Publications - Link Lab

Laura E. Barnes Publications

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2024 (3)
Eberle, J. W.; Daniel, K. E.; Baee, S.; Silverman, A. L.; Lewis, E.; Baglione, A.; Werntz, A.; French, N. J; Ji, J. L.; Hohensee, N.; Tong, X.; Huband, J. M.; Boukhechba, M.; Funk, D. C.; Barnes, L. E. ; and Teachman, B. A. Web-Based Interpretation Bias Training to Reduce Anxiety: A Sequential, Multiple-Assignment Randomized Trial. Unknown Journal . 2024.
Web-Based Interpretation Bias Training to Reduce Anxiety: A Sequential, Multiple-Assignment Randomized Trial [link] Paper link bibtex
de la Garza Evia, Á. F. V.; Eberle, J. W.; Baee, S.; Wolfe, E.; Boukhechba, M.; Funk, D. C.; Teachman, B. A.; and Barnes, L. E. Behavioral Engagement and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety. Unknown Journal . 2024.
Behavioral Engagement and Psychosocial Outcomes in Web-Based Interpretation Bias Training for Anxiety [link] Paper link bibtex
Aufderheide, B.; Barnes, L. E. ; Nare, O. E.; Louis, G.; and Fairley, D. Ethics Case Study Project: Broadening STEM Participation by Normalizing Immersion of Diverse Groups in Peer to Near Peer Collaborations. Unknown Journal . 2024.
Ethics Case Study Project: Broadening STEM Participation by Normalizing Immersion of Diverse Groups in Peer to Near Peer Collaborations [link] Paper link bibtex
2023 (30)
Dong, G.; Tang, M.; Wang, Z.; Gao, J.; Guo, S.; Cai, L.; Gutiérrez, R.; Campbell, B.; Barnes, L. E. ; and Boukhechba, M. Graph Neural Networks in IoT: A Survey. ACM transactions on sensor networks . 2023.
Graph Neural Networks in IoT: A Survey [link] Paper link bibtex
Napoli, N. J.; Stephens, C.; Kennedy, K. D.; Barnes, L. E. ; Garcia, E. J.; and Harrivel, A. R. NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. Information fusion (Print) . 2023.
NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes [link] Paper link bibtex
Eberle, J. W.; Boukhechba, M.; Sun, J.; Zhang, D.; Funk, D. H.; Barnes, L. E. ; and Teachman, B. A. Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial. Clinical psychological science (Print) . 2023.
Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial [link] Paper link bibtex
Daniel, K. E.; Larrazabal, M. A.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. State and Trait Emotion Regulation Diversity in Social Anxiety. Clinical psychological science (Print) . 2023.
State and Trait Emotion Regulation Diversity in Social Anxiety [link] Paper link bibtex
Silverman, A. L.; Boggs, J. M.; Eberle, J. W.; Baldwin, M. E.; Behan, H. C.; Baglione, A.; Paolino, V.; de la Garza Evia, Á. F. V.; Boukhechba, M.; Barnes, L. E. ; Funk, D. H.; and Teachman, B. A. Minimal effect of messaging on engagement in a digital anxiety intervention. Professional psychology, research and practice . 2023.
Minimal effect of messaging on engagement in a digital anxiety intervention. [link] Paper link bibtex
Baee, S.; Eberle, J. W.; Baglione, A.; Spears, T.; Lewis, E.; Behan, H. C.; Wang, H.; Funk, D. H.; Teachman, B. A.; and Barnes, L. E. Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking (Preprint). Unknown Journal . 2023.
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking (Preprint) [link] Paper link bibtex
Li, B.; Tavakoli, A.; Wang, A.; Kaur, N.; Barnes, L. E. ; Doryab, A.; and Heydarian, A. Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. Unknown Journal . 2023.
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring [link] Paper link bibtex
Flickinger, T.; LeBaron, V.; Boukhechba, M.; Edwards, J. A.; Wang, Z.; Ling, D. C.; Wilson, D. J.; and Barnes, L. E. Evidence-based approach to designing wearable technology to improve patient-clinician communication. Patient education and counseling . 2023.
Evidence-based approach to designing wearable technology to improve patient-clinician communication [link] Paper link bibtex
Schmitt, T. N.; Larrazabal, M. A.; Eberle, J. W.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Relationship Between Interpretation Bias, Racial or Ethnic Identity, and COVID-19 Anxiety. Unknown Journal . 2023.
Relationship Between Interpretation Bias, Racial or Ethnic Identity, and COVID-19 Anxiety [link] Paper link bibtex
Toner, E. R.; Rucker, M.; Wang, Z.; Larrazabal, M. A.; Liu, C.; Datta, D.; Thompson, E.; Lone, H.; Boukhechba, M.; Teachman, B. A.; and Barnes, L. E. Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. arXiv (Cornell University) . 2023.
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts [link] Paper link bibtex
Parmeshwar, N.; Barnes, L. E. ; Nicholas, C.; Hansen, S. G.; and Piper, M. D100. Radiate The Flap or Expander? The Impact of Post-Mastectomy Radiation Timing on Overall Outcomes after Autologous Free Flap Breast Reconstruction. Plastic and reconstructive surgery. Global open . 2023.
D100. Radiate The Flap or Expander? The Impact of Post-Mastectomy Radiation Timing on Overall Outcomes after Autologous Free Flap Breast Reconstruction [link] Paper link bibtex
Wang, Z.; Tang, M.; Larrazabal, M. A.; Toner, E. R.; Rucker, M.; Wu, C.; Teachman, B. A.; Boukhechba, M.; and Barnes, L. E. Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. arXiv (Cornell University) . 2023.
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline [link] Paper link bibtex
Parmeshwar, N.; Barnes, L. E. ; Patterson, A.; Miller, A. P.; Hansen, S. G.; and Piper, M. PC40. Evaluating Outcomes for Nipple-Sparing Mastectomy in Patients Over the Age of 60. Plastic and reconstructive surgery. Global open . 2023.
PC40. Evaluating Outcomes for Nipple-Sparing Mastectomy in Patients Over the Age of 60 [link] Paper link bibtex
Baglione, A.; Tolman, S.; Dapaah, C.; Johnson, D.; Wells, K. J.; Hall, R. D.; Gentzler, R. D.; and Barnes, L. E. mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment. Pervasive Computing Technologies for Healthcare . 2023.
mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment [link] Paper link bibtex
Ladis, I.; Seitov, A.; Barnes, L. E. ; and Teachman, B. A. Perceived Burdensomeness and Thwarted Belongingness in Text Messages of Suicide Attempt Survivors. Archives of suicide research . 2023.
Perceived Burdensomeness and Thwarted Belongingness in Text Messages of Suicide Attempt Survivors [link] Paper link bibtex
Larrazabal, M. A.; Eberle, J. W.; de la Garza Evia, Á. F. V.; Boukhechba, M.; Barnes, L. E. ; Boker, S. M.; and Teachman, B. A. Online Cognitive Bias Modification for Interpretation to Reduce Anxious Thinking During COVID-19. Unknown Journal . 2023.
Online Cognitive Bias Modification for Interpretation to Reduce Anxious Thinking During COVID-19 [link] Paper link bibtex
LeBaron, V.; Flickinger, T.; Ling, D.; Lee, H.; Edwards, J.; Tewari, A.; Wang, Z.; and Barnes, L. E. Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician–patient interactions. Digital health . 2023.
Feasibility and acceptability testing of CommSense: A novel communication technology to enhance health equity in clinician–patient interactions [link] Paper link bibtex
Garcia, E. J.; Rodrigues, V. R.; Fazli, M.; Barnes, L. E. ; and Napoli, N. J. Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models. Unknown Journal . 2023.
Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models [link] Paper link bibtex
Silverman, A. L.; de la Garza Evia, Á. F. V.; Larrazabal, M. A.; Khutsisvili, L.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Pilot Feasibility and Acceptability of a Spanish Translation of Web-Based Cognitive Bias Modification for Interpretation Among Spanish-Speaking Latinx Individuals With Anxiety. Unknown Journal . 2023.
Pilot Feasibility and Acceptability of a Spanish Translation of Web-Based Cognitive Bias Modification for Interpretation Among Spanish-Speaking Latinx Individuals With Anxiety [link] Paper link bibtex
Silverman, A. L.; de la Garza Evia, Á. F. V.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Minimal Effect of Culturally Informed Marketing Messages on Engagement With a Digital Anxiety Intervention Among Latinx Individuals. Unknown Journal . 2023.
