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  Dr. Andrzej Cichocki 

Laboratory for Advanced Brain Signal Processing
Brain Science Institute
RIKEN

2-1 Hirosawa, Wako-shi,
Saitama, 351-0198,
Japan
Phone:
Fax:
E-mail:
+81-48-467-9668
+81-48-467-9686
 
Dr. Andrzej Cichocki's List of Publications
 



Monographs, Invited Book Chapters and Textbooks:



  1. A. Cichocki, R. Zdunek, A.-H. Phan, and S. Amari: Nonnegative Matrix and Tensor  Factorizations: Applications to Exploratory Multi-way Data Analysis, John Wiley, ISBN: 978-0-470-74666-0, (552 pages), November 2009, links to exemplary chater and publisher.
  2. A. Cichocki and S. Amari: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications April 2002, John Wiley, ISBN: 0-471-60791-6, links to: book's page, publisher and online bookstore.
  3. S. Amari, A. Cichocki and H.H. Yang: Blind Signal Separation and Extraction - Neural and Information Theoretic Approaches, in the book Unsupervised Adaptive Filtering, S. Haykin (Editor), John Wiley, 2000, Vol. 1, pp. 63-138.
  4. A. Cichocki and R. Unbehauen: Neural Networks for Optimization and Signal Processing, (Corrected and extended edition), John Wiley, Nov. 1994.
  5. R. Unbehauen and A. Cichocki: MOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems, Springer Verlag, New York 1989, (631 pages).
  6. A. Cichocki: Synthesis of Nonlinear Networks Using Operational Amplifiers and Adjustable Controlled Elements, (Habilitation- Dr.Sc. Thesis Warsaw University of Technology 1982 (in Polish Language "Synteza Ukladow Nieliniowych przy Uzyciu Wzmacniaczy Operacyjnych i Elementow Sterowanych", Wyd. Politechniki Warszawskiej, 1982).


Technical Reports:


  1. S. Amari, S.C. Douglas, and A. Cichocki: Multichannel Blind Deconvolution and Source Separation with the Natural Gