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Years: 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 and earlier
2023
Ilana Ladis, Arsen Seitov, Laura E Barnes, Bethany A Teachman. Perceived Burdensomeness and Thwarted Belongingness in Text Messages of Suicide Attempt Survivors. Archives of Suicide Research – June 2023
Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbel, Laura E Barnes, Mehdi Boukhechba. Graph neural networks in IoT: a survey. ACM Transactions on Sensor Networks – Vol. 19, No. 2, April 2023
Tabor Flickinger, Virginia LeBaron, Mehdi Boukhechba, James Edwards, Zhiyuan Wang, David Ling, Daniel Wilson, Laura Barnes. Evidence-based approach to designing wearable technology to improve patient-clinician communication. Patient Education and Counseling – Vol. 109, April 2023
Lihua Cai, Laura E Barnes, Mehdi Boukhechba. Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. Journal of Ambient Intelligence and Humanized Computing – Vol. 14, No. 4, April 2023
Nicholas J Napoli, Chad L Stephens, Kellie D Kennedy, Laura E Barnes, Ezequiel Juarez Garcia, Angela R Harrivel. NAPS Fusion: A framework to overcome experimental data limitations to predict human performance and cognitive task outcomes. Information Fusion – Vol. 91, March 2023
Katharine E Daniel, Maria A Larrazabal, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. State and Trait Emotion Regulation Diversity in Social Anxiety. Clinical Psychological Science – February 2023
Alexandra L Silverman, Jennifer M Boggs, Jeremy W Eberle, Megan Baldwin, Henry C Behan, Anna Baglione, Valerie Paolino, Vela de la Garza Evia, F Ángel, Medhi Boukhechba, Laura Barnes, Daniel H Funk, Bethany A Teachman. Minimal effect of messaging on engagement in a digital anxiety intervention. Professional Psychology: Research and Practice – February 2023
Chaitanya S Kulkarni, Shiyu Deng, Tianzi Wang, Jacob Hartman-Kenzler, Laura E Barnes, Sarah Henrickson Parker, Shawn D Safford, Nathan Lau. Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery. Surgical Endoscopy – Vol. 37, No. 2, February 2023
Ilana Ladis, Tara L Valladares, Daniel DL Coppersmith, Jeffrey J Glenn, Alicia L Nobles, Laura E Barnes, Bethany A Teachman. Inferring sleep disturbance from text messages of suicide attempt survivors: A pilot study. Suicide and Life‐Threatening Behavior – Vol. 53, No. 1, February 2023
2022
Anna N Baglione, Sarah Tolman, Chloe Dapaah, Danielle Johnson, Kristen J Wells, Richard D Hall, Ryan D Gentzler, Laura E Barnes. mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment. International Conference on Pervasive Computing Technologies for Healthcare – December 2022
Ilana Ladis, Emma R Toner, Alexander R Daros, Katharine E Daniel, Mehdi Boukhechba, Philip I Chow, Laura E Barnes, Bethany A Teachman, Brett Q Ford. Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?. Affective Science – December 2022
Debajyoti Datta, Shashwat Kumar, Laura Barnes, P Thomas Fletcher. A Geometrical Approach to Finding Difficult Examples in Language. Topological, Algebraic and Geometric Learning Workshops 2022 – November 2022
Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Mehdi Boukhechba, Laura Barnes. 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 – Vol. 3, No. 4, November 2022
Robert Gutierrez, Allison McCrady, Chelsea Masterson, Sarah Tolman, Mehdi Boukhechba, Laura Barnes, Silvia Blemker, Rebecca Scharf. Upper Extremity Examination for Neuromuscular Diseases (U-EXTEND): Protocol for a Multimodal Feasibility Study. JMIR Research Protocols – Vol. 11, No. 10, October 2022
Manuel Gonzales, Cristian Garcia-Alcaraz, Navreet Kaur, Jiaqi Gong, Xishi Zhu, Sarah Tolman, Laura E Barnes, Kristen J Wells. 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 – Vol. 40, No. 28, October 2022
Shashwat Kumar, Robert Gutierezz, 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. Proceedings of the 2022 ACM International Symposium on Wearable Computers – September 2022
Shiyu Deng, Tianzi Wang, Jacob Hartman-Kenzler, Sarah Henrickson Parker, Shawn D Safford, Laura E Barnes, Nathan Lau. 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 – Vol. 66, No. 1, September 2022
S Michaela Rikard, Bommae Kim, Jonathan D Michel, Shayn M Peirce, Laura E Barnes, Michael D Williams. Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes. SSM-Population Health – Vol. 66, No. 1, September 2022
Virginia LeBaron, Mehdi Boukhechba, James Edwards, Tabor Flickinger, David Ling, Laura E Barnes. Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study. JMIR Research Protocols – Vol. 19, September 2022
Zhiyuan Wang, Haoyi Xiong, Mingyue Tang, Mehdi Boukhechba, Tabor E Flickinger, Laura E Barnes. Mobile sensing in the COVID-19 era: A review. Health Data Science – Vol. 19, August 2022
Ilana Ladis, Alexander R Daros, Mehdi Boukhechba, Katharine E Daniel, Philip I Chow, Miranda L Beltzer, Laura E Barnes, Bethany A Teachman. 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 – Vol. 41, No. 4, August 2022
Robert Gutierrez, Joe Hart, Laura Barnes, Mehdi Boukhechba. Using Inertial Measurement Units (IMU) and Comparative Trajectory Analysis for Modeling Micro-Level Human Motion Dysfunction. Human Factors and Wearable Technologies – Vol. 29, July 2022
Virginia LeBaron, Mehdi Boukhechba, James Edwards, Tabor Flickinger, David Ling, Laura E Barnes. Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study. JMIR Research Protocols – Vol. 11, No. 5, May 2022
