Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing Problems. - Naum N. Aizenberg; Igor N. Aizenberg (IWANN, 1993)

Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series. - Naum N. Aizenberg; Igor N. Aizenberg; Georgy A. Krivosheev (IWANN, 1995)

Multi-valued and universal binary neurons: mathematical model, learning, networks, application to image processing and pattern recognition. - Naum N. Aizenberg; Igor N. Aizenberg; Georgy A. Krivosheev (ICPR, 1996)

Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications. - Naum N. Aizenberg; Igor N. Aizenberg (IWANN, 1997)

Processing of noisy and small-detailed gray-scale images using cellular neural networks. - Igor N. Aizenberg (J. Electronic Imaging, 1997)

Ultrasound medical image processing using cellular neural networks. - Igor N. Aizenberg; Naum N. Aizenberg; Eugene S. Gotko; Joos Vandewalle (ESANN, 1998)

Solution of the super-resolution problem through extrapolation of the orthogonal spectra using multi-valued neural technique. - Igor N. Aizenberg; Naum N. Aizenberg; Jaakko Astola; Karen O. Egiazarian (EUSIPCO, 1998)

Transform Domain Denoising using Nonlinear Filtering and Cellular Neural Networks. - Rusen Öktem; Karen O. Egiazarian; Igor N. Aizenberg; Naum N. Aizenberg (ICIP (2), 1998)

Medical image processing using neural networks based on multivalued and universal binary neurons. - Igor N. Aizenberg; Naum N. Aizenberg; Eugene S. Gotko; Vladimir A. Sochka (Image Processing, 1998)

Nonlinear cellular neural filtering for noise reduction and extraction of image details. - Igor N. Aizenberg; Naum N. Aizenberg; Sos S. Agaian; Jaakko T. Astola; Karen O. Egiazarian (Electronic Imaging: Nonlinear Image Processing, 1999)

Neural Networks Based on Multi-valued and Universal Binary Neurons: Theory, Application to Image Processing and Recognition. - Igor N. Aizenberg (Fuzzy Days, 1999)

Pattern Recognition Using Neural Based on Multi-valued Neurons. - Igor N. Aizenberg; Naum N. Aizenberg (IWANN (2), 1999)

Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition. - Igor N. Aizenberg; Naum N. Aizenberg; Georgy A. Krivosheev (MLDM, 1999)

New applications of the nonlinear cellular neural filters in image processing. - Igor N. Aizenberg; Naum N. Aizenberg; Jaakko T. Astola; Taras Bregin; Constantine Butakov; Karen O. Egiazarian (Electronic Imaging: Nonlinear Image Processing, 2000)

Image Recognition on the Neural Network Based on Multi-Valued Neurons. - Igor N. Aizenberg; Naum N. Aizenberg; Constantine Butakoff; Elya Farberov (ICPR, 2000)

Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing. - Igor N. Aizenberg (Fuzzy Days, 2001)

Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns. - Igor N. Aizenberg; Ekaterina M. Myasnikova; Maria Samsonova; John Reinitz (Fuzzy Days, 2001)

Neural Network Based on Multi-valued Neurons: Application in Image Recognition, Type of Blur and Blur Parameters Identification. - Igor N. Aizenberg; Naum N. Aizenberg; Constantine Butakoff (IWANN (2), 2001)

Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons. - Igor N. Aizenberg; Ekaterina M. Myasnikova; Maria Samsonova (IWANN (2), 2001)

Cellular neural networks and computational intelligence in medical image processing. - Igor N. Aizenberg; Naum N. Aizenberg; Jens Hiltner; Claudio Moraga; Erdmuthe Meyer zu Bexten (Image Vis. Comput., 2001)

Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration. - Igor N. Aizenberg; Taras Bregin; Constantine Butakoff; Victor N. Karnaukhov; Nickolay S. Merzlyakov; Olga Milukova (ICANN, 2002)

Frequency domain medianlike filter for periodic and quasi-periodic noise removal. - Igor N. Aizenberg; Constantine Butakoff (Image Processing: Algorithms and Systems, 2002)

Blurred image restoration using the type of blur and blur parameter identification on the neural network. - Igor N. Aizenberg; Constantine Butakoff; Victor N. Karnaukhov; Nickolay S. Merzlyakov; Olga Milukova (Image Processing: Algorithms and Systems, 2002)

