Osonde Osoba

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Bart KoskoProfessor of Electrical Engineering, University of Southern CaliforniaVerified email at usc.edu
Kartik AudhkhasiGoogleVerified email at google.com
Angela O'MahonyRAND CorporationVerified email at rand.org
Sanya MitaimThammasat UniversityVerified email at engr.tu.ac.th
Paul K DavisRANDVerified email at rand.org
Jonathan W. WelburnRANDVerified email at rand.org
Justin GranaMicrosoftVerified email at microsoft.com
Lawrence BakerRAND CorporationVerified email at rand.org
Federico GirosiSenior Policy Researcher, RAND CorporationVerified email at rand.org
Aaron StrongRAND CorporationVerified email at rand.org
Aaron B. FrankRANDVerified email at rand.org
Douglas YeungBehavioral/Social Scientist, RAND CorporationVerified email at rand.org
Pedro Nascimento de LimaRAND CorporationVerified email at rand.org
Jonathan LambRAND CorporationVerified email at prgs.edu
Margaret ChamberlinThe Pardee RAND Graduate SchoolVerified email at prgs.edu
Li Ang ZhangAssociate Information Scientist at the RAND CorporationVerified email at rand.org
Carl T. BerdahlAssistant Professor, Departments of Medicine and Emergency Medicine, Cedars-Sinai Medical CenterVerified email at csmc.edu
Jessica SaundersCSG Justice CenterVerified email at csg.org
Rushil ZutshiSchaeffer Center, University of Southern CaliforniaVerified email at usc.edu
Raffaello VardavasMathematician, RAND CorportationVerified email at rand.org

Osonde Osoba

LinkedIn, RAND Corporation, University of Southern California

Verified email at rand.org - Homepage

Machine Learning Statistical Signal-Processing Policy Analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An intelligence in our image: The risks of bias and errors in artificial intelligence OA Osoba, W Welser IV, W Welser Rand Corporation, 2017	440	2017
An open challenge to advance probabilistic forecasting for dengue epidemics MA Johansson, KM Apfeldorf, S Dobson, J Devita, AL Buczak, B Baugher, ... Proceedings of the National Academy of Sciences 116 (48), 24268-24274, 2019	221	2019
Noise-enhanced convolutional neural networks K Audhkhasi, O Osoba, B Kosko Neural Networks 78, 15-23, 2016	189*	2016
The risks of artificial intelligence to security and the future of work OA Osoba, W Welser RAND, 2017	112	2017
Deterrence in th e Age of Thinking Machines YH Wong, JM Yurchak, RW Button, A Frank, B Laird, OA Osoba, R Steeb, ...	75	2020
Fuzzy cognitive maps of public support for insurgency and terrorism OA Osoba, B Kosko The journal of defense modeling and simulation 14 (1), 17-32, 2017	70	2017
Noise benefits in backpropagation and deep bidirectional pre-training K Audhkhasi, O Osoba, B Kosko The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013	51	2013
Noise-enhanced clustering and competitive learning algorithms O Osoba, B Kosko Neural Networks 37, 132-140, 2013	47	2013
Priority challenges for social and behavioral research and its modeling PK Davis, A O'Mahony, TR Gulden, OA Osoba, K Sieck RAND Corporation, 2018	45	2018
The noisy expectation–maximization algorithm O Osoba, S Mitaim, B Kosko Fluctuation and Noise Letters 12 (03), 1350012, 2013	43	2013
Noise can speed backpropagation learning and deep bidirectional pretraining B Kosko, K Audhkhasi, O Osoba Neural Networks 129, 359-384, 2020	37	2020
Improving decision support for infectious disease prevention and control D Manheim, M Chamberlin, OA Osoba, R Vardavas, M Moore Santa Monica, CA: Rand Corporation, 2016	34	2016
Bayesian inference with adaptive fuzzy priors and likelihoods O Osoba, S Mitaim, B Kosko IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011	34	2011
Air dominance through machine learning LA Zhang, J Xu, D Gold, J Hagen, AK Kochhar, AJ Lohn, OA Osoba Santa Monica, CA: RAND Corporation, 2020	32	2020
Strategies to improve the impact of artificial intelligence on health equity: scoping review CT Berdahl, L Baker, S Mann, O Osoba, F Girosi JMIR AI 2, e42936, 2023	27	2023
The noisy expectation-maximization algorithm for multiplicative noise injection O Osoba, B Kosko Fluctuation and Noise Letters 15 (01), 1650007, 2016	27	2016
Noisy hidden Markov models for speech recognition K Audhkhasi, O Osoba, B Kosko The 2013 international joint conference on neural networks (IJCNN), 1-6, 2013	26	2013
Improving privacy preservation policy in the modern information age JS Davis, O Osoba Health and Technology 9, 65-75, 2019	24*	2019
Algorithmic Equity: A Framework for Social Applications B Boudreaux, J Saunders, OA Osoba, JL Irwin, PA Mueller, S Cherney < bound method Organization. get_name_with_acronym of< Organization: RAND …, 2019	20*	2019
Noise-boosted back propagation and deep learning neural networks K Audhkhasi, O Osoba, B Kosko US Patent App. 14/816,999, 2016	20	2016

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