risk Among Young Adults using Text Messages.
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

Cluster-based approach to improve affect recognition from passively sensed data.
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

Near-Optimal Incentive Allocation for Piggyback Crowdsensing.
IEEE Commun. Mag., 2017

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.
Proceedings of the 1st Workshop on Digital Biomarkers, 2017

HDLTex: Hierarchical Deep Learning for Text Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Monitoring social anxiety from mobility and communication patterns.
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

Addressing bias from non-random missing attributes in health data.
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

On-the-fly Learning and Monitoring of Partially Observed Navigation Plan.
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
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing.
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

Assessing social anxiety using gps trajectories and point-of-interest data.
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

A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

A MapReduce framework to improve template matching uncertainty.
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

Graph-based classification of healthcare provider activity.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Rough set theory based prognostic classification models for hospice referral.
BMC Medical Informatics Decis. Mak., 2015

Effects of Stereoscopic Depth on Vigilance Performance and Cerebral Hemodynamics.
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

Opportunities for Social Media within Consumer Health Informatics.
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

Designing patient-centric applications for chronic disease management.
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
Multi-UAV Simulator Utilizing X-Plane.
J. Intell. Robotic Syst., 2010

2009
Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Effective robot team control methodologies for battlefield applications.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

2008
Swarm formation control utilizing ground and aerial unmanned systems.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2004
Evidence of the need for social intelligence in rescue robots.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004


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