| 2013 | ||
|---|---|---|
| j12 | Igor N. Aizenberg: Hebbian and error-correction learning for complex-valued neurons. Soft Comput. 17(2): 265-273 (2013) | |
| 2012 | ||
| j11 | Igor N. Aizenberg, Antonio Luchetta, Stefano Manetti: A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition. Soft Comput. 16(4): 563-575 (2012) | |
| 2011 | ||
| b1 | Igor N. Aizenberg: Complex-Valued Neural Networks with Multi-Valued Neurons. Studies in Computational Intelligence 353, Springer 2011, isbn 978-3-642-20352-7, pp. 1-248 | |
| c28 | Igor N. Aizenberg, Jacob Jackson, Shane Alexander: Classification of blurred textures using multilayer neural network based on multi-valued neurons. IJCNN 2011: 1328-1335 | |
| c27 | Igor N. Aizenberg, Shane Alexander, Jacob Jackson: Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. ISMVL 2011: 282-287 | |
| c26 | Igor N. Aizenberg: Multi-Valued Neurons: Hebbian and Error-Correction Learning. IWANN (1) 2011: 33-40 | |
| 2010 | ||
| j10 | Igor N. Aizenberg: Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. IEEE Transactions on Neural Networks 21(12): 1939-1949 (2010) | |
| c25 | Igor N. Aizenberg: Complex-Valued Neurons with Phase-Dependent Activation Functions. ICAISC (2) 2010: 3-10 | |
| c24 | Igor N. Aizenberg, Matthew Caudill, Jacob Jackson, Shane Alexander: Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function. IJCNN 2010: 1-8 | |
| c23 | Igor N. Aizenberg: Learning of the Non-threshold Functions of Multiple-Valued Logic by a Single Multi-valued Neuron with a Periodic Activation Function. ISMVL 2010: 33-38 | |
| 2009 | ||
| c22 | ||
| 2008 | ||
| j9 | Igor N. Aizenberg, Constantine Butakoff: A windowed Gaussian notch filter for quasi-periodic noise removal. Image Vision Comput. 26(10): 1347-1353 (2008) | |
| j8 | Igor N. Aizenberg: Solving the XOR and parity N problems using a single universal binary neuron. Soft Comput. 12(3): 215-222 (2008) | |
| j7 | Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola: Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. IEEE Transactions on Neural Networks 19(5): 883-898 (2008) | |
| c21 | Raul Cruz-Cano, Igor N. Aizenberg: Soft Computing Methods for Prediction of Replication Origins in Caudoviruses. ISMVL 2008: 156-162 | |
| 2007 | ||
| j6 | Igor N. Aizenberg, Claudio Moraga: The Genetic Code as a Function of Multiple-Valued Logic Over the Field of Complex Numbers and its Learning using Multilayer Neural Network Based on Multi-Valued Neurons. Multiple-Valued Logic and Soft Computing 13(4-6): 605-618 (2007) | |
| j5 | Igor N. Aizenberg, Claudio Moraga: Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm. Soft Comput. 11(2): 169-183 (2007) | |
| c20 | Igor N. Aizenberg, Jacek M. Zurada: Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). ICANN (1) 2007: 874-883 | |
| c19 | Jacek M. Zurada, Igor N. Aizenberg: Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. IDC 2007: 41-50 | |
| c18 | Igor N. Aizenberg, Claudio Moraga: The Genetic Code as a Multiple-Valued Function and Its Implementation Using Multilayer Neural Network Based on Multi-Valued Neurons. ISMVL 2007: 13 | |
| 2006 | ||
| c17 | Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola: Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. IJCNN 2006: 473-480 | |
| 2004 | ||
| c16 | Igor N. Aizenberg, Claudio Moraga, Dmitriy Paliy: A Feedforward Neural Network based on Multi-Valued Neurons. Fuzzy Days 2004: 599-612 | |
| 2003 | ||
| j4 | Igor N. Aizenberg, Constantine Butakoff: Image processing using cellular neural networks based on multi-valued and universal binary neurons. VLSI Signal Processing 34(3): 301 (2003) | |
| c15 | Igor N. Aizenberg, Jaakko Astola, Constantine Butakoff, Karen O. Egiazarian, Dmitriy Paliy: Effective detection and elimination of impulsive noise with a minimal image smoothing. ICIP (3) 2003: 357-360 | |
| 2002 | ||
| j3 | Igor N. Aizenberg, Constantine Butakoff: Image processing using cellular neural networks based on multi-valued and universal binary neurons. VLSI Signal Processing 32(1-2): 169-188 (2002) | |
| c14 | Igor N. Aizenberg, Taras Bregin, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova: Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration. ICANN 2002: 1231-1236 | |
| 2001 | ||
| j2 | Igor N. Aizenberg, Naum N. Aizenberg, Jens Hiltner, Claudio Moraga, Erdmuthe Meyer zu Bexten: Cellular neural networks and computational intelligence in medical image processing. Image Vision Comput. 19(4): 177-183 (2001) | |
| c13 | Igor N. Aizenberg, Ekaterina Myasnikova, Maria Samsonova, John Reinitz: Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns. Fuzzy Days 2001: 291-304 | |
| c12 | Igor N. Aizenberg: Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing. Fuzzy Days 2001: 450-463 | |
| c11 | Igor N. Aizenberg, Ekaterina Myasnikova, Maria Samsonova: Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons. IWANN (2) 2001: 219-226 | |
| c10 | Igor N. Aizenberg, Naum N. Aizenberg, Constantine Butakoff: Neural Network Based on Multi-valued Neurons: Application in Image Recognition, Type of Blur and Blur Parameters Identification. IWANN (2) 2001: 254-261 | |
| 2000 | ||
| c9 | Igor N. Aizenberg, Naum N. Aizenberg, Constantine Butakoff, Elya Farberov: Image Recognition on the Neural Network Based on Multi-Valued Neurons. ICPR 2000: 2989-2992 | |
| 1999 | ||
| c8 | Igor N. Aizenberg: Neural Networks Based on Multi-valued and Universal Binary Neurons: Theory, Application to Image Processing and Recognition. Fuzzy Days 1999: 306-316 | |
| c7 | Igor N. Aizenberg, Naum N. Aizenberg: Pattern Recognition Using Neural Based on Multi-valued Neurons. IWANN (2) 1999: 383-392 | |
| c6 | Igor N. Aizenberg, Naum N. Aizenberg, Georgy A. Krivosheev: Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition. MLDM 1999: 21-35 | |
| 1998 | ||
| c5 | Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Joos Vandewalle: Ultrasound medical image processing using cellular neural networks. ESANN 1998: 315-320 | |
| c4 | Rusen Öktem, Karen Egiazarian, Igor N. Aizenberg, Naum N. Aizenberg: Transform Domain Denoising using Nonlinear Filtering and Cellular Neural Networks. ICIP (2) 1998: 862-866 | |
| 1997 | ||
| j1 | Igor N. Aizenberg: Processing of noisy and small-detailed gray-scale images using cellular neural networks. J. Electronic Imaging 6(3): 272-285 (1997) | |
| c3 | Naum N. Aizenberg, Igor N. Aizenberg: Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications. IWANN 1997: 463-472 | |
| 1995 | ||
| c2 | Naum N. Aizenberg, Igor N. Aizenberg, Georgy A. Krivosheev: Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series. IWANN 1995: 389-395 | |
| 1993 | ||
| c1 | Naum N. Aizenberg, Igor N. Aizenberg: Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing Problems. IWANN 1993: 230-236 | |
Colors in the list of coauthors
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