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Bart Kosko - Publications

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Area:
Electronics and Electrical Engineering, Electricity and Magnetism Physics, Statistics
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Year Citation  Score
2020 Kosko B, Audhkhasi K, Osoba O. Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks : the Official Journal of the International Neural Network Society. 129: 359-384. PMID 32599541 DOI: 10.1016/J.Neunet.2020.04.004  0.805
2020 Adigun O, Kosko B. Bidirectional Backpropagation Ieee Transactions On Systems, Man, and Cybernetics: Systems. 50: 1982-1994. DOI: 10.1109/Tsmc.2019.2916096  0.343
2019 Franzke B, Kosko B. Noise can speed Markov chain Monte Carlo estimation and quantum annealing. Physical Review. E. 100: 053309. PMID 31869933 DOI: 10.1103/Physreve.100.053309  0.495
2019 Adigun O, Kosko B. Noise-boosted bidirectional backpropagation and adversarial learning. Neural Networks : the Official Journal of the International Neural Network Society. PMID 31753425 DOI: 10.1016/J.Neunet.2019.09.016  0.519
2018 Kosko B. Additive Fuzzy Systems: From Generalized Mixtures to Rule Continua International Journal of Intelligent Systems. 33: 1573-1623. DOI: 10.1002/Int.21925  0.345
2017 Osoba OA, Kosko B. Fuzzy cognitive maps of public support for insurgency and terrorism The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 14: 17-32. DOI: 10.1177/1548512916680779  0.692
2016 Osoba O, Kosko B. The Noisy Expectation-Maximization Algorithm for Multiplicative Noise Injection Fluctuation and Noise Letters. 15. DOI: 10.1142/S0219477516500073  0.796
2015 Audhkhasi K, Osoba O, Kosko B. Noise-enhanced convolutional neural networks. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26700535 DOI: 10.1016/J.Neunet.2015.09.014  0.8
2015 Franzke B, Kosko B. Using noise to speed up Markov chain Monte Carlo estimation Procedia Computer Science. 53: 113-120. DOI: 10.1016/J.Procs.2015.07.285  0.5
2014 Mitaim S, Kosko B. Noise-benefit forbidden-interval theorems for threshold signal detectors based on cross correlations. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 052124. PMID 25493756 DOI: 10.1103/Physreve.90.052124  0.563
2013 Osoba O, Kosko B. Noise-enhanced clustering and competitive learning algorithms. Neural Networks : the Official Journal of the International Neural Network Society. 37: 132-40. PMID 23137615 DOI: 10.1016/J.Neunet.2012.09.012  0.767
2013 Osoba O, Mitaim S, Kosko B. The noisy expectation-maximization algorithm Fluctuation and Noise Letters. 12. DOI: 10.1142/S0219477513500120  0.792
2013 Audhkhasi K, Osoba O, Kosko B. Noisy hidden Markov models for speech recognition Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707088  0.79
2013 Audhkhasi K, Osoba O, Kosko B. Noise benefits in backpropagation and deep bidirectional pre-training Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6707022  0.794
2013 Osoba O, Kosko B. Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Netw. 37 (2013) 132-140] Neural Networks. 48: 206. DOI: 10.1016/J.Neunet.2013.05.004  0.767
2012 Osoba O, Mitaim S, Kosko B. Triply fuzzy function approximation for hierarchical Bayesian inference Fuzzy Optimization and Decision Making. 11: 241-268. DOI: 10.1007/S10700-012-9130-0  0.73
2011 Franzke B, Kosko B. Noise can speed convergence in Markov chains. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 84: 041112. PMID 22181092 DOI: 10.1103/Physreve.84.041112  0.56
2011 Osoba O, Mitaim S, Kosko B. Bayesian inference with adaptive fuzzy priors and likelihoods. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 41: 1183-97. PMID 21478078 DOI: 10.1109/TSMCB.2011.2114879  0.727
2011 Patel A, Kosko B. Noise benefits in quantizer-array correlation detection and watermark decoding Ieee Transactions On Signal Processing. 59: 488-505. DOI: 10.1109/Tsp.2010.2091409  0.695
2011 Osoba O, Mitaim S, Kosko B. Noise benefits in the expectation-maximization algorithm: Nem theorems and models Proceedings of the International Joint Conference On Neural Networks. 3178-3183. DOI: 10.1109/IJCNN.2011.6033642  0.796
2011 Osoba O, Mitaim S, Kosko B. Triply fuzzy function approximation for Bayesian inference Proceedings of the International Joint Conference On Neural Networks. 3105-3111. DOI: 10.1109/IJCNN.2011.6033632  0.713
