MONOGRAPHS

 

1.      Aizenberg I., "Complex-Valued Neural Networks with Multi-Valued Neurons", Springer, Berlin/Heidelberg, 2011.

2.      Aizenberg I.N., Aizenberg N.N. and Vandewalle J., Multi-Valued and Universal Binary Neurons: Theory, Learning, Applications, Kluwer Academic Publishers, Boston/Dordrecht/London, 2000.

 

PEER-REVIEWED JOURNAL PUBLICATIONS

 

3.      Aizenberg I., “MLMVN with Soft Margins Learning”, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, No 9, September 2014, pp. 1632-1644 (The data sets, which were used in simulations and resulting weights are available here).

4.      Hirose A., Aizenberg I., Mandic D., “Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks”, vol. 25, No 9, September-October 2014, pp. 1697-1599.

5.      Aizenberg I., “Hebbian and Error-Correction Learning for Complex-Valued NeuronsSoft Computing, vol. 17, No 2, February 2013, pp. 265-273.
The original SpringerLink: http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s00500-012-0891-8

6.      Aizenberg I., Luchano A., and Manetti S. "A Modified Learning Algorithm for the Multilayer Neural Network with Multi-Valued Neurons Based on the Complex QR Decomposition", Soft Computing, vol. 16, No 4, April 2012, pp. 563-575. The original SpringerLink: http://www.springerlink.com/content/nl268x0877620k01/fulltext.pdf

7.      Aizenberg I. “A Periodic Activation Function and a Modified Learning Algorithm for the Multi-Valued Neuron”, IEEE Transactions on Neural Networks, vol. 21, No 12, December 2010, pp. 1939-1949.

8.      Aizenberg I., Paliy D., Zurada J., and Astola J., "Blur Identification by Multilayer Neural Network based on Multi-Valued Neurons", IEEE Transactions on Neural Networks, vol. 19, No 5, May 2008, pp. 883-898.

9.      Aizenberg I., "Solving the XOR and Parity n Problems Using a Single Universal Binary Neuron", Soft Computing, vol. 12, No 3, February 2008, pp. 215-222. The original SpringerLink: http://www.springerlink.com/content/y426k7r13355n196/fulltext.pdf

10.  Aizenberg I. and Butakoff C., “A Windowed Gaussian Notch Filter for Quasi-Periodic Noise Removal”, Image and Vision Computing, vol. 26, Issue 10, October 2008, pp. 1347-1353.

11.  Aizenberg I. and Moraga C., "Multilayer Feedforward Neural Network based on Multi-Valued Neurons and a Backpropagation Learning Algorithm", Soft Computing, vol. 11, No 2, January, 2007, pp. 169-183. The original SpringerLink: http://www.springerlink.com/content/t645547tn41006g0/fulltext.pdf

12.  Aizenberg I. and Moraga C., "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", Journal of Multiple-Valued Logic and Soft Computing, No 4-6, November 2007, pp. 605-618.

13.  Aizenberg I. and Astola J., "Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis", IEEE Transactions on Signal Processing, vol. 54, No 11, November 2006, pp. 4261-4270.

14.  Aizenberg I., "Complex-Valued Neural Networks: Theories and Applications—A. Hirose, Ed." A Book Review. IEEE Transactions on Neural Networks, vol. 17. No 2, March 2006, p. 534.

15.  Aizenberg I., Butakoff C. and Paliy D., "Impulsive Noise Removal using Threshold Boolean Filtering based on the Impulse Detecting Functions", IEEE Signal Processing Letters, Vol.12, No 1, January 2005, pp. 63- 66.

16.  Aizenberg I. and Butakoff C., "Effective Impulse Detectors Based on Rank-Order Criteria", IEEE Signal Processing Letters, Vol. 11, No 3, March, 2004, pp. 363-366.

17.  Aizenberg I. and Butakoff C., "Superresolution and Supersampling by Spectrum Extrapolation", Pattern Recognition and Image Analysis, Vol. 14, No 3, August, 2004, pp.370-379.

18.  Aizenberg I. and Butakoff C., “Image Processing Using Cellular Neural Networks Based on Multi-Valued and Universal Binary Neurons”, Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, Vol. 32, 2002, pp. 169-188.

19.  Aizenberg I., Myasnikova E., Samsonova M., and Reinitz J., “Temporal Classification of Drosophila Segmentation Gene Expression Patterns by the Multi-Valued Neural Recognition Method”, Mathematical Biosciences, Vol.176 (1), 2002, pp. 145-159.