Minimal Effect of Culturally Informed Marketing Messages on Engagement With a Digital Anxiety Intervention Among Latinx Individuals [link] Paper link bibtex
Wang, Z.; Larrazabal, M. A.; Rucker, M.; Toner, E. R.; Daniel, K. E.; Kumar, S.; Boukhechba, M.; Teachman, B. A.; and Barnes, L. E. Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies . 2023.
Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals [link] Paper link bibtex
Nathani, P.; Inam, S.; DelSignore, M.; Mammen, J. J.; Wesonga, C.; Barnes, L. E. ; Cap, A.; Lokoel, G.; Raguveer, V.; and Raykar, N. P‐BB‐47 | Improving Blood Availability in Blood Deserts of LMICs through Implementation of Civilian Walking Blood Banks: Conclusions from an International Working Group. Transfusion (Arlington, Va.) . 2023.
P‐BB‐47 | Improving Blood Availability in Blood Deserts of LMICs through Implementation of Civilian Walking Blood Banks: Conclusions from an International Working Group [link] Paper link bibtex
Prestel, C.; Barnes, L. E. ; Kuhar, D. T.; and Sinkowitz‐Cochran, R. L. 1707. New directions for infection prevention in the neonatal intensive care unit: A key informant exploration. Open forum infectious diseases . 2023.
1707. New directions for infection prevention in the neonatal intensive care unit: A key informant exploration [link] Paper link bibtex
Wang, Z.; Rucker, M.; Toner, E. R.; Larrazabal, M. A.; Boukhechba, M.; Teachman, B. A.; and Barnes, L. E. Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. Unknown Journal . 2023.
Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis [link] Paper link bibtex
Wang, Z.; Tang, M.; Larrazabal, M. A.; Toner, E. R.; Rucker, M.; Wu, C.; Teachman, B. A.; Boukhechba, M.; and Barnes, L. E. Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. Unknown Journal . 2023.
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline [link] Paper link bibtex
Dong, G.; Cai, L.; Tang, M.; Barnes, L. E. ; and Boukhechba, M. Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. arXiv (Cornell University) . 2023.
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing [link] Paper link bibtex
Larrazabal, M. A.; Eberle, J. W.; de la Garza Evia, A. V.; Boukhechba, M.; Funk, D. H.; Barnes, L. E. ; Boker, S. M.; and Teachman, B. A. Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic. Behaviour research and therapy . 2023.
Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic [link] Paper link bibtex
Dong, G.; Tang, M.; Wang, Z.; Gao, J.; Guo, S.; Cai, L.; Gutiérrez, R.; Campbell, B.; Barnes, L. E. ; and Boukhechba, M. Graph Neural Networks in IoT: A Survey. ACM transactions on sensor networks . 2023.
Graph Neural Networks in IoT: A Survey [link] Paper link bibtex
Li, B.; Tavakoli, A.; Wang, A.; Kaur, N.; Barnes, L. E. ; Doryab, A.; and Heydarian, A. Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. Unknown Journal . 2023.
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring [link] Paper link bibtex
Li, B.; Tavakoli, A.; Wang, A.; Kaur, N.; Barnes, L. E. ; Doryab, A.; and Heydarian, A. Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. Unknown Journal . 2023.
Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring [link] Paper link bibtex
2022 (25)
Wang, Z.; Xiong, H.; Zhang, J.; Yang, S.; Boukhechba, M.; Zhang, D.; Barnes, L. E. ; and Dou, D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE internet of things journal (Online) . 2022.
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques [link] Paper link bibtex
Werntz, A.; Silverman, A. L.; Behan, H. C.; Patel, S. K.; Beltzer, M.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Lessons Learned: Providing Supportive Accountability in an Online Anxiety Intervention. Behavior therapy . 2022.
Lessons Learned: Providing Supportive Accountability in an Online Anxiety Intervention [link] Paper link bibtex
LeBaron, V.; Boukhechba, M.; Edwards, J.; Flickinger, T.; Ling, D.; and Barnes, L. E. Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study. JMIR research protocols . 2022.
Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study [link] Paper link bibtex
Kumar, S.; Datta, D.; Dong, G.; Cai, L.; Barnes, L. E. ; and Boukhechba, M. Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. ACM transactions on computing for healthcare (Online) . 2022.
Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19 [link] Paper link bibtex
Ladis, I.; Daros, A. R.; Boukhechba, M.; Daniel, K. E.; Chow, P. I.; Beltzer, M.; Barnes, L. E. ; and Teachman, B. A. When and Where Do People Regulate Their Emotions? Patterns of Emotion Regulation in Unselected and Socially Anxious Young Adults. Journal of social and clinical psychology . 2022.
When and Where Do People Regulate Their Emotions? Patterns of Emotion Regulation in Unselected and Socially Anxious Young Adults [link] Paper link bibtex
Kulkarni, C.; Deng, S.; Wang, T.; Hartman‐Kenzler, J.; Barnes, L. E. ; Parker, S.; Safford, S. D.; and Lau, N. Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery. Surgical endoscopy . 2022.
Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery [link] Paper link bibtex
Rikard, S. M.; Kim, B.; Michel, J. D.; Peirce, S. M.; Barnes, L. E. ; and Williams, M. D. Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes. SSM, population health . 2022.
Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes [link] Paper link bibtex
Ladis, I.; Valladares, T. L.; Coppersmith, D. D L; Glenn, J. J.; Nobles, A. L.; Barnes, L. E. ; and Teachman, B. A. Inferring sleep disturbance from text messages of suicide attempt survivors: A pilot study. Suicide & life-threatening behavior . 2022.
Inferring sleep disturbance from text messages of suicide attempt survivors: A pilot study [link] Paper link bibtex
Toner, E. R.; Larrazabal, M. A.; Liu, C.; Henry, T.; MacCormack, J. K.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Social anxiety and concordance in emotional responses across levels of evaluative threat. Unknown Journal . 2022.
Social anxiety and concordance in emotional responses across levels of evaluative threat [link] Paper link bibtex
Deng, S.; Wang, T.; Hartman‐Kenzler, J.; Parker, S.; Safford, S. D.; Barnes, L. E. ; and Lau, N. Predicting Laparoscopic Surgical Skills of Trainees with Eye Metrics Associated with Focused Attention and Workload. Proceedings of the Human Factors and Ergonomics Society Annual Meeting . 2022.
Predicting Laparoscopic Surgical Skills of Trainees with Eye Metrics Associated with Focused Attention and Workload [link] Paper link bibtex
Silverman, A. L.; Boogs, J. M.; Eberle, J. W.; Baldwin, M.; Behan, H. C.; Baglione, A.; Paolino, V.; de la Garza Evia, Á. F. V.; Boukhechba, M.; Barnes, L. E. ; Funk, D. I.; and Teachman, B. A. Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention. Unknown Journal . 2022.
Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention [link] Paper link bibtex
LeBaron, V.; Boukhechba, M.; Edwards, J.; Flickinger, T.; Ling, D.; and Barnes, L. E. Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study (Preprint). Unknown Journal . 2022.
Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study (Preprint) [link] Paper link bibtex
Dong, G.; Tang, M.; Wang, Z.; Gao, J.; Guo, S.; Liu, C.; Gutiérrez, R.; Campbell, B.; Barnes, L. E. ; and Boukhechba, M. Graph Neural Networks in IoT: A Survey. arXiv (Cornell University) . 2022.
Graph Neural Networks in IoT: A Survey [link] Paper link bibtex
Song, S.; Barnes, L. E. ; and Kim, E. A. 79. The Sensory Assessment After FTM Gender Affirming Mastectomy (SAFTY) Study. Plastic and reconstructive surgery. Global open . 2022.
79. The Sensory Assessment After FTM Gender Affirming Mastectomy (SAFTY) Study [link] Paper link bibtex
Schwartz, R. X.; Ramanan, A.; Patel, D.; Lynch, A.; Baee, S.; and Barnes, L. E. DARA: Development of a Chatbot Support System for an Anxiety Reduction Digital Intervention. Unknown Journal . 2022.
DARA: Development of a Chatbot Support System for an Anxiety Reduction Digital Intervention [link] Paper link bibtex
Gutiérrez, R.; Hart, J. M.; Barnes, L. E. ; and Boukhechba, M. Using Inertial Measurement Units (IMU) and Comparative Trajectory Analysis for Modeling Micro-level Human Motion Dysfunction. AHFE international . 2022.
