Sohrab Saeb

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Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBVerified email at upenn.edu
David C. MohrProfessor of Preventive Medicine, Director of the Center for Behavioral Intervention TechnologiesVerified email at northwestern.edu
Stephen SchuellerDepartment of Psychological Science, University of California, IrvineVerified email at uci.edu
Emily LattieLyra HealthVerified email at lyrahealth.com
Mi ZhangAssociate Professor, Director of AIoT and MLSys Lab, The Ohio State UniversityVerified email at osu.edu
Arun Jayaraman PT PhDProfessor, Northwestern University; Shirley Ryan Abilitylab/ Rehabilitation Institute ofVerified email at northwestern.edu
Luca LoniniTempus Labs incVerified email at tempus.com
Cornelius WeberUniversität HamburgVerified email at informatik.uni-hamburg.de
Jochen TrieschFrankfurt Institute for Advanced StudiesVerified email at fias.uni-frankfurt.de
Aydin FarajidavarNew York Institute of TechnologyVerified email at nyit.edu
Sofia TriantafillouUniversity of Crete, University of Pittsburgh, Foundation for Research and Technology - HellasVerified email at uoc.gr
Max A LittleUniversity of BirminghamVerified email at mit.edu
Gaël VaroquauxResearch director, INRIAVerified email at normalesup.org
Shahriar GharibzadehLaboratory for Theoretical Studies, Cognitive Rehabilitation Clinic, Shahid Beheshti UniversityVerified email at sbu.ac.ir
Menachem FromerSVP Data Science StealthCo; Associate Professor of Genetics/Genomics & Psychiatry, Mount SinaiVerified email at mssm.edu
Stefanie NickelsVerilyVerified email at google.com
Sarah PooleStanford UniversityVerified email at stanford.edu
Lance MyersHeartBeamVerified email at heartbeam.com
Maximilien BurqVerily Life SciencesVerified email at google.com
Michael P. BrennerHarvard UniversityVerified email at seas.harvard.edu

Sohrab Saeb

Data Scientist, Verily Life Sciences

Verified email at google.com

Machine Learning Biological Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study S Saeb, M Zhang, CJ Karr, SM Schueller, ME Corden, KP Kording, ... Journal of medical Internet research 17 (7), e4273, 2015	855	2015
The relationship between mobile phone location sensor data and depressive symptom severity S Saeb, EG Lattie, SM Schueller, KP Kording, DC Mohr PeerJ 4, e2537, 2016	319	2016
The need to approximate the use-case in clinical machine learning S Saeb, L Lonini, A Jayaraman, DC Mohr, KP Kording Gigascience 6 (5), gix019, 2017	268	2017
Using and understanding cross-validation strategies. Perspectives on Saeb et al. MA Little, G Varoquaux, S Saeb, L Lonini, A Jayaraman, DC Mohr, ... GigaScience 6 (5), gix020, 2017	167	2017
Relationship between sleep quality and mood: ecological momentary assessment study S Triantafillou, S Saeb, EG Lattie, DC Mohr, KP Kording JMIR mental health 6 (3), e12613, 2019	136	2019
Mobile phone detection of semantic location and its relationship to depression and anxiety S Saeb, EG Lattie, KP Kording, DC Mohr JMIR mHealth and uHealth 5 (8), e7297, 2017	121	2017
The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression S Saeb, M Zhang, MM Kwasny, CJ Karr, K Kording, DC Mohr Pervasive Health, 2015	72	2015
Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles S Saeb, TR Cybulski, SM Schueller, KP Kording, DC Mohr Journal of Medical Internet Research 19 (4), e143, 2017	58	2017
Voodoo machine learning for clinical predictions S Saeb, L Lonini, A Jayaraman, DC Mohr, KP Kording Biorxiv, 059774, 2016	55	2016
Systems and methods for suppression of interferences in magnetoencephalography (meg) and other magnetometer measurements K Anderson, S Saeb US Patent App. 16/850,380, 2020	54	2020
Learning the optimal control of coordinated eye and head movements S Saeb, C Weber, J Triesch PLoS computational biology 7 (11), e1002253, 2011	39	2011
Incorporating synaptic time-dependent plasticity and dynamic synapse into a computational model of wind-up A Farajidavar, S Saeb, K Behbehani Neural networks 21 (2-3), 241-249, 2008	21	2008
A holistic approach for suppression of COVID-19 spread in workplaces and universities SF Poole, J Gronsbell, D Winter, S Nickels, R Levy, B Fu, M Burq, S Saeb, ... PloS one 16 (8), e0254798, 2021	20	2021
The relationship between mobile phone location sensor data and depressive symptom severity. PeerJ, 4, e2537 S Saeb, EG Lattie, SM Schueller, KP Kording, DC Mohr	20	2016
Goal-directed learning of features and forward models S Saeb, C Weber, J Triesch Neural Networks 22 (5-6), 586-592, 2009	16	2009
Making activity recognition robust against deceptive behavior S Saeb, K Körding, DC Mohr PloS one 10 (12), e0144795, 2015	15	2015
A cybernetic view on wind-up A Farajidavar, S Gharibzadeh, F Towhidkhah, S Saeb Medical hypotheses 67 (2), 304-306, 2006	12	2006
Analysis of the dynamical behavior of a feedback auto-associative memory M Amiri, S Saeb, MJ Yazdanpanah, SA Seyyedsalehi Neurocomputing 71 (4-6), 486-494, 2008	11	2008
Modeling the primary auditory cortex using dynamic synapses: Can synaptic plasticity explain the temporal tuning? S Saeb, S Gharibzadeh, F Towhidkhah, A Farajidavar Journal of theoretical biology 248 (1), 1-9, 2007	6	2007
A neural model for the adaptive control of saccadic eye movements S Saeb, C Weber, J Triesch 2009 International Joint Conference on Neural Networks, 2740-2747, 2009	4	2009

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