20.  Aizenberg I. and Butakoff C., “Median in Spatial and Frequency Domain Filtering”, SPIE’s International Technical Groups Newsletters on Electronic Imaging, Vol. 12, No2, June 2002, p.4.

21.  Aizenberg I., Aizenberg N., Hiltner J., Moraga C. and Meyer zu Bexten E., “Cellular Neural Networks and Computational Intelligence in Medical Image Processing”, Image and Vision Computing, Vol. 19, March, 2001, pp. 177-183.

22.  Aizenberg I., Aizenberg N., Bregin T., Butakov C., Farberov E., Merzlyakov N. and Milyukova O., “Blur Recognition on the Neural Network based on Multi-Valued Neurons”, Journal of Image and Graphics. Vol.5, 2000, pp.127-130.

23.  Aizenberg I.N., “Processing of noisy and small-detailed gray-scale images using cellular neural networks”, Journal of Electronic Imaging, vol. 6, No 3, July, 1997, pp. 272-285.

24.  Aizenberg I.N., “Some image processing algorithms, and their implementation on the neural networks”, Komputernaja Optika ("Computer Optics"), 1997, Vol. 17, pp. 134-142 (in Russian).

25.  Aizenberg N.N., Aizenberg I.N. and Krivosheev G.A., “Neural Networks Based on Multi-Valued Neurons: Learning and Application to Image Processing and Recognition”, Komputernaja Optika ("Computer Optics"), 1995, Vol. 14-15, No 1, pp. 179-186 (in Russian).

26.  Aizenberg I.N., "The Universal Logical Element over the Field of the Complex Numbers ", Cybernetics and Systems Analysis, 1991, Vol. 27, No 3, pp. 467-473.

27.  Aizenberg I.N. and Yaroslavsky L.P., "Two-stage Transformational Method for Image Coding", Komputernaja Optika ("Computer Optics"), 1991, vol. 9, pp. 48-56 (in Russian).

28.  Aizenberg I.N., "Model of the Element with Complete Functionality", Izvestia AN SSSR. Technicheskaya Kibernetika ("Journal of Computer and System Sciences International "), 1985, No. 2, pp. 188-191 (in Russian, journal is translated into English by Pleiades Publishing, Inc.);

29.  Aizenberg I.N., "About one approach to Binary Signals Coding over the Finite Fields", Kibernetika (Cybernetics and Systems Analysis), 1984, No. 5, pp. 118-119 (in Russian).

 

PEER-REVIEWED BOOK CHAPTERS AND

PEER-REVIEWED CONFERENCE PROCEEDINGS

 

30.  Aizenberg I., Sheremetov L., Villa-Vargas L., “Multilayer Neural Network with Multi-Valued Neurons in Time Series Forecasting of Oil Production”, Springer series Lecture Notes in Computer Science, vol. 8495 “Pattern Recognition - 6th Mexican Conference on Pattern Recognition, MCPR 2014, Cancun, Mexico, June 25-28, 2014, Proceedings” (J.F. Martinez-Trinidad, J.A. Carrasco-Ochoa, J.A. Olvera-Lopez, J. Salaz-Rodriguez, C.Y. Suen - Eds), June, 2014, pp. 61-70.

31.  Aizenberg I., “A Modified Error-Correction Learning Rule for Multilayer Neural Network with Multi-Valued Neurons”, Proceedings of the 2013 IEEE International Joint Conference on Neural Networks (IJCNN 2013), August, 2013, pp. 970-977 (The data sets, which were used in simulations and resulting weights are available here).

32.  Manyakov N.V., Aizenberg I., Chumerin N., and Van Hulle M., “Phase-Coded Brain-Computer Interface Based on MLMVN”, book chapter in Complex-Valued Neural Networks: Advances and Applications (A. Hirose – Ed.), Wiley, 2013, pp. 185-208.

33.  Wilson J. and Aizenberg I., “Intelligent Edge Detection using a CUDA Simulator of Multilayer Neural Network Based on Multi-Valued Neurons”, Proceedings of the 2012 International Conference on Image Processing, Computer Vision & Pattern Recognition (IPCV-WORLDCOMP’12) (H.A. Arabnia and L. Deligiannidis – Eds.), CSREA Press, Las Vegas, July 2012, pp. 291-297.

34.  Aizenberg I. and Wallace G., “Intelligent detection of Impulse Noise using Multilayer Neural Network with Multi-Valued Neurons”, SPIE Proceedings, vol. 8295, February 2012, pp. 82950S-1- 82950S-12.