Alexandra Werntz, Alexandra L Silverman, Henry Behan, Suraj K Patel, Miranda Beltzer, Mehdi O Boukhechba, Laura Barnes, Bethany A Teachman. Lessons Learned: Providing Supportive Accountability in an Online Anxiety Intervention. Behavior Therapy – Vol. 53, No. 3, May 2022
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 of Things Journal – March 2022
Alexandra Lee Silverman, Jennifer M Boggs, Jeremy William Eberle, Megan Baldwin, Henry C Behan, Anna Baglione, Valerie Paolino, Angel F Vela de la Garza, Mehdi Boukhechba, Laura Barnes, Dan Funk, Bethany Teachman. Minimal Effect of Messaging on Engagement in a Digital Anxiety Intervention. PsyArXiv – January 2022
Miranda L Beltzer, Mawulolo K Ameko, Katharine E Daniel, Alexander R Daros, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. Building an emotion regulation recommender algorithm for socially anxious individuals using contextual bandits. British Journal of Clinical Psychology – Vol. 61, January 2022
2021
Lihua Cai, Laura E Barnes, Mehdi Boukhechba. A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. Proceedings of SAI Intelligent Systems Conference – September 2021
Lihua Cai, Laura E Barnes, Mehdi Boukhechba. Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. Journal of Ambient Intelligence and Humanized Computing – August 2021
Navreet Kaur, Manuel Gonzales, Cristian Garcia Alcaraz, Laura E Barnes, Kristen J Wells, Jiaqi Gong. Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) – July 2021
Katharine E Daniel, Sanjana Mendu, Anna Baglione, Lihua Cai, Bethany A Teachman, Laura E Barnes, Mehdi Boukhechba. Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life. Anxiety, Stress, & Coping – July 2021
Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch, Laura Barnes, Mehdi Boukhechba. Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback. International Conference on Applied Human Factors and Ergonomics – July 2021
Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian. Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems – May 2021
Debajyoti Datta, Maria Phillips, James P Bywater, Jennifer Chiu, Ginger S Watson, Laura Barnes, Donald Brown. Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents. Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications – April 2021
Guimin Dong, Lihua Cai, Debajyoti Datta, Shashwat Kumar, Laura E Barnes, Mehdi Boukhechba. Influenza-like symptom recognition using mobile sensing and graph neural networks. Proceedings of the Conference on Health, Inference, and Learning – April 2021
Julie L Ji, Sonia Baee, Diheng Zhang, Claudia P Calicho-Mamani, M Joseph Meyer, Daniel Funk, Samuel Portnow, Laura Barnes, Bethany A Teachman. Multi-session online interpretation bias training for anxiety in a community sample. Behaviour Research and Therapy – April 2021
Guimin Dong, Mehdi Boukhechba, Kelly M Shaffer, Lee M Ritterband, Daniel G Gioeli, Matthew J Reilley, Tri M Le, Paul R Kunk, Todd W Bauer, Philip I Chow. Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. Journal of Healthcare Informatics Research – April 2021
Seanna Adam, Brian Coward, Grayson DeBerry, Caroline Glazier, Evan Magnusson, Mehdi Boukhechba. Investigating Novel Proximity Monitoring Techniques Using Ubiquitous Sensor Technology. 2021 Systems and Information Engineering Design Symposium (SIEDS) – April 2021
Arash Tavakoli, Shashwat Kumar, Xiang Guo, Vahid Balali, Mehdi Boukhechba, Arsalan Heydarian. HARMONY: A Human-Centered Multimodal Driving Study in the Wild. IEEE Access – Vol. 9, February 2021
Chris Neale, Alistair Griffiths, Lauriane Suyin Chalmin-Pui, Sanjana Mendu, Mehdi Boukhechba, Jenny Roe. Color aesthetics: A transatlantic comparison of psychological and physiological impacts of warm and cool colors in garden landscapes. Wellbeing, Space and Society – Vol. 2, January 2021
2020
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba, James Harrison, Jennifer Lobo, Laura Barnes. Sparse longitudinal representations of electronic health record data for the early detection of chronic kidney disease in diabetic patients. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) – Deccember 2020
Sanjana Mendu, Anna Baglione, Sonia Baee, Congyu Wu, Brandon Ng, Adi Shaked, Gerald Clore, Mehdi Boukhechba, Laura Barnes. A framework for understanding the relationship between social media discourse and mental health. Proceedings of the ACM on Human-Computer Interaction – Vol. 4, December 2020
Katharine E Daniel, Fallon R Goodman, Miranda L Beltzer, Alexander R Daros, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. Emotion malleability beliefs and emotion experience and regulation in the daily lives of people with high trait social anxiety. Cognitive Therapy and Research – Vol. 44, No. 6, December 2020
Meghan Mattos, Laura Barnes, Eric Davis, Carol Manning, Mark Quigg, Lee Ritterband. Use of Technology in an Internet-Delivered Intervention for Older Adults With Mild Cognitive Impairment. Innovation in Aging – Vol. 4, No. 1, December 2020
Miranda L Beltzer, Mawulolo K Ameko, Katharine E Daniel, Alexander R Daros, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. Building an emotion regulation recommender algorithm for socially anxious individuals using contextual bandits. British Journal of Clinical Psychology – December 2020
Meghan K Mattos, Laura Barnes, Eric M Davis, Carol A Manning, Moeen Mostafavi, Mark S Quigg, Hillary Perez, Ann Sollinger, Lee M Ritterband. Preliminary feasibility of technology use in an internet-delivered intervention: Improving sleep in older adults with mild cognitive impairment. Alzheimer’s & Dementia – Vol. 16, December 2020
