Afsaneh Doryab

Citado por

	Total	Desde 2020
Citas	2715	1488
Índice h	23	20
Índice i10	30	26

420

210

105

315

2011201220132014201520162017201820192020202120222023202420258 45 67 108 163 178 208 209 200 210 261 281 321 401 11

Acceso público

Ver todo

21 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Anind K. DeyUniversity of WashingtonDirección de correo verificada de uw.edu
Jennifer MankoffUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Sheldon CohenRobert E. Doherty University Emeritus Professor of Psychology, Carnegie MellonDirección de correo verificada de cmu.edu
Michael J. TumminiaUniversity of PittsburghDirección de correo verificada de pitt.edu
Janine M. DutcherResearch Professor, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
David CreswellProfessor, Carnegie Mellon UniversityDirección de correo verificada de cmu.edu
Carissa LowAssociate Professor, University of PittsburghDirección de correo verificada de upmc.edu
Prerna ChikersalMachine Learning Scientist at TripadvisorDirección de correo verificada de tripadvisor.com
Andrew CampbellAlfred Bradley 1915 Third Century Professor, Computer Science, Dartmouth CollegeDirección de correo verificada de dartmouth.edu
Tanzeem ChoudhuryProfessor, Computing and Information Science, Cornell TechDirección de correo verificada de cornell.edu
Hong LuResearch Scientist, Intel LabDirección de correo verificada de intel.com
Nicholas LaneUniversity of Cambridge and Flower LabsDirección de correo verificada de cam.ac.uk
Mu (Kevin) LinAnthropicDirección de correo verificada de anthropic.com
John ZimmermanProfessor, Human-Computer Interaction Institute, Carnegie Mellon UnviersityDirección de correo verificada de cs.cmu.edu
Kasey G. CreswellAssociate Professor of Psychology, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Jason HongCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Jun-Ki MinMicrosoftDirección de correo verificada de cs.cmu.edu
Runze YanEmory UniversityDirección de correo verificada de emory.edu
Xuhai XuColumbia University | GoogleDirección de correo verificada de columbia.edu
Jason WieseUniversity of UtahDirección de correo verificada de cs.utah.edu

Seguir

Afsaneh Doryab

Assistant Professor, University of Virginia

Dirección de correo verificada de virginia.edu - Página principal

Ubiquitous and Mobile Computing Machine Learning and Data Mining Health Informatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	574	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	313	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	229	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
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	138	2019
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	137	2019
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	124	2021
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	121	2011
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	93	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	87	2014
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	70	2021
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	68	2017
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	43	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	42	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	28	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

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores