Osonde Osoba - RankMe

14 papers B 5Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S. CoRR Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai
2020	J	`jnl`	Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks Bart Kosko, Kartik Audhkhasi, Osonde Osoba
2019	J	`jnl`	Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps. CoRR Osonde Osoba, Bart Kosko
2018	J	`jnl`	Noisy Expectation-Maximization: Applications and Generalizations. CoRR Osonde Osoba, Bart Kosko
2016	J	`jnl`	Noise-enhanced convolutional neural networks. Neural Networks Kartik Audhkhasi, Osonde Osoba, Bart Kosko
2013	J	`jnl`	Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]. Neural Networks Osonde Osoba, Bart Kosko
2013	B	`conf`	Noise benefits in backpropagation and deep bidirectional pre-training. IJCNN Kartik Audhkhasi, Osonde Osoba, Bart Kosko
2013	J	`jnl`	Noise-enhanced clustering and competitive learning algorithms. Neural Networks Osonde Osoba, Bart Kosko
2013	B	`conf`	Noisy hidden Markov models for speech recognition. IJCNN Kartik Audhkhasi, Osonde Osoba, Bart Kosko
2012	J	`jnl`	Triply fuzzy function approximation for hierarchical Bayesian inference. Fuzzy Optim. Decis. Mak. Osonde Osoba, Sanya Mitaim, Bart Kosko
2011	J	`jnl`	Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods. IEEE Trans. Syst. Man Cybern. Part B Osonde Osoba, Sanya Mitaim, Bart Kosko
2011	B	`conf`	Noise benefits in the expectation-maximization algorithm: Nem theorems and models. IJCNN Osonde Osoba, Sanya Mitaim, Bart Kosko
2011	B	`conf`	Triply fuzzy function approximation for Bayesian inference. IJCNN Osonde Osoba, Sanya Mitaim, Bart Kosko
2009	B	`conf`	Adaptive fuzzy priors for Bayesian inference. IJCNN Osonde Osoba, Sanya Mitaim, Bart Kosko