An intelligence in our image: The risks of bias and errors in artificial intelligence OA Osoba, W Welser IV, W Welser Rand Corporation, 2017 | 375 | 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 | 199 | 2019 |
Noise-enhanced convolutional neural networks K Audhkhasi, O Osoba, B Kosko Neural Networks 78, 15-23, 2016 | 179* | 2016 |
The risks of artificial intelligence to security and the future of work OA Osoba, W Welser RAND, 2017 | 92 | 2017 |
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 | 69 | 2017 |
Deterrence in th e Age of Thinking Machines YH Wong, JM Yurchak, RW Button, A Frank, B Laird, OA Osoba, R Steeb, ... | 65 | 2020 |
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 | 50 | 2013 |
Noise-enhanced clustering and competitive learning algorithms O Osoba, B Kosko Neural Networks 37, 132-140, 2013 | 45 | 2013 |
The noisy expectation–maximization algorithm O Osoba, S Mitaim, B Kosko Fluctuation and Noise Letters 12 (03), 1350012, 2013 | 42 | 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 | 40 | 2018 |
Noise can speed backpropagation learning and deep bidirectional pretraining B Kosko, K Audhkhasi, O Osoba Neural Networks 129, 359-384, 2020 | 34 | 2020 |
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 |
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 | 29 | 2016 |
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 | 25 | 2013 |
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 | 24 | 2020 |
Improving privacy preservation policy in the modern information age JS Davis, O Osoba Health and Technology 9, 65-75, 2019 | 22* | 2019 |
Algorithmic equity: a framework for social applications B Boudreaux, J Saunders, OA Osoba, JL Irwin, PA Mueller, S Cherney RAND Corporation, 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 |
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 | 19 | 2011 |