| 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 | 115 | 2023 |
| ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors M Boukhechba, L Cai, C Wu, LE Barnes Smart Health 14, 100082, 2019 | 65 | 2019 |
| 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 |
| 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 |
| 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 |
| Semi-supervised graph instance transformer for mental health inference G Dong, M Tang, L Cai, LE Barnes, M Boukhechba 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 29 | 2021 |
| State affect recognition using smartphone sensing data L Cai, M Boukhechba, C Wu, PI Chow, BA Teachman, LE Barnes, ... Proceedings of the 2018 IEEE/ACM international conference on connected …, 2018 | 24 | 2018 |
| An Integrated Framework for Using Mobile Sensing to Understand Response to Mobile Interventions among Breast Cancer Patients PIC Lihua Cai, Mehdi Boukhechba, Matthew S Gerber, Laura E Barnes, Shayna L ... IEEE/ACM Conference on Connected Health: Applications, Systems and …, 2019 | 16* | 2019 |
| Cluster-based approach to improve affect recognition from passively sensed data MK Ameko, L Cai, M Boukhechba, A Daros, PI Chow, BA Teachman, ... 2018 IEEE EMBS international conference on biomedical & health informatics …, 2018 | 15 | 2018 |
| Improving momentary stress measurement and prediction with bluetooth encounter networks C Wu, M Boukhechba, L Cai, LE Barnes, MS Gerber Smart Health 9, 219-231, 2018 | 14 | 2018 |
| Adaptive passive mobile sensing using reinforcement learning L Cai, M Boukhechba, N Kaur, C Wu, LE Barnes, MS Gerber 2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and …, 2019 | 12 | 2019 |
| Adaptive mobile behavior change intervention using reinforcement learning L Cai, C Wu, KJ Meimandi, MS Gerber 2017 International Conference on Companion Technology (ICCT), 1-2, 2017 | 9 | 2017 |
| Leveraging mobile sensing and bayesian change point analysis to monitor community-scale behavioral interventions: A case study on covid-19 S Kumar, D Datta, G Dong, L Cai, M Boukhechba, L Barnes ACM Transactions on Computing for Healthcare 3 (4), 1-13, 2022 | 7 | 2022 |
| Detection and analysis of interrupted behaviors by public policy interventions during COVID-19 G Dong, L Cai, S Kumar, D Datta, LE Barnes, M Boukhechba 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and …, 2021 | 6 | 2021 |
| Understanding the relationship between mood symptoms and mobile app engagement among patients with breast cancer using machine learning: case study AN Baglione, L Cai, A Bahrini, I Posey, M Boukhechba, PI Chow JMIR Medical Informatics 10 (6), e30712, 2022 | 5 | 2022 |
| Cognitive bias modification for threat interpretations: using passive Mobile Sensing to detect intervention effects in daily life KE Daniel, S Mendu, A Baglione, L Cai, BA Teachman, LE Barnes, ... Anxiety, Stress, & Coping 35 (3), 298-312, 2022 | 5 | 2022 |
| Wearable sensor-based multimodal physiological responses of socially anxious individuals across social contexts ER Toner, M Rucker, Z Wang, MA Larrazabal, L Cai, D Datta, ... arXiv preprint arXiv:2304.01293, 2023 | 4 | 2023 |
| Mobile sensing: Leveraging machine learning for efficient human behavior modeling EK Barrett, CM Fard, HN Katinas, CV Moens, LE Perry, BE Ruddy, ... 2020 Systems and Information Engineering Design Symposium (SIEDS), 1-7, 2020 | 4 | 2020 |
| Vector space representation of bluetooth encounters for mental health inference C Wu, L Cai, MS Gerber, M Boukhechba, LE Barnes Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 4 | 2018 |
| Deep Learning for Autonomous Vehicles and Systems G Dong, M Tang, R Yan, Z Mu, L Cai, BB Park Autonomous Vehicles and Systems, 9-47, 2023 | 3 | 2023 |
Mehdi BoukhechbaJohnson and Johnson | Janssen R&D確認したメール アドレス: its.jnj.com