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Bart Kosko
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2020 – today
- 2024
- [c43]Bart Kosko, Olaoluwa Adigun:
Bidirectional Variational Autoencoders. IJCNN 2024: 1-9 - 2023
- [j47]Olaoluwa Adigun, Bart Kosko:
Noise-boosted recurrent backpropagation. Neurocomputing 559: 126438 (2023) - [c42]Olaoluwa Adigun, Bart Kosko:
Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. ICMLA 2023: 730-737 - [c41]Olaoluwa Adigun, Bart Kosko:
Hidden Priors for Bayesian Bidirectional Backpropagation. SMC 2023: 445-451 - 2022
- [c40]Bart Kosko:
Uniform Convergence of Probability Mixtures that Represent Combined Fuzzy Systems. FUZZ-IEEE 2022: 1-8 - [c39]Olaoluwa Adigun, Bart Kosko:
Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons. ICMLA 2022: 69-76 - [c38]Akash Kumar Panda, Bart Kosko:
Bayesian Rule Ontologies For XAI Classification and Regression. ICMLA 2022: 168-175 - 2021
- [j46]Bart Kosko
:
Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 103-115 (2021) - [j45]Bart Kosko
Erratum to "Bidirectional Associative Memories: Unsupervised Hebbian Learning to Bidirectional Backpropagation". IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2635 (2021) - [c37]Akash Kumar Panda, Bart Kosko:
Bayesian Pruned Random Rule Foams for XAI. FUZZ-IEEE 2021: 1-6 - [c36]Olaoluwa Adigun, Bart Kosko:
Bidirectional Backpropagation for High-Capacity Blocking Networks. ICMLA 2021: 704-709 - [c35]Olaoluwa Adigun, Bart Kosko:
Deeper Neural Networks with Non-Vanishing Logistic Hidden Units: NoVa vs. ReLU Neurons. ICMLA 2021: 1407-1412 - [c34]Olaoluwa Adigun, Bart Kosko:
Bayesian Bidirectional Backpropagation Learning. IJCNN 2021: 1-7 - [c33]Bart Kosko:
Uniform Mixture Convergence of Continuously Transformed Fuzzy Systems. NAFIPS 2021: 203-216 - 2020
- [j44]Bart Kosko, Kartik Audhkhasi
Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks 129: 359-384 (2020) - [j43]Olaoluwa Adigun
Bidirectional Backpropagation. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1982-1994 (2020) - [c32]Bart Kosko:
Convergence of Generalized Probability Mixtures That Describe Adaptive Fuzzy Rule-based Systems. FUZZ-IEEE 2020: 1-8 - [c31]Olaoluwa Adigun
High Capacity Neural Block Classifiers with Logistic Neurons and Random Coding. IJCNN 2020: 1-9 - [c30]Akash Kumar Panda, Bart Kosko:
Random Fuzzy-Rule Foams for Explainable AI. NAFIPS 2020: 253-266
2010 – 2019
- 2019
- [j42]Olaoluwa Adigun
Noise-boosted bidirectional backpropagation and adversarial learning. Neural Networks 120: 9-31 (2019) - [i2]Osonde Osoba, Bart Kosko:
Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps. CoRR abs/1906.11247 (2019) - 2018
- [j41]Bart Kosko:
Additive Fuzzy Systems: From Generalized Mixtures to Rule Continua. Int. J. Intell. Syst. 33(8): 1573-1623 (2018) - [c29]Olaoluwa Adigun
Training Generative Adversarial Networks with Bidirectional Backpropagation. ICMLA 2018: 1178-1185 - [i1]Osonde Osoba, Bart Kosko:
Noisy Expectation-Maximization: Applications and Generalizations. CoRR abs/1801.04053 (2018) - 2017
- [c28]Olaoluwa Adigun
Using noise to speed up video classification with recurrent backpropagation. IJCNN 2017: 108-115 - [c27]Bart Kosko:
Generalized mixture representations and combinations for additive fuzzy systems. IJCNN 2017: 3761-3768 - 2016
- [j40]Kartik Audhkhasi, Osonde Osoba, Bart Kosko:
Noise-enhanced convolutional neural networks. Neural Networks 78: 15-23 (2016) - 2015
- [c26]Brandon Franzke, Bart Kosko:
Using Noise to Speed up Markov Chain Monte Carlo Estimation. INNS Conference on Big Data 2015: 113-120 - [p1]Bart Kosko:
Additive Fuzzy Systems as Generalized Probability Mixture Models. Fifty Years of Fuzzy Logic and its Applications 2015: 245-265 - 2013
- [j39]Osonde Osoba, Bart Kosko:
Noise-enhanced clustering and competitive learning algorithms. Neural Networks 37: 132-140 (2013) - [j38]Osonde Osoba, Bart Kosko:
Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]. Neural Networks 48: 206 (2013) - [c25]Kartik Audhkhasi, Osonde Osoba, Bart Kosko:
Noise benefits in backpropagation and deep bidirectional pre-training. IJCNN 2013: 1-8 - [c24]Kartik Audhkhasi, Osonde Osoba, Bart Kosko:
Noisy hidden Markov models for speech recognition. IJCNN 2013: 1-6 - 2012
- [j37]Osonde Osoba, Sanya Mitaim, Bart Kosko:
Triply fuzzy function approximation for hierarchical Bayesian inference. Fuzzy Optim. Decis. Mak. 11(3): 241-268 (2012) - 2011
- [j36]Osonde Osoba, Sanya Mitaim, Bart Kosko:
Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1183-1197 (2011) - [j35]Ashok Patel, Bart Kosko:
Noise Benefits in Quantizer-Array Correlation Detection and Watermark Decoding. IEEE Trans. Signal Process. 59(2): 488-505 (2011) - [c23]Osonde Osoba, Sanya Mitaim, Bart Kosko:
Triply fuzzy function approximation for Bayesian inference. IJCNN 2011: 3105-3111 - [c22]Osonde Osoba, Sanya Mitaim, Bart Kosko:
Noise benefits in the expectation-maximization algorithm: Nem theorems and models. IJCNN 2011: 3178-3183 - 2010
- [j34]Ashok Patel, Bart Kosko:
Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation. IEEE Signal Process. Lett. 17(12): 1005-1009 (2010) - [c21]Brandon Franzke, Bart Kosko:
Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation. DMIN 2010: 403-408
2000 – 2009
- 2009
- [j33]Ashok Patel, Bart Kosko:
Error-probability noise benefits in threshold neural signal detection. Neural Networks 22(5-6): 697-706 (2009) - [j32]Ashok Patel, Bart Kosko:
Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection. IEEE Trans. Signal Process. 57(5): 1655-1669 (2009) - [c20]Ashok Patel, Bart Kosko:
Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise. ICASSP 2009: 3269-3272 - [c19]Osonde Osoba, Sanya Mitaim, Bart Kosko:
Adaptive fuzzy priors for Bayesian inference. IJCNN 2009: 2380-2387 - [c18]Ashok Patel, Bart Kosko:
Neural signal-detection noise benefits based on error probability. IJCNN 2009: 2423-2430 - 2008
- [j31]Ashok Patel, Bart Kosko:
Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. IEEE Trans. Neural Networks 19(12): 1993-2008 (2008) - [c17]Ashok Patel, Bart Kosko:
Optimal noise benefits in Neyman-Pearson signal detection. ICASSP 2008: 3889-3892 - 2007
- [c16]Ashok Patel, Bart Kosko:
Levy Noise Benefits in Neural Signal Detection. ICASSP (3) 2007: 1413-1416 - 2006
- [c15]Ashok Patel, Bart Kosko:
Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons. IJCNN 2006: 1368-1375 - 2005
- [j30]Ashok Patel, Bart Kosko:
Stochastic resonance in noisy spiking retinal and sensory neuron models. Neural Networks 18(5-6): 467-478 (2005) - [j29]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): 1374-1390 (2005) - 2004
- [j28]Bart Kosko:
Probable equivalence, superpower sets, and superconditionals. Int. J. Intell. Syst. 19(12): 1151-1171 (2004) - [j27]Sanya Mitaim, Bart Kosko:
Adaptive stochastic resonance in noisy neurons based on mutual information. IEEE Trans. Neural Networks 15(6): 1526-1540 (2004) - 2003
- [j26]Bart Kosko, Sanya Mitaim:
Stochastic resonance in noisy threshold neurons. Neural Networks 16(5-6): 755-761 (2003) - 2002
- [c14]Bart Kosko:
A conditioning interval based on superconditionals and superpower sets. FUZZ-IEEE 2002: 524-529 - 2001
- [j25]Sanya Mitaim, Bart Kosko:
The shape of fuzzy sets in adaptive function approximation. IEEE Trans. Fuzzy Syst. 9(4): 637-656 (2001)
1990 – 1999
- 1998
- [j24]Simon Haykin, Bart Kosko:
Special Issue On Intelligent Signal Processing. Proc. IEEE 86(11): 2119-2120 (1998) - [j23]Sanya Mitaim, Bart Kosko:
Adaptive stochastic resonance. Proc. IEEE 86(11): 2152-2183 (1998) - [j22]Sanya Mitaim, Bart Kosko:
Neural Fuzzy Agents for Profile Learning and Adaptive Object Matching. Presence Teleoperators Virtual Environ. 7(6): 617-637 (1998) - [j21]Bart Kosko:
Global stability of generalized additive fuzzy systems. IEEE Trans. Syst. Man Cybern. Part C 28(3): 441-452 (1998) - [c13]Sanya Mitaim, Bart Kosko:
Stochastic Resonance with Adaptive Fuzzy Systems. ICML 1998: 377-385 - [c12]Sanya Mitaim, Bart Kosko:
Neural fuzzy stochastic resonance. SMC 1998: 2237-2242 - 1997
- [j20]Hyun Mun Kim, Bart Kosko:
Neural fuzzy motion estimation and compensation. IEEE Trans. Signal Process. 45(10): 2515-2532 (1997) - [c11]Sanya Mitaim, Bart Kosko:
Neural Fuzzy Agents that Learn a User's Preference Map. ADL 1997: 25-35 - [c10]Sanya Mitaim, Bart Kosko:
Neural Fuzzy Agents for Profile Learning and Object Matching. Agents 1997: 544-545 - [c9]Sanya Mitaim, Bart Kosko:
Neural Fuzzy Agents for Database Search. CIA 1997: 159-170 - [c8]Sanya Mitaim, Bart Kosko:
Neural fuzzy agents that learn profiles and search databases. ICNN 1997: 467-472 - [c7]Sanya Mitaim, Bart Kosko:
Adaptive joint fuzzy sets for function approximation. ICNN 1997: 537-542 - 1996
- [j19]Hyun Mun Kim, Bart Kosko:
Fuzzy prediction and filtering in impulsive noise. Fuzzy Sets Syst. 77(1): 15-33 (1996) - [j18]Hyun Mun Kim, Julie A. Dickerson
Fuzzy throttle and brake control for platoons of smart cars. Fuzzy Sets Syst. 84(3): 209-234 (1996) - [j17]Julie A. Dickerson, Bart Kosko:
Fuzzy function approximation with ellipsoidal rules. IEEE Trans. Syst. Man Cybern. Part B 26(4): 542-560 (1996) - 1995
- [j16]Bart Kosko:
Optimal fuzzy rules cover extrema. Int. J. Intell. Syst. 10(2): 249-255 (1995) - [j15]Peter J. Pacini, Bart Kosko:
Adaptive fuzzy frequency hopper. IEEE Trans. Commun. 43(6): 2111-2117 (1995) - 1994
- [j14]Julie A. Dickerson
Virtual Worlds as Fuzzy Cognitive Maps. Presence Teleoperators Virtual Environ. 3(2): 173-189 (1994) - [j13]Bart Kosko:
Fuzzy Systems as Universal Approximators. IEEE Trans. Computers 43(11): 1329-1333 (1994) - [j12]Bart Kosko:
The probability monopoly. IEEE Trans. Fuzzy Syst. 2(1): 32-33 (1994) - 1993
- [j11]Bart Kosko:
Addition as fuzzy mutual entropy. Inf. Sci. 73(3): 273-284 (1993) - [c6]Julie A. Dickerson, Bart Kosko:
Fuzzy function learning with covariance ellipsoids. ICNN 1993: 1162-1167 - [c5]Julie A. Dickerson, Bart Kosko:
Virtual Worlds as Fuzzy Cognitive Maps. VRAIS 1993: 471-477 - 1992
- [b1]Bart Kosko:
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence. Prentice Hall 1992, ISBN 0136123341, pp. I-XXVII, 1-449 - [j10]Seong-Gon Kong, Bart Kosko:
Adaptive fuzzy systems for backing up a truck-and-trailer. IEEE Trans. Neural Networks 3(2): 211-223 (1992) - [c4]Seong-Gon Kong, Bart Kosko:
Fuzzy subimage classification in image sequence coding. ICASSP 1992: 517-520 - 1991
- [j9]Seong-Gon Kong, Bart Kosko:
Differential competitive learning for centroid estimation and phoneme recognition. IEEE Trans. Neural Networks 2(1): 118-124 (1991) - [j8]Bart Kosko:
Stochastic competitive learning. IEEE Trans. Neural Networks 2(5): 522-529 (1991) - 1990
- [j7]Bart Kosko:
Unsupervised learning in noise. IEEE Trans. Neural Networks 1(1): 44-57 (1990) - [c3]Bart Kosko:
Stochastic competitive learning. IJCNN 1990: 215-226 - [c2]Seong-Gon Kong, Bart Kosko:
Comparison of fuzzy and neural truck backer-upper control systems. IJCNN 1990: 349-358
1980 – 1989
- 1988
- [j6]Bart Kosko:
Hidden patterns in combined and adaptive knowledge networks. Int. J. Approx. Reason. 2(4): 377-393 (1988) - [j5]Bart Kosko:
Bidirectional associative memories. IEEE Trans. Syst. Man Cybern. 18(1): 49-60 (1988) - [c1]Bart Kosko:
Feedback stability and unsupervised learning. ICNN 1988: 141-152 - 1986
- [j4]Bart Kosko:
Fuzzy knowledge combination. Int. J. Intell. Syst. 1(4): 293-320 (1986) - [j3]Bart Kosko:
Fuzzy Cognitive Maps. Int. J. Man Mach. Stud. 24(1): 65-75 (1986) - [j2]Bart Kosko:
Fuzzy entropy and conditioning. Inf. Sci. 40(2): 165-174 (1986) - [j1]Bart Kosko:
Counting with Fuzzy Sets. IEEE Trans. Pattern Anal. Mach. Intell. 8(4): 556-557 (1986)
Coauthor Index
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