2010 Patel A, Kosko B. Optimal mean-square noise benefits in quantizer-array linear estimation Ieee Signal Processing Letters. 17: 1005-1009. DOI: 10.1109/Lsp.2010.2059376  0.672
2009 Patel A, Kosko B. Error-probability noise benefits in threshold neural signal detection. Neural Networks : the Official Journal of the International Neural Network Society. 22: 697-706. PMID 19628368 DOI: 10.1016/J.Neunet.2009.06.044  0.712
2009 Patel A, Kosko B. Optimal noise benefits in neyman-pearson and inequality-constrained statistical signal detection Ieee Transactions On Signal Processing. 57: 1655-1669. DOI: 10.1109/Tsp.2009.2012893  0.677
2009 Patel A, Kosko B. Neural signal-detection noise benefits based on error probability Proceedings of the International Joint Conference On Neural Networks. 2423-2430. DOI: 10.1109/IJCNN.2009.5179058  0.674
2009 Osoba O, Mitaim S, Kosko B. Adaptive fuzzy priors for Bayesian inference Proceedings of the International Joint Conference On Neural Networks. 2380-2387. DOI: 10.1109/IJCNN.2009.5179054  0.723
2009 Patel A, Kosko B. Quantizer noise benefits in nonlinear signal detection with alpha-stable channel noise Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3269-3272. DOI: 10.1109/ICASSP.2009.4960322  0.66
2009 Wilde MM, Kosko B. Quantum forbidden-interval theorems for stochastic resonance Journal of Physics a: Mathematical and Theoretical. 42. DOI: 10.1088/1751-8113/42/46/465309  0.334
2009 Kosko B, Lee I, Mitaim S, Patel A, Wilde MM. Applications of forbidden interval theorems in stochastic resonance Understanding Complex Systems. 2009: 71-89. DOI: 10.1007/978-3-540-85632-0_7  0.428
2008 Patel A, Kosko B. Stochastic resonance in continuous and spiking neuron models with levy noise. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 1993-2008. PMID 19054725 DOI: 10.1109/Tnn.2008.2005610  0.69
2008 Patel A, Kosko B. Optimal noise benefits in Neyman-Pearson signal detection Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3889-3892. DOI: 10.1109/ICASSP.2008.4518503  0.59
2007 Patel A, Kosko B. Levy noise benefits in neural signal detection Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3. DOI: 10.1109/ICASSP.2007.367111  0.659
2006 Lee I, Liu X, Zhou C, Kosko B. Noise-enhanced detection of subthreshold signals with carbon nanotubes Ieee Transactions On Nanotechnology. 5: 613-627. DOI: 10.1109/Tnano.2006.883476  0.64
2006 Patel A, Kosko B. Mutual-information noise benefits in Brownian models of continuous and spiking neurons Ieee International Conference On Neural Networks - Conference Proceedings. 1368-1375.  0.619
2005 Lee I, Kosko B, Anderson WF. Modeling gunshot bruises in soft body armor with an adaptive fuzzy system. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 35: 1374-90. PMID 16366262 DOI: 10.1109/TSMCB.2005.855585  0.484
2005 Patel A, Kosko B. Stochastic resonance in noisy spiking retinal and sensory neuron models. Neural Networks : the Official Journal of the International Neural Network Society. 18: 467-78. PMID 16099141 DOI: 10.1016/J.Neunet.2005.06.031  0.634
2005 Patel A, Kosko B. Noise benefits in spiking retinal and sensory neuron models Proceedings of the International Joint Conference On Neural Networks. 1: 410-415. DOI: 10.1109/IJCNN.2005.1555866  0.405
2004 Mitaim S, Kosko B. Adaptive stochastic resonance in noisy neurons based on mutual information. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1526-40. PMID 15565779 DOI: 10.1109/Tnn.2004.826218  0.511
2004 Kosko B, Mitaim S. Robust stochastic resonance for simple threshold neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 70: 031911. PMID 15524553 DOI: 10.1103/Physreve.70.031911  0.547
2004 Kosko B. Probable equivalence, superpower sets, and superconditionals International Journal of Intelligent Systems. 19: 1151-1171. DOI: 10.1002/Int.V19:12  0.319
2004 Lee IY, Liu X, Kosko B, Zhou C. Nanotube stochastic resonance: Noise-enhanced detection of subthreshold signals 2004 Nsti Nanotechnology Conference and Trade Show - Nsti Nanotech 2004. 3: 264-267.  0.431
2003 Kosko B, Mitaim S. Stochastic resonance in noisy threshold neurons. Neural Networks : the Official Journal of the International Neural Network Society. 16: 755-61. PMID 12850031 DOI: 10.1016/S0893-6080(03)00128-X  0.455