Elizabeth A Gulleen, Mawulolo K Ameko, John E Ainsworth, Laura E Barnes, Christopher C Moore. Predictive Models of Fever, ICU Transfer, and Mortality in Hospitalized Patients With Neutropenia. Critical care explorations – Vol. 2, No. 12, December 2020
Ankur Sarker, Fan Yao, Haiying Shen, Huiying Zhao, Haoran Zhu, Haroon Lone, Laura Barnes, Brad Campbell, Mitchel Rosen. Deep Learning Based Prediction Towards Designing A Smart Building Assistant System. 2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) – December 2020
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E Barnes, Donald E Brown. Gender detection on social networks using ensemble deep learning. Proceedings of the Future Technologies Conference – November 2020
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi, Laura Barnes, Afsaneh Doryab. HHAR-net: Hierarchical Human Activity Recognition using Neural Networks. International Conference on Intelligent Human Computer Interaction – November 2020
Mehdi Boukhechba, Anna N Baglione, Laura E Barnes. Leveraging Mobile Sensing and Machine Learning for Personalized Mental Health Care. Ergonomics in Design – Vol. 28, No. 4, October 2020
Haroon Rashid, Sanjana Mendu, Katharine E Daniel, Miranda L Beltzer, Bethany A Teachman, Mehdi Boukhechba, Laura E Barnes. Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies – Vol. 4, No. 3, September 2020
Mawulolo K Ameko, Miranda L Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A Teachman, Laura E Barnes. Offline contextual multi-armed bandits for mobile health interventions: A case study on emotion regulation. Fourteenth ACM Conference on Recommender Systems – September 2020
Jenny Roe, Andrew Mondschein, Chris Neale, Laura Barnes, Medhi Boukhechba, Stephanie Lopez. The urban built environment, walking and mental health outcomes among older adults: a pilot study. Frontiers in public health – September 2020
Jeffrey J Glenn, Alicia L Nobles, Laura E Barnes, Bethany A Teachman. SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. Clinical Psychological Science – Vol. 8, No. 4, July 2020
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E Barnes, Donald E Brown. Women in ISIS propaganda: A natural language processing analysis of topics and emotions in a comparison with a mainstream religious group. Science and Information Conference – July 2020
Mehdi Boukhechba, Laura E Barnes. Swear: Sensing using wearables. Generalized human crowdsensing on smartwatches. International Conference on Applied Human Factors and Ergonomics – July 2020
Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian. Personalized Driver State Profiles: A Naturalistic Data-Driven Study. 11th International Conference on Applied Human Factors and Ergonomics – July 2020
Katharine E Daniel, Alexander R Daros, Miranda L Beltzer, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. How Anxious are You Right Now? Using Ecological Momentary Assessment to Evaluate the Effects of Cognitive Bias Modification for Social Threat Interpretations. Cognitive Therapy & Research – Vol. 44, No. 3, June 2020
Anna N Baglione, Jiaqi Gong, Mehdi Boukhechba, Kristen J Wells, Laura E Barnes. Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. IEEE Pervasive Computing – Vol. 19, No. 3, June 2020
Alexander R Daros, Katharine E Daniel, Mehdi Boukhechba, Philip I Chow, Laura E Barnes, Bethany A Teachman. Relationships between trait emotion dysregulation and emotional experiences in daily life: an experience sampling study. Cognition and Emotion – Vol. 34, No. 4, May 2020
Sonia Baee, Mark Rucker, Anna Baglione, Mawulolo K Ameko, Laura Barnes. A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches. Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare – May 2020
Jeffrey J. Glenn, Alicia Nobles, Laura E. Barnes, Bethany Teachman. Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally-Sensitive Markers of Suicide Risk. Clinical Psychological Science – May 2020
Erin K Barrett, Cameron M Fard, Hannah N Katinas, Charles V Moens, Lauren E Perry, Blake E Ruddy, Shalin D Shah, Ian S Tucker, Tucker J Wilson, Mark Rucker, Lihua Cai, Laura E Barnes, Mehdi Boukhechba. Mobile Sensing: Leveraging Machine Learning for Efficient Human Behavior Modeling. 2020 Systems and Information Engineering Design Symposium (SIEDS) – April 2020
Camryn Burley, Darby Anderson, Amanda Brownlee, Georgie Lafer, Taylor Luong, Meaghan McGowan, Judy Nguyen, William Trotter, Halle Wine, Anna Baglione, Laura E Barnes. Increasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions. 2020 Systems and Information Engineering Design Symposium (SIEDS) – April 2020
Bailey Biber, Max Dodge, Melanie Gonzalez, Raymond Huang, Olivia Johnson, Zach Martin, Amanda Sieger, Vy Lan Tran, Sophia Xiao, Laura E Barnes. Investigating the Efficacy of Virtual Experiences on Stress Reduction. 2020 Systems and Information Engineering Design Symposium (SIEDS) – April 2020
Lihua Cai, Mehdi Boukhechba, Matthew S Gerber, Laura E Barnes, Shayna L Showalter, Wendy F Cohn, Philip I Chow. An integrated framework for using mobile sensing to understand response to mobile interventions among breast cancer patients. Smart Health – Vol. 15, March 2020
Nicholas J Napoli, Matthew Demas, Chad L Stephens, Kellie D Kennedy, Angela R Harrivel, Laura E Barnes, Alan T Pope. Activation complexity: A cognitive impairment tool for characterizing neuro-isolation. Scientific reports – Vol. 10, No. 1, March 2020
