Igor N. Aizenberg

According to our database1, Igor N. Aizenberg authored at least 77 papers between 1993 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications.
Algorithms, 2022

A Convolutional Neural Network with Multi-Valued Neurons: a Modified Learning Algorithm and Analysis of Performance.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Classification of Power Quality disturbances using Multi-Valued Neural Networks and Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

2020
Impulse Noise Filtering using MLMVN.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Convolutional Neural Network with Multi-Valued Neurons.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

MLMVN in Speckle Noise Filtering.
Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019
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., 2019

Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

2018
A multi-step approach to the single fault diagnosis of DC-DC switched power converters.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Image Recognition using MLMVN and Frequency Domain Features.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Analysis of EEG Using Multilayer Neural Network with Multi-Valued Neurons.
Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Towards Quantum Computing Algorithms for Datacenter Workload Predictions.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
MLMVN as an intelligent image filter.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production.
Neurocomputing, 2016

Intelligent Image Filtering using Multilayer Neural Network with Multi-Valued Neurons.
Proceedings of the Image Processing: Algorithms and Systems XIV, 2016

GPU simulator of multilayer neural network based on multi-valued neurons.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

MLMVN With Soft Margins Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Batch linear least squares-based learning algorithm for MLMVN with soft margins.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Hebbian and error-correction learning for complex-valued neurons.
Soft Comput., 2013

A modified error-correction learning rule for multilayer neural network with multi-valued neurons.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition.
Soft Comput., 2012

Intelligent detection of impulse noise using multilayer neural network with multi-valued neurons.
Proceedings of the Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 2012

2011
Complex-Valued Neural Networks with Multi-Valued Neurons
Studies in Computational Intelligence 353, Springer, ISBN: 978-3-642-20352-7, 2011

Multi-Valued Neurons: Hebbian and Error-Correction Learning.
Proceedings of the Advances in Computational Intelligence, 2011

Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons.
Proceedings of the 41st IEEE International Symposium on Multiple-Valued Logic, 2011

Intelligent edge enhancement using multilayer neural network based on multi-valued neurons.
Proceedings of the Image Processing: Algorithms and Systems IX, 2011

Classification of blurred textures using multilayer neural network based on multi-valued neurons.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron.
IEEE Trans. Neural Networks, 2010

Learning of the Non-threshold Functions of Multiple-Valued Logic by a Single Multi-valued Neuron with a Periodic Activation Function.
Proceedings of the 40th IEEE International Symposium on Multiple-Valued Logic, 2010

Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function.
Proceedings of the International Joint Conference on Neural Networks, 2010

Complex-Valued Neurons with Phase-Dependent Activation Functions.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009
A Multi-valued Neuron with a Periodic Activation Function.
Proceedings of the IJCCI 2009, 2009

2008
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons.
IEEE Trans. Neural Networks, 2008

Solving the XOR and parity <i>N</i> problems using a single universal binary neuron.
Soft Comput., 2008

A windowed Gaussian notch filter for quasi-periodic noise removal.
Image Vis. Comput., 2008

Soft Computing Methods for Prediction of Replication Origins in Caudoviruses.
Proceedings of the 38th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2008), 2008

2007
Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm.
Soft Comput., 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.
J. Multiple Valued Log. Soft Comput., 2007

The Genetic Code as a Multiple-Valued Function and Its Implementation Using Multilayer Neural Network Based on Multi-Valued Neurons.
Proceedings of the 37th International Symposium on Multiple-Valued Logic, 2007

Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons.
Proceedings of the Advances in Intelligent and Distributed Computing, 2007

Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN).
Proceedings of the Artificial Neural Networks, 2007

2006
Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis.
IEEE Trans. Signal Process., 2006

Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Impulsive noise removal using threshold Boolean filtering based on the impulse detecting functions.
IEEE Signal Process. Lett., 2005

2004
Effective impulse detector based on rank-order criteria.
IEEE Signal Process. Lett., 2004

A Feedforward Neural Network based on Multi-Valued Neurons.
Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

2003
Image processing using cellular neural networks based on multi-valued and universal binary neurons.
J. VLSI Signal Process., 2003

Detectors of the impulsive noise and new effective filters for the impulsive noise reduction.
Proceedings of the Image Processing: Algorithms and Systems II, 2003

Effective detection and elimination of impulsive noise with a minimal image smoothing.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Method for impulsive noise detection and its applications to the improvement of impulsive noise-filtering algorithms.
Proceedings of the Image Processing: Algorithms and Systems, 2002

Blurred image restoration using the type of blur and blur parameter identification on the neural network.
Proceedings of the Image Processing: Algorithms and Systems, 2002

Frequency domain medianlike filter for periodic and quasi-periodic noise removal.
Proceedings of the Image Processing: Algorithms and Systems, 2002

Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration.
Proceedings of the Artificial Neural Networks, 2002

2001
Cellular neural networks and computational intelligence in medical image processing.
Image Vis. Comput., 2001

Classification of the Images of Gene Expression Patterns Using Neural Networks Based on Multi-valued Neurons.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Neural Network Based on Multi-valued Neurons: Application in Image Recognition, Type of Blur and Blur Parameters Identification.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns.
Proceedings of the Computational Intelligence, 2001

Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing.
Proceedings of the Computational Intelligence, 2001

2000
Image Recognition on the Neural Network Based on Multi-Valued Neurons.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

New applications of the nonlinear cellular neural filters in image processing.
Proceedings of the Nonlinear Image Processing XI, 2000

1999
Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 1999

Pattern Recognition Using Neural Based on Multi-valued Neurons.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Neural Networks Based on Multi-valued and Universal Binary Neurons: Theory, Application to Image Processing and Recognition.
Proceedings of the Computational Intelligence, 1999

Nonlinear cellular neural filtering for noise reduction and extraction of image details.
Proceedings of the Nonlinear Image Processing X, 1999

1998
Medical image processing using neural networks based on multivalued and universal binary neurons.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Transform Domain Denoising using Nonlinear Filtering and Cellular Neural Networks.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Solution of the super-resolution problem through extrapolation of the orthogonal spectra using multi-valued neural technique.
Proceedings of the 9th European Signal Processing Conference, 1998

Ultrasound medical image processing using cellular neural networks.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

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

Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996
Multi-valued and universal binary neurons: mathematical model, learning, networks, application to image processing and pattern recognition.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1993
Fast-Convergence Learning Algorithms for Multi-Level and Binary Neurons and Solution of Some Image Processing Problems.
Proceedings of the New Trends in Neural Computation, 1993


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