35.  Aizenberg I., Jackson J., and Alexander S., “Classification of Blurred Textures using Multilayer Neural Network based on Multi-Valued Neurons”, Proceedings of the 2011 IEEE International Joint Conference on Neural Networks (IJCNN 2011), August, 2011, pp. 1328-1335.

36.  Aizenberg I., “Multi-Valued Neurons: Hebbian and Error-Correction Learning”, Springer series Lecture Notes in Computer Science, vol. 6691 “Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I” (J. Cabestany, I. Rojas, G.J Caparros - Eds), June, 2011, pp. 33-40.

37.  Aizenberg I., Alexander S., and Jackson J., “Recognition of Blurred Images Using Multilayer Neural Network Based on Multi-Valued Neurons”, Proceedings of the 41st IEEE International Symposium on Multiple-Valued Logic (ISMVL-2011), IEEE Computer Society Press, May 2011, pp. 282-287.

38.  Aizenberg I., "On the Projection of k-Valued Non-Linearly Separable Problems into m-Valued Linearly Separable Problems", book chapter in Springer series book Studies in Computational Intelligence (K. Madani, A.D. Correia, A. Rosa, J. Filipe – Eds.), 2011, Volume 343, Springer, Berlin-Heidelberg, 2011, pp. 223-235.

39.  Aizenberg I., Alexander S., Jackson J., Neal T., Wilson J, and Kendrick K., “Intelligent edge enhancement using multilayer neural network based on multi-valued neurons”, SPIE Proceedings, vol. 7870 (Proc. of SPIE Congress “Electronic Imaging 2011”), March 2011, pp. 7870004-1 – 7870004-11.

40.  Aizenberg I., Caudill M., Jackson J., and Alexander S., "Learning Nonlinearly Separable mod k Addition Problem Using a Single Multi-Valued Neuron With a Periodic Activation Function", Proceedings of the 2010 IEEE World Congress on Computational Intelligence – 2010 IEEE International Joint Conference on Neural Networks, Barcelona, Spain, July 18-23, 2010, pp. 2577-2584.

41.  Aizenberg I., "Complex-Valued Neurons with Phase-Dependent Activation Functions", in book "Artificial Intelligence and Soft Computing" (Rutkowski L. et al. – Eds.), Springer Series "Lecture Notes in Computer Science", vol. 6114, Part II, 2010, pp. 3-10.

42.  Aizenberg I., "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 (ISMVL-2010), Barcelona, Spain, May 26-28, 2010, IEEE Computer Society Press, pp. 33-38.

43.  Aizenberg I., "A Multi-Valued Neuron with a Periodic Activation Function", Proceedings of the International Joint Conference on Computational Intelligence, Funchal-Madeira, Portugal, October 5-7, 2009, pp. 347-354.

44.  Zurada J., Aizenberg I., and Mazurowski M., "Learning in Networks: Complex-valued Neurons, Pruning, and Rule Extraction", Proceedings of the 4th IEEE International Conference on Intelligent Systems (IS-2008), Varna, Bulgaria, vol. 1., September 2008 pp. 15-20.

45.  Cruz Cano, R. and Aizenberg I., "Soft Computing Methods for Prediction of Replication Origins in Caudoviruses", Proceedings of the 38th IEEE International Symposium on Multiple-Valued Logic (ISMVL-2008), IEEE Computer Society Press, May 2008, pp. 156-162.

46.  Zurada J. and Aizenberg I., “Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons”, in Springer Studies in Computational Intelligence, vol. 78, Proceedings of the 1st International Symposium on Intelligent and Distributed Computing IDC 2007, Craiova, Romania, October 2007, (C. Badica and M. Paprzycki -Eds.), Springer, Berlin, Heidelberg, New York, 2007, pp. 41-52.

47.  Aizenberg I. and Zurada J., "Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network based on Multi-Valued Neurons (MLMVN)", Proceedings of the International Conference on Artificial Neural Networks (ICANN-2007), Lecture Notes in Computer Science (J. Marques de Sá et al. -Eds.), vol. 4668, Part I, Springer, Berlin, Heidelberg, New York, 2007, pp. 874-883.

48.  Aizenberg I. and Moraga C., “The Genetic Code as a Multiple-Valued Function and its Implementation Using Multilayer Neural Network based on Multi-Valued Neurons”, Proceedings of the 37th IEEE International Symposium on Multiple-Valued Logic (ISMVL-2007), IEEE Computer Society Press, DOI 10.1109/ISMVL.2007.54 May 2007.