Janna R Gordon, Lauren A Dial, Sarah D Mills, Julia H Drizin, Laura E Barnes, Vanessa L Malcarne, Elizabeth Klonoff, Allison Vaughn, Kristen J Wells. Celebrity disclosure prompts public discourse regarding appearance changes related to breast cancer care: a content analysis of Internet comments. Journal of Communication in Healthcare – Vol. 13, No.1, January 2020
Daniel J Cox, Justin M Owens, Laura Barnes, Matt Moncrief, Mehdi Boukhechba, Simone Buckman, Tom Banton, Brian Wotring. 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 – January 2020
2019
Mehdi Boukhechba, Lihua Cai, Congyu Wu, Laura E Barnes. ActiPPG: using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors. Smart Health – December 2019
Katharine E Daniel, Sonia Baee, Mehdi Boukhechba, Laura E Barnes, Bethany A Teachman. Do I really feel better? Effectiveness of emotion regulation strategies depends on the measure and social anxiety. Depression and anxiety – Vol. 36, No. 12, December 2019
Jenna M Thuman, Heather McMahon, Philip Chow, Matthew Gerber, Kasandra Dassoulas, Laura Barnes, Chris A Campbell. The performance of patient-worn actigraphy devices to measure recovery after breast reconstruction. Plastic and Reconstructive Surgery Global Open – Vol. 7, No. 10, November 2019
Sharon H Baik, Elizabeth Klonoff, Laura E Barnes, Melody K Schiaffino, Kristen J Wells. Mapping the online social network of cancer bloggers. Journal of health psychology – November 2019
Jiaqi Gong, Yu Huang, Philip I. Chow, Karl Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes. Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. Information Fusion – Vol. 49, September 2019
Lihua Cai, Mehdi Boukhechba, Navreet Kaur, Congyu Wu, Laura E Barnes, Matthew S Gerber. Adaptive passive mobile sensing using reinforcement learning. 2019 IEEE 20th International Symposium on” A World of Wireless, Mobile and Multimedia Networks”(WoWMoM) – June 2019
Jenny Roe, Laura E. Barnes, Nicholas J. Napoli, and Jarrett Thibodeaux. The restorative health benefits of a tactical urban intervention: an urban waterfront study. Frontiers in Built Environment – Vol. 5, June 2019
Alexander R. Daros, Katharine E. Daniel, M. Joseph Meyer, Philip I. Chow, Laura E. Barnes, Bethany A. Teachman. Impact of social anxiety and social context on college students’ emotion regulation strategy use: An experience sampling study. Motivation and Emotion – May 2019
Rohan M. Karanth, Matthew S. Guyer, Natalie L. Twilley, Mary Boyd Crosier, S. Chapman Monroe, Alex J. McQuain, T. Kha Lynn, Mehdi Boukhechba, Matthew S. Gerber, Laura E. Barnes. Modeling User Context from Smartphone Data for Recognition of Health Status. 2019 Systems and Information Engineering Design Symposium (SIEDS) – April 2019
Joana de Paiva Azevedo, Hannah Delaney, McKenna Epperson, Cassia Jbeili, Samantha Jensen, Chase McGrail, Haley Weaver, Anna Baglione, Laura E. Barnes. Gamification of eHealth Interventions to Increase User Engagement and Reduce Attrition. 2019 Systems and Information Engineering Design Symposium (SIEDS) – April 2019
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald Brown. Text classification algorithms: A survey. Information – Vol. 10, No. 4, April 2019
Philip H. Schroeder, Nicholas J. Napoli, William F. Barnhardt, Laura E. Barnes, Jeffrey S. Young. Relative Mortality Analysis Of The “Golden Hour”: A Comprehensive Acuity Stratification Approach To Address Disagreement In Current Literature. Prehospital Emergency Care – March 2019
Sanjana Mendu, Mehdi Boukhechba, Anna Baglione, Sonia Baee, Congyu Wu, Laura E. Barnes. SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. 2019 IEEE 13th International Conference on Semantic Computing (ICSC) – January 2019
Laura E. Barnes. Monitoring mental health of college students using smartphones. Universidad de Lima – 2019
2018
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown. Analysis of railway accidents’ narratives using deep learning. 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) – December 2018
Napoli, Nicholas J., 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. Computers in biology and medicine – December 2018
Congyu Wu, Mehdi Boukhechba, Lihua Cai, Laura E. Barnes, Matthew S. Gerber. Improving momentary stress measurement and prediction with bluetooth encounter networks. Smart Health – December 2018
Mehdi Boukhechba, Alexander R. Daros, Karl Fua, Philip I. Chow, Bethany A. Teachman, Laura E. Barnes. DemonicSalmon: Monitoring Mental Health and Social Interactions of College Students Using Smartphones. Smart Health – December 2018
Emily C. Geyer, Karl C. Fua, Katharine E. Daniel, Philip I. Chow, Wes Bonelli, Yu Huang, Laura E. Barnes, Bethany A. Teachman. 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 – November 2018
M Grabowski, Jennifer M. Lobo, B. Gunnell, K. Enfield, R. Carpenter, L Barnes, AJ Mathers. Characterizations of handwashing sink activities in a single hospital medical intensive care unit. Journal of Hospital Infection – November 2018
Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes. Patient2vec: A personalized interpretable deep representation of the longitudinal electronic health record. IEEE Access 6 – October 2018
Congyu Wu, Lihua Cai, Matthew S. Gerber, Mehdi Boukhechba, Laura E. Barnes. Vector Space Representation of Bluetooth Encounters for Mental Health Inference. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers – October 2018
