Bart Kosko

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Noise-boosted recurrent backpropagation.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

Hidden Priors for Bayesian Bidirectional Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Bayesian Rule Ontologies For XAI Classification and Regression.

[BibT_eX]

[DOI]

Akash Kumar Panda

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Uniform Convergence of Probability Mixtures that Represent Combined Fuzzy Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Erratum to "Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation".

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems.

[BibT_eX]

[DOI]

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

Bayesian Bidirectional Backpropagation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Bidirectional Backpropagation for High-Capacity Blocking Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Bayesian Pruned Random Rule Foams for XAI.

[BibT_eX]

[DOI]

Akash Kumar Panda

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

Bidirectional Backpropagation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Noise can speed backpropagation learning and deep bidirectional pretraining.

[BibT_eX]

[DOI]

Neural Networks, 2020

Random Fuzzy-Rule Foams for Explainable AI.

[BibT_eX]

[DOI]

Akash Kumar Panda

Proceedings of the Fuzzy Information Processing 2020, 2020

High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Convergence of Generalized Probability Mixtures That Describe Adaptive Fuzzy Rule-based Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Noise-boosted bidirectional backpropagation and adversarial learning.

[BibT_eX]

[DOI]

Neural Networks, 2019

Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Additive Fuzzy Systems: From Generalized Mixtures to Rule Continua.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2018

Noisy Expectation-Maximization: Applications and Generalizations.

[BibT_eX]

[DOI]

CoRR, 2018

Training Generative Adversarial Networks with Bidirectional Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Generalized mixture representations and combinations for additive fuzzy systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using noise to speed up video classification with recurrent backpropagation.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Noise-enhanced convolutional neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2016

2015

Additive Fuzzy Systems as Generalized Probability Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

Using Noise to Speed up Markov Chain Monte Carlo Estimation.

[BibT_eX]

[DOI]

Brandon Franzke

Proceedings of the INNS Conference on Big Data 2015, 2015

2013

Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140].

[BibT_eX]

[DOI]

Neural Networks, 2013

Noise-enhanced clustering and competitive learning algorithms.

[BibT_eX]

[DOI]

Neural Networks, 2013

Noisy hidden Markov models for speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Noise benefits in backpropagation and deep bidirectional pre-training.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Triply fuzzy function approximation for hierarchical Bayesian inference.

[BibT_eX]

[DOI]

Fuzzy Optim. Decis. Mak., 2012

2011

Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

Noise benefits in the expectation-maximization algorithm: Nem theorems and models.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Triply fuzzy function approximation for Bayesian inference.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2010

Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation.

[BibT_eX]

Brandon Franzke

Proceedings of The 2010 International Conference on Data Mining, 2010

2009

Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Error-probability noise benefits in threshold neural signal detection.

[BibT_eX]

[DOI]

Neural Networks, 2009

Neural signal-detection noise benefits based on error probability.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Adaptive fuzzy priors for Bayesian inference.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Optimal noise benefits in Neyman-Pearson signal detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Levy Noise Benefits in Neural Signal Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Modeling gunshot bruises in soft body armor with an adaptive fuzzy system.

[BibT_eX]

[DOI]

Ian Lee

W. French Anderson

IEEE Trans. Syst. Man Cybern. Part B, 2005

Stochastic resonance in noisy spiking retinal and sensory neuron models.

[BibT_eX]

[DOI]

Neural Networks, 2005

2004

Adaptive stochastic resonance in noisy neurons based on mutual information.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

Probable equivalence, superpower sets, and superconditionals.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2004

2003

Stochastic resonance in noisy threshold neurons.

[BibT_eX]

[DOI]

Neural Networks, 2003

2002

A conditioning interval based on superconditionals and superpower sets.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

2001

The shape of fuzzy sets in adaptive function approximation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2001

1998

Global stability of generalized additive fuzzy systems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part C, 1998

Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching.

[BibT_eX]

[DOI]

Presence Teleoperators Virtual Environ., 1998

Adaptive stochastic resonance.

[BibT_eX]

[DOI]

Proc. IEEE, 1998

Special Issue On Intelligent Signal Processing.

[BibT_eX]

[DOI]

Simon Haykin

Proc. IEEE, 1998

Neural fuzzy stochastic resonance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Stochastic Resonance with Adaptive Fuzzy Systems.

[BibT_eX]

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997

Neural fuzzy motion estimation and compensation.

[BibT_eX]

[DOI]

Hyun Mun Kim

IEEE Trans. Signal Process., 1997

Adaptive joint fuzzy sets for function approximation.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Neural fuzzy agents that learn profiles and search databases.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Neural Fuzzy Agents for Database Search.

[BibT_eX]

[DOI]

Proceedings of the Cooperative Information Agents, First International Workshop, 1997

Neural Fuzzy Agents for Profile Learning and Object Matching.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Autonomous Agents, 1997

Neural Fuzzy Agents that Learn a User's Preference Map.

[BibT_eX]

[DOI]

Proceedings of the 4th International Forum on Research and Technology Advances in Digital Libraries (ADL '97), 1997

1996

Fuzzy function approximation with ellipsoidal rules.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1996

Fuzzy prediction and filtering in impulsive noise.

[BibT_eX]

[DOI]

Hyun Mun Kim

Fuzzy Sets Syst., 1996

Fuzzy throttle and brake control for platoons of smart cars.

[BibT_eX]

[DOI]

Hyun Mun Kim

Fuzzy Sets Syst., 1996

1995

Adaptive fuzzy frequency hopper.

[BibT_eX]

[DOI]

Peter J. Pacini

IEEE Trans. Commun., 1995

Optimal fuzzy rules cover extrema.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 1995

1994

The probability monopoly.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1994

Fuzzy Systems as Universal Approximators.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 1994

Virtual Worlds as Fuzzy Cognitive Maps.

[BibT_eX]

[DOI]

Presence Teleoperators Virtual Environ., 1994

1993

Addition as fuzzy mutual entropy.

[BibT_eX]

[DOI]

Inf. Sci., 1993

Fuzzy function learning with covariance ellipsoids.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Adaptive fuzzy systems for backing up a truck-and-trailer.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1992

Fuzzy subimage classification in image sequence coding.

[BibT_eX]

[DOI]

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence.

[BibT_eX]

[DOI]

Prentice Hall, ISBN: 0136123341, 1992

1991

Stochastic competitive learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1991

Differential competitive learning for centroid estimation and phoneme recognition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1991

1990

Unsupervised learning in noise.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1990

Comparison of fuzzy and neural truck backer-upper control systems.

[BibT_eX]

[DOI]

Proceedings of the IJCNN 1990, 1990

1988

Bidirectional associative memories.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1988

Hidden patterns in combined and adaptive knowledge networks.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 1988

Feedback stability and unsupervised learning.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

1986

Counting with Fuzzy Sets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1986

Fuzzy entropy and conditioning.

[BibT_eX]

[DOI]

Inf. Sci., 1986

Fuzzy Cognitive Maps.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1986

Fuzzy knowledge combination.

[BibT_eX]

[DOI]