49.  Aizenberg I., Paliy D., and Astola J., "Multilayer Neural Network based on Multi-Valued Neurons and the Blur Identification Problem", 2006 IEEE World Congress on Computational Intelligence. Proceedings of the 2006 IEEE Joint Conference on Neural Networks, ISBN: 0-7803-9490-9, Vancouver, Canada, July 16-21, 2006, pp. 1200-1207.

50.  Aizenberg I., Ruusuvuori P., Yli-Harja O., and Astola J., "Multilayer neural network based on multi-valued neurons (MLMVN) applied to classification of microarray gene expression data", Proc. 4th TICSP Workshop on Computational Systems Biology (WCSB 2006), Tampere University of Technology, Finland, June 12-13, 2006, pp. 27-30.

51.  Aizenberg I., "Solving the Parity n Problem and other Nonlinearly Separable Problems Using a single Universal Binary Neuron", Advances in Soft Computing. Springer Series In book "Computational Intelligence, Theory and Application" (B. Reusch – Ed.) (Proceedings of the 9th International Conference on Computational Intelligence), Springer, Berlin, Heidelberg, New York, 2006, pp. 457-471.

52.  Aizenberg I., Paliy D., Moraga C. and Astola J., "Blur Identification Using Neural Network for Image Restoration", In book "Computational Intelligence, Theory and Application" (B. Reusch – Ed.) (Proceedings of the 9th International Conference on Computational Intelligence), Springer, Berlin, Heidelberg, New York, 2006, pp. 441-455.

53.  Aizenberg I., Moraga C. and Paliy D., "A Feedforward Neural Network based on Multi-Valued Neurons", In Computational Intelligence, Theory and Applications. Advances in Soft Computing , XIV, (B. Reusch - Ed.), Springer, Berlin, Heidelberg, New York, 2005, pp. 599-612.

54.  Aizenberg I., Astola J., Butakoff C., Egiazarian K. and Paliy D., "Effective Detection and Elimination of Impulsive Noise with a Minimal Image Smoothing", Proceedings of IEEE International Conference on Image Processing (ICIP'2003) vol.3, pp. 357-360, 2003.

55.  Aizenberg I., Bregin T., Butakoff C., Karnaukhov V., Merzlyakov N. and Milukova O., "Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration". Lecture Notes in Computer Science, Vol. 2415, Springer, 2002, pp. 1231-1236.

56.  Aizenberg I., Myasnikova E. and Samsonova M., “Application of the Neural Networks Based on Multi-Valued Neurons to Classification of the Images of Gene Expression Patterns”, Bio-inspired Applications of Connectionism, Lecture Notes in Computer Science (J.Mira, A.Prieto – Eds.), Vol. 2085, Springer, 2001, pp. 219-226.

57.  Aizenberg I., Aizenberg N., Butakoff C., “Neural Network Based on Multi-Valued Neurons: Application in Image Recognition, Type of Blur and Blur Parameters Identification”, Bio-inspired Applications of Connectionism, Lecture Notes in Computer Science, (J. Mira, A. Prieto - Eds.), Vol.2085 Springer 2001, pp. 254-261.

58.  Aizenberg I., Myasnikova E., Samsonova M., and Reinitz J., "Application of the Neural Networks Based on Multi-valued Neurons to Classification of the Images of Gene Expression Patterns". Computational Intelligence, Theory and Applications, International Conference, 7th Fuzzy Days, Dortmund, Germany, October 1-3, 2001, Proceedings. Lecture Notes in Computer Science, (B. Reusch - Ed.), Vol.2206, Springer, 2001, pp. 291-304.

59.  Aizenberg I., “Multi-Valued and Universal Binary Neurons: New Applications in Intelligent Image Processing”, Computational Intelligence: Theory and Applications, Lecture Notes in Computer Science (B.Reusch – Ed.), Vol. 2206, Springer, 2001, pp. 450-453.

60.  Aizenberg I., Aizenberg N., Butakov C. and Farberov E., “Image Recognition on the Neural Network based on Multi-Valued Neurons”, Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain September 3-8, 2000, IEEE Computer Society Press , vol. 2. pp. 993-996.

61.  Aizenberg I., Aizenberg N., Bregin T., Butakov C. and Farberov E., “Image Processing Using Cellular Neural Networks Based on Multi-Valued and Universal Binary Neurons”, Proceedings of IEEE 2000 International Workshop on Neural Networks for Signal Processing, Sydney, Australia, December 13-15, 2000, IEEE Computer Society Press, 2000, pp. 557-567.

