Laura E. Barnes

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 99

Top Venues

Publications

Zhiyuan Wang, Varun Reddy, Karen Ingersoll, Tabor Flickinger, Laura E. Barnes
Rapport Matters: Enhancing HIV mHealth Communication through Linguistic Analysis and Large Language Models. CHI Extended Abstracts (2024)
Varun Reddy, Zhiyuan Wang, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech. CoRR (2024)
Zhiyuan Wang, Nusayer Hassan, Virginia LeBaron, Tabor Flickinger, David Ling, James Edwards, Congyu Wu, Mehdi Boukhechba, Laura E. Barnes
CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. CoRR (2024)
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. CoRR (2024)
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. CoRR (2023)
Zhiyuan Wang, Maria A. Larrazabal, Mark Rucker, Emma R. Toner, Katharine E. Daniel, Shashwat Kumar, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Emma R. Toner, Mark Rucker, Zhiyuan Wang, Maria A. Larrazabal, Lihua Cai, Debajyoti Datta, Elizabeth Thompson, Haroon Lone, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. CoRR (2023)
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert J. Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
Graph Neural Networks in IoT: A Survey. ACM Trans. Sens. Networks 19 (2) (2023)
Ezequiel Juarez Garcia, Victoria R. Rodrigues, Mehrdad Fazli, Laura E. Barnes, Nicholas J. Napoli
Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models. FUSION (2023)
Nicholas J. Napoli, Chad L. Stephens, Kellie D. Kennedy, Laura E. Barnes, Ezequiel Juarez Garcia, Angela R. Harrivel
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. Inf. Fusion 91 (2023)
Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. EMBC (2023)
Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. CoRR (2023)
Beatrice Li, Arash Tavakoli, Alan Wang, Navreet Kaur, Laura E. Barnes, Afsaneh Doryab, Arsalan Heydarian
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. BuildSys@SenSys (2023)
Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. J. Ambient Intell. Humaniz. Comput. 14 (4) (2023)
Zhiyuan Wang, Mark Rucker, Emma R. Toner, Maria A. Larrazabal, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. BSN (2023)
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet Things J. 9 (17) (2022)
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
Graph Neural Networks in IoT: A Survey. CoRR (2022)
Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, P. Thomas Fletcher
A Geometrical Approach to Finding Difficult Examples in Language. TAG-ML (2022)
Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Mehdi Boukhechba, Laura E. Barnes
Shape Analysis for Pediatric Upper Body Motor Function Assessment. ISWC (2022)
Anna N. Baglione, Sarah Tolman, Chloe Dapaah, Danielle Johnson, Kristen J. Wells, Richard D. Hall, Ryan D. Gentzler, Laura E. Barnes
mHealth for Medication and Side Effect Monitoring: Patients' Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment. PervasiveHealth (2022)
Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura E. Barnes
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. ACM Trans. Comput. Heal. 3 (4) (2022)
Shashwat Kumar, Robert Gutierez, Debajyoti Datta, Sarah Tolman, Allison McCrady, Silvia Blemker, Rebecca J. Scharf, Laura E. Barnes
Shape Analysis for Pediatric Upper Body Motor Function Assessment. CoRR (2022)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Evaluation of mathematical questioning strategies using data collected through weak supervision. CoRR (2021)
Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. ICCV (2021)
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba
Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback. AHFE (17) (2021)
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. CoRR (2021)
Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Mehdi Boukhechba
Influenza-like symptom recognition using mobile sensing and graph neural networks. CHIL (2021)
Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Laura E. Barnes, Kristen J. Wells, Jiaqi Gong
Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. BHI (2021)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Improving mathematical questioning in teacher training. CoRR (2021)
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura E. Barnes, Mehdi Boukhechba
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. CoRR (2021)
Guimin Dong, Lihua Cai, Shashwat Kumar, Debajyoti Datta, Laura E. Barnes, Mehdi Boukhechba
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. CHASE (2021)
Debajyoti Datta, Maria Phillips, James P. Bywater, Jennifer L. Chiu, Ginger S. Watson, Laura E. Barnes, Donald E. Brown
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. BEA@EACL (2021)
Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes
LonelyText: A Short Messaging Based Classification of Loneliness. CoRR (2021)
Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
Semi-supervised Graph Instance Transformer for Mental Health Inference. ICMLA (2021)
Lihua Cai, Laura E. Barnes, Mehdi Boukhechba
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. IntelliSys (1) (2021)
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches. CoRR (2020)
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. CoRR (2020)
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. CoRR (2020)
Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. RecSys (2020)
Haroon Rashid, Sanjana Mendu, Katharine E. Daniel, Miranda L. Beltzer, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (3) (2020)
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. IHCI (1) (2020)
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. CoRR (2020)
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. BIBM (2020)
Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Tom Fletcher
Geometry matters: Exploring language examples at the decision boundary. CoRR (2020)
Mehdi Boukhechba, Laura E. Barnes
SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. AHFE (17) (2020)
Sanjana Mendu, Anna N. Baglione, Sonia Baee, Congyu Wu, Brandon Ng, Adi Shaked, Gerald Clore, Mehdi Boukhechba, Laura E. Barnes
A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Gender Detection on Social Networks using Ensemble Deep Learning. CoRR (2020)
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group. SAI (2) (2020)
Anna N. Baglione, Jiaqi Gong, Mehdi Boukhechba, Kristen J. Wells, Laura E. Barnes
Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Comput. 19 (3) (2020)
Sonia Baee, Mark Rucker, Anna N. Baglione, Mawulolo K. Ameko, Laura E. Barnes
A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches. PervasiveHealth (2020)
Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. CoRR (2020)
Debajyoti Datta, Maria Phillips, Jennifer L. Chiu, Ginger S. Watson, James P. Bywater, Laura E. Barnes, Donald E. Brown
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. CoRR (2020)
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
Text Classification Algorithms: A Survey. Inf. 10 (4) (2019)
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
Text Classification Algorithms: A Survey. CoRR (2019)
Sanjana Mendu, Mehdi Boukhechba, Anna N. Baglione, Sonia Baee, Congyu Wu, Laura E. Barnes
SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. ICSC (2019)
Sonia Baee, Erfan Pakdamanian, Vicente Ordonez, Inki Kim, Lu Feng, Laura E. Barnes
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. CoRR (2019)
Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. Inf. Fusion 49 (2019)
Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber
Adaptive Passive Mobile Sensing Using Reinforcement Learning. WOWMOM (2019)
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group. CoRR (2019)
Nutta Homdee, Mehdi Boukhechba, Yixue Wendy Feng, Natalie Kramer, John C. Lach, Laura E. Barnes
Enabling Smartphone-based Estimation of Heart Rate. CoRR (2019)
Nicholas J. Napoli, Matthew W. Demas, Sanjana Mendu, Chad L. Stephens, Kellie D. Kennedy, Angela R. Harrivel, Randall E. Bailey, Laura E. Barnes
Uncertainty in heart rate complexity metrics caused by R-peak perturbations. Comput. Biol. Medicine 103 (2018)
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
RMDL: Random Multimodel Deep Learning for Classification. CoRR (2018)
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes
Cluster-based approach to improve affect recognition from passively sensed data. BHI (2018)
Alicia L. Nobles, Jeffrey J. Glenn, Kamran Kowsari, Bethany A. Teachman, Laura E. Barnes
Identification of Imminent Suicide Risk Among Young Adults using Text Messages. CHI (2018)
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
RMDL: Random Multimodel Deep Learning for Classification. ICISDM (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
Analysis of Railway Accidents' Narratives Using Deep Learning. CoRR (2018)
Mehdi Boukhechba, Sonia Baee, Alicia L. Nobles, Jiaqi Gong, Kristen J. Wells, Laura E. Barnes
A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. BHI (2018)
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl C. Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes
Physiological changes over the course of cognitive bias modification for social anxiety. BHI (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). CoRR (2018)
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data. CoRR (2018)
Roman Z. Wang, Catherine H. Sun, Philip H. Schroeder, Mawulolo K. Ameko, Christopher C. Moore, Laura E. Barnes
Predictive Models of Sepsis in Adult ICU Patients. ICHI (2018)
Congyu Wu, Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes
Vector Space Representation of Bluetooth Encounters for Mental Health Inference. UbiComp/ISWC Adjunct (2018)
Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes
"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit. ICWSM (2018)
Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. PervasiveHealth (2018)
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
Analysis of Railway Accidents' Narratives Using Deep Learning. ICMLA (2018)
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. IEEE Access 6 (2018)
Sanjana Mendu, Mehdi Boukhechba, Janna R. Gordon, Debajyoti Datta, Edwin Molina, Gloria Arroyo, Sara K. Proctor, Kristen J. Wells, Laura E. Barnes
Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. PervasiveHealth (2018)
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. CoRR (2018)
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
HDLTex: Hierarchical Deep Learning for Text Classification. ICMLA (2017)
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. BHI (2017)
J. Vince Pulido, Mary-Anne Fields, Laura E. Barnes
On-the-fly Learning and Monitoring of Partially Observed Navigation Plan. AAMAS (2017)
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. DigitalBioMarker@MobiSys (2017)
Nicholas J. Napoli, Madeline E. Kotoriy, William Barnhardt, Jeffrey S. Young, Laura E. Barnes
Addressing bias from non-random missing attributes in health data. BHI (2017)
Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, Laura E. Barnes
Near-Optimal Incentive Allocation for Piggyback Crowdsensing. IEEE Commun. Mag. 55 (6) (2017)
Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes
: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders. ACM Trans. Intell. Syst. Technol. 8 (3) (2017)
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR (2017)
Jinghe Zhang, Jiaqi Gong, Laura E. Barnes
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. CHASE (2017)
Mehdi Boukhechba, Yu Huang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
Monitoring social anxiety from mobility and communication patterns. UbiComp/ISWC Adjunct (2017)
Julia Lensing, Ketki Vilankar, Hyojung Kang, Donald E. Brown, Amy Mathers, Laura E. Barnes
Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. AMIA (2017)
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. UbiComp (2016)
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
Assessing social anxiety using gps trajectories and point-of-interest data. UbiComp (2016)
Nicholas J. Napoli, Laura E. Barnes
A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. FLAIRS Conference (2016)
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton
Graph-based classification of healthcare provider activity. ACSSC (2016)
Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes
A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems. IVA (2016)
Haoyi Xiong, Yanjie Fu, Wenqing Hu, Guanling Chen, Laura E. Barnes
Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis. CoRR (2016)
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing. IEEE Trans. Mob. Comput. 15 (8) (2016)
Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes
Automated Evaluation and Training for Interprofessional Education using Virtual Patients and Providers. AMIA (2016)
Philip Chow, Wesley Bonelli, Yu Huang, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms. UbiComp Adjunct (2016)
Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer
A MapReduce framework to improve template matching uncertainty. BigComp (2016)
Jinghe Zhang, Hao Wu, James Turner, Adrienne Keller, Laura E. Barnes
Predicting Future Anxiety and Depression Diagnoses among College Students Utilizing Electronic Health Data. AMIA (2015)

Laura E. Barnes.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Laura E. Barnes