Igor N. Aizenberg

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 17

Top Topics

Noise Filtering

Power Quality Disturbance

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Image Processing: Algorithms and Systems

Publications

Marco Bindi, Carlos Iturrino Garcia, Antonio Luchetta, Franceso Grasso, Maria Cristina Piccirilli, Libero Paolucci, Igor N. Aizenberg
Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks. IJCNN (2022)
Marco Bindi, Fabio Corti, Igor N. Aizenberg, Francesco Grasso, Gabriele Maria Lozito, Antonio Luchetta, Maria Cristina Piccirilli, Alberto Reatti
Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications. Algorithms 15 (3) (2022)
Igor N. Aizenberg, Olivia Keohane, Alejandro Lara
MLMVN in Speckle Noise Filtering. DSMP (2020)
Olivia Keohane, Igor N. Aizenberg
Impulse Noise Filtering using MLMVN. IJCNN (2020)
Igor N. Aizenberg, Alexander Vasko
Convolutional Neural Network with Multi-Valued Neurons. DSMP (2020)
Igor N. Aizenberg, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli
A MLMVN with Arbitrary Complex-Valued Inputs and a Hybrid Testability Approach for the Extraction of Lumped Models Using FRA. J. Artif. Intell. Soft Comput. Res. 9 (1) (2019)
Igor N. Aizenberg, M. Bindi, Francesco Grasso, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli
Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter. RTSI (2019)
Igor N. Aizenberg, Fabio Corti, Francesco Grasso, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli, Alberto Reatti, Marian K. Kazimierczuk
A multi-step approach to the single fault diagnosis of DC-DC switched power converters. ISCAS (2018)
Igor N. Aizenberg, Zain Khaliq
Analysis of EEG Using Multilayer Neural Network with Multi-Valued Neurons. DSMP (2018)
Igor N. Aizenberg, Alexander Gonzalez
Image Recognition using MLMVN and Frequency Domain Features. IJCNN (2018)
Kashifuddin Qazi, Igor N. Aizenberg
Towards Quantum Computing Algorithms for Datacenter Workload Predictions. IEEE CLOUD (2018)
Igor N. Aizenberg, Kashifuddin Qazi
Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks. DSMP (2018)
Igor N. Aizenberg, Alan Ordukhanov, Fionntan O'Boy
MLMVN as an intelligent image filter. IJCNN (2017)
Igor N. Aizenberg
Intelligent Image Filtering using Multilayer Neural Network with Multi-Valued Neurons. Image Processing: Algorithms and Systems (2016)
Igor N. Aizenberg, Leonid Sheremetov, Luis Villa-Vargas, Jorge Martínez Muñoz
Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production. Neurocomputing 175 (2016)
Igor N. Aizenberg, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli
System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs. IJCNN (2016)
Christian Hacker, Igor N. Aizenberg, Jeffrey Wilson
GPU simulator of multilayer neural network based on multi-valued neurons. IJCNN (2016)
Igor N. Aizenberg, Leonid Sheremetov, Luis Villa-Vargas
Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production. MCPR (2014)
Igor N. Aizenberg
MLMVN With Soft Margins Learning. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Akira Hirose, Igor N. Aizenberg, Danilo P. Mandic
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Evgeni Aizenberg, Igor N. Aizenberg
Batch linear least squares-based learning algorithm for MLMVN with soft margins. CIDM (2014)
Igor N. Aizenberg
A modified error-correction learning rule for multilayer neural network with multi-valued neurons. IJCNN (2013)
Igor N. Aizenberg
Hebbian and error-correction learning for complex-valued neurons. Soft Comput. 17 (2) (2013)
Igor N. Aizenberg, Glen Wallace
Intelligent detection of impulse noise using multilayer neural network with multi-valued neurons. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications (2012)
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) (2012)
Igor N. Aizenberg, Jacob Jackson, Shane Alexander
Classification of blurred textures using multilayer neural network based on multi-valued neurons. IJCNN (2011)
Igor N. Aizenberg, Shane Alexander, Jacob Jackson
Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. ISMVL (2011)
Igor N. Aizenberg, Shane Alexander, Jacob Jackson, Thomas Neal, Jeffrey Wilson, Kristi Kendrick
Intelligent edge enhancement using multilayer neural network based on multi-valued neurons. Image Processing: Algorithms and Systems (2011)
Igor N. Aizenberg
Multi-Valued Neurons: Hebbian and Error-Correction Learning. IWANN (1) (2011)
Igor N. Aizenberg
Complex-Valued Neurons with Phase-Dependent Activation Functions. ICAISC (2) (2010)
Igor N. Aizenberg
Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. IEEE Trans. Neural Networks 21 (12) (2010)
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)
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)
Igor N. Aizenberg
A Multi-valued Neuron with a Periodic Activation Function. IJCCI (2009)
Igor N. Aizenberg
problems using a single universal binary neuron. Soft Comput. 12 (3) (2008)
Raul Cruz-Cano, Igor N. Aizenberg
Soft Computing Methods for Prediction of Replication Origins in Caudoviruses. ISMVL (2008)
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. IEEE Trans. Neural Networks 19 (5) (2008)
Igor N. Aizenberg, Constantine Butakoff