Using Inertial Measurement Units (IMU) and Comparative Trajectory Analysis for Modeling Micro-level Human Motion Dysfunction [link] Paper link bibtex
Barnes, L. E. ; Gutierrez, R. J.; McCrady, A.; Tolman, S.; Boukhechba, M.; Blemker, S. S.; Scharf, R. J.; and Masterson, C. Upper EXTremity Examination for Neuromuscular Diseases (U-EXTEND): A protocol for a feasibility study to explore the use of wearable sensors and ultrasound techniques to develop novel measures for muscle function (Preprint). Unknown Journal . 2022.
Upper EXTremity Examination for Neuromuscular Diseases (U-EXTEND): A protocol for a feasibility study to explore the use of wearable sensors and ultrasound techniques to develop novel measures for muscle function (Preprint) [link] Paper link bibtex
Barnes, L. E. ; Gutierrez, R. J.; McCrady, A.; Tolman, S.; Boukhechba, M.; Blemker, S. S.; Scharf, R. J.; and Masterson, C. Upper Extremity Examination for Neuromuscular Diseases (U-EXTEND): Protocol for a Multimodal Feasibility Study. JMIR research protocols . 2022.
Upper Extremity Examination for Neuromuscular Diseases (U-EXTEND): Protocol for a Multimodal Feasibility Study [link] Paper link bibtex
Wang, Z.; Xiong, H.; Tang, M.; Boukhechba, M.; Flickinger, T.; and Barnes, L. E. Mobile Sensing in the COVID-19 Era: A Review. Health data science . 2022.
Mobile Sensing in the COVID-19 Era: A Review [link] Paper link bibtex
Kumar, S.; Gutierez, R.; Datta, D.; Tolman, S.; McCrady, A.; Blemker, S. S.; Scharf, R. J.; and Barnes, L. E. Shape Analysis for Pediatric Upper Body Motor Function Assessment. arXiv (Cornell University) . 2022.
Shape Analysis for Pediatric Upper Body Motor Function Assessment [link] Paper link bibtex
Gonzales, M.; Garcia‐Alcaraz, C.; Kaur, N.; Gong, J.; Zhu, X.; Tolman, S.; Barnes, L. E. ; and Wells, K. J. Multiscale modeling intervention development and perspectives from early-stage breast cancer survivors on technology to improve long-term adherence to endocrine therapy. Journal of clinical oncology . 2022.
Multiscale modeling intervention development and perspectives from early-stage breast cancer survivors on technology to improve long-term adherence to endocrine therapy. [link] Paper link bibtex
Ladis, I.; Toner, E. R.; Daros, A. R.; Daniel, K. E.; Boukhechba, M.; Chow, P. I.; Barnes, L. E. ; Teachman, B. A.; and Ford, B. Q. Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?. Affective Science . 2022.
Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It? [link] Paper link bibtex
Leventhal, E.; Toner, E. R.; Davidson, B.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Adapting a mobile anxiety intervention for a university community: Insights from a qualitative analysis. Unknown Journal . 2022.
Adapting a mobile anxiety intervention for a university community: Insights from a qualitative analysis [link] Paper link bibtex
Kumar, S.; Gutierrez, R. J.; Tolman, S.; Tolman, S.; McCrady, A.; Scharf, R. J.; Scharf, R. J.; Boukhechba, M.; and Barnes, L. E. Shape Analysis for Pediatric Upper Body Motor Function Assessment. Unknown Journal . 2022.
Shape Analysis for Pediatric Upper Body Motor Function Assessment [link] Paper link bibtex
Dong, G.; Tang, M.; Wang, Z.; Gao, J.; Guo, S.; Liu, C.; Gutiérrez, R.; Campbell, B.; Barnes, L. E. ; and Boukhechba, M. Graph Neural Networks in IoT: A Survey. arXiv (Cornell University) . 2022.
Graph Neural Networks in IoT: A Survey [link] Paper link bibtex
2021 (38)
Baee, S.; Pakdamanian, E.; Kim, I.; Lu, F.; Ordóñez, V.; and Barnes, L. E. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) . 2021.
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning [link] Paper link bibtex
Ji, J. L.; Baee, S.; Zhang, D.; Calicho-Mamani, C. P; Meyer, M. C.; Funk, D. H.; Portnow, S.; Barnes, L. E. ; and Teachman, B. A. Multi-session online interpretation bias training for anxiety in a community sample. Behaviour research and therapy . 2021.
Multi-session online interpretation bias training for anxiety in a community sample [link] Paper link bibtex
Dong, G.; Cai, L.; Datta, D.; Kumar, S.; Barnes, L. E. ; and Boukhechba, M. Influenza-like symptom recognition using mobile sensing and graph neural networks. Unknown Journal . 2021.
Influenza-like symptom recognition using mobile sensing and graph neural networks [link] Paper link bibtex
Dong, G.; Tang, M.; Cai, L.; Barnes, L. E. ; and Boukhechba, M. Semi-supervised Graph Instance Transformer for Mental Health Inference. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) . 2021.
Semi-supervised Graph Instance Transformer for Mental Health Inference [link] Paper link bibtex
Beltzer, M.; Ameko, M. K.; Daniel, K. E.; Daros, A. R.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Building an emotion regulation recommender algorithm for socially anxious individuals using contextual bandits. British journal of clinical psychology . 2021.
Building an emotion regulation recommender algorithm for socially anxious individuals using contextual bandits [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. Lecture notes in computer science . 2021.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [link] Paper link bibtex
Mattos, M.; Manning, C. A.; Quigg, M.; Davis, E. M.; Barnes, L. E. ; Sollinger, A.; Eckstein, M.; and Ritterband, L. M. Feasibility and Preliminary Efficacy of an Internet-Delivered Intervention for Insomnia in Individuals with Mild Cognitive Impairment. Journal of Alzheimer's disease . 2021.
Feasibility and Preliminary Efficacy of an Internet-Delivered Intervention for Insomnia in Individuals with Mild Cognitive Impairment [link] Paper link bibtex
Deng, S.; Kulkarni, C.; Wang, T.; Hartman‐Kenzler, J.; Barnes, L. E. ; Parker, S.; Safford, S. D.; Rajamohan, S.; and Lau, N. Differentiating Laparoscopic Skills of Trainees with Computer Vision Based Metrics. Proceedings of the Human Factors and Ergonomics Society Annual Meeting . 2021.
Differentiating Laparoscopic Skills of Trainees with Computer Vision Based Metrics [link] Paper link bibtex
Mostafavi, M.; Nikseresht, F.; Resch, J. E.; Barnes, L. E. ; and Boukhechba, M. Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback. Lecture notes in networks and systems (Online) . 2021.
Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback [link] Paper link bibtex
Daniel, K. E.; Mendu, S.; Baglione, A.; Cai, L.; Teachman, B. A.; Barnes, L. E. ; and Boukhechba, M. Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life. Anxiety, stress, and coping . 2021.
Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life [link] Paper link bibtex
Cai, L.; Barnes, L. E. ; and Boukhechba, M. Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. Journal of ambient intelligence & humanized computing (Print) . 2021.
Designing adaptive passive personal mobile sensing methods using reinforcement learning framework [link] Paper link bibtex
Wang, Z.; Xiong, H.; Zhang, J.; Yang, S.; Boukhechba, M.; Barnes, L. E. ; and Zhang, D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. Unknown Journal . 2021.
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques [link] Paper link bibtex
Cai, L.; Barnes, L. E. ; and Boukhechba, M. A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. Lecture notes in networks and systems (Online) . 2021.
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning [link] Paper link bibtex
Datta, D.; Kumar, S.; Barnes, L. E. ; and Fletcher, T. Geometry matters: Exploring language examples at the decision boundary. arXiv (Cornell University) . 2021.
Geometry matters: Exploring language examples at the decision boundary [pdf] Paper link bibtex
Ameko, M. K.; Baee, S.; and Barnes, L. E. LonelyText: A Short Messaging Based Classification of Loneliness. arXiv (Cornell University) . 2021.
LonelyText: A Short Messaging Based Classification of Loneliness. [link] Paper link bibtex
Kaur, N.; Gonzales, M.; Alcaraz, C. G.; Barnes, L. E. ; Wells, K. J.; and Gong, J. Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. Unknown Journal . 2021.
Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior [link] Paper link bibtex
Baee, S.; Pakdamanian, E.; Kim, I.; Lu, F.; Ordóñez, V.; and Barnes, L. E. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. Unknown Journal . 2021.