62.  Aizenberg I.N., “Neural networks based on multi-valued and universal binary neurons: theory, application to image processing and recognition”, Lecture Notes in Computer Sciense, vol. 1625 (B. Reusch - Ed.), Springer, 1999, pp. 306-316.

63.  Aizenberg I.N. and Aizenberg N.N., “Pattern recognition using neural network based on multi-valued neurons”, Lecture Notes in Computer Sciense, vol. 1607-II (J. Mira, J.V. Sanches-Andres - Eds.), Springer, 1999, pp. 383-392.

64.  Aizenberg I.N., Aizenberg N.N. and Krivosheev G.A.,“Multi-valued and universal binary neurons: learning algorithms, application to image processing and recognition”, Lecture Notes in Artificial Intelligence, vol. 1715 (P.Perner, M.Petrou - Eds.), Springer, 1999, pp. 21-35.

65.  Hiltner J., Aizenberg I., Meyer zu Bexten E., Moraga C., “Neural Networks and Fuzzy Logic in Medical Image Processing”, Proceedings Int. Conference on Neural Nets, Fuzzy Systems and Soft Computing, Iizuka, Japan, October, 1998 pp. 325-328.

66.  Aizenberg I.N., Aizenberg N.N., Moraga C. and Meyer zu Bexten E,. “CNN algorithms for medical image processing”, Proceedings Sixth European Congress on Intelligent Techniques and Soft Computing EUFIT'98, Wissenschaftsverlag Aachen, ISBN 3-89653-187-5, September, 1998, pp. 1311-1315.

67.  Aizenberg I.N., Aizenberg N.N., Gotko E.S. and Vandewalle J. ,“Ultrasound medical image processing using cellular neural networks”, Proc. of the 6th European Symposium on Artificial Neural Networks, Brugge, Belgium, April 22-24, 1998, D-facto publications, Brussels, 1998, pp. 315-320.

68.  Aizenberg I.N., Aizenberg N.N., Astola J. and Egiazarian K., “Solution of the super-resolution problem through extrapolation of the orthogonal spectra using multi-valued technique”, Proceedings of the IX European Signal Processing Conference (EUSIPCO’98), Island of Rodhos, Greece, September, 1998. Vol. III “Theories and Applications”, pp. 1761-1764.

69.  Aizenberg I.N., Aizenberg N.N., Oktem R. and Egiazarian K., "Transform Domain Denoising Using Nonlinear Filtering and Cellular Neural Networks", Proceedings of the IEEE International Conference on image processing (ICIP'98), October 4-7 1998, Illinois, USA, Vol. II, pp. 862-866.

70.  Aizenberg I.N., Aizenberg N.N. and Vandewalle J., “Solution of the super-resolution problem by multi-valued non-linear filtering and its implementation using cellular neural networks”, Proc. of the Fifth IEEE International Workshop on Cellular Neural Networks and their Applications, London, UK, April 14-17, 1998, pp. 353-358.

71.  Aizenberg I.N., Aizenberg N.N. and Vandewalle J., “Precise edge detection: representation by Boolean functions, implementation on the CNN”, Proc. of the Fifth IEEE International Workshop on Cellular Neural Networks and their Applications, London, UK, April 14-17, 1998, pp. 301-306.

72.  Aizenberg,I.N. and Aizenberg N.N., “Universal binary and multi-valued neurons paradigm: conception, learning, applications”, Lecture Notes in Computer Sciense, vol. 1240 (J. Mira, R. Moreno-Diaz, J. Cabestany - Eds.), Springer-Verlag, 1997, pp. 463-472.

73.  Aizenberg N.N., AizenbergI.N. and Krivosheev G.A., “Multi-Valued and Universal Binary Neurons : Mathematical Model, Learning, Networks , Application to Image Processing and Pattern Recognition ”, Proc. of the 13-th International Conference on Pattern Recognition, Vienna, Austria, August 25-30, 1996, track D, IEEE Computer Society Press, pp.185-189.

74.  Aizenberg N.N., AizenbergI.N. and Krivosheev G.A., "CNN based on Universal Binary Neurons: Learning algorithm with Error-Correction and Application to Impulsive-Noise Filtering on Gray-Scale Images”, Proc. of the Fourth International Workshop on Cellular Neural Networks and their Applications, Seville, Spain, June 24-26, 1996, IEEE 96TH8180, pp. 309-314.

75.  Aizenberg I.N., “Extraction of the Small Details on Noisy Images and their Sharpening: Implementation on the CNN”, Proc. of the Fourth International Workshop on Cellular Neural Networks and their Applications, Seville, Spain, June 24-26, 1996, IEEE 96TH8180, pp. 31-36.