A windowed Gaussian notch filter for quasi-periodic noise removal. Image Vis. Comput. 26 (10) (2008)
Igor N. Aizenberg, Claudio Moraga
Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm. Soft Comput. 11 (2) (2007)
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. J. Multiple Valued Log. Soft Comput. 13 (4-6) (2007)
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)
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)
Jacek M. Zurada, Igor N. Aizenberg
Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. IDC (2007)
Igor N. Aizenberg, Jaakko T. Astola
Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis. IEEE Trans. Signal Process. 54 (11) (2006)
Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. IJCNN (2006)
Igor N. Aizenberg, Constantine Butakoff, Dmitriy Paliy
Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions. IEEE Signal Process. Lett. 12 (1) (2005)
Igor N. Aizenberg, Constantine Butakoff
Effective impulse detector based on rank-order criteria. IEEE Signal Process. Lett. 11 (3) (2004)
Igor N. Aizenberg, Claudio Moraga, Dmitriy Paliy
A Feedforward Neural Network based on Multi-Valued Neurons. Fuzzy Days (2004)
Igor N. Aizenberg, Jaakko T. Astola, Taras Bregin, Constantine Butakoff, Karen O. Egiazarian, Dmitriy Paliy
Detectors of the impulsive noise and new effective filters for the impulsive noise reduction. Image Processing: Algorithms and Systems (2003)
Igor N. Aizenberg, Constantine Butakoff
Image processing using cellular neural networks based on multi-valued and universal binary neurons. J. VLSI Signal Process. 34 (3) (2003)
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)
Igor N. Aizenberg, Constantine Butakoff
Frequency domain medianlike filter for periodic and quasi-periodic noise removal. Image Processing: Algorithms and Systems (2002)
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)
Igor N. Aizenberg, Constantine Butakoff
Image processing using cellular neural networks based on multi-valued and universal binary neurons. J. VLSI Signal Process. 32 (1-2) (2002)
Igor N. Aizenberg, Constantine Butakoff, Victor N. Karnaukhov, Nickolay S. Merzlyakov, Olga Milukova
Blurred image restoration using the type of blur and blur parameter identification on the neural network. Image Processing: Algorithms and Systems (2002)
Igor N. Aizenberg, Taras Bregin, Dmitriy Paliy
Method for impulsive noise detection and its applications to the improvement of impulsive noise-filtering algorithms. Image Processing: Algorithms and Systems (2002)
Igor N. Aizenberg
Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing. Fuzzy Days (2001)
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)
Igor N. Aizenberg, Ekaterina M. 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)
Igor N. Aizenberg, Ekaterina M. Myasnikova, Maria Samsonova
Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons. IWANN (2) (2001)
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 Vis. Comput. 19 (4) (2001)
Igor N. Aizenberg, Naum N. Aizenberg, Constantine Butakoff, Elya Farberov
Image Recognition on the Neural Network Based on Multi-Valued Neurons. ICPR (2000)
Igor N. Aizenberg, Naum N. Aizenberg, Jaakko T. Astola, Taras Bregin, Constantine Butakov, Karen O. Egiazarian
New applications of the nonlinear cellular neural filters in image processing. Electronic Imaging: Nonlinear Image Processing (2000)
Igor N. Aizenberg, Naum N. Aizenberg
Pattern Recognition Using Neural Based on Multi-valued Neurons. IWANN (2) (1999)
Igor N. Aizenberg, Naum N. Aizenberg, Sos S. Agaian, Jaakko T. Astola, Karen O. Egiazarian
Nonlinear cellular neural filtering for noise reduction and extraction of image details. Electronic Imaging: Nonlinear Image Processing (1999)
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)
Igor N. Aizenberg
Neural Networks Based on Multi-valued and Universal Binary Neurons: Theory, Application to Image Processing and Recognition. Fuzzy Days (1999)
Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Vladimir A. Sochka
Medical image processing using neural networks based on multivalued and universal binary neurons. Medical Imaging: Image Processing (1998)
Rusen Öktem, Karen O. Egiazarian, Igor N. Aizenberg, Naum N. Aizenberg
Transform Domain Denoising using Nonlinear Filtering and Cellular Neural Networks. ICIP (2) (1998)
Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Joos Vandewalle
Ultrasound medical image processing using cellular neural networks. ESANN (1998)
Igor N. Aizenberg, Naum N. Aizenberg, Jaakko Astola, Karen O. Egiazarian
Solution of the super-resolution problem through extrapolation of the orthogonal spectra using multi-valued neural technique. EUSIPCO (1998)
Igor N. Aizenberg
Processing of noisy and small-detailed gray-scale images using cellular neural networks. J. Electronic Imaging 6 (3) (1997)
Naum N. Aizenberg, Igor N. Aizenberg
Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications. IWANN (1997)
Naum N. Aizenberg, Igor N. Aizenberg, Georgy A. Krivosheev
Multi-valued and universal binary neurons: mathematical model, learning, networks, application to image processing and pattern recognition. ICPR (1996)
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)
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)