Igor Aizenberg
Igor Aizenberg
Professor and Chair of the Department of Computer Science, Manhattan College
Bestätigte E-Mail-Adresse bei manhattan.edu - Startseite
Zitiert von
Zitiert von
Multi-valued and universal binary neurons: Theory, learning and applications
I Aizenberg, NN Aizenberg, JPL Vandewalle
Springer Science & Business Media, 2013
Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm
I Aizenberg, C Moraga
Soft Computing 11 (2), 169-183, 2007
Complex-valued neural networks with multi-valued neurons
I Aizenberg
Springer, 2011
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
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
Effective impulse detector based on rank-order criteria
I Aizenberg, C Butakoff
IEEE Signal Processing Letters 11 (3), 363-366, 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
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
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
Frequency domain medianlike filter for periodic and quasi-periodic noise removal
IN Aizenberg, C Butakoff
Image Processing: Algorithms and Systems 4667, 181-191, 2002
A feedforward neural network based on multi-valued neurons
I Aizenberg, C Moraga, D Paliy
Computational intelligence, theory and applications, 599-612, 2005
A windowed Gaussian notch filter for quasi-periodic noise removal
I Aizenberg, C Butakoff
Image and Vision Computing 26 (10), 1347-1353, 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 (4), 563-575, 2012
Processing of noisy and small-detailed gray-scale images using cellular neural networks
IN Aizenberg
Journal of Electronic Imaging 6 (3), 272-285, 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, ...
International Conference on Artificial Neural Networks, 1231-1236, 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
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
Periodic activation function and a modified learning algorithm for the multivalued neuron
I Aizenberg
IEEE Transactions on Neural networks 21 (12), 1939-1949, 2010
Image processing using cellular neural networks based on multi-valued and universal binary neurons
I Aizenberg, C Butakoff
Journal of VLSI signal processing systems for signal, image and video …, 2002
Solving the XOR and parity N problems using a single universal binary neuron
I Aizenberg
Soft Computing 12 (3), 215-222, 2008
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