76.  Aizenberg N.N., AizenbergI.N. and Krivosheev G.A., "Multi-Valued Neurons: Learning, Networks, Application to Image Recognition and Extrapolation of Temporal Series", Lecture Notes in Computer Science, vol. 930 (J.Mira, F.Sandoval - Eds.), Springer-Verlag, 1995,pp.389-395.

77.  Aizenberg N.N. and Aizenberg I.N., "Fast Converged Learning Algorithms for Multi-Level and Universal Binary Neurons and Solving of the some image processing problems", Lecture Notes in Computer Science, (J.Mira, J.Cabestany, A.Prieto, Eds.) vol. 686, Springer-Verlag, 1993, pp. 230-236.

78.  Aizenberg N.N. and Aizenberg I.N., "CNN-like Networks Based on Multi-Valued and Universal Binary Neurons: Learning and Application to Image Processing", Proc. of the Third IEEE International Workshop on  Cellular Neural Networks and their Applications, Rome, Italy, December 18-21, 1994, IEEE 94TH0693-2, pp. 153-158.

79.  Aizenberg N.N., Aizenberg I.N. and Belikova T.P., "Extraction and Localization of Important Features on Gray-Scale Images: Implementation on the CNN", Proc. of the Third IEEE International Workshop on Cellular Neural Networks and their Applications, Rome, Italy, December 18-21, 1994, IEEE 94TH0693-2, pp. 207-212.

80.  Aizenberg N.N. and Aizenberg I.N., "CNN Based on Multi-Valued Neuron as a Model of Associative Memory for Gray-Scale Images", Proceedings of the Second IEEE International Workshop on Cellular Neural Networks and their Applications, Technical University Munich, Germany October 14-16, 1992, IEEE 92TH0498-6, ISBN 0-7803-875-1, pp.36-41.

 

OTHER CONFERENCE PROCEEDINGS, BOOK CHAPTERS AND RESEARCH REPORTS

 

81.  Aizenberg I., "Multi-Valued and Universal Binary Neurons: New Solutions in Neural Networks", Proc. of the Berkeley Initiative in Soft Computing 2005 (BISC'05), Special Event in Honor of Prof. Lotfi A. Zadeh, November 2-5, 2005 University of California, Berkeley, published on-line at http://www-bisc.cs.berkeley.edu/BISCSE2005/Abstracts_Proceeding/Thursday/TM2/Igor_Aizenbergr.pdf .

82.  Aizenberg I., Advances in Neural Networks. Class notes for the graduate course. University of Dortmund. 2005.

83.  Aizenberg I. and Moraga C., "Multi-Layered Neural Network based on Multi-Valued Neurons (MLMVN) and a Backpropagation Learning Algorithm", Technical Report No CI 171/04 (ISSN 1433-3325) of the Collaborative Research Center for Computational Intelligence of the University of Dortmund (SFB 531), available online at http://sfbci.cs.uni-dortmund.de/Publications/Reference/Downloads/17104.pdf , 2004.

84.  Aizenberg I., Astola J., Bregin T., Butakoff C., Egiazarian K. and Paliy D., “Detectors of the impulsive noise and new effective filters for impulsive noise reduction”, SPIE Proceedings Vol. 5014, pp. 419-428, 2003.

85.  Aizenberg I. and Butakoff C., “Frequency Domain Median-like Filter for Periodic and Quasi-Periodic Noise Removal”, SPIE Proceedings Vol. 4667 Image Processing: Algorithms and Systems, 2002, pp. 181-191.

86.  Aizenberg I., Butakoff C., Karnaukhov V., Merzlyakov N. and Milukova O., “Blurred Image Restoration Using the Type of Blur and Blur Parameters Identification on the Neural Network”, SPIE Proceedings vol. 4667 Image Processing: Algorithms and Systems, 2002, pp. 460-471.

87.  Aizenberg I., Butakoff C., Myasnikova E., Samsonova M., and Reinitz J., “Classification of the Images of Gene Expression Patterns Using Neural Network Based on Multi-Valued Neurons with the Minimal Number of Inputs”, Applications of Artificial Neural Networks in Image Processing VII, SPIE Proceedings vol. 4668, 2002, (Nasser M. Nasrabadi; Aggelos K. Katsaggelos; Eds), pp. 10-19.

