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ORCIDIgor N. Aizenberg
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2020 – today
- 2024
[j21]Igor N. Aizenberg, Alexander Vasko:
Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks. Algorithms 17(8): 361 (2024)- 2022
- [j20]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): 74 (2022) - [c57]Marco Bindi, Carlos Iturrino Garcia, Antonio Luchetta, Francesco 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: 1-8 - [c56]Igor N. Aizenberg, Joshua Herman, Alexander Vasko:
A Convolutional Neural Network with Multi-Valued Neurons: a Modified Learning Algorithm and Analysis of Performance. UEMCON 2022: 585-591 - 2020
- [c55]Igor N. Aizenberg, Alexander Vasko:
Convolutional Neural Network with Multi-Valued Neurons. DSMP 2020: 72-77 - [c54]Igor N. Aizenberg, Olivia Keohane, Alejandro Lara:
MLMVN in Speckle Noise Filtering. DSMP 2020: 78-83 - [c53]Olivia Keohane, Igor N. Aizenberg:
Impulse Noise Filtering using MLMVN. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j19]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): 5-19 (2019) - [c52]Igor N. Aizenberg, Marco Bindi, Francesco Grasso, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli:
Testability Analysis in Neural Network Based Fault Diagnosis of DC-DC Converter. RTSI 2019: 265-268 - 2018
- [c51]Kashifuddin Qazi, Igor N. Aizenberg:
Towards Quantum Computing Algorithms for Datacenter Workload Predictions. IEEE CLOUD 2018: 900-903 - [c50]Igor N. Aizenberg, Kashifuddin Qazi:
Cloud Datacenter Workload Prediction Using Complex-Valued Neural Networks. DSMP 2018: 315-321 - [c49]Igor N. Aizenberg, Zain Khaliq:
Analysis of EEG Using Multilayer Neural Network with Multi-Valued Neurons. DSMP 2018: 392-396 - [c48]Igor N. Aizenberg, Alexander Gonzalez:
Image Recognition using MLMVN and Frequency Domain Features. IJCNN 2018: 1-8 - [c47]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: 1-5 - 2017
- [c46]Igor N. Aizenberg, Alan Ordukhanov, Fionntan O'Boy:
MLMVN as an intelligent image filter. IJCNN 2017: 3106-3113 - 2016
- [j18]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: 980-989 (2016) - [c45]Christian Hacker, Igor N. Aizenberg, Jeffrey Wilson:
GPU simulator of multilayer neural network based on multi-valued neurons. IJCNN 2016: 4125-4132 - [c44]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: 4404-4411 - [c43]Igor N. Aizenberg:
Intelligent Image Filtering using Multilayer Neural Network with Multi-Valued Neurons. Image Processing: Algorithms and Systems 2016: 1-9 - 2014
- [j17]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): 1597-1599 (2014) - [j16]Igor N. Aizenberg:
MLMVN With Soft Margins Learning. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1632-1644 (2014) - [c42]Evgeni Aizenberg, Igor N. Aizenberg:
Batch linear least squares-based learning algorithm for MLMVN with soft margins. CIDM 2014: 48-55 - [c41]Igor N. Aizenberg, Leonid Sheremetov, Luis Villa-Vargas:
Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production. MCPR 2014: 61-70 - 2013
- [j15]Igor N. Aizenberg:
Hebbian and error-correction learning for complex-valued neurons. Soft Comput. 17(2): 265-273 (2013) - [c40]Igor N. Aizenberg:
A modified error-correction learning rule for multilayer neural network with multi-valued neurons. IJCNN 2013: 1-8 - 2012
- [j14]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) - [c39]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: 82950S - 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 - [c38]Igor N. Aizenberg, Jacob Jackson, Shane Alexander:
Classification of blurred textures using multilayer neural network based on multi-valued neurons. IJCNN 2011: 1328-1335 - [c37]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: 787004 - [c36]Igor N. Aizenberg, Shane Alexander, Jacob Jackson:
Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-valued Neurons. ISMVL 2011: 282-287 - [c35]Igor N. Aizenberg:
Multi-Valued Neurons: Hebbian and Error-Correction Learning. IWANN (1) 2011: 33-40 - 2010
- [j13]Igor N. Aizenberg:
Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. IEEE Trans. Neural Networks 21(12): 1939-1949 (2010) - [c34]Igor N. Aizenberg:
Complex-Valued Neurons with Phase-Dependent Activation Functions. ICAISC (2) 2010: 3-10 - [c33]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 - [c32]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
2000 – 2009
- 2009
- [c31]Igor N. Aizenberg:
A Multi-valued Neuron with a Periodic Activation Function. IJCCI 2009: 347-354 - 2008
- [j12]Igor N. Aizenberg, Constantine Butakoff:
A windowed Gaussian notch filter for quasi-periodic noise removal. Image Vis. Comput. 26(10): 1347-1353 (2008) - [j11]Igor N. Aizenberg:
Solving the XOR and parity N problems using a single universal binary neuron. Soft Comput. 12(3): 215-222 (2008) - [j10]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): 883-898 (2008) - [c30]Raul Cruz-Cano, Igor N. Aizenberg:
Soft Computing Methods for Prediction of Replication Origins in Caudoviruses. ISMVL 2008: 156-162 - 2007
- [j9]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): 605-618 (2007) - [j8]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) - [c29]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 - [c28]Jacek M. Zurada, Igor N. Aizenberg:
Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons. IDC 2007: 41-50 - [c27]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
- [j7]Igor N. Aizenberg, Jaakko T. Astola:
Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis. IEEE Trans. Signal Process. 54(11): 4261-4270 (2006) - [c26]Igor N. Aizenberg, Dmitriy Paliy, Jaakko Astola:
Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem. IJCNN 2006: 473-480 - 2005
- [j6]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): 63-66 (2005) - 2004
- [j5]Igor N. Aizenberg, Constantine Butakoff:
Effective impulse detector based on rank-order criteria. IEEE Signal Process. Lett. 11(3): 363-366 (2004) - [c25]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. J. VLSI Signal Process. 34(3): 301 (2003) - [c24]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 - [c23]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: 419-428 - 2002
- [j3]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): 169-188 (2002) - [c22]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 - [c21]Igor N. Aizenberg, Constantine Butakoff:
Frequency domain medianlike filter for periodic and quasi-periodic noise removal. Image Processing: Algorithms and Systems 2002: 181-191 - [c20]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: 204-214 - [c19]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: 460-471 - 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 Vis. Comput. 19(4): 177-183 (2001) - [c18]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: 291-304 - [c17]Igor N. Aizenberg:
Multi-valued and Universal Binary Neurons: New Applications in Intelligent Image Processing. Fuzzy Days 2001: 450-463 - [c16]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: 219-226 - [c15]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
- [c14]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 - [c13]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
1990 – 1999
- 1999
- [c12]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 - [c11]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 - [c10]Igor N. Aizenberg, Naum N. Aizenberg:
Pattern Recognition Using Neural Based on Multi-valued Neurons. IWANN (2) 1999: 383-392 - [c9]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
- [c8]Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Joos Vandewalle:
Ultrasound medical image processing using cellular neural networks. ESANN 1998: 315-320 - [c7]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: 1-4 - [c6]Rusen Öktem, Karen O. Egiazarian, Igor N. Aizenberg, Naum N. Aizenberg:
Transform Domain Denoising using Nonlinear Filtering and Cellular Neural Networks. ICIP (2) 1998: 862-866 - [c5]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 - 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) - [c4]Naum N. Aizenberg, Igor N. Aizenberg:
Universal Binary and Multi-values Neurons Paradigm: Conception, Learning, Applications. IWANN 1997: 463-472 - 1996
- [c3]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: 185-189 - 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
Coauthor Index
Constantine Butakoff
aka: Constantine Butakov
aka: Constantine Butakov
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