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2020 – today
- 2024
[c63]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: 278:1-278:8- [i33]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 abs/2407.08143 (2024) - [i32]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 abs/2407.08516 (2024) - [i31]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 abs/2407.14458 (2024) - [i30]Zhiyuan Wang, Fangxu Yuan, Virginia LeBaron, Tabor Flickinger, Laura E. Barnes:
PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models. CoRR abs/2409.15188 (2024) - 2023
- [j21]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): 134:1-134:26 (2023) - [j20]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: 15-30 (2023) - [j19]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): 3019-3040 (2023) - [j18]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): 47:1-47:50 (2023) - [c62]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: 1-4 - [c61]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: 1-6 - [c60]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: 1-8 - [c59]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: 413-420 - [i29]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 abs/2304.01293 (2023) - [i28]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 abs/2304.09928 (2023) - [i27]Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba:
Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. CoRR abs/2312.12666 (2023) - 2022
- [j17]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): 37:1-37:13 (2022) - [j16]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): 15413-15434 (2022) - [c58]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: 39-43 - [c57]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: 570-583 - [c56]Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, P. Thomas Fletcher:
A Geometrical Approach to Finding Difficult Examples in Language. TAG-ML 2022: 86-95 - [i26]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. CoRR abs/2203.15935 (2022) - [i25]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 abs/2209.04710 (2022) - 2021
- [c55]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: 400-406 - [c54]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: 185-198 - [c53]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: 1-4 - [c52]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: 46-57 - [c51]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: 291-300 - [c50]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: 13158-13168 - [c49]Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Semi-supervised Graph Instance Transformer for Mental Health Inference. ICMLA 2021: 1221-1228 - [c48]Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. IntelliSys (1) 2021: 31-50 - [i24]Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes:
LonelyText: A Short Messaging Based Classification of Loneliness. CoRR abs/2101.09138 (2021) - [i23]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 abs/2102.03453 (2021) - [i22]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 abs/2107.00948 (2021) - [i21]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 abs/2112.00985 (2021) - [i20]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 abs/2112.01537 (2021) - 2020
- [j15]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): 109:1-109:24 (2020) - [j14]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): 144:1-144:23 (2020) - [j13]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): 24-36 (2020) - [c47]Mehdi Boukhechba, Laura E. Barnes:
SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. AHFE (17) 2020: 510-516 - [c46]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: 885-892 - [c45]Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab:
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. IHCI (1) 2020: 48-58 - [c44]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: 251-254 - [c43]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: 249-258 - [c42]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: 610-624 - [i19]Mark A. Rucker, Layne T. Watson, Laura E. Barnes, Matthew S. Gerber:
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning. CoRR abs/2002.10904 (2020) - [i18]Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown:
Gender Detection on Social Networks using Ensemble Deep Learning. CoRR abs/2004.06518 (2020) - [i17]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 abs/2008.09472 (2020) - [i16]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 abs/2010.06059 (2020) - [i15]Debajyoti Datta, Shashwat Kumar, Laura E. Barnes, Tom Fletcher:
Geometry matters: Exploring language examples at the decision boundary. CoRR abs/2010.07212 (2020) - [i14]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 abs/2010.12710 (2020) - [i13]Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura E. Barnes, Afsaneh Doryab:
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. CoRR abs/2010.16052 (2020) - [i12]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 abs/2011.04802 (2020)
2010 – 2019
- 2019
- [j12]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: 57-68 (2019) - [j11]Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown:
Text Classification Algorithms: A Survey. Inf. 10(4): 150 (2019) - [c41]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: 428-433 - [c40]Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E. Barnes, Matthew S. Gerber:
Adaptive Passive Mobile Sensing Using Reinforcement Learning. WOWMOM 2019: 1-6 - [i11]Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown:
Text Classification Algorithms: A Survey. CoRR abs/1904.08067 (2019) - [i10]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 abs/1912.03804 (2019) - [i9]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 abs/1912.07773 (2019) - [i8]Nutta Homdee, Mehdi Boukhechba, Yixue Wendy Feng, Natalie Kramer, John C. Lach, Laura E. Barnes:
Enabling Smartphone-based Estimation of Heart Rate. CoRR abs/1912.08910 (2019) - 2018
- [j10]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: 65333-65346 (2018) - [j9]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: 198-207 (2018) - [c39]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: 275-278 - [c38]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: 422-425 - [c37]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: 434-437 - [c36]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: 413 - [c35]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: 1691-1699 - [c34]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: 390-391 - [c33]Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
