Bart Kosko

Publication Activity (10 Years)

Years Active: 1986-2023
Publications (10 Years): 27

Top Topics

Backpropagation Neural Networks

Markov Chain Monte Carlo

Top Venues

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Olaoluwa Adigun, Bart Kosko
Noise-boosted recurrent backpropagation. Neurocomputing 559 (2023)
Olaoluwa Adigun, Bart Kosko
Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. ICMLA (2023)
Olaoluwa Adigun, Bart Kosko
Hidden Priors for Bayesian Bidirectional Backpropagation. SMC (2023)
Akash Kumar Panda, Bart Kosko
Bayesian Rule Ontologies For XAI Classification and Regression. ICMLA (2022)
Olaoluwa Adigun, Bart Kosko
Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. ICMLA (2022)
Bart Kosko
Uniform Convergence of Probability Mixtures that Represent Combined Fuzzy Systems. FUZZ-IEEE (2022)
Olaoluwa Adigun, Bart Kosko
Bidirectional Backpropagation for High-Capacity Blocking Networks. ICMLA (2021)
Akash Kumar Panda, Bart Kosko
Bayesian Pruned Random Rule Foams for XAI. FUZZ-IEEE (2021)
Olaoluwa Adigun, Bart Kosko
Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons. ICMLA (2021)
Bart Kosko
Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems. NAFIPS (2021)
Bart Kosko
Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
Bart Kosko
Erratum to "Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation". IEEE Trans. Syst. Man Cybern. Syst. 51 (4) (2021)
Olaoluwa Adigun, Bart Kosko
Bayesian Bidirectional Backpropagation Learning. IJCNN (2021)
Olaoluwa Adigun, Bart Kosko
Bidirectional Backpropagation. IEEE Trans. Syst. Man Cybern. Syst. 50 (5) (2020)
Bart Kosko, Kartik Audhkhasi, Osonde Osoba
Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks 129 (2020)
Bart Kosko
Convergence of Generalized Probability Mixtures That Describe Adaptive Fuzzy Rule-based Systems. FUZZ-IEEE (2020)
Olaoluwa Adigun, Bart Kosko
High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding. IJCNN (2020)
Akash Kumar Panda, Bart Kosko
Random Fuzzy-Rule Foams for Explainable AI. NAFIPS (2020)
Olaoluwa Adigun, Bart Kosko
Noise-boosted bidirectional backpropagation and adversarial learning. Neural Networks 120 (2019)
Osonde Osoba, Bart Kosko
Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps. CoRR (2019)
Bart Kosko
Additive Fuzzy Systems: From Generalized Mixtures to Rule Continua. Int. J. Intell. Syst. 33 (8) (2018)
Osonde Osoba, Bart Kosko
Noisy Expectation-Maximization: Applications and Generalizations. CoRR (2018)
Olaoluwa Adigun, Bart Kosko
Training Generative Adversarial Networks with Bidirectional Backpropagation. ICMLA (2018)
Olaoluwa Adigun, Bart Kosko
Using noise to speed up video classification with recurrent backpropagation. IJCNN (2017)
Bart Kosko
Generalized mixture representations and combinations for additive fuzzy systems. IJCNN (2017)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noise-enhanced convolutional neural networks. Neural Networks 78 (2016)
Brandon Franzke, Bart Kosko
Using Noise to Speed up Markov Chain Monte Carlo Estimation. INNS Conference on Big Data (2015)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noisy hidden Markov models for speech recognition. IJCNN (2013)
Osonde Osoba, Bart Kosko
Noise-enhanced clustering and competitive learning algorithms. Neural Networks 37 (2013)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noise benefits in backpropagation and deep bidirectional pre-training. IJCNN (2013)
Osonde Osoba, Bart Kosko
Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]. Neural Networks 48 (2013)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Triply fuzzy function approximation for hierarchical Bayesian inference. Fuzzy Optim. Decis. Mak. 11 (3) (2012)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods. IEEE Trans. Syst. Man Cybern. Part B 41 (5) (2011)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Noise benefits in the expectation-maximization algorithm: Nem theorems and models. IJCNN (2011)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Triply fuzzy function approximation for Bayesian inference. IJCNN (2011)
Ashok Patel, Bart Kosko
Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding. IEEE Trans. Signal Process. 59 (2) (2011)
Ashok Patel, Bart Kosko
Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation. IEEE Signal Process. Lett. 17 (12) (2010)
Brandon Franzke, Bart Kosko
Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation. DMIN (2010)
Ashok Patel, Bart Kosko
Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise. ICASSP (2009)
Ashok Patel, Bart Kosko
Error-probability noise benefits in threshold neural signal detection. Neural Networks 22 (5-6) (2009)
Ashok Patel, Bart Kosko
Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection. IEEE Trans. Signal Process. 57 (5) (2009)
Ashok Patel, Bart Kosko
Neural signal-detection noise benefits based on error probability. IJCNN (2009)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Adaptive fuzzy priors for Bayesian inference. IJCNN (2009)