Method for impulsive noise detection and its applications to the improvement of impulsive noise-filtering algorithms. - Igor N. Aizenberg; Taras Bregin; Dmitriy Paliy (Image Processing: Algorithms and Systems, 2002)

Effective detection and elimination of impulsive noise with a minimal image smoothing. - Igor N. Aizenberg; Jaakko Astola; Constantine Butakoff; Karen O. Egiazarian; Dmitriy Paliy (ICIP (3), 2003)

Detectors of the impulsive noise and new effective filters for the impulsive noise reduction. - Igor N. Aizenberg; Jaakko T. Astola; Taras Bregin; Constantine Butakoff; Karen O. Egiazarian; Dmitriy Paliy (Image Processing: Algorithms and Systems, 2003)

Image processing using cellular neural networks based on multi-valued and universal binary neurons. - Igor N. Aizenberg; Constantine Butakoff (J. VLSI Signal Process., 2003)

A Feedforward Neural Network based on Multi-Valued Neurons. - Igor N. Aizenberg; Claudio Moraga; Dmitriy Paliy (Fuzzy Days, 2004)

Effective impulse detector based on rank-order criteria. - Igor N. Aizenberg; Constantine Butakoff (IEEE Signal Process. Lett., 2004)

Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions. - Igor N. Aizenberg; Constantine Butakoff; Dmitriy Paliy (IEEE Signal Process. Lett., 2005)

Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. - Igor N. Aizenberg; Dmitriy Paliy; Jaakko Astola (IJCNN, 2006)

Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis. - Igor N. Aizenberg; Jaakko T. Astola (IEEE Trans. Signal Process., 2006)

Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN). - Igor N. Aizenberg; Jacek M. Zurada (ICANN (1), 2007)

Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. - Jacek M. Zurada; Igor N. Aizenberg (IDC, 2007)

The Genetic Code as a Multiple-Valued Function and Its Implementation Using Multilayer Neural Network Based on Multi-Valued Neurons. - Igor N. Aizenberg; Claudio Moraga (ISMVL, 2007)

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. - Igor N. Aizenberg; Claudio Moraga (J. Multiple Valued Log. Soft Comput., 2007)

Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm. - Igor N. Aizenberg; Claudio Moraga (Soft Comput., 2007)

Soft Computing Methods for Prediction of Replication Origins in Caudoviruses. - Raul Cruz-Cano; Igor N. Aizenberg (ISMVL, 2008)

A windowed Gaussian notch filter for quasi-periodic noise removal. - Igor N. Aizenberg; Constantine Butakoff (Image Vis. Comput., 2008)

Solving the XOR and parity N problems using a single universal binary neuron. - Igor N. Aizenberg (Soft Comput., 2008)

Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. - Igor N. Aizenberg; Dmitriy Paliy; Jacek M. Zurada; Jaakko Astola (IEEE Trans. Neural Networks, 2008)

A Multi-valued Neuron with a Periodic Activation Function. - Igor N. Aizenberg (IJCCI, 2009)

Complex-Valued Neurons with Phase-Dependent Activation Functions. - Igor N. Aizenberg (ICAISC (2), 2010)

Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function. - Igor N. Aizenberg; Matthew Caudill; Jacob Jackson; Shane Alexander (IJCNN, 2010)

Learning of the Non-threshold Functions of Multiple-Valued Logic by a Single Multi-valued Neuron with a Periodic Activation Function. - Igor N. Aizenberg (ISMVL, 2010)

Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. - Igor N. Aizenberg (IEEE Trans. Neural Networks, 2010)

Classification of blurred textures using multilayer neural network based on multi-valued neurons. - Igor N. Aizenberg; Jacob Jackson; Shane Alexander (IJCNN, 2011)

Intelligent edge enhancement using multilayer neural network based on multi-valued neurons. - Igor N. Aizenberg; Shane Alexander; Jacob Jackson; Thomas Neal; Jeffrey Wilson; Kristi Kendrick (Image Processing: Algorithms and Systems, 2011)

Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. - Igor N. Aizenberg; Shane Alexander; Jacob Jackson (ISMVL, 2011)

Multi-Valued Neurons: Hebbian and Error-Correction Learning. - Igor N. Aizenberg (IWANN (1), 2011)