Alicia L. Nobles, Caitlin N. Dreisbach, Jessica Keim-Malpass, Laura E. Barnes. “Is This an STD? Please Help!”: Online Information Seeking for Sexually Transmitted Diseases on Reddit. Twelfth International AAAI Conference on Web and Social Media – June 2018
Mehdi Boukhechba, Philip Chow, Karl Fua, Bethany A. Teachman, Laura E. Barnes. Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study. JMIR mental health – Vol. 5, No. 3, July 2018
Roman Z. Wang, Catherine H. Sun, Philip H. Schroeder, Mawulolo K. Ameko, Christopher C. Moore, Laura E. Barnes. Predictive Models of Sepsis in Adult ICU Patients. 2018 IEEE International Conference on Healthcare Informatics (ICHI) – June 2018
Sanjana Mendu, Mehdi Boukhechba, Janna R. Gordon, Debajyoti Datta, Edwin Molina, Gloria Arroyo, Sara K. Proctor, Kristen J. Wells, Laura E. Barnes. Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare– May 2018
Mehdi Boukhechba, Lihua Cai, Philip I. Chow, Karl Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes. Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. Proceedings of the 2018 ACM PervasiveHealth – May 2018
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes. An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL). Proceedings of the 2nd International Conference on Information System and Data Mining – April 2018
Lauren Schmeider, Alden Kessenich, Brett Libowitz, Dylan Hazlett, Akshat Pendharkar, Brooke Dickie, Laura E. Barnes, Matthew S. Gerber. Actigraphy-based modeling of patient recovery following breast reconstruction surgery. Systems and Information Engineering Design Symposium (SIEDS), 2018 – April 2018
Ryley Stevens, Kristin Polk, Colette Merrill, Fan Feng, Maxwell Weiss, Elise Brosnan, Matthew S. Gerber, Laura E. Barnes. User experience design to enhance the effectiveness of mobile technologies for the treatment of mental health. Systems and Information Engineering Design Symposium (SIEDS), 2018 – April 2018
Alicia L. Nobles, Jeffrey J. Glenn, Kamran Kowsari, Bethany A. Teachman, Laura E. Barnes. Identification of Imminent Suicide Risk Among Young Adults using Text Messages. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems – April 2018
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes. RMDL: Random Multimodel Deep Learning for Classification. Proceedings of the 2nd International Conference on Information System and Data Mining – April 2018
James C. Turner, Adrienne Keller, Hao Wu, Matthew Zimmerman, Jinghe Zhang, Laura E. Barnes. Utilization of primary care among college students with mental health disorders. Health Psychology – Vol. 37, No. 4, April 2018
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes. Physiological changes over the course of cognitive bias modification for social anxiety. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)– March 2018
Mehdi Boukhechba, Sonia Baee, Alicia L. Nobles, Jiaqi Gong, Kristen Wells, Laura E. Barnes. A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)– March 2018
Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes. Cluster-based approach to improve affect recognition from passively sensed data. 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)– March 2018
Eric J. Charles, Nicholas J. Napoli, Lily E. Johnston, Carrie A. Foster, Deirdre A. Goode, Trevor B. Parker, Eleanor A. Sharp, Laura E. Barnes, Jeffrey S. Young. Outcomes after falls continue to worsen despite trauma and geriatric care advancements. The American Surgeon– Vol. 84, No. 3, March 2018
2017
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes. Hdltex: Hierarchical deep learning for text classification. 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) – December 2017
Mehdi Boukhechba, Yu Huang, Philip Chow, Karl Fua, Bethany A. Teachman, Laura E. Barnes. Monitoring social anxiety from mobility and communication patterns. Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers– September 2017
Mohamad Alipour, Devin K. Harris, Laura E. Barnes, Osman E. Ozbulut, Julia Carroll. Load-capacity rating of bridge populations through machine learning: Application of decision trees and random forests. Journal of Bridge Engineering – Vol. 22, No. 10, August 2017
Jinghe Zhang, Jiaqi Gong, Laura E. Barnes. HCNN: heterogeneous convolutional neural networks for comorbid risk prediction with electronic health records. Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies – July 2017
Nicholas J. Napoli, William Barnhardt, Madeline E. Kotoriy, Jeffrey S. Young, Laura E. Barnes. Relative mortality analysis: A new tool to evaluate clinical performance in trauma centers. IISE Transactions on Healthcare Systems Engineering – Vol. 7, No. 3, July 2017
Christopher C. Moore, Riley Hazard, Kacie J. Saulters, John Ainsworth, Susan A. Adakun, Abdallah Amir, Ben Andrews, Mary Auma, Tim Baker, Patrick Banura, John A. Crump, Martin P. Grobusch, Michaëla AM Huson, Shevin T. Jacob, Olamide D. Jarrett, John Kellett, Shabir Lakhi, Albert Majwala, Martin Opio, Matthew P. Rubach, Jamie Rylance, W Michael Scheld, John Schieffelin, Richard Ssekitoleko, Laura E. Barnes. 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 – Vol. 2, No. 2, July 2017
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl Fua, Matthew S. Gerber, Bethany Teachman, Laura E. Barnes. Discovery of behavioral markers of social anxiety from smartphone sensor data. Proceedings of the 1st Workshop on Digital Biomarkers – June 2017
Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen, Laura E. Barnes. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. IEEE Communications Magazine – Vol. 55, No. 6, June 2017