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning [pdf] Paper link bibtex
Dong, G.; Cai, L.; Kumar, S.; Datta, D.; Barnes, L. E. ; and Boukhechba, M. Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. Unknown Journal . 2021.
Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19 [link] Paper link bibtex
Mostafavi, M.; Nikseresht, F.; Resch, J. E.; Barnes, L. E. ; and Boukhechba, M. Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. arXiv (Cornell University) . 2021.
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback [link] Paper link bibtex
Barnes, L. E. Monitoring mental health of college students using smartphones. Actas del Congreso Internacional de Ingeniería de Sistemas . 2021.
Monitoring mental health of college students using smartphones [link] Paper link bibtex
Barnes, L. E. An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand. Unknown Journal . 2021.
An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand [link] Paper link bibtex
Mostafavi, M.; Nikseresht, F.; Resch, J. E.; Barnes, L. E. ; and Boukhechba, M. Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. Unknown Journal . 2021.
Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback [link] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. Unknown Journal . 2021.
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents [pdf] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Evaluation of mathematical questioning strategies using data collected through weak supervision. arXiv (Cornell University) . 2021.
Evaluation of mathematical questioning strategies using data collected through weak supervision. [link] Paper link bibtex
Mattos, M.; Quigg, M.; Manning, C. A.; Davis, E. M.; Sollinger, A.; Barnes, L. E. ; and Ritterband, L. M. Lessons Learned From Clinical Recruitment of Older Adults With MCI for an Internet-Delivered Intervention Study. Innovation in aging . 2021.
Lessons Learned From Clinical Recruitment of Older Adults With MCI for an Internet-Delivered Intervention Study [link] Paper link bibtex
Mattos, M.; Manning, C. A.; Quigg, M.; Davis, E. M.; Barnes, L. E. ; Sollinger, A.; and Ritterband, L. M. Preliminary efficacy of an internet‐delivered behavioral intervention for insomnia in individuals with mild cognitive impairment. Alzheimer's & dementia . 2021.
Preliminary efficacy of an internet‐delivered behavioral intervention for insomnia in individuals with mild cognitive impairment [link] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Improving mathematical questioning in teacher training. arXiv (Cornell University) . 2021.
Improving mathematical questioning in teacher training [link] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Evaluation of mathematical questioning strategies using data collected through weak supervision. arXiv (Cornell University) . 2021.
Evaluation of mathematical questioning strategies using data collected through weak supervision [link] Paper link bibtex
Xiong, H.; Huang, Y.; Barnes, L. E. ; and Gerber, M. S. Sensus: A Cross-Platform, General-Purpose System for Mobile Crowdsensing in Human-Subject Studies. Unknown Journal . 2021.
Sensus: A Cross-Platform, General-Purpose System for Mobile Crowdsensing in Human-Subject Studies [link] Paper link bibtex
Abbass, H. A.; Ahmed, N. K.; Ki, C.; Sabri, A.; Auephanwiriyakul, A. S.; Bacciu, D.; Barnes, L. E. ; Benjamin, R.; Bharath, A. A.; Bian, T.; Bunte, K.; Cao, Z.; Ju, A.; Ao, P.; Chandra, R.; Chen, H.; Chen, W.; Chen, Y.; Chen, Y.; Ws, T.; Adenilton, C.; Silva, J D.; d’Avila Garcez, A.; de , J. M.; Rubio, J.; Dickerson, J. A.; Ditzler, G.; Dong, D.; Duan, S.; Engelbrecht, A. P.; Fang, L.; Franco, L.; Fu, J.; Fukuda, T.; Kathy, S.; Land, "; Kramer, K.; Lillie, J.; das Chagas Moura, M.; Phillips, S.; Sarkar, K.; Chun, K.; Fish, R.; Conrad, J.; Welby, S.; Siegert, T.; Administration, B.; Cozin, J.; Governance, C.; Hourican, D.; Moesch, J.; Muirhead, S.; Brantley, C.; Usa, I.; Amirat, C.; Hawkins, K.; Jankowski, C.; Activities, G.; and Heffner, S. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information. IEEE transactions on neural networks and learning systems . 2021.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information [link] Paper link bibtex
Ji, J. L.; Baee, S.; Zhang, D.; Calicho-Mamani, C.; Meyer, M. C.; Funk, D. C.; Portnow, S.; Barnes, L. E. ; and Teachman, B. A. Multi-session online interpretation bias training for anxiety in a community sample. Unknown Journal . 2021.
Multi-session online interpretation bias training for anxiety in a community sample [link] Paper link bibtex
Huang, Y.; Xiong, H.; Leach, K.; Zhang, Y.; Chow, P. C. Y.; Fua, K.; Teachman, B. A.; and Barnes, L. E. Assessing social anxiety using gps trajectories and point-of-interest data. Unknown Journal . 2021.
Assessing social anxiety using gps trajectories and point-of-interest data [link] Paper link bibtex
Barnes, L. E. An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand. Unknown Journal . 2021.
An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand [link] Paper link bibtex
Ameko, M. K.; Baee, S.; and Barnes, L. E. LonelyText: A Short Messaging Based Classification of Loneliness. arXiv (Cornell University) . 2021.
LonelyText: A Short Messaging Based Classification of Loneliness [link] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Evaluation of mathematical questioning strategies using data collected through weak supervision. arXiv (Cornell University) . 2021.
Evaluation of mathematical questioning strategies using data collected through weak supervision [link] Paper link bibtex
Datta, D.; Phillips, M.; Bywater, J. P.; Chiu, J. L.; Watson, G. S.; Barnes, L. E. ; and Brown, D. E. Improving mathematical questioning in teacher training. arXiv (Cornell University) . 2021.
Improving mathematical questioning in teacher training [link] Paper link bibtex
Barnes, L. E. An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand. Unknown Journal . 2021.
An intersectional approach to sexual violence prevention?: Young people's experiences in New Zealand [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. Lecture notes in computer science . 2021.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [link] Paper link bibtex
2020 (37)
Roe, J.; Mondschein, A.; Neale, C.; Barnes, L. E. ; Boukhechba, M.; and López, S. The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study. Frontiers in public health . 2020.
The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study [link] Paper link bibtex
Ameko, M. K.; Beltzer, M.; Cai, L.; Boukhechba, M.; Teachman, B. A.; and Barnes, L. E. Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. Unknown Journal . 2020.
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation [link] Paper link bibtex
Rashid, H.; Mendu, S.; Daniel, K. E.; Beltzer, M.; Teachman, B. A.; Boukhechba, M.; and Barnes, L. E. Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies . 2020.
Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data [link] Paper link bibtex
Boukhechba, M.; and Barnes, L. E. SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. Advances in intelligent systems and computing (Internet) . 2020.
SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches [link] Paper link bibtex
Glenn, J. J.; Nobles, A. L.; Barnes, L. E. ; and Teachman, B. A. Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally Sensitive Markers of Suicide Risk. Clinical psychological science (Print) . 2020.
Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally Sensitive Markers of Suicide Risk [link] Paper link bibtex
Daniel, K. E.; Goodman, F. R.; Beltzer, M.; Daros, A. R.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Emotion Malleability Beliefs and Emotion Experience and Regulation in the Daily Lives of People with High Trait Social Anxiety. Cognitive therapy and research . 2020.
Emotion Malleability Beliefs and Emotion Experience and Regulation in the Daily Lives of People with High Trait Social Anxiety [link] Paper link bibtex
Daniel, K. E.; Daros, A. R.; Beltzer, M.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. How Anxious are You Right Now? Using Ecological Momentary Assessment to Evaluate the Effects of Cognitive Bias Modification for Social Threat Interpretations. Cognitive therapy and research . 2020.
How Anxious are You Right Now? Using Ecological Momentary Assessment to Evaluate the Effects of Cognitive Bias Modification for Social Threat Interpretations [link] Paper link bibtex
Cai, L.; Boukhechba, M.; Gerber, M. S.; Barnes, L. E. ; Showalter, S. L.; Cohn, W. F.; and Chow, P. I. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart health (Print) . 2020.
An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients [link] Paper link bibtex
Mendu, S.; Baglione, A.; Baee, S.; Wu, C.; Ng, B.; Shaked, A.; Clore, G. L.; Boukhechba, M.; and Barnes, L. E. A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. Proceedings of the ACM on human-computer interaction . 2020.