88.  Aizenberg I., Bregin T. and Paliy D., “New Method for the Impulsive Noise Filtering Using its Preliminary Detection”, SPIE Proceedings Vol. 4667 Image Processing: Algorithms and Systems, 2002, pp. 204-214.

89.  Aizenberg I., Butakoff C., Astola J. and Egiazarian K., Nonlinear Frequency Domain Filter for the Quasi-Periodic Noise Removal", Proceedings of International TICSP Workshop on Spectral Methods and Multirate Signal Processing, SMMSP'2002 (K.Egiazarian, T.Saramaki, J.Astola – Eds.), TICSP Series #17, 2002, pp. 147-153.

90.  Aizenberg I., Aizenberg N., Bregin T., “New Nonlinear Combined Spatial-Frequency Domain Filtering for Noise Reduction and Image Enhancement”, SPIE Proceedings, Vol. 4304, 2001, pp. 221-231.

91.  Aizenberg I., Butakoff C., “Neural network based on multi-valued neurons and its application to image recognition and blur recognition”, SPIE Proceedings, Vol. 4305, 2001, pp. 11-21.

92.  Aizenberg N., Aizenberg I., Stankovic M, Stankovic R., Astola J., and Egiazarian K., "Calculation of Golden Fibonacci Transforms", Proceedings of International TICSP Workshop on Spectral Methods and Multirate Signal Processing, SMMSP'2001 (T.Saramaki, K.Egiazarian, J.Astola – Eds.), TICSP Series #13, 2001, pp. 25-32.

93.  Karnaukhov A., Merzlyakov N., Milyukova O., Wenger E, Aizenberg I. and Karnaukhov V., Digital Restoration of Watermark Images. Proceedings of EVA’01, Moscow, Centre PIC of Ministry Culture of Russia, STG, Moscow, 2001, pp. 196-199.

94.  Aizenberg I.N., Aizenberg N.N., Astola J., Bregin T., Butakov C. and Egiazarian K., “New applications of the Nonlinear Cellular Neural Filters in Image Processing”, SPIE Proceedings, Vol. 3961, 2000, pp.45-56.

95.  Aizenberg I.N., Aizenberg N.N., Agaian S., Astola J. and Egiazarian K., “Nonlinear cellular neural filtering for noise reduction and extraction of image details”, SPIE Proceedings, Vol. 3646, 1999, pp.100-111.

96.  Aizenberg I.N., Aizenberg N.N., Bregin T.R., Butakoff C.V. and Farberov E., “Application of the nonlinear cellular neural filters for noise reduction, extraction of image details, edge detection and solution of the super-resolution problem”, Proceedings of the 11th International Meeting on Electo-optics and Microelectronics in Israel, November 9-11, 1999 (R.Lavi, E.Azoulay – Eds.), Bristol/Philadelphia: Institute of Physics Publishing, 1999, pp. 239-241.

97.  Aizenberg I.N., “Some image processing algorithms based on neural networks technology”, SPIE Proceedings, Vol. 3402, 1998, pp. 382-391.

98.  Aizenberg I.N. and Aizenberg N.N., “Application of the neural networks based on multi-valued neurons in image processing and recognition”, SPIE Proceedings, vol. 3307, 1998, pp. 88-97.

99.  Aizenberg I.N., Aizenberg N.N., Astola J and Egiazarian K., “An introduction to algebraic theory of discrete signals”, Proceedings Of International Workshop on Transforms Filter Banks, Tampere, Finland TICSP Series #1, February, 1998, pp. 70–94.

100.                      Aizenberg I.N., Aizenberg N.N., Astola J. and Egiazarian K., Binary polynomial transforms with applications in technical diagnostics and signal processing”, Proceedings Of International Workshop on Transforms Filter Banks, Tampere, Finland TICSP Series #1, February, 1998, pp. 197–225.

101.                      Aizenberg I.N. and Vandewalle J., “Multi-valued nonlinear filters, multi-valued neurons and their application to extrapolation of the orthogonal spectra”, Proceedings of the IEEE Benelux Signal Processing Symposium SPS-98, Leuven, Belgium, March, 1998, pp. 15-18.

102.                      Aizenberg I.N., Aizenberg N.N., Gotko E.S. and Sochka V.A., “Medical image processing using neural networks based on multi-valued and universal binary neurons”, SPIE Proceedings, Vol. 3338, pp. 893-903, June 1998.

103.                       Aizenberg I.N., Aizenberg N.N., Astola J. and Egiazarian K., “On generalized discrete Fresnel Transforms”, Proceedings of IEEE Nordic Signal Processing Symposium (NORSIG-98), Vigso (Denmark), pp. 129-132, June, 1998.

