Multi-valued and universal binary neurons: Theory, learning and applications I Aizenberg, NN Aizenberg, JPL Vandewalle Springer Science & Business Media, 2013 | 381 | 2013 |
Complex-valued neural networks with multi-valued neurons I Aizenberg Springer, 2011 | 287 | 2011 |
Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm I Aizenberg, C Moraga Soft Computing 11, 169-183, 2007 | 259 | 2007 |
CNN based on multi-valued neuron as a model of associative memory for grey scale images NN Aizenberg, IN Aizenberg CNNA'92 Proceedings Second International Workshop on Cellular Neural …, 1992 | 179 | 1992 |
Blur identification by multilayer neural network based on multivalued neurons I Aizenberg, DV Paliy, JM Zurada, JT Astola IEEE Transactions on Neural Networks 19 (5), 883-898, 2008 | 176 | 2008 |
Effective impulse detector based on rank-order criteria I Aizenberg, C Butakoff IEEE Signal Processing Letters 11 (3), 363-366, 2004 | 149 | 2004 |
Multilayer neural network with multi-valued neurons in time series forecasting of oil production I Aizenberg, L Sheremetov, L Villa-Vargas, J Martinez-Muñoz Neurocomputing 175, 980-989, 2016 | 138 | 2016 |
Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions I Aizenberg, C Butakoff, D Paliy IEEE Signal Processing Letters 12 (1), 63-66, 2004 | 101 | 2004 |
Cellular neural networks and computational intelligence in medical image processing I Aizenberg, N Aizenberg, J Hiltner, C Moraga, EM Zu Bexten Image and vision computing 19 (4), 177-183, 2001 | 94 | 2001 |
Frequency domain medianlike filter for periodic and quasi-periodic noise removal IN Aizenberg, C Butakoff Image Processing: Algorithms and Systems 4667, 181-191, 2002 | 86 | 2002 |
A windowed Gaussian notch filter for quasi-periodic noise removal I Aizenberg, C Butakoff Image and Vision Computing 26 (10), 1347-1353, 2008 | 71 | 2008 |
A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition I Aizenberg, A Luchetta, S Manetti Soft Computing 16, 563-575, 2012 | 67 | 2012 |
A feedforward neural network based on multi-valued neurons I Aizenberg, C Moraga, D Paliy Computational Intelligence, Theory and Applications: International …, 2005 | 60 | 2005 |
Processing of noisy and small-detailed gray-scale images using cellular neural networks IN Aizenberg Journal of Electronic Imaging 6 (3), 272-285, 1997 | 52 | 1997 |
Type of blur and blur parameters identification using neural network and its application to image restoration I Aizenberg, T Bregin, C Butakoff, V Karnaukhov, N Merzlyakov, ... Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002 | 50 | 2002 |
Temporal classification of Drosophila segmentation gene expression patterns by the multi-valued neural recognition method I Aizenberg, E Myasnikova, M Samsonova, J Reinitz Mathematical Biosciences 176 (1), 145-159, 2002 | 46 | 2002 |
Blurred image restoration using the type of blur and blur parameter identification on the neural network IN Aizenberg, C Butakoff, VN Karnaukhov, NS Merzlyakov, O Milukova Image Processing: Algorithms and Systems 4667, 460-471, 2002 | 45 | 2002 |
Periodic activation function and a modified learning algorithm for the multivalued neuron I Aizenberg IEEE Transactions on Neural networks 21 (12), 1939-1949, 2010 | 42 | 2010 |
Image recognition on the neural network based on multi-valued neurons I Aizenberg, N Aizenberg, C Butakov, E Farberov Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 39 | 2000 |
Solving the XOR and parity N problems using a single universal binary neuron I Aizenberg Soft Computing 12 (3), 215-222, 2008 | 38 | 2008 |