Ashok Patel, Bart Kosko
Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. IEEE Trans. Neural Networks 19 (12) (2008)
Ashok Patel, Bart Kosko
Optimal noise benefits in Neyman-Pearson signal detection. ICASSP (2008)
Ashok Patel, Bart Kosko
Levy Noise Benefits in Neural Signal Detection. ICASSP (3) (2007)
Ashok Patel, Bart Kosko
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons. IJCNN (2006)
Ashok Patel, Bart Kosko
Stochastic resonance in noisy spiking retinal and sensory neuron models. Neural Networks 18 (5-6) (2005)
Ian Lee, Bart Kosko, W. French Anderson
Modeling gunshot bruises in soft body armor with an adaptive fuzzy system. IEEE Trans. Syst. Man Cybern. Part B 35 (6) (2005)
Bart Kosko
Probable equivalence, superpower sets, and superconditionals. Int. J. Intell. Syst. 19 (12) (2004)
Sanya Mitaim, Bart Kosko
Adaptive stochastic resonance in noisy neurons based on mutual information. IEEE Trans. Neural Networks 15 (6) (2004)
Bart Kosko, Sanya Mitaim
Stochastic resonance in noisy threshold neurons. Neural Networks 16 (5-6) (2003)
Bart Kosko
A conditioning interval based on superconditionals and superpower sets. FUZZ-IEEE (2002)
Sanya Mitaim, Bart Kosko
The shape of fuzzy sets in adaptive function approximation. IEEE Trans. Fuzzy Syst. 9 (4) (2001)
Sanya Mitaim, Bart Kosko
Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching. Presence Teleoperators Virtual Environ. 7 (6) (1998)
Sanya Mitaim, Bart Kosko
Neural fuzzy stochastic resonance. SMC (1998)
Bart Kosko
Global stability of generalized additive fuzzy systems. IEEE Trans. Syst. Man Cybern. Part C 28 (3) (1998)
Sanya Mitaim, Bart Kosko
Stochastic Resonance with Adaptive Fuzzy Systems. ICML (1998)
Sanya Mitaim, Bart Kosko
Adaptive stochastic resonance. Proc. IEEE 86 (11) (1998)
Simon Haykin, Bart Kosko
Special Issue On Intelligent Signal Processing. Proc. IEEE 86 (11) (1998)
Sanya Mitaim, Bart Kosko
Neural Fuzzy Agents for Profile Learning and Object Matching. Agents (1997)
Sanya Mitaim, Bart Kosko
Neural fuzzy agents that learn profiles and search databases. ICNN (1997)
Sanya Mitaim, Bart Kosko
Adaptive joint fuzzy sets for function approximation. ICNN (1997)
Sanya Mitaim, Bart Kosko
Neural Fuzzy Agents that Learn a User's Preference Map. ADL (1997)
Hyun Mun Kim, Bart Kosko
Neural fuzzy motion estimation and compensation. IEEE Trans. Signal Process. 45 (10) (1997)
Sanya Mitaim, Bart Kosko
Neural Fuzzy Agents for Database Search. CIA (1997)
Hyun Mun Kim, Bart Kosko
Fuzzy prediction and filtering in impulsive noise. Fuzzy Sets Syst. 77 (1) (1996)
Hyun Mun Kim, Julie A. Dickerson, Bart Kosko
Fuzzy throttle and brake control for platoons of smart cars. Fuzzy Sets Syst. 84 (3) (1996)
Julie A. Dickerson, Bart Kosko
Fuzzy function approximation with ellipsoidal rules. IEEE Trans. Syst. Man Cybern. Part B 26 (4) (1996)
Bart Kosko
Optimal fuzzy rules cover extrema. Int. J. Intell. Syst. 10 (2) (1995)
Peter J. Pacini, Bart Kosko
Adaptive fuzzy frequency hopper. IEEE Trans. Commun. 43 (6) (1995)
Bart Kosko
Fuzzy Systems as Universal Approximators. IEEE Trans. Computers 43 (11) (1994)
Julie A. Dickerson, Bart Kosko
Virtual Worlds as Fuzzy Cognitive Maps. Presence Teleoperators Virtual Environ. 3 (2) (1994)
Bart Kosko
The probability monopoly. IEEE Trans. Fuzzy Syst. 2 (1) (1994)
Bart Kosko
Addition as fuzzy mutual entropy. Inf. Sci. 73 (3) (1993)
Julie A. Dickerson, Bart Kosko
Virtual Worlds as Fuzzy Cognitive Maps. VRAIS (1993)
Julie A. Dickerson, Bart Kosko
Fuzzy function learning with covariance ellipsoids. ICNN (1993)
Seong-Gon Kong, Bart Kosko
Fuzzy subimage classification in image sequence coding. ICASSP (1992)
Seong-Gon Kong, Bart Kosko
Adaptive fuzzy systems for backing up a truck-and-trailer. IEEE Trans. Neural Networks 3 (2) (1992)
Bart Kosko
Stochastic competitive learning. IEEE Trans. Neural Networks 2 (5) (1991)
Seong-Gon Kong, Bart Kosko
Differential competitive learning for centroid estimation and phoneme recognition. IEEE Trans. Neural Networks 2 (1) (1991)
Bart Kosko
Unsupervised learning in noise. IEEE Trans. Neural Networks 1 (1) (1990)
Bart Kosko
Stochastic competitive learning. IJCNN (1990)
Seong-Gon Kong, Bart Kosko
Comparison of fuzzy and neural truck backer-upper control systems. IJCNN (1990)
Bart Kosko
Bidirectional associative memories. IEEE Trans. Syst. Man Cybern. 18 (1) (1988)
Bart Kosko
Feedback stability and unsupervised learning. ICNN (1988)
Bart Kosko
Hidden patterns in combined and adaptive knowledge networks. Int. J. Approx. Reason. 2 (4) (1988)
Bart Kosko
Counting with Fuzzy Sets. IEEE Trans. Pattern Anal. Mach. Intell. 8 (4) (1986)
Bart Kosko
Fuzzy Cognitive Maps. Int. J. Man Mach. Stud. 24 (1) (1986)
Bart Kosko
Fuzzy entropy and conditioning. Inf. Sci. 40 (2) (1986)
Bart Kosko
Fuzzy knowledge combination. Int. J. Intell. Syst. 1 (4) (1986)