| Bewell: A smartphone application to monitor, model and promote wellbeing N Lane, M Mohammod, M Lin, X Yang, H Lu, S Ali, A Doryab, E Berke, ... 5th international ICST conference on pervasive computing technologies for …, 2012 | 572 | 2012 |
| Toss'n'turn: smartphone as sleep and sleep quality detector JK Min, A Doryab, J Wiese, S Amini, J Zimmerman, JI Hong Proceedings of the SIGCHI conference on human factors in computing systems …, 2014 | 312 | 2014 |
| Bewell: Sensing sleep, physical activities and social interactions to promote wellbeing ND Lane, M Lin, M Mohammod, X Yang, H Lu, G Cardone, S Ali, ... Mobile Networks and Applications 19, 345-359, 2014 | 228 | 2014 |
| Supporting disease insight through data analysis: refinements of the monarca self-assessment system M Frost, A Doryab, M Faurholt-Jepsen, LV Kessing, JE Bardram Proceedings of the 2013 ACM international joint conference on Pervasive and …, 2013 | 152 | 2013 |
| Identifying behavioral phenotypes of loneliness and social isolation with passive sensing: statistical analysis, data mining and machine learning of smartphone and fitbit data A Doryab, DK Villalba, P Chikersal, JM Dutcher, M Tumminia, X Liu, ... JMIR mHealth and uHealth 7 (7), e13209, 2019 | 136 | 2019 |
| Leveraging routine behavior and contextually-filtered features for depression detection among college students X Xu, P Chikersal, A Doryab, DK Villalba, JM Dutcher, MJ Tumminia, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 132 | 2019 |
| Phase recognition during surgical procedures using embedded and body-worn sensors JE Bardram, A Doryab, RM Jensen, PM Lange, KLG Nielsen, ST Petersen 2011 IEEE international conference on pervasive computing and communications …, 2011 | 119 | 2011 |
| Detecting depression and predicting its onset using longitudinal symptoms captured by passive sensing: a machine learning approach with robust feature selection P Chikersal, A Doryab, M Tumminia, DK Villalba, JM Dutcher, X Liu, ... ACM Transactions on Computer-Human Interaction (TOCHI) 28 (1), 1-41, 2021 | 117 | 2021 |
| BeWell+ multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization M Lin, ND Lane, M Mohammod, X Yang, H Lu, G Cardone, S Ali, ... Proceedings of the conference on Wireless Health, 1-8, 2012 | 92 | 2012 |
| Detection of behavior change in people with depression A Doryab, JK Min, J Wiese, J Zimmerman, J Hong Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 | 86 | 2014 |
| Estimation of symptom severity during chemotherapy from passively sensed data: exploratory study CA Low, AK Dey, D Ferreira, T Kamarck, W Sun, S Bae, A Doryab Journal of medical Internet research 19 (12), e420, 2017 | 69 | 2017 |
| Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students X Xu, P Chikersal, JM Dutcher, YS Sefidgar, W Seo, MJ Tumminia, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 67 | 2021 |
| Activity analysis: applying activity theory to analyze complex work in hospitals J Bardram, A Doryab Proceedings of the ACM 2011 conference on Computer supported cooperative …, 2011 | 65 | 2011 |
| Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome A Doryab, M Frost, M Faurholt-Jepsen, LV Kessing, JE Bardram Personal and Ubiquitous Computing 19, 355-365, 2015 | 46 | 2015 |
| Predicting depression in adolescents using mobile and wearable sensors: multimodal machine learning–based exploratory study T Mullick, A Radovic, S Shaaban, A Doryab JMIR Formative Research 6 (6), e35807, 2022 | 41 | 2022 |
| Lack of belonging predicts depressive symptomatology in college students JM Dutcher, J Lederman, M Jain, S Price, A Kumar, DK Villalba, ... Psychological science 33 (7), 1048-1067, 2022 | 35 | 2022 |
| HHAR-net: Hierarchical Human Activity Recognition using Neural Networks M Fazli, K Kowsari, E Gharavi, L Barnes, A Doryab Intelligent Human Computer Interaction: 12th International Conference, IHCI …, 2021 | 30 | 2021 |
| Modeling biobehavioral rhythms with passive sensing in the wild: a case study to predict readmission risk after pancreatic surgery A Doryab, AK Dey, G Kao, C Low Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 29 | 2019 |
| Deep reinforcement learning verification: a survey M Landers, A Doryab ACM Computing Surveys 55 (14s), 1-31, 2023 | 26 | 2023 |
| Designing activity-aware recommender systems for operating rooms A Doryab, JE Bardram Proceedings of the 2011 Workshop on Context-awareness in Retrieval and …, 2011 | 26 | 2011 |
Anind K. DeyUniversity of Washington在 uw.edu 的電子郵件地址已通過驗證