J Vince Pulido, MaryAnne Fields, Laura E. Barnes. On-the-fly Learning and Monitoring of Partially Observed Navigation Plan. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems – May 2017
Bobby Alexander, Kaan Karakas, Colleen Kohout, Hakan Sakarya, Nipun Singh, Justin Stachtiaris, Laura E. Barnes, Matthew S. Gerber. A behavioral sensing system that promotes positive lifestyle changes and improves metabolic control among adults with type 2 diabetes. 2017 Systems and Information Engineering Design Symposium (SIEDS) – April 2017
Brendan Abraham, Daniel Duong, Morgan George, Margaret Greene, Jack Kepley, Kaleigh Rosenburg, Matthew S. Gerber, Laura E. Barnes. Using patient-generated health data to facilitate preoperative decision making for breast cancer patients. 2017 Systems and Information Engineering Design Symposium (SIEDS) – April 2017
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 Transactions on Intelligent Systems and Technology (TIST) – Vol. 8, No. 3, April 2017
Philip I. Chow, Karl Fua, Yu Huang, Wesley Bonelli, Haoyi Xiong, Laura E. Barnes, Bethany A. Teachman. Using mobile sensing to test clinical models of depression, social anxiety, state affect, and social isolation among college students. Journal of medical Internet research – Vol. 19, No. 3, March 2017
Jiang Bian, Laura E. Barnes, Guanling Chen, Haoyi Xiong. Early detection of diseases using electronic health records data and covariance-regularized linear discriminant analysis. 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) – February 2017
Nicholas J. Napoli, Madeline E. Kotoriy, William Barnhardt, Jeffrey S. Young, Laura E. Barnes. Addressing bias from non-random missing attributes in health data. 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) – February 2017
Julia Lensing, K 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 Annual Symposium Proceedings – Vol. 2017, February 2017
Elizabeth Gulleen, Mawulolo Ameko, John Ainsworth, Prabhat Rayapati, Laura E. Barnes, Christopher Moore. Predictive Models of Fever and Adverse Outcomes in Hospitalized Patients with Neutropenia. Open forum infectious diseases – Vol. 4, 2017
Chad Stephens, Kellie Kennedy, Nicholas Napoli, Matthew Demas, Laura E. Barnes, Brenda Crook, Ralph Williams, Mary Carolyn Last, Paul Schutte. Effects on Task Performance and Psychophysiological Measures of Performance During Normobaric Hypoxia Exposure. 19th International Symposium on Aviation Psychology – 2017
Devin K. Harris, Mohamad Alipour, Scott T. Acton, Lisa R. Messeri, Andrea Vaccari, Laura E. Barnes. The citizen engineer: urban infrastructure monitoring via crowd-sourced data analytics. Structures Congress 2017 – 2017
Mohamad Alipour, Devin K. Harris, Laura E. Barnes. Pattern recognition in the national bridge inventory for automated screening and the assessment of infrastructure. Structures Congress 2017 – 2017
2016
Christopher Moore, John Ainsworth, Yuanbo Wang, Laura E. Barnes. 1389: OPTIMIZED PREDICTIVE MONITORING OF NON-INTENSIVE CARE UNIT PATIENTS AT RISK FOR SEPSIS. Critical Care Medicine – Vol. 44, No. 12, December 2016
Elizabeth Gulleen, Yuanbo Wang, John Ainsworth, Laura Barnes, Christopher Moore. 1358: PREDICTIVE MODELS OF FEVER AND MORTALITY IN HOSPITALIZED PATIENTS WITH NEUTROPENIA. Critical Care Medicine – Vol. 44, No. 12, December 2016
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Laura E. Barnes, Scott T. Acton. Graph-based classification of healthcare provider activity. 2016 50th Asilomar Conference on Signals, Systems and Computers – November 2016
Debajyoti Datta, Valentina Brashers, John Owen, Casey White, Laura E. Barnes. A Deep Learning Methodology for Semantic Utterance Classification in Virtual Human Dialogue Systems. International Conference on Intelligent Virtual Agents – September 2016
Philip Chow, Wesley Bonelli, Yu Huang, Karl Fua, Bethany A. Teachman, Laura E. Barnes. DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct – September 2016
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl Fua, Bethany A. Teachman, Laura E. Barnes. Assessing social anxiety using gps trajectories and point-of-interest data. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing – September 2016
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber. Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing – September 2016
Yu Huang, Aatmesh Shrivastava, Laura E. Barnes, Benton Calhoun. A design and theoretical analysis of a 145 mv to 1.2 v single-ended level converter circuit for ultra-low power low voltage ics. Journal of Low Power Electronics and Applications – Vol. 6, No. 3, September 2016
Alexis V. Chaet, Bijan Morshedi, Kristen J. Wells, Laura E. Barnes, Rupa Valdez. Spanish-language consumer health information technology interventions: a systematic review. Journal of medical Internet research – Vol. 18, No. 8, August 2016
Odette M. Kassar, Erik A. Eklund, William F. Barnhardt, Nicholas J. Napoli, Laura E. Barnes, Jeffrey S. Young. Trauma survival margin analysis: A dissection of trauma center performance through initial lactate. The American Surgeon – Vol. 82, No. 7, July 2016
Tien Bui, Marisa Grayson, Katie Hofer, Kyle McGuire, Michael Morrow, Noah Rodammer, Amani Farooque, Laura E. Barnes, Stephen Patek. Remote patient monitoring for improving outpatient care of patients at risk for sepsis. 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS) – April 2016