2003 Lee IY, Liu X, Kosko B, Zhou C. Nanosignal Processing: Stochastic Resonance in Carbon Nanotubes That Detect Subthreshold Signals Nano Letters. 3: 1683-1686. DOI: 10.1021/Nl0348239  0.653
2003 Kosko B, Mitaim S. Almost All Noise Types Can Improve the Mutual Information of Threshold Neurons that Detect Subthreshold Signals Proceedings of the International Joint Conference On Neural Networks. 4: 2740-2745.  0.348
2001 Kosko B, Mitaim S. Robust stochastic resonance: signal detection and adaptation in impulsive noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 64: 051110. PMID 11735903 DOI: 10.1103/Physreve.64.051110  0.548
2001 Mitaim S, Kosko B. The shape of fuzzy sets in adaptive function approximation Ieee Transactions On Fuzzy Systems. 9: 637-656. DOI: 10.1109/91.940974  0.38
2001 Kosko B, Mitaim S. Robust stochastic resonance: Signal detection and adaptation in impulsive noise Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 64.  0.481
1998 Mitaim S, Kosko B. Neural fuzzy agents for profile learning and adaptive object matching Presence: Teleoperators and Virtual Environments. 7: 617-637. DOI: 10.1162/105474698565965  0.364
1998 Kosko B, Burgess JC. Neural networks and fuzzy systems Journal of the Acoustical Society of America. 103: 3131-3131. DOI: 10.1121/1.423096  0.331
1997 Kim HM, Kosko B. Neural fuzzy motion estimation and compensation Ieee Transactions On Signal Processing. 45: 2515-2532. DOI: 10.1109/78.640716  0.319
1996 Dickerson JA, Kosko B. Fuzzy function approximation with ellipsoidal rules Ieee Transactions On Systems, Man, and Cybernetics, Part B: Cybernetics. 26: 542-560. DOI: 10.1109/3477.517030  0.318
1996 Kim HM, Dickerson J, Kosko B. Fuzzy throttle and brake control for platoons of smart cars Fuzzy Sets and Systems. 84: 209-234. DOI: 10.1016/0165-0114(95)00326-6  0.321
1996 Kim HM, Kosko B. Fuzzy prediction and filtering in impulsive noise Fuzzy Sets and Systems. 77: 15-33. DOI: 10.1016/0165-0114(95)00123-9  0.535
1995 Pacini PJ, Kosko B. Adaptive Fuzzy Frequency Hopper Ieee Transactions On Communications. 43: 2111-2117. DOI: 10.1109/26.387452  0.404
1995 Kosko B. Optimal fuzzy rules cover extrema International Journal of Intelligent Systems. 10: 249-255. DOI: 10.1002/Int.4550100206  0.421
1994 Dickerson JA, Kosko B. Virtual Worlds as Fuzzy Cognitive Maps Presence: Teleoperators and Virtual Environments. 3: 173-189. DOI: 10.1162/Pres.1994.3.2.173  0.353
1994 Kosko B. The Probability Monopoly Ieee Transactions On Fuzzy Systems. 2: 32-33. DOI: 10.1109/91.273120  0.363
1994 Kosko B. Fuzzy Systems as Universal Approximators Ieee Transactions On Computers. 43: 1329-1333. DOI: 10.1109/12.324566  0.41
1993 Kosko B. Addition as fuzzy mutual entropy Information Sciences. 73: 273-284. DOI: 10.1016/0020-0255(93)90103-S  0.379
1992 Kong SG, Kosko B. Adaptive Fuzzy Systems for Backing up a Truck-and-Trailer Ieee Transactions On Neural Networks. 3: 211-223. DOI: 10.1109/72.125862  0.385
1992 Pacini PJ, Kosko B. Adaptive fuzzy systems for target tracking Intelligent Systems Engineering. 1: 3-21. DOI: 10.1049/Ise.1992.0002  0.463
1991 Kong SG, Kosko B. Brief Papers Differential Competitive Learning for Centroid Estimation and Phoneme Recognition Ieee Transactions On Neural Networks. 2: 118-124. DOI: 10.1109/72.80297  0.331
1991 Kosko B. Stochastic Competitive Learning Ieee Transactions On Neural Networks. 2: 522-529. DOI: 10.1109/72.134289  0.347
1990 Kosko B. Unsupervised Learning in Noise Ieee Transactions On Neural Networks. 1: 44-57. DOI: 10.1109/72.80204  0.426
1990 Kosko B. Fuzziness vs. probability International Journal of General Systems. 17: 211-240. DOI: 10.1080/03081079008935108  0.366
1988 Kosko B. Hidden patterns in combined and adaptive knowledge networks International Journal of Approximate Reasoning. 2: 377-393. DOI: 10.1016/0888-613X(88)90111-9  0.381
1986 Kosko B. Counting with Fuzzy Sets Ieee Transactions On Pattern Analysis and Machine Intelligence. 8: 556-557. DOI: 10.1109/Tpami.1986.4767822  0.363
1986 Kosko B. Fuzzy cognitive maps International Journal of Man-Machine Studies. 24: 65-75. DOI: 10.1016/S0020-7373(86)80040-2  0.344
1986 Kosko B. Fuzzy entropy and conditioning Information Sciences. 40: 165-174. DOI: 10.1016/0020-0255(86)90006-X  0.377
1986 Kosko B. Fuzzy knowledge combination International Journal of Intelligent Systems. 1: 293-320. DOI: 10.1002/Int.4550010405  0.342
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