A Framework for Understanding the Relationship between Social Media Discourse and Mental Health [link] Paper link bibtex
Cox, D. J.; Owens, J. M.; Barnes, L. E. ; Moncrief, M.; Boukhechba, M.; Buckman, S.; Banton, T.; and Wotring, B. A Pilot Study Comparing Newly Licensed Drivers With and Without Autism and Experienced Drivers in Simulated and On-Road Driving. Journal of autism and developmental disorders . 2020.
A Pilot Study Comparing Newly Licensed Drivers With and Without Autism and Experienced Drivers in Simulated and On-Road Driving [link] Paper link bibtex
Heidarysafa, M.; Kowsari, K.; Odukoya, T.; Potter, P.; Barnes, L. E. ; and Brown, D. E. Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group. Advances in intelligent systems and computing (Internet) . 2020.
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group [link] Paper link bibtex
Boukhechba, M.; Baglione, A.; and Barnes, L. E. Leveraging Mobile Sensing and Machine Learning for Personalized Mental Health Care. Ergonomics in design . 2020.
Leveraging Mobile Sensing and Machine Learning for Personalized Mental Health Care [link] Paper link bibtex
Napoli, N. J.; Demas, M.; Stephens, C.; Kennedy, K. D.; Harrivel, A. R.; Barnes, L. E. ; and Pope, A. Activation Complexity: A Cognitive Impairment Tool for Characterizing Neuro-isolation. Scientific reports (Nature Publishing Group) . 2020.
Activation Complexity: A Cognitive Impairment Tool for Characterizing Neuro-isolation [link] Paper link bibtex
Kowsari, K.; Heidarysafa, M.; Odukoya, T.; Potter, P.; Barnes, L. E. ; and Brown, D. E. Gender Detection on Social Networks Using Ensemble Deep Learning. Advances in intelligent systems and computing (Internet) . 2020.
Gender Detection on Social Networks Using Ensemble Deep Learning [link] Paper link bibtex
Barrett, E. K.; Fard, C. M.; Katinas, H. N.; Moens, C. V.; Perry, L. E.; Ruddy, B. E.; Shah, S.; Tucker, I. S.; Wilson, T. J.; Rucker, M.; Cai, L.; Barnes, L. E. ; and Boukhechba, M. Mobile Sensing: Leveraging Machine Learning for Efficient Human Behavior Modeling. Unknown Journal . 2020.
Mobile Sensing: Leveraging Machine Learning for Efficient Human Behavior Modeling [link] Paper link bibtex
Baglione, A.; Gong, J.; Boukhechba, M.; Wells, K. J.; and Barnes, L. E. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE pervasive computing . 2020.
Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence [link] Paper link bibtex
Zhang, J.; Kowsari, K.; Boukhechba, M.; Harrison, J. H.; Lobo, J. M.; and Barnes, L. E. Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. Unknown Journal . 2020.
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients [link] Paper link bibtex
Gulleen, E. A.; Ameko, M. K.; Ainsworth, J.; Barnes, L. E. ; and Moore, C. C. Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia. Critical care explorations . 2020.
Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia [link] Paper link bibtex
Biber, B.; Dodge, M.; González, M. L.; Huang, R.; Johnson, O.; Martin, Z.; Sieger, A.; Tran, V. L.; Xiao, S.; and Barnes, L. E. Investigating the Efficacy of Virtual Experiences on Stress Reduction. Unknown Journal . 2020.
Investigating the Efficacy of Virtual Experiences on Stress Reduction [link] Paper link bibtex
Burley, C.; Anderson, D.; Brownlee, A.; Lafer, G.; Luong, T.; McGowan, M.; Nguyen, J.; Trotter, W. T.; Wine, H.; Baglione, A.; and Barnes, L. E. Increasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions. Unknown Journal . 2020.
Increasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions [link] Paper link bibtex
Mattos, M.; Barnes, L. E. ; Davis, E. M.; Manning, C. A.; Mostafavi, M.; Quigg, M.; Perez, H.; Sollinger, A.; and Ritterband, L. M. Preliminary feasibility of technology use in an internet‐delivered intervention: Improving sleep in older adults with mild cognitive impairment. Alzheimer's & dementia . 2020.
Preliminary feasibility of technology use in an internet‐delivered intervention: Improving sleep in older adults with mild cognitive impairment [link] Paper link bibtex
Eberle, J. W.; Boukhechba, M.; Sun, J.; Zhang, D.; Funk, D. C.; Barnes, L. E. ; and Teachman, B. A. Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial. Unknown Journal . 2020.
Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial [link] Paper link bibtex
Sarker, A.; Yao, F.; Shen, H.; Zhao, H.; Zhu, H.; Lone, H.; Barnes, L. E. ; Campbell, B.; and Rosen, M. Deep Learning Based Prediction Towards Designing A Smart Building Assistant System. Unknown Journal . 2020.
Deep Learning Based Prediction Towards Designing A Smart Building Assistant System [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. arXiv (Cornell University) . 2020.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [link] Paper link bibtex
Rucker, M.; Watson, L. T.; Barnes, L. E. ; and Gerber, M. S. Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. arXiv (Cornell University) . 2020.
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. [pdf] Paper link bibtex
Gordon, J. R.; Dial, L. A.; Mills, S. D.; Drizin, J. H.; Barnes, L. E. ; Malcarne, V. L.; Klonoff, E. A.; Vaughn, A. A.; and Wells, K. J. Celebrity disclosure prompts public discourse regarding appearance changes related to breast cancer care: a content analysis of Internet comments. Journal of communication in healthcare (Print) . 2020.
Celebrity disclosure prompts public discourse regarding appearance changes related to breast cancer care: a content analysis of Internet comments [link] Paper link bibtex
Ladis, I.; Daros, A. R.; Boukhechba, M.; Daniel, K. E.; Chow, P. I.; Barnes, L. E. ; and Teachman, B. A. Contextual Factors Surrounding Emotion Regulation: Replication Study. Unknown Journal . 2020.
Contextual Factors Surrounding Emotion Regulation: Replication Study [link] Paper link bibtex
Datta, D.; Phillips, M.; Chiu, J. L.; Watson, G. S.; Bywater, J. P.; Barnes, L. E. ; and Brown, D. E. Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. arXiv (Cornell University) . 2020.
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education. [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. arXiv (Cornell University) . 2020.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [pdf] Paper link bibtex
Zhang, J.; Kowsari, K.; Boukhechba, M.; Harrison, J. H.; Lobo, J. M.; and Barnes, L. E. Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. arXiv (Cornell University) . 2020.
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients [link] Paper link bibtex
Mattos, M.; Barnes, L. E. ; Davis, E. M.; Manning, C. A.; Quigg, M.; and Ritterband, L. M. Use of Technology in an Internet-Delivered Intervention for Older Adults With Mild Cognitive Impairment. Innovation in aging . 2020.
Use of Technology in an Internet-Delivered Intervention for Older Adults With Mild Cognitive Impairment [link] Paper link bibtex
Beltzer, M.; Ameko, M. K.; Daniel, K. E.; Daros, A. R.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Building an Emotion Regulation Recommender Algorithm for Socially Anxious Individuals Using Contextual Bandits. Unknown Journal . 2020.
Building an Emotion Regulation Recommender Algorithm for Socially Anxious Individuals Using Contextual Bandits [link] Paper link bibtex
Datta, D.; Kumar, S.; Barnes, L. E. ; and Fletcher, T. Geometry matters: Exploring language examples at the decision boundary. arXiv (Cornell University) . 2020.
Geometry matters: Exploring language examples at the decision boundary [link] Paper link bibtex
Rucker, M.; Watson, L. T.; Gerber, M. S.; and Barnes, L. E. Reward Shaping for Human Learning via Inverse Reinforcement Learning. arXiv (Cornell University) . 2020.
Reward Shaping for Human Learning via Inverse Reinforcement Learning [link] Paper link bibtex
Sarker, A.; Yao, F.; Shen, H.; Zhao, H.; Zhu, H.; Lone, H.; Barnes, L. E. ; Campbell, B.; and Rosen, M. Deep Learning Based Prediction Towards Designing A Smart Building Assistant System. Unknown Journal . 2020.
Deep Learning Based Prediction Towards Designing A Smart Building Assistant System [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. arXiv (Cornell University) . 2020.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [link] Paper link bibtex
Fazli, M.; Kowsari, K.; Gharavi, E.; Barnes, L. E. ; and Doryab, A. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. arXiv (Cornell University) . 2020.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks [pdf] Paper link bibtex
2019 (22)
Kowsari, K.; Meimandi, K. J.; Heidarysafa, M.; Mendu, S.; Barnes, L. E. ; and Brown, D. E. Text Classification Algorithms: A Survey. Information (Basel) . 2019.