Shannon Mitchell, Katherine Schinkel, Yifeng Song, Yuanbo Wang, John Ainsworth, Travis Halbert, Stephen Strong, Jinghe Zhang, Christopher C. Moore, Laura E. Barnes. Optimization of sepsis risk assessment for ward patients. 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS) – April 2016
Michael Buhl, James Famulare, Christopher Glazier, Jennifer Harris, Alan McDowell, Gregory Waldrip, Laura E. Barnes, Matthew S. Gerber. Optimizing multi-channel health information delivery for behavioral change. 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS) – April 2016
Ian Clark, Antoine Rigaut, Amy Mathers, Donald Brown, Laura E. Barnes. Survival analysis of carbapenemase-producing enterobacteriaceae infections in hospital patients. 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS) – April 2016
Nicholas J. Napoli, Laura E. Barnes. A Dempster-Shafer Approach for Corrupted Electrocardiograms Signals. The Twenty-Ninth International Flairs Conference – March 2016
Nicholas Napoli, Kevin Leach, Laura Barnes, Westley Weimer. A MapReduce framework to improve template matching uncertainty. 2016 International Conference on Big Data and Smart Computing (BigComp) – January 2016
Philip Chow, Haoyi Xiong, Karl Fua, Wes Bonelli, Bethany A. Teachman, Laura E. Barnes. Sad: Social anxiety and depression monitoring system for college students. – 2016
Mohamad Alipour, Amir Gheitasi, Devin K. Harris, Osman E. Ozbulut, Laura E. Barnes. A data-driven approach for automated operational safety evaluation of the national inventory of reinforced concrete slab bridges. Transportation Research Board 95th Annual Meeting – 2016
2015
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 and decision making – Vol. 15, No. 1, December 2015
Alicia L. Nobles, Ketki Vilankar, Hao Wu, Laura E. Barnes. Evaluation of data quality of multisite electronic health record data for secondary analysis. 2015 IEEE International Conference on Big Data (Big Data) – October 2015
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. 2015 IEEE International Conference on Big Data (Big Data) – October 2015
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes. iCrowd: Near-optimal task allocation for piggyback crowdsensing. IEEE Transactions on Mobile Computing – Vol. 15, No. 8, September 2015
Nicholas J. Napoli, Laura E. Barnes, Kamal Premaratne. Correlation coefficient based template matching: Accounting for uncertainty in selecting the winner. 2015 18th International Conference on Information Fusion (Fusion) – July 2015
Max Craft, Bev Dobrenz, Erik Dornbush, Molly Hunter, Jordan Morris, Michelle Stone, Laura E. Barnes. An assessment of visualization tools for patient monitoring and medical decision making. 2015 Systems and Information Engineering Design Symposium – April 2015
Jeremy Stern, Sam Hewitt, Michael Guilfoyle, Chetan Mishra, Amy Mathers, Jennifer Lobo, Donald Brown, Laura Barnes. Modeling nosocomial transmission of carbapenem-resistant bacteria. 2015 Systems and Information Engineering Design Symposium – April 2015
Malcolm Charles, Thomas N. Miano, Xinhe Zhang, Laura E. Barnes, Jennifer M. Lobo. Monitoring quality indicators for screening colonoscopies. 2015 Systems and Information Engineering Design Symposium – April 2015
Guillén, Joseph, Jiankun Liu, Margaret Furr, Tianyao Wang, Stephen Strong, Christopher C. Moore, Abigail Flower, Laura E. Barnes. Predictive models for severe sepsis in adult ICU patients. 2015 Systems and Information Engineering Design Symposium – April 2015
Arvind Harinder, Luke Yesbeck, Jonathan Farag, Kevin Mosquera, Nicholas Napoli, William Barnhardt, Jeffrey S. Young, Jose Valdez, Laura E. Barnes. A design framework for evaluating changes in clinical communication systems. 2015 Systems and Information Engineering Design Symposium – April 2015
Sarah D. Mills, Julia H. Drizin, Elizabeth A. Klonoff, Laura E. Barnes, Vanessa L. Malcarne, Allison A. Vaughn, Kristen J. Wells. PUBLIC RESPONSES TO A CELEBRITY’S CANCER-RELATED DISCLOSURE ABOUT GENETIC TESTING. Annals of Behavioral Medicine – Vol. 49, April 2015
Julia H. Drizin, Sarah D. Mills, Laura E. Barnes, Elizabeth A. Klonoff, Vanessa L. Malcarne, Allison A. Vaughn, Kristen J. Wells. COGNITIVE AND BEHAVIORAL CHANGE IN RESPONSE TO A CELEBRITY’S HEALTH DISCLOSURE. Annals of Behavioral Medicine – Vol. 49, April 2015
Kristen J. Wells, Coralia Vàzquez-Otero, Marissa Bredice, Cathy D. Meade, Alexis Chaet, Maria I. Rivera, Gloria Arroyo, Sara K. Proctor, Laura E. Barnes. Acceptability of a Virtual Patient Educator for Hispanic Women. Hispanic health care international: the official journal of the National Association of Hispanic Nurses – Vol. 13, No. 4, 2015
2014
Communication in the Surgical Intensive Care Unit. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care – Vol. 3, No. 1, June 2014
Ying Wu, Devan Samant, Kristen Squibbs, Alexis Chaet, Bijan Morshedi, Laura E. Barnes. Design of interactive cancer education technology for Latina farmworkers. 2014 Systems and Information Engineering Design Symposium (SIEDS) – April 2014
Lan-Vy Ngo, Katherine Walker, Anna Holowinsky, Grace Knox, Robert Shimberg, Nicholas Napoli, Jacob Gillen, Jeffrey Young, Laura E. Barnes. Analysis of communication patterns in critical care environments. 2014 Systems and Information Engineering Design Symposium (SIEDS) – April 2014
Carolyn Pearce, Margaret Guckenberg, Bobby Holden, Andrew Leach, Ryan Hughes, Connie Xie, Meredith Hassett, Andrew Adderley, Laura E. Barnes, Mark Sherriff, Gregory C. Lewin. Designing a spatially aware, automated quadcopter using an Android control system. 2014 Systems and Information Engineering Design Symposium (SIEDS) – April 2014