104.                      Aizenberg I.N., Aizenberg N.N., Astola J. and Egiazarian K., “Cellular Neural filters based on universal binary neurons”, Proceedings of IEEE Nordic Signal Processing Symposium (NORSIG-98), Vigso (Denmark), pp. 141-144, June, 1998.

105.                      Alieva, T., Aizenberg, I. N. and Barbe, A., "Optical self-fractional Fourier signals", SPIE Proceedings, vol. 3490, 1998, pp. 457-460.

106.                      Aizenberg I.N., “Multi-valued non-linear filters and their implementation on cellular neural networks”, Frontiers in Artificial Intelligence and Applications, vol. 41 “Advances in Intelligent Systems” (F.C.Morabito - Ed.) IOS Press, Amsterdam-Berlin-Oxford-Tokyo-Washington DC, 1997, pp. 135-140.

107.   Aizenberg I.N. and Vandewalle J., “Application of the neural networks from multi-valued neurons for solution of pattern recognition and non-linear filtering problems”, Proceedings of Int. Workshop “Digital metodologies and applications for multi-media and signal processing” (DMMS’97), Budapest, October, 27-28, 1997, Panem-Press, Budapest, pp. 27-36, 1997.

108.   Aizenberg N.N. and Aizenberg I.N., “Application of the fast spectral transformations For search of the tests - Objects of the technical diagnostics” Proc. of the Int. Conf. “Noise and vibration in living and working environment” (Belgrade, Yugoslavia, 1996).

109.   Aizenberg N.N. and Aizenberg I.N., "Neural Networks based on Universal and Multi-Valued Neurons and their application to solving of the some problems of Image Processing and Pattern Recognition", Proc. of the "COST 229" Int. Workshop on Adaptive Systems, Intelligent Approaches, Massively Parallel Computing and Emergent Techniques in Signal Processing and Communications", Bayona (Vigo), Oct. 1994, Publication of the University of Vigo and Politechnico de Madrid, pp. 223-228.

110.   Aizenberg N.N., Aizenberg I.N. and Pyshnyi M.Ph., "Multi-valued and Universal Basic Elements for CNN: Mathematical Model and Hardware Implementation", Proc. of the 3-d International Conference "Microelectronics for Neural Networks", Edinburgh, UK, April, 1993, pp. 91-96.

111.   Aizenberg N.N. and Aizenberg I.N., "Model of the Neural Network Basic Elemets (Cells) with Universal Functionality and various of Harware Implementation", Proc. of the 2-nd International Conference "Microelectronics for Neural Networks", Kyrill & Methody Verlag, Munich, 1991, pp. 77-83.

112.   Aizenberg N.N. and Aizenberg I.N. ,"The Universal Neural-like Logical Elements in Pattern Recognition and Digital Image Processing", Proc.of the 1-st Int. Conf. on Information Technologies for Image Analysis and Pattern Recognition, Lvov, 1990, vol.2, pp. 141-145.

113.   Aizenberg I.N. and Yaroslavsky L.P., "Implementation of the Two-stage Method of Digital Picture Coding by One-Dimensional Cosine Transform", Proc. of the Third Int. Conf. on Image Processing and Pattern Recognition, London, IEE, 1989, pp.546-547.

114.   Aizenberg I.N., "Some Problems of the Theory of Discrete Signals Related to the Notion of the Fresnel Function", "Pribori i Metody Avtomatizacii Experimentalnih Issledovanii" ("Devices and Methods for Automation of Experimental Research"), Dnepropetrovsk, Publisher House of the Dnepropetrovsk State University, 1986, pp.106-109 (in Russian).

 

Patents:

 

115. Aizenberg N.N., Aizenberg I.N. and Krivosheev G.A., “Method of Information Processing” Patent of Russia No 2103737, G06 K 9/00, G 06 F 17/10, priority date 23.12.1994.

116. Aizenberg N.N. and Aizenberg I.N., "Three-input universal neural element" Patent of Malta, Form E Warrant No. 1083, H 03 K 19/23, priority date 24.04.1992.

117. Aizenberg N.N. and Aizenberg I.N., "Method of Information Encryption" Patent of Malta, Form E Warrant No. 1082, G 06 F 17/10, priority date 15.10.1991.

118. Aizenberg N.N., Aizenberg I.N., Gavrikov V.A., Pilugin S.V. and Junickii G.S., “Logical element” Patent of the USSR No 1343550, H 03 K 19/23, priority date 2.07.1985.

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