フォロー
Afsaneh Doryab
Afsaneh Doryab
Assistant Professor, University of Virginia
確認したメール アドレス: virginia.edu - ホームページ
タイトル
引用先
引用先
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
5732012
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
3102014
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
2282014
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
1522013
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
1372019
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
1332019
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
1202011
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
1192021
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
922012
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
862014
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
692021
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
692017
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
652011
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
462015
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
412022
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
382022
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
302021
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
292019
Deep reinforcement learning verification: a survey
M Landers, A Doryab
ACM Computing Surveys 55 (14s), 1-31, 2023
272023
Designing activity-aware recommender systems for operating rooms
A Doryab, JE Bardram
Proceedings of the 2011 Workshop on Context-awareness in Retrieval and …, 2011
262011
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