Complex-Valued Neural Networks with Multi-Valued Neurons - Igor N. Aizenberg (Springer, 2011)

Intelligent detection of impulse noise using multilayer neural network with multi-valued neurons. - Igor N. Aizenberg; Glen Wallace (Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, 2012)

A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition. - Igor N. Aizenberg; Antonio Luchetta; Stefano Manetti (Soft Comput., 2012)

A modified error-correction learning rule for multilayer neural network with multi-valued neurons. - Igor N. Aizenberg (IJCNN, 2013)

Hebbian and error-correction learning for complex-valued neurons. - Igor N. Aizenberg (Soft Comput., 2013)

Batch linear least squares-based learning algorithm for MLMVN with soft margins. - Evgeni Aizenberg; Igor N. Aizenberg (CIDM, 2014)

Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production. - Igor N. Aizenberg; Leonid Sheremetov; Luis Villa-Vargas (MCPR, 2014)

MLMVN With Soft Margins Learning. - Igor N. Aizenberg (IEEE Trans. Neural Networks Learn. Syst., 2014)

Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks. - Akira Hirose 001; Igor N. Aizenberg; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2014)

System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs. - Igor N. Aizenberg; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli (IJCNN, 2016)

GPU simulator of multilayer neural network based on multi-valued neurons. - Christian Hacker; Igor N. Aizenberg; Jeffrey Wilson (IJCNN, 2016)

Intelligent Image Filtering using Multilayer Neural Network with Multi-Valued Neurons. - Igor N. Aizenberg (Image Processing: Algorithms and Systems, 2016)

Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production. - Igor N. Aizenberg; Leonid Sheremetov; Luis Villa-Vargas; Jorge Martínez Muñoz (Neurocomputing, 2016)

MLMVN as an intelligent image filter. - Igor N. Aizenberg; Alan Ordukhanov; Fionntan O'Boy (IJCNN, 2017)

Towards Quantum Computing Algorithms for Datacenter Workload Predictions. - Kashifuddin Qazi; Igor N. Aizenberg (IEEE CLOUD, 2018)

Analysis of EEG Using Multilayer Neural Network with Multi-Valued Neurons. - Igor N. Aizenberg; Zain Khaliq (DSMP, 2018)

Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks. - Igor N. Aizenberg; Kashifuddin Qazi (DSMP, 2018)

Image Recognition using MLMVN and Frequency Domain Features. - Igor N. Aizenberg; Alexander Gonzalez (IJCNN, 2018)

A multi-step approach to the single fault diagnosis of DC-DC switched power converters. - Igor N. Aizenberg; Fabio Corti; Francesco Grasso; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli; Alberto Reatti; Marian K. Kazimierczuk (ISCAS, 2018)

Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter. - Igor N. Aizenberg; Marco Bindi; Francesco Grasso; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli (RTSI, 2019)

A MLMVN with Arbitrary Complex-Valued Inputs and a Hybrid Testability Approach for the Extraction of Lumped Models Using FRA. - Igor N. Aizenberg; Antonio Luchetta; Stefano Manetti; Maria Cristina Piccirilli (J. Artif. Intell. Soft Comput. Res., 2019)

MLMVN in Speckle Noise Filtering. - Igor N. Aizenberg; Olivia Keohane; Alejandro Lara (DSMP, 2020)

Convolutional Neural Network with Multi-Valued Neurons. - Igor N. Aizenberg; Alexander Vasko (DSMP, 2020)

Impulse Noise Filtering using MLMVN. - Olivia Keohane; Igor N. Aizenberg (IJCNN, 2020)

Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks. - Marco Bindi; Carlos Iturrino Garcia; Antonio Luchetta; Francesco Grasso; Maria Cristina Piccirilli; Libero Paolucci; Igor N. Aizenberg (IJCNN, 2022)

A Convolutional Neural Network with Multi-Valued Neurons: a Modified Learning Algorithm and Analysis of Performance. - Igor N. Aizenberg; Joshua Herman; Alexander Vasko (UEMCON, 2022)

Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications. - Marco Bindi; Fabio Corti; Igor N. Aizenberg; Francesco Grasso; Gabriele Maria Lozito; Antonio Luchetta; Maria Cristina Piccirilli; Alberto Reatti (Algorithms, 2022)

Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks. - Igor N. Aizenberg; Alexander Vasko (Algorithms, 2024)