Text Classification Algorithms: A Survey [link] Paper link bibtex
Boukhechba, M.; Cai, L.; Wu, C.; and Barnes, L. E. ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors. Smart health (Print) . 2019.
ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors [link] Paper link bibtex
Gong, J.; Huang, Y.; Chow, P. I.; Fua, K.; Gerber, M. S.; Teachman, B. A.; and Barnes, L. E. Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. Information fusion (Print) . 2019.
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors [link] Paper link bibtex
Daros, A. R.; Daniel, K. E.; Meyer, M. C.; Chow, P. I.; Barnes, L. E. ; and Teachman, B. A. Impact of social anxiety and social context on college students’ emotion regulation strategy use: An experience sampling study. Motivation and emotion . 2019.
Impact of social anxiety and social context on college students’ emotion regulation strategy use: An experience sampling study [link] Paper link bibtex
Daniel, K. E.; Baee, S.; Boukhechba, M.; Barnes, L. E. ; and Teachman, B. A. Do I really feel better? Effectiveness of emotion regulation strategies depends on the measure and social anxiety. Depression and Anxiety . 2019.
Do I really feel better? Effectiveness of emotion regulation strategies depends on the measure and social anxiety [link] Paper link bibtex
Daros, A. R.; Daniel, K. E.; Boukhechba, M.; Chow, P. I.; Barnes, L. E. ; and Teachman, B. A. Relationships between trait emotion dysregulation and emotional experiences in daily life: an experience sampling study. Cognition and emotion (Print) . 2019.
Relationships between trait emotion dysregulation and emotional experiences in daily life: an experience sampling study [link] Paper link bibtex
Lopera, J. E.; and Barnes, L. E. A single center 10‐year clinical experience with superior vena cava retrievable filters. Catheterization and cardiovascular interventions . 2019.
A single center 10‐year clinical experience with superior vena cava retrievable filters [link] Paper link bibtex
Roe, J.; Barnes, L. E. ; Napoli, N. J.; and Thibodeaux, J. The Restorative Health Benefits of a Tactical Urban Intervention: An Urban Waterfront Study. Frontiers in built environment . 2019.
The Restorative Health Benefits of a Tactical Urban Intervention: An Urban Waterfront Study [link] Paper link bibtex
Cai, L.; Boukhechba, M.; Kaur, N.; Wu, C.; Barnes, L. E. ; and Gerber, M. S. Adaptive Passive Mobile Sensing Using Reinforcement Learning. Unknown Journal . 2019.
Adaptive Passive Mobile Sensing Using Reinforcement Learning [link] Paper link bibtex
de Paiva Azevedo, J.; Delaney, H.; Epperson, M.; Jbeili, C.; Jensen, S.; McGrail, C.; Weaver, H.; Baglione, A.; and Barnes, L. E. Gamification of eHealth Interventions to Increase User Engagement and Reduce Attrition. Unknown Journal . 2019.
Gamification of eHealth Interventions to Increase User Engagement and Reduce Attrition [link] Paper link bibtex
Baee, S.; Pakdamanian, E.; Ordóñez, V.; Kim, I.; Lu, F.; and Barnes, L. E. EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles. arXiv (Cornell University) . 2019.
EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles [pdf] Paper link bibtex
Thuman, J.; McMahon, H. A.; Chow, P. C.; Gerber, M. S.; Dassoulas, K.; Barnes, L. E. ; and Campbell, C. A. The Performance of Patient-Worn Actigraphy Devices to Measure Recovery after Breast Reconstruction. Plastic and reconstructive surgery. Global open . 2019.
The Performance of Patient-Worn Actigraphy Devices to Measure Recovery after Breast Reconstruction [link] Paper link bibtex
Mendu, S.; Boukhechba, M.; Baglione, A.; Baee, S.; Wu, C.; and Barnes, L. E. SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. Unknown Journal . 2019.
SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health [link] Paper link bibtex
Karanth, R. M.; Guyer, M. S.; Twilley, N. L.; Crosier, M. B.; Monroe, S. C.; McQuain, A. J.; Kha, L. T.; Boukhechba, M.; Gerber, M. S.; and Barnes, L. E. Modeling User Context from Smartphone Data for Recognition of Health Status. Unknown Journal . 2019.
Modeling User Context from Smartphone Data for Recognition of Health Status [link] Paper link bibtex
Yamada, R.; Bassaco, B.; Wise, C.; Barnes, L. E. ; Golchin, N.; and Guimarães, M. Radiofrequency wire technique and image fusion in the creation of an endovascular bypass to treat chronic central venous occlusion. Journal of vascular surgery cases and innovative techniques . 2019.
Radiofrequency wire technique and image fusion in the creation of an endovascular bypass to treat chronic central venous occlusion [link] Paper link bibtex
Baik, S. H.; Klonoff, E. A.; Barnes, L. E. ; Schiaffino, M. K.; and Wells, K. J. Mapping the online social network of cancer bloggers. Journal of health psychology . 2019.
Mapping the online social network of cancer bloggers [link] Paper link bibtex
Glenn, J. J.; Nobles, A. L.; Barnes, L. E. ; and Teachman, B. A. Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally-Sensitive Markers of Suicide Risk. Unknown Journal . 2019.
Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally-Sensitive Markers of Suicide Risk [link] Paper link bibtex
Barnes, L. E. The possible selves of individuals with an acquired brain injury. Unknown Journal . 2019.
The possible selves of individuals with an acquired brain injury [link] Paper link bibtex
Heidarysafa, M.; Kowsari, K.; Odukoya, T.; Potter, P.; Barnes, L. E. ; and Brown, D. E. Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group. arXiv (Cornell University) . 2019.
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group [pdf] Paper link bibtex
Homdee, N.; Boukhechba, M.; Feng, Y. W.; Kramer, N.; Lach, J.; and Barnes, L. E. Enabling Smartphone-based Estimation of Heart Rate. arXiv (Cornell University) . 2019.
Enabling Smartphone-based Estimation of Heart Rate. [link] Paper link bibtex
Baee, S.; Pakdamanian, E.; Kim, I.; Liu, F.; Ordóñez, V.; and Barnes, L. E. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. arXiv (Cornell University) . 2019.
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning [link] Paper link bibtex
Heidarysafa, M.; Kowsari, K.; Odukoya, T.; Potter, P.; Barnes, L. E. ; and Brown, D. E. Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group. arXiv (Cornell University) . 2019.
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group [link] Paper link bibtex
2018 (28)
Zhang, J.; Kowsari, K.; Harrison, J. H.; Lobo, J. M.; and Barnes, L. E. Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record. IEEE access . 2018.
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record [link] Paper link bibtex
Boukhechba, M.; Daros, A. R.; Fua, K.; Chow, P. I.; Teachman, B. A.; and Barnes, L. E. DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones. Smart health (Print) . 2018.
DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones [link] Paper link bibtex
Kowsari, K.; Heidarysafa, M.; Brown, D. E.; Meimandi, K. J.; and Barnes, L. E. RMDL. Unknown Journal . 2018.
RMDL [link] Paper link bibtex
Boukhechba, M.; Chow, P. I.; Fua, K.; Teachman, B. A.; and Barnes, L. E. Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study. JMIR mental health . 2018.
Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study [link] Paper link bibtex
Nobles, A. L.; Glenn, J. J.; Kowsari, K.; Teachman, B. A.; and Barnes, L. E. Identification of Imminent Suicide Risk Among Young Adults using Text Messages. Unknown Journal . 2018.
Identification of Imminent Suicide Risk Among Young Adults using Text Messages [link] Paper link bibtex
Waselewski, M.; Lobo, J. M.; Gunnell, B.; Enfield, K. B.; Carpenter, R.; Barnes, L. E. ; and Mathers, A. J Characterizations of handwashing sink activities in a single hospital medical intensive care unit. ˜The œJournal of hospital infection . 2018.
Characterizations of handwashing sink activities in a single hospital medical intensive care unit [link] Paper link bibtex
Heidarysafa, M.; Kowsari, K.; Barnes, L. E. ; and Brown, D. E. Analysis of Railway Accidents' Narratives Using Deep Learning. Unknown Journal . 2018.
