Online Prediction of People's Next Point-of-Interest: Concept Drift Support. - Mehdi Boukhechba; Abdenour Bouzouane; Bruno Bouchard 001; Charles Gouin-Vallerand; Sylvain Giroux (HBU, 2015)

Online recognition of people's activities from raw GPS data: semantic trajectory data analysis. - Mehdi Boukhechba; Abdenour Bouzouane; Bruno Bouchard 001; Charles Gouin-Vallerand; Sylvain Giroux (PETRA, 2015)

Hybrid Battery-friendly Mobile Solution for Extracting Users' Visited Places. - Mehdi Boukhechba; Abdenour Bouzouane; Sébastien Gaboury; Charles Gouin-Vallerand; Sylvain Giroux; Bruno Bouchard 001 (FNC/MobiSPC, 2016)

Battery-Aware Mobile Solution for Online Activity Recognition from Users' Movements. - Mehdi Boukhechba; Abdenour Bouzouane; Sébastien Gaboury; Charles Gouin-Vallerand; Sylvain Giroux; Bruno Bouchard 001 (IEEE MS, 2016)

Energy Optimization for Outdoor Activity Recognition. - Mehdi Boukhechba; Abdenour Bouzouane; Bruno Bouchard 001; Charles Gouin-Vallerand; Sylvain Giroux (J. Sensors, 2016)

Monitoring social anxiety from mobility and communication patterns. - Mehdi Boukhechba; Yu Huang 015; Philip Chow; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp/ISWC Adjunct, 2017)

A novel Bluetooth low energy based system for spatial exploration in smart cities. - Mehdi Boukhechba; Abdenour Bouzouane; Sébastien Gaboury; Charles Gouin-Vallerand; Sylvain Giroux; Bruno Bouchard 001 (Expert Syst. Appl., 2017)

Cluster-based approach to improve affect recognition from passively sensed data. - Mawulolo K. Ameko; Lihua Cai; Mehdi Boukhechba; Alexander Daros; Philip I. Chow; Bethany A. Teachman; Matthew S. Gerber; Laura E. Barnes (BHI, 2018)

A social cognitive theory-based framework for monitoring medication adherence applied to endocrine therapy in breast cancer survivors. - Mehdi Boukhechba; Sonia Baee; Alicia L. Nobles; Jiaqi Gong; Kristen J. Wells; Laura E. Barnes (BHI, 2018)

Physiological changes over the course of cognitive bias modification for social anxiety. - Mehdi Boukhechba; Jiaqi Gong; Kamran Kowsari; Mawulolo K. Ameko; Karl C. Fua; Philip I. Chow; Yu Huang 015; Bethany A. Teachman; Laura E. Barnes (BHI, 2018)

Vector Space Representation of Bluetooth Encounters for Mental Health Inference. - Congyu Wu; Lihua Cai; Matthew S. Gerber; Mehdi Boukhechba; Laura E. Barnes (UbiComp/ISWC Adjunct, 2018)

Contextual Analysis to Understand Compliance with Smartphone-based Ecological Momentary Assessment. - Mehdi Boukhechba; Lihua Cai; Philip I. Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (PervasiveHealth, 2018)

Design of a Culturally-Informed Virtual Human for Educating Hispanic Women about Cervical Cancer. - Sanjana Mendu; Mehdi Boukhechba; Janna R. Gordon; Debajyoti Datta; Edwin Molina; Gloria Arroyo; Sara K. Proctor; Kristen J. Wells; Laura E. Barnes (PervasiveHealth, 2018)

Prediction of next destinations from irregular patterns. - Mehdi Boukhechba; Abdenour Bouzouane; Sébastien Gaboury; Charles Gouin-Vallerand; Sylvain Giroux; Bruno Bouchard 001 (J. Ambient Intell. Humaniz. Comput., 2018)

SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. - Sanjana Mendu; Mehdi Boukhechba; Anna N. Baglione; Sonia Baee; Congyu Wu; Laura E. Barnes (ICSC, 2019)

