Osonde Osoba
Osonde Osoba
RAND Corporation, University of Southern California
Verified email at rand.org - Homepage
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
Rand Corporation, 2017
1552017
Noise-enhanced convolutional neural networks
K Audhkhasi, O Osoba, B Kosko
Neural Networks 78, 15-23, 2016
972016
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
492019
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
462017
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
372013
The risks of artificial intelligence to security and the future of work
OA Osoba, W Welser
RAND, 2017
34*2017
The noisy expectation–maximization algorithm
O Osoba, S Mitaim, B Kosko
Fluctuation and Noise Letters 12 (03), 1350012, 2013
312013
Noise-enhanced clustering and competitive learning algorithms
O Osoba, B Kosko
Neural Networks 37, 132-140, 2013
312013
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
302011
Priority challenges for social and behavioral research and its modeling
PK Davis, A O'Mahony, TR Gulden, OA Osoba, K Sieck
RAND Corporation Santa Monica United States, 2018
252018
The noisy expectation-maximization algorithm for multiplicative noise injection
O Osoba, B Kosko
Fluctuation and Noise Letters 15 (01), 1650007, 2016
232016
Deterrence in the age of thinking machines
YH Wong, JM Yurchak, RW Button, A Frank, B Laird, OA Osoba, R Steeb, ...
RAND Corporation Santa Monica, 2020
212020
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
202013
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
192016
Improving privacy preservation policy in the modern information age
JS Davis, O Osoba
Health and Technology 9 (1), 65-75, 2019
16*2019
Noise benefits in the expectation-maximization algorithm: NEM theorems and models
O Osoba, S Mitaim, B Kosko
The 2011 International Joint Conference on Neural Networks, 3178-3183, 2011
162011
Noise-boosted back propagation and deep learning neural networks
K Audhkhasi, O Osoba, B Kosko
US Patent App. 14/816,999, 2016
112016
Beyond DAGs: modeling causal feedback with fuzzy cognitive maps
O Osoba, B Kosko
arXiv preprint arXiv:1906.11247, 2019
72019
Noise can speed backpropagation learning and deep bidirectional pretraining
B Kosko, K Audhkhasi, O Osoba
Neural Networks 129, 359-384, 2020
62020
Noise benefits in convolutional neural networks
K Audhkhasi, O Osoba, B Kosko
Proceedings of the 2014 International Conference on Advances in Big Data …, 2014
62014
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