| DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones M Boukhechba, AR Daros, K Fua, PI Chow, BA Teachman, LE Barnes Smart Health 9, 192-203, 2018 | 124 | 2018 |
| Graph neural networks in IoT: A survey G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai, R Gutierrez, B Campbel, ... ACM Transactions on Sensor Networks 19 (2), 1-50, 2023 | 116 | 2023 |
| The urban built environment, walking and mental health outcomes among older adults: a pilot study J Roe, A Mondschein, C Neale, L Barnes, M Boukhechba, S Lopez Frontiers in public health 8, 575946, 2020 | 112 | 2020 |
| Predicting social anxiety from global positioning system traces of college students: feasibility study M Boukhechba, P Chow, K Fua, BA Teachman, LE Barnes JMIR mental health 5 (3), e10101, 2018 | 106 | 2018 |
| Monitoring social anxiety from mobility and communication patterns M Boukhechba, Y Huang, P Chow, K Fua, BA Teachman, LE Barnes Proceedings of the 2017 ACM international joint conference on pervasive and …, 2017 | 79 | 2017 |
| ActiPPG: Using Deep Neural networks for Activity Recognition from Wrist-Worn Photoplethysmography (PPG) sensors M Boukhechba, L Cai, C Wu, LE Barnes Smart Health, 2019 | 65 | 2019 |
| A novel Bluetooth low energy based system for spatial exploration in smart cities M Boukhechba, A Bouzouane, S Gaboury, C Gouin-Vallerand, S Giroux, ... Expert Systems with Applications 77, 71-82, 2017 | 51 | 2017 |
| From personalized medicine to population health: a survey of mHealth sensing techniques Z Wang, H Xiong, J Zhang, S Yang, M Boukhechba, D Zhang, LE Barnes, ... IEEE Internet of Things Journal 9 (17), 15413-15434, 2022 | 50 | 2022 |
| Predicting subjective measures of social anxiety from sparsely collected mobile sensor data H Rashid, S Mendu, KE Daniel, ML Beltzer, BA Teachman, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 47 | 2020 |
| Emotion malleability beliefs and emotion experience and regulation in the daily lives of people with high trait social anxiety KE Daniel, FR Goodman, ML Beltzer, AR Daros, M Boukhechba, ... Cognitive therapy and research 44, 1186-1198, 2020 | 41 | 2020 |
| Contextual analysis to understand compliance with smartphone-based ecological momentary assessment M Boukhechba, L Cai, PI Chow, K Fua, MS Gerber, BA Teachman, ... Proceedings of the 12th EAI international conference on pervasive computing …, 2018 | 39 | 2018 |
| Human behavior understanding for robotics AA Salah, J Ruiz-del-Solar, C Mericli, PY Oudeyer International workshop on human behavior understanding, 1-16, 2012 | 37* | 2012 |
| HARMONY: A human-centered multimodal driving study in the wild A Tavakoli, S Kumar, X Guo, V Balali, M Boukhechba, A Heydarian IEEE access 9, 23956-23978, 2021 | 35 | 2021 |
| Online recognition of people's activities from raw GPS data: Semantic Trajectory Data Analysis M Boukhechba, A Bouzouane, B Bouchard, C Gouin-Vallerand, S Giroux Proceedings of the 8th ACM International Conference on Pervasive …, 2015 | 35 | 2015 |
| Influenza-like symptom recognition using mobile sensing and graph neural networks G Dong, L Cai, D Datta, S Kumar, LE Barnes, M Boukhechba Proceedings of the conference on health, inference, and learning, 291-300, 2021 | 34 | 2021 |
| Color aesthetics: A transatlantic comparison of psychological and physiological impacts of warm and cool colors in garden landscapes C Neale, A Griffiths, LS Chalmin-Pui, S Mendu, M Boukhechba, J Roe Wellbeing, Space and Society 2, 100038, 2021 | 34 | 2021 |
| Offline contextual multi-armed bandits for mobile health interventions: A case study on emotion regulation MK Ameko, ML Beltzer, L Cai, M Boukhechba, BA Teachman, LE Barnes Proceedings of the 14th ACM Conference on Recommender Systems, 249-258, 2020 | 34 | 2020 |
| Relationships between trait emotion dysregulation and emotional experiences in daily life: An experience sampling study AR Daros, KE Daniel, M Boukhechba, PI Chow, LE Barnes, BA Teachman Cognition and Emotion 34 (4), 743-755, 2020 | 32 | 2020 |
| SWear: Sensing using WEARables. Generalized Human Crowdsensing on Smartwatches M Boukhechba, LE Barnes 11th International Conference on Applied Human Factors and Ergonomics, 2020 | 30 | 2020 |
| Semi-supervised Graph Instance Transformer for Mental Health Inference G Dong, M Tang, L Cai, LE Barnes, M Boukhechba IEEE International Conference on Machine Learning and Applications, 2021 | 29 | 2021 |
Laura E BarnesUniv of VirginiaAdresse e-mail validée de virginia.edu