Analysis of Railway Accidents' Narratives Using Deep Learning [link] Paper link bibtex
Geyer, E. C.; Fua, K.; Daniel, K. E.; Chow, P. I.; Bonelli, W.; Huang, Y.; Barnes, L. E. ; and Teachman, B. A. I Did OK, but Did I Like It? Using Ecological Momentary Assessment to Examine Perceptions of Social Interactions Associated With Severity of Social Anxiety and Depression. Behavior therapy . 2018.
I Did OK, but Did I Like It? Using Ecological Momentary Assessment to Examine Perceptions of Social Interactions Associated With Severity of Social Anxiety and Depression [link] Paper link bibtex
Boukhechba, M.; Cai, L.; Chow, P. I.; Fua, K.; Gerber, M. S.; Teachman, B. A.; and Barnes, L. E. Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. Unknown Journal . 2018.
Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment [link] Paper link bibtex
Napoli, N. J.; Demas, M.; Mendu, S.; Stephens, C.; Kennedy, K. D.; Harrivel, A. R.; Bailey, R. E.; and Barnes, L. E. Uncertainty in heart rate complexity metrics caused by R-peak perturbations. Computers in biology and medicine . 2018.
Uncertainty in heart rate complexity metrics caused by R-peak perturbations [link] Paper link bibtex
Charles, E. J.; Napoli, N. J.; Johnston, L. E.; Foster, C.; Goode, D. A; Parker, T. B.; Sharp, E.; Barnes, L. E. ; and Young, J. S. Outcomes after Falls Continue to Worsen Despite Trauma and Geriatric Care Advancements . ˜The œAmerican surgeon . 2018.
<i>Outcomes after Falls Continue to Worsen Despite Trauma and Geriatric Care Advancements</i> [link] Paper link bibtex
Mendu, S.; Boukhechba, M.; Gordon, J. R.; Datta, D.; Molina, E.; Arroyo, G.; Proctor, S. K.; Wells, K. J.; and Barnes, L. E. Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. Unknown Journal . 2018.
Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer [link] Paper link bibtex
Nobles, A. L.; Dreisbach, C.; Keim‐Malpass, J.; and Barnes, L. E. "Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit. Proceedings of the International AAAI Conference on Weblogs and Social Media . 2018.
"Is This an STD? Please Help!": Online Information Seeking for Sexually Transmitted Diseases on Reddit [link] Paper link bibtex
Wu, C.; Boukhechba, M.; Cai, L.; Barnes, L. E. ; and Gerber, M. S. Improving momentary stress measurement and prediction with bluetooth encounter networks. Smart health (Print) . 2018.
Improving momentary stress measurement and prediction with bluetooth encounter networks [link] Paper link bibtex
Wang, R. Z.; Sun, C. H.; Schroeder, P.; Ameko, M. K.; Moore, C. C.; and Barnes, L. E. Predictive Models of Sepsis in Adult ICU Patients. Unknown Journal . 2018.
Predictive Models of Sepsis in Adult ICU Patients [link] Paper link bibtex
Schroeder, P.; Napoli, N. J.; Barnhardt, W.; Barnes, L. E. ; and Young, J. S. Relative Mortality Analysis Of The “Golden Hour”: A Comprehensive Acuity Stratification Approach To Address Disagreement In Current Literature. Prehospital emergency care (Print) . 2018.
Relative Mortality Analysis Of The “Golden Hour”: A Comprehensive Acuity Stratification Approach To Address Disagreement In Current Literature [link] Paper link bibtex
Cai, L.; Boukhechba, M.; Wu, C.; Chow, P. I.; Teachman, B. A.; Barnes, L. E. ; and Gerber, M. S. State affect recognition using smartphone sensing data. Unknown Journal . 2018.
State affect recognition using smartphone sensing data [link] Paper link bibtex
Turner, J. C.; Keller, A.; Wu, H.; Zimmerman, M. C.; Zhang, J.; and Barnes, L. E. Utilization of primary care among college students with mental health disorders. Health psychology (Print) . 2018.
Utilization of primary care among college students with mental health disorders. [link] Paper link bibtex
Ameko, M. K.; Cai, L.; Boukhechba, M.; Daros, A. R.; Chow, P. I.; Teachman, B. A.; Gerber, M. S.; and Barnes, L. E. Cluster-based approach to improve affect recognition from passively sensed data. Unknown Journal . 2018.
Cluster-based approach to improve affect recognition from passively sensed data [link] Paper link bibtex
Wu, C.; Cai, L.; Gerber, M. S.; Boukhechba, M.; and Barnes, L. E. Vector Space Representation of Bluetooth Encounters for Mental Health Inference. Unknown Journal . 2018.
Vector Space Representation of Bluetooth Encounters for Mental Health Inference [link] Paper link bibtex
Boukhechba, M.; Gong, J.; Kowsari, K.; Ameko, M. K.; Fua, K.; Chow, P. I.; Huang, Y.; Teachman, B. A.; and Barnes, L. E. Physiological changes over the course of cognitive bias modification for social anxiety. Unknown Journal . 2018.
Physiological changes over the course of cognitive bias modification for social anxiety [link] Paper link bibtex
Stevens, R. S.; Polk, K.; Merrill, C.; Fan, F.; Weiss, M.; Brosnan, E.; Gerber, M. S.; and Barnes, L. E. User experience design to enhance the effectiveness of mobile technologies for the treatment of mental health. Unknown Journal . 2018.
User experience design to enhance the effectiveness of mobile technologies for the treatment of mental health [link] Paper link bibtex
Boukhechba, M.; Baee, S.; Nobles, A. L.; Gong, J.; Wells, K. J.; and Barnes, L. E. A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. Unknown Journal . 2018.
A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors [link] Paper link bibtex
Boukhechba, M.; Daros, A. R.; Chow, P. I.; Fua, K.; Teachman, B. A.; and Barnes, L. E. DemonicSalmon: Monitoring Social Anxiety and Depression Symptoms Through Smartphones. Unknown Journal . 2018.
DemonicSalmon: Monitoring Social Anxiety and Depression Symptoms Through Smartphones [link] Paper link bibtex
Boukhechba, M.; Chow, P. I.; Fua, K.; Teachman, B. A.; and Barnes, L. E. Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study (Preprint). Unknown Journal . 2018.
Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study (Preprint) [link] Paper link bibtex
Schmeider, L.; Kessenich, A.; Libowitz, B.; Hazlett, D.; Pendharkar, A.; Dickie, B.; Barnes, L. E. ; and Gerber, M. S. Actigraphy-based modeling of patient recovery following breast reconstruction surgery. Unknown Journal . 2018.
Actigraphy-based modeling of patient recovery following breast reconstruction surgery [link] Paper link bibtex
Chairs, G.; Shi, W.; Walid, A.; Hall, E. L.; Wang, F.; Zhang, G.; Han, S.; Sun, Y.; Leo, J.; Li, Q.; Wang, W.; Services, S. A.; Sha, K.; Chair, P.; Suresh, S.; Fang, H.; Mahmud, S.; Arnetz, B. B.; Barnes, L. E. ; Bhatia, D.; Bian, J.; Bonato, P.; Chen, P.; Chen, Y.; Chen, Y.; Choo, K. R.; Chuah, M. C.; Fortino, G.; Gong, J.; Gotz, D.; Hu, X.; Huang, S.; Jafari, R.; Jiang, X.; Lee, S.; Lin, F.; Lin, S. C.; Liu, L.; Ya, L.; Wang, H.; Ma, H.; Melodia, T.; Mortazavi, B. J.; Moskovitch, R.; Mukkamala, R.; Nirjon, S.; Agu, E.; Skubic, M.; Sokolsky, O.; Tan, C. C.; Tian, H.; Venkatasubramanian, K. K.; Weimer, J.; Xu, W.; Yang, C. C.; Yu, J. B.; Yu, S.; Zhang, M.; Zhang, Y.; Tao, Z.; Chen, C.; Lach, J.; Li, Y.; Huang, M.; Lee, I.; Pavel, M.; and Sarrafzadeh, M. Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies. Unknown Journal . 2018.
Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies [link] Paper link bibtex
Chairs, G.; Shi, W.; Walid, A.; Hall, E. L.; Wang, F.; Zhang, G.; Han, S.; Sun, Y.; Leo, J.; Li, Q.; Wang, W.; Services, S. A.; Sha, K.; Chair, P.; Suresh, S.; Fang, H.; Mahmud, S.; Arnetz, B. B.; Barnes, L. E. ; Bhatia, D.; Bian, J.; Bonato, P.; Chen, P.; Chen, Y.; Chen, Y.; Choo, K. R.; Chuah, M. C.; Fortino, G.; Gong, J.; Gotz, D.; Hu, X.; Huang, S.; Jafari, R.; Jiang, X.; Lee, S.; Lin, F.; Lin, S. C.; Liu, L.; Ya, L.; Wang, H.; Ma, H.; Melodia, T.; Mortazavi, B. J.; Moskovitch, R.; Mukkamala, R.; Nirjon, S.; Agu, E.; Skubic, M.; Sokolsky, O.; Tan, C. C.; Tian, H.; Venkatasubramanian, K. K.; Weimer, J.; Xu, W.; Yang, C. C.; Yu, J. B.; Yu, S.; Zhang, M.; Zhang, Y.; Tao, Z.; Chen, C.; Lach, J.; Li, Y.; Huang, M.; Lee, I.; Pavel, M.; and Sarrafzadeh, M. Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies. Unknown Journal . 2018.
Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies [link] Paper link bibtex
2017 (23)
Kowsari, K.; Brown, D. E.; Heidarysafa, M.; Meimandi, K. J.; Gerber, M. S.; and Barnes, L. E. HDLTex: Hierarchical Deep Learning for Text Classification. Unknown Journal . 2017.
HDLTex: Hierarchical Deep Learning for Text Classification [link] Paper link bibtex
Chow, P. I.; Fua, K.; Huang, Y.; Bonelli, W.; Xiong, H.; Barnes, L. E. ; and Teachman, B. A. Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students. JMIR. Journal of medical internet research . 2017.
Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students [link] Paper link bibtex
Moore, C. C.; Hazard, R.; Saulters, K. J.; Ainsworth, J.; Adakun, S.; Almasi‐Hashiani, A.; Andrews, B.; Auma, M.; Baker, T.; Banura, P.; Crump, J. A.; Grobusch, M. P.; Huson, M. A. M.; Jacob, S. T.; Jarrett, O. D; Kellett, J.; Lakhi, S.; Majwala, A.; Opio, M. O.; Rubach, M. P.; Rylance, J.; Scheld, W. M.; Schieffelin, J. S.; Ssekitoleko, R.; Wheeler, I.; and Barnes, L. E. Derivation and validation of a universal vital assessment (UVA) score: a tool for predicting mortality in adult hospitalised patients in sub-Saharan Africa. BMJ global health . 2017.
Derivation and validation of a universal vital assessment (UVA) score: a tool for predicting mortality in adult hospitalised patients in sub-Saharan Africa [link] Paper link bibtex
Boukhechba, M.; Huang, Y.; Chow, P. I.; Fua, K.; Teachman, B. A.; and Barnes, L. E. Monitoring social anxiety from mobility and communication patterns. Unknown Journal . 2017.
Monitoring social anxiety from mobility and communication patterns [link] Paper link bibtex
Alipour, M.; Harris, D. K.; Barnes, L. E. ; Ozbulut, O. E.; and Carroll, J. Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests. Journal of bridge engineering . 2017.
Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests [link] Paper link bibtex
Zhang, J.; Gong, J.; and Barnes, L. E. HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. Unknown Journal . 2017.
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records [link] Paper link bibtex
Xiong, H.; Zhang, D.; Guo, Z.; Chen, G.; and Barnes, L. E. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. IEEE communications magazine (Print) . 2017.
Near-Optimal Incentive Allocation for Piggyback Crowdsensing [link] Paper link bibtex
Huang, Y.; Gong, J.; Rucker, M.; Chow, P. I.; Fua, K.; Gerber, M. S.; Teachman, B. A.; and Barnes, L. E. Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. Unknown Journal . 2017.
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data [link] Paper link bibtex
Xiong, H.; Zhang, J.; Huang, Y.; Leach, K.; and Barnes, L. E. Daehr . ACM transactions on intelligent systems and technology (Print) . 2017.
<i>Daehr</i> [link] Paper link bibtex
Harris, D. K.; Alipour, M.; Acton, S. T.; Messeri, L.; Vaccari, A.; and Barnes, L. E. The Citizen Engineer: Urban Infrastructure Monitoring via Crowd-Sourced Data Analytics. Structures Congress 2017 . 2017.
The Citizen Engineer: Urban Infrastructure Monitoring via Crowd-Sourced Data Analytics [link] Paper link bibtex
Bian, J.; Barnes, L. E. ; Chen, G.; and Xiong, H. Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. Unknown Journal . 2017.
Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis [link] Paper link bibtex
Alexander, B.; Karakas, K.; Kohout, C.; Sakarya, H.; Singh, N.; Stachtiaris, J.; Barnes, L. E. ; and Gerber, M. S. A behavioral sensing system that promotes positive lifestyle changes and improves metabolic control among adults with type 2 diabetes. Unknown Journal . 2017.
A behavioral sensing system that promotes positive lifestyle changes and improves metabolic control among adults with type 2 diabetes [link] Paper link bibtex
Alipour, M.; Harris, D. K.; and Barnes, L. E. Pattern Recognition in the National Bridge Inventory for Automated Screening and the Assessment of Infrastructure. Structures Congress 2017 . 2017.
Pattern Recognition in the National Bridge Inventory for Automated Screening and the Assessment of Infrastructure [link] Paper link bibtex
Napoli, N. J.; Barnhardt, W.; Kotoriy, M. E.; Young, J. S.; and Barnes, L. E. Relative mortality analysis: A new tool to evaluate clinical performance in trauma centers. IISE transactions on healthcare systems engineering (Print) . 2017.
Relative mortality analysis: A new tool to evaluate clinical performance in trauma centers [link] Paper link bibtex
Abraham, B.; Duong, D. N.; George, M. T.; Greene, M. L.; Kepley, J.; Rosenburg, K.; Gerber, M. S.; and Barnes, L. E. Using patient-generated health data to facilitate preoperative decision making for breast cancer patients. Unknown Journal . 2017.
Using patient-generated health data to facilitate preoperative decision making for breast cancer patients [link] Paper link bibtex
Julia, L.; Vilankar, K; Kang, H.; Brown, D. E.; Mathers, A. J; and Barnes, L. E. Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. PubMed . 2017.
Environmental Reservoirs of Nosocomial Infection: Imputation Methods for Linking Clinical and Environmental Microbiological Data to Understand Infection Transmission. [link] Paper link bibtex
Napoli, N. J.; Kotoriy, M. E.; Barnhardt, W.; Young, J. S.; and Barnes, L. E. Addressing bias from non-random missing attributes in health data. Unknown Journal . 2017.
Addressing bias from non-random missing attributes in health data [link] Paper link bibtex
Pulido, J. V.; Fields, M.; and Barnes, L. E. On-the-fly Learning and Monitoring of Partially Observed Navigation Plan. Unknown Journal . 2017.
On-the-fly Learning and Monitoring of Partially Observed Navigation Plan [link] Paper link bibtex
Stephens, C.; Kennedy, K. D.; Napoli, N. J.; Demas, M.; Barnes, L. E. ; Crook, B. L.; Williams, R.; and Schutte, P. C. Effects on Task Performance and Psychophysiological Measures of Performance During Normobaric Hypoxia Exposure. Unknown Journal . 2017.
Effects on Task Performance and Psychophysiological Measures of Performance During Normobaric Hypoxia Exposure [pdf] Paper link bibtex
Alipour, M.; Harris, D. K.; Barnes, L. E. ; Ozbulut, O. E.; and Carroll, J. Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests. Journal of bridge engineering . 2017.
Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests [link] Paper link bibtex
Harris, D. K.; Alipour, M.; Acton, S. T.; Messeri, L.; Vaccari, A.; and Barnes, L. E. The Citizen Engineer: Urban Infrastructure Monitoring via Crowd-Sourced Data Analytics. Structures Congress 2017 . 2017.
The Citizen Engineer: Urban Infrastructure Monitoring via Crowd-Sourced Data Analytics [link] Paper link bibtex
Alipour, M.; Harris, D. K.; and Barnes, L. E. Pattern Recognition in the National Bridge Inventory for Automated Screening and the Assessment of Infrastructure. Structures Congress 2017 . 2017.
Pattern Recognition in the National Bridge Inventory for Automated Screening and the Assessment of Infrastructure [link] Paper link bibtex
Alipour, M.; Harris, D. K.; Barnes, L. E. ; Ozbulut, O. E.; and Carroll, J. Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests. Journal of bridge engineering . 2017.
Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests [link] Paper link bibtex

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