Adaptive Passive Mobile Sensing Using Reinforcement Learning. - Lihua Cai; Mehdi Boukhechba; Navreet Kaur 001; Congyu Wu; Laura E. Barnes; Matthew S. Gerber (WOWMOM, 2019)

Enabling Smartphone-based Estimation of Heart Rate. - Nutta Homdee; Mehdi Boukhechba; Yixue Wendy Feng; Natalie Kramer; John C. Lach; Laura E. Barnes (CoRR, 2019)

SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches. - Mehdi Boukhechba; Laura E. Barnes (AHFE (17), 2020)

Personalized Driver State Profiles: A Naturalistic Data-Driven Study. - Arash Tavakoli; Mehdi Boukhechba; Arsalan Heydarian (AHFE (12), 2020)

Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients. - Jinghe Zhang; Kamran Kowsari; Mehdi Boukhechba; James H. Harrison; Jennifer M. Lobo; Laura E. Barnes (BIBM, 2020)

Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. - Mawulolo K. Ameko; Miranda L. Beltzer; Lihua Cai; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (RecSys, 2020)

Predicting Subjective Measures of Social Anxiety from Sparsely Collected Mobile Sensor Data. - Haroon Rashid; Sanjana Mendu; Katharine E. Daniel; Miranda L. Beltzer; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. - Sanjana Mendu; Anna N. Baglione; Sonia Baee; Congyu Wu; Brandon Ng; Adi Shaked; Gerald Clore; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2020)

Leveraging Mobile Sensing to Understand and Develop Intervention Strategies to Improve Medication Adherence. - Anna N. Baglione; Jiaqi Gong; Mehdi Boukhechba; Kristen J. Wells; Laura E. Barnes (IEEE Pervasive Comput., 2020)

Collision Prediction and Prevention in Contact Sports Using RFID Tags and Haptic Feedback. - Moeen Mostafavi; Fateme Nikseresht; Jacob Earl Resch; Laura E. Barnes; Mehdi Boukhechba (AHFE (17), 2021)

Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19. - Guimin Dong; Lihua Cai; Shashwat Kumar; Debajyoti Datta; Laura E. Barnes; Mehdi Boukhechba (CHASE, 2021)

Leveraging Ubiquitous Computing for Empathetic Routing: A Naturalistic Data-driven Approach. - Arash Tavakoli; Mehdi Boukhechba; Arsalan Heydarian (CHI Extended Abstracts, 2021)

Influenza-like symptom recognition using mobile sensing and graph neural networks. - Guimin Dong; Lihua Cai; Debajyoti Datta; Shashwat Kumar; Laura E. Barnes; Mehdi Boukhechba (CHIL, 2021)

Semi-supervised Graph Instance Transformer for Mental Health Inference. - Guimin Dong; Mingyue Tang; Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (ICMLA, 2021)

A Framework for Adaptive Mobile Ecological Momentary Assessments Using Reinforcement Learning. - Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (IntelliSys (1), 2021)

Driver State and Behavior Detection Through Smart Wearables. - Arash Tavakoli; Shashwat Kumar; Mehdi Boukhechba; Arsalan Heydarian (IV, 2021)

HARMONY: A Human-Centered Multimodal Driving Study in the Wild. - Arash Tavakoli; Shashwat Kumar; Xiang Guo; Vahid Balali; Mehdi Boukhechba; Arsalan Heydarian (IEEE Access, 2021)

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Zhiyuan Wang 003; Haoyi Xiong; Jie Zhang 059; Sijia Yang; Mehdi Boukhechba; Laura E. Barnes; Daqing Zhang 001 (CoRR, 2021)

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients. - 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 (J. Heal. Informatics Res., 2021)

Using Ubiquitous Mobile Sensing and Temporal Sensor-Relation Graph Neural Network to Predict Fluid Intake of End Stage Kidney Patients. - Mingyue Tang; Guimin Dong; Jamie Zoellner; Brendan Bowman; Emaad Abel-Rahman; Mehdi Boukhechba (IPSN, 2022)

Shape Analysis for Pediatric Upper Body Motor Function Assessment. - Shashwat Kumar; Robert Gutierez; Debajyoti Datta; Sarah Tolman; Allison McCrady; Silvia Blemker; Rebecca J. Scharf; Mehdi Boukhechba; Laura E. Barnes (ISWC, 2022)

Using Ballistocardiography for Sleep Stage Classification. - Jiebei Liu; Peter Morris; Krista Nelson; Mehdi Boukhechba (CoRR, 2022)

Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality. - Abdalsalam Almzayyen; Angel Vela de la Garza Evia; Nick Coronato; Mehdi Boukhechba (CoRR, 2022)

Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19. - Shashwat Kumar; Debajyoti Datta; Guimin Dong; Lihua Cai; Mehdi Boukhechba; Laura E. Barnes (ACM Trans. Comput. Heal., 2022)

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. - Zhiyuan Wang 003; Haoyi Xiong; Jie Zhang 059; Sijia Yang; Mehdi Boukhechba; Daqing Zhang 001; Laura E. Barnes; Dejing Dou (IEEE Internet Things J., 2022)

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. - Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (BSN, 2023)

øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder. - Mingyue Tang; Jiechao Gao; Guimin Dong; Carl Yang 001; Bradford Campbell; Brendan Bowman; Jamie Marie Zoellner; Emaad Abdel-Rahman; Mehdi Boukhechba (CHIL, 2023)

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. - Zhiyuan Wang 003; Mingyue Tang; Maria A. Larrazabal; Emma R. Toner; Mark Rucker; Congyu Wu; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (EMBC, 2023)

Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants. - Mehdi Boukhechba; Elena Reynoso; Ioannis Pandis; Kenneth Mosca; Rumen Hristov; Shichao Yue; Yuqing Ai; Hariharan Rahul; Dina Katabi; Mark Morris; Stefan Avey (UbiComp/ISWC Adjunct, 2023)

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts. - Emma R. Toner; Mark Rucker; Zhiyuan Wang 003; Maria A. Larrazabal; Lihua Cai; Debajyoti Datta; Elizabeth Thompson; Haroon Lone; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (CoRR, 2023)

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing. - Guimin Dong; Lihua Cai; Mingyue Tang; Laura E. Barnes; Mehdi Boukhechba (CoRR, 2023)

Designing adaptive passive personal mobile sensing methods using reinforcement learning framework. - Lihua Cai; Laura E. Barnes; Mehdi Boukhechba (J. Ambient Intell. Humaniz. Comput., 2023)

Graph Neural Networks in IoT: A Survey. - Guimin Dong; Mingyue Tang; Zhiyuan Wang 003; Jiechao Gao; Sikun Guo; Lihua Cai; Robert J. Gutierrez; Bradford Campbell; Laura E. Barnes; Mehdi Boukhechba (ACM Trans. Sens. Networks, 2023)

Detecting Social Contexts from Mobile Sensing Indicators in Virtual Interactions with Socially Anxious Individuals. - Zhiyuan Wang 003; Maria A. Larrazabal; Mark Rucker; Emma R. Toner; Katharine E. Daniel; Shashwat Kumar; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

AudioInsight: Detecting Social Contexts Relevant to Social Anxiety from Speech. - Varun Reddy; Zhiyuan Wang 003; Emma R. Toner; Maria A. Larrazabal; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (ACII, 2024)

Fatigue Detection with Machine Learning Approaches using Data from Wearable Devices. - Karthik Gopalakrishnan; Zhi Li; Mehdi Boukhechba; Elena Reynoso; Kenneth Mosca; Mark Morris; Stefan Avey (EMBC, 2024)

CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. - Zhiyuan Wang 003; Nusayer Hassan; Virginia LeBaron; Tabor Flickinger; David Ling; James Edwards; Congyu Wu; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2024)

Understanding State Social Anxiety in Virtual Social Interactions Using Multimodal Wearable Sensing Indicators. - Maria A. Larrazabal; Zhiyuan Wang 003; Mark Rucker; Emma R. Toner; Mehdi Boukhechba; Bethany A. Teachman; Laura E. Barnes (SMARTCOMP, 2025)