Laura Barnes, Joy Ruiz, Alexis Chaet, Kristen Wells, Cameron Brown, Gloria Arroyo, Sister Sara Proctor, Bijan Morshedi. Design of Mobile, Virtual Patient Educator for Delivering Cancer Education to Latina Farmworkers. Journal of Women’s Health – Vol. 23, No. 4, April 2014
Richard D. Garcia, Robert Kania, MaryAnne Fields, Laura Barnes. Building entity models through observational learning. The Journal of Defense Modeling and Simulation – Vol. 11, No. 1, January 2014
2013
Michael P. Mackrell, Katherine J. Twilley, William P. Kirk, Luke Q. Lu, James L. Underhill, Laura E. Barnes. Discovering anomalous patterns in network traffic data during crisis events. 2013 IEEE Systems and Information Engineering Design Symposium – April 2013
2012
Richard D. Garcia, Laura Barnes, MaryAnne Fields. Unmanned aircraft systems as wingmen. The Journal of Defense Modeling and Simulation – Vol. 9, No. 1, January 2012
Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic. Towards a classification model to identify hospice candidates in terminally ill patients. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society – 2012
2011
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 and decision making – Vol. 11, No. 1, December 2011
Laura E. Barnes, Maria Rivera, Cathy D. Meade, Sara K. Proctor, Liliana M. Gutierrez, Kristen J. Wells. Abstract A44: Feasibility study for technology-based cancer education for Latina women from an agricultural community. Cancer Epidemiology and Prevention Biomarkers – Vol. 20, September 2011
Eleazar Gil-Herrera, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes, Benjamin Djulbegovic. Rough set theory based prognostication of life expectancy for terminally ill patients. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society – August 2011
Athanasios Tsalatsanis, Laura Barnes, Iztok Hozo, John Skvoretz, Benjamin Djulbegovic. A social network analysis of treatment discoveries in cancer. PloS one – Vol. 6, No. 3, March 2011
Richard D. Garcia, Robert Kania, MaryAnne Fields, Laura Barnes. Building entity models through observational learning. The Journal of Defense Modeling and Simulation – Vol. 11, No. 1, January 2011
Athanasios Tsalatsanis, Eleazar Gil-Herrera, Ali Yalcin, Benjamin Djulbegovic, Laura Barnes. Designing patient-centric applications for chronic disease management. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society – 2011
2010 and earlier
Laura Barnes, Richard Garcia, MaryAnne Fields, Kimon Valavanis, Vedran Kordic. Adaptive swarm formation control for hybrid ground and aerial assets. Cutting Edge Robotics – October 2010
MaryAnne Fields, Ellen Haas, Susan Hill, Christopher Stachowiak, Laura Barnes. Effective robot team control methodologies for battlefield applications. 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems – October 2009
Laura E. Barnes, MaryAnne Fields, Kimon Valavanis. A bar magnet approach to controlling multirobot systems. 2009 17th Mediterranean Conference on Control and Automation – June 2009
Laura E. Barnes, Mary Anne Fields, Kimon P. Valavanis. Swarm formation control utilizing elliptical surfaces and limiting functions. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) – Vol. 39, No. 6, May 2009
Laura E. Barnes, Richard Garcia, MaryAnne Fields, Kimon Valavanis. Adaptable Formations utilizing heterogeneous unmanned systems. Unmanned Systems Technology XI – Vol. 7332, April 2009
Richard Garcia, Laura Barnes, Kimon P. Valavanis. Design of a Hardware and Software Architecture for Unmanned Vehicles: A Modular Approach. Applications of Intelligent Control to Engineering Systems – 2009
Richard Garcia, Laura Barnes. Multi-UAV simulator utilizing X-Plane. Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, USA June 8–10, 2009 – June 2009
Laura Barnes, Richard Garcia, MaryAnne Fields, Kimon Valavanis. Swarm formation control utilizing ground and aerial unmanned systems. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems – September 2008
Laura E. Barnes. A potential field based formation control methodology for robot swarms. – 2008
Laura Barnes, MaryAnne Fields, and Kimon Valavanis. Unmanned ground vehicle swarm formation control using potential fields. 2007 Mediterranean Conference on Control & Automation – June 2007
Laura Barnes, Wendy Alvis, MaryAnne Fields, Kimon Valavanis, Wilfrido Moreno. Swarm formation control with potential fields formed by bivariate normal functions. 2006 14th Mediterranean Conference on Control and Automation – June 2006
Laura Barnes, Wendy Alvis, M. Fields, Kimon Valavanis, Wilfrido Moreno. Heterogeneous swarm formation control using bivariate normal functions to generate potential fields. IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS’06) – June 2006
Laura E. Barnes, Robin R. Murphy, Jeffrey D. Craighead. Human-robot coordination using scripts. Unmanned Systems Technology VIII – Vol. 6230, May 2006
Thomas Fincannon, Laura Elizabeth Barnes, Robin R. Murphy, Dawn L. Riddle. Evidence of the need for social intelligence in rescue robots. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) – Vol. 2, September 2004
Laura E. Barnes, Todd Quasny, Richard Garcia, Larry D. Pyeatt. Multi-agent mapping using dynamic allocation utilizing a centralized storage system. 12th Annual Mediterranean Conference on Control and Automation – June 2004