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2020 – today
- 2024
[i15]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)- [i14]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) - 2023
- [j13]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) - [j12]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) - [j11]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) - [c30]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 - [c29]Mingyue Tang, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, Mehdi Boukhechba:
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. CHIL 2023: 133-146 - [c28]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 - [c27]Mehdi Boukhechba, Elena Reynoso, Ioannis Pandis, Kenneth Mosca, Rumen Hristov, Shichao Yue, Yuqing Ai, Hariharan Rahul, Dina Katabi, Mark Morris, Stefan Avey:
Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants. UbiComp/ISWC Adjunct 2023: 615-619 - [i13]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) - [i12]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) - [i11]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
- [j10]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) - [j9]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) - [c26]Mingyue Tang, Guimin Dong, Jamie Zoellner, Brendan Bowman, Emaad Abel-Rahman, Mehdi Boukhechba:
Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients. IPSN 2022: 298-309 - [c25]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 - [i10]Jiebei Liu, Peter Morris, Krista Nelson, Mehdi Boukhechba:
Using Ballistocardiography for Sleep Stage Classification. CoRR abs/2202.01038 (2022) - [i9]Abdalsalam Almzayyen, Angel Vela de la Garza Evia, Nick Coronato, Mehdi Boukhechba:
Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality. CoRR abs/2202.02186 (2022) - [i8]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) - 2021
- [j8]Arash Tavakoli, Shashwat Kumar, Xiang Guo, Vahid Balali, Mehdi Boukhechba, Arsalan Heydarian:
HARMONY: A Human-Centered Multimodal Driving Study in the Wild. IEEE Access 9: 23956-23978 (2021) - [j7]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. J. Heal. Informatics Res. 5(4): 401-419 (2021) - [c24]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 - [c23]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 - [c22]Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian:
Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. CHI Extended Abstracts 2021: 313:1-313:6 - [c21]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 - [c20]Guimin Dong, Mingyue Tang, Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
Semi-supervised Graph Instance Transformer for Mental Health Inference. ICMLA 2021: 1221-1228 - [c19]Lihua Cai, Laura E. Barnes, Mehdi Boukhechba:
A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. IntelliSys (1) 2021: 31-50 - [c18]Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. IV 2021: 559-565 - [i7]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) - [i6]Arash Tavakoli, Shashwat Kumar, Mehdi Boukhechba, Arsalan Heydarian:
Driver State and Behavior Detection Through Smart Wearables. CoRR abs/2104.13889 (2021) - [i5]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) - 2020
- [j6]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) - [j5]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) - [j4]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) - [c17]Arash Tavakoli, Mehdi Boukhechba, Arsalan Heydarian:
Personalized Driver State Profiles: A Naturalistic Data-Driven Study. AHFE (12) 2020: 32-39 - [c16]Mehdi Boukhechba, Laura E. Barnes:
SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. AHFE (17) 2020: 510-516 - [c15]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 - [c14]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 - [i4]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) - [i3]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
- [c13]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 - [c12]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 - [i2]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
- [j3]Mehdi Boukhechba, Abdenour Bouzouane, Sébastien Gaboury, Charles Gouin-Vallerand, Sylvain Giroux, Bruno Bouchard:
Prediction of next destinations from irregular patterns. J. Ambient Intell. Humaniz. Comput. 9(5): 1345-1357 (2018) - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [i1]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) - 2017
- [j2]Mehdi Boukhechba, Abdenour Bouzouane, Sébastien Gaboury, Charles Gouin-Vallerand, Sylvain Giroux, Bruno Bouchard:
A novel Bluetooth low energy based system for spatial exploration in smart cities. Expert Syst. Appl. 77: 71-82 (2017) - [c5]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 - 2016
- [j1]Mehdi Boukhechba, Abdenour Bouzouane, Bruno Bouchard, Charles Gouin-Vallerand, Sylvain Giroux:
Energy Optimization for Outdoor Activity Recognition. J. Sensors 2016: 6156914:1-6156914:15 (2016) - [c4]Mehdi Boukhechba, Abdenour Bouzouane, Sébastien Gaboury, Charles Gouin-Vallerand, Sylvain Giroux, Bruno Bouchard:
Hybrid Battery-friendly Mobile Solution for Extracting Users' Visited Places. FNC/MobiSPC 2016: 25-32 - [c3]Mehdi Boukhechba, Abdenour Bouzouane, Sébastien Gaboury, Charles Gouin-Vallerand, Sylvain Giroux, Bruno Bouchard:
Battery-Aware Mobile Solution for Online Activity Recognition from Users' Movements. IEEE MS 2016: 33-40 - 2015
- [c2]Mehdi Boukhechba, Abdenour Bouzouane, Bruno Bouchard, Charles Gouin-Vallerand, Sylvain Giroux:
Online Prediction of People's Next Point-of-Interest: Concept Drift Support. HBU 2015: 97-116 - [c1]Mehdi Boukhechba, Abdenour Bouzouane, Bruno Bouchard, Charles Gouin-Vallerand, Sylvain Giroux:
Online recognition of people's activities from raw GPS data: semantic trajectory data analysis. PETRA 2015: 40:1-40:8
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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