| Adaptive stochastic resonance S Mitaim, B Kosko Proceedings of the IEEE 86 (11), 2152-2183, 1998 | 370 | 1998 |
| The shape of fuzzy sets in adaptive function approximation S Mitaim, B Kosko IEEE Transactions on fuzzy systems 9 (4), 637-656, 2001 | 188 | 2001 |
| What is the best shape for a fuzzy set in function approximation? S Mitaim, B Kosko Proceedings of IEEE 5th International Fuzzy Systems 2, 1237-1243, 1996 | 142 | 1996 |
| Stochastic resonance in noisy threshold neurons B Kosko, S Mitaim Neural networks 16 (5-6), 755-761, 2003 | 141 | 2003 |
| Adaptive stochastic resonance in noisy neurons based on mutual information S Mitaim, B Kosko IEEE transactions on neural networks 15 (6), 1526-1540, 2004 | 133 | 2004 |
| Robust stochastic resonance: Signal detection and adaptation in impulsive noise B Kosko, S Mitaim Physical review E 64 (5), 051110, 2001 | 118 | 2001 |
| Robust stochastic resonance for simple threshold neurons B Kosko, S Mitaim Physical Review E 70 (3), 031911, 2004 | 69 | 2004 |
| The noisy expectation–maximization algorithm O Osoba, S Mitaim, B Kosko Fluctuation and Noise Letters 12 (03), 1350012, 2013 | 42 | 2013 |
| Adaptive joint fuzzy sets for function approximation S Mitaim, B Kosko Proceedings of International Conference on Neural Networks (ICNN'97) 1, 537-542, 1997 | 38 | 1997 |
| Bayesian inference with adaptive fuzzy priors and likelihoods O Osoba, S Mitaim, B Kosko IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 34 | 2011 |
| Neural fuzzy agents for profile learning and adaptive object matching S Mitaim, B Kosko Presence 7 (6), 617-637, 1998 | 23 | 1998 |
| Noise benefits in the expectation-maximization algorithm: NEM theorems and models O Osoba, S Mitaim, B Kosko The 2011 International Joint Conference on Neural Networks, 3178-3183, 2011 | 19 | 2011 |
| Effects of weights in weighted fuzzy c-means algorithm for room equalization at multiple locations S Turmchokkasam, S Mitaim 2006 IEEE International Conference on Fuzzy Systems, 1468-1475, 2006 | 19 | 2006 |
| Applications of forbidden interval theorems in stochastic resonance B Kosko, I Lee, S Mitaim, A Patel, MM Wilde Applications of Nonlinear Dynamics: Model and Design of Complex Systems, 71-89, 2009 | 11 | 2009 |
| Neural fuzzy agents that learn a user's preference map S Mitaim, B Kosko Proceedings of ADL'97 Forum on Research and Technology. Advances in Digital …, 1997 | 11 | 1997 |
| Noise enhanced array signal detection in P300 speller paradigm using ICA-based subspace projections R Sampanna, S Mitaim 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 10 | 2013 |
| Adaptive stochastic resonance in color object segmentation S Janpaiboon, S Mitaim The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 10 | 2006 |
| Fuzzy function approximation and intelligent agents S Mitaim, B Kosko Applications of soft computing 3165, 2-13, 1997 | 9 | 1997 |
| Iterative estimation of system parameters using noise-like perturbations B Kosko, O Osoba, S Mitaim US Patent 9,390,065, 2016 | 8 | 2016 |
| Noise-benefit forbidden-interval theorems for threshold signal detectors based on cross correlations S Mitaim, B Kosko Physical Review E 90 (5), 052124, 2014 | 8 | 2014 |