RMDL: Random Multimodel Deep Learning for Classification. ICISDM 2018: 19-28 - [c32]Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. ICMLA 2018: 1446-1453 - [c31]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: 660-663 - [c30]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: 232-238 - [c29]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: 360-366 - [i7]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 abs/1802.00029 (2018) - [i6]Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes:
RMDL: Random Multimodel Deep Learning for Classification. CoRR abs/1805.01890 (2018) - [i5]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 abs/1808.08121 (2018) - [i4]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 abs/1810.04793 (2018) - [i3]Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown:
Analysis of Railway Accidents' Narratives Using Deep Learning. CoRR abs/1810.07382 (2018) - 2017
- [j8]Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, Laura E. Barnes:
Near-Optimal Incentive Allocation for Piggyback Crowdsensing. IEEE Commun. Mag. 55(6): 120-125 (2017) - [j7]Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes:
Daehr: 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): 47:1-47:21 (2017) - [c28]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 - [c27]J. Vince Pulido, Mary-Anne Fields, Laura E. Barnes:
On-the-fly Learning and Monitoring of Partially Observed Navigation Plan. AAMAS 2017: 1700-1702 - [c26]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: 265-268 - [c25]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: 457-460 - [c24]Jinghe Zhang, Jiaqi Gong, Laura E. Barnes:
HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records. CHASE 2017: 214-221 - [c23]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: 749-753 - [c22]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: 364-371 - [c21]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: 9-14 - [i2]Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes:
HDLTex: Hierarchical Deep Learning for Text Classification. CoRR abs/1709.08267 (2017) - 2016
- [j6]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): 2010-2022 (2016) - [c20]Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton:
Graph-based classification of healthcare provider activity. ACSSC 2016: 1268-1272 - [c19]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 - [c18]Nicholas J. Napoli, Kevin Leach, Laura E. Barnes, Westley Weimer:
A MapReduce framework to improve template matching uncertainty. BigComp 2016: 77-84 - [c17]Nicholas J. Napoli, Laura E. Barnes:
A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. FLAIRS 2016: 355-360 - [c16]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: 415-426 - [c15]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: 898-903 - [c14]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: 1139-1143 - [c13]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: 451-455 - [i1]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 abs/1610.05446 (2016) - 2015
- [j5]Eric T. Greenlee, Gregory J. Funke, Joel S. Warm, Victor S. Finomore Jr., Robert Earl Patterson, Laura E. Barnes, Matthew E. Funke, Michael A. Vidulich:
Effects of Stereoscopic Depth on Vigilance Performance and Cerebral Hemodynamics. Hum. Factors 57(6): 1063-1075 (2015) - [j4]Eleazar Gil-Herrera, Garrick Aden-Buie, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic:
Rough set theory based prognostic classification models for hospice referral. BMC Medical Informatics Decis. Mak. 15: 98:1-98:18 (2015) - [c12]Rupa Valdez, Sahiti Myneni, Andrea L. Hartzler, Lena Mamykina, Nathan K. Cobb, Laura E. Barnes:
Opportunities for Social Media within Consumer Health Informatics. AMIA 2015 - [c11]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 - [c10]Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes:
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. IEEE BigData 2015: 2569-2577 - [c9]Alicia L. Nobles, Ketki Vilankar, Hao Wu, Laura E. Barnes:
Evaluation of data quality of multisite electronic health record data for secondary analysis. IEEE BigData 2015: 2612-2620 - [c8]Nicholas J. Napoli, Laura E. Barnes, Kamal Premaratne:
Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. FUSION 2015: 311-318 - 2014
- [c7]Bijan Morshedi, Alexis V. Chaet, Cameron Brown, Gloria Arroyo, Sara K. Proctor, Rupa Valdez, Kristen J. Wells, Laura E. Barnes:
User Preferences Influencing the Design of a Tailored Virtual Patient Educator in a Latina Farm Worker Community. AMIA 2014 - 2012
- [c6]Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic:
Towards a classification model to identify hospice candidates in terminally ill patients. EMBC 2012: 1278-1281 - 2011
- [j3]Athanasios Tsalatsanis, Laura E. Barnes, Iztok Hozo, Benjamin Djulbegovic:
Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients. BMC Medical Informatics Decis. Mak. 11: 77 (2011) - [c5]Athanasios Tsalatsanis, Eleazar Gil-Herrera, Ali Yalcin, Benjamin Djulbegovic, Laura E. Barnes:
Designing patient-centric applications for chronic disease management. EMBC 2011: 3146-3149 - [c4]Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic:
Rough Set Theory based prognostication of life expectancy for terminally ill patients. EMBC 2011: 6438-6441 - 2010
- [j2]Richard Garcia, Laura E. Barnes:
Multi-UAV Simulator Utilizing X-Plane. J. Intell. Robotic Syst. 57(1-4): 393-406 (2010)
2000 – 2009
- 2009
- [j1]Laura E. Barnes, Mary-Anne Fields, Kimon P. Valavanis:
Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1434-1445 (2009) - [c3]Mary-Anne Fields, Ellen C. Haas, Susan Hill, Chris Stachowiak, Laura E. Barnes:
Effective robot team control methodologies for battlefield applications. IROS 2009: 5862-5867 - 2008
- [c2]Laura E. Barnes, Richard Garcia, Mary-Anne Fields, Kimon P. Valavanis:
Swarm formation control utilizing ground and aerial unmanned systems. IROS 2008: 4205 - 2004
- [c1]Thomas David Fincannon, Laura Elizabeth Barnes, Robin R. Murphy, Dawn L. Riddle:
Evidence of the need for social intelligence in rescue robots. IROS 2004: 1089-1095
Coauthor Index
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