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 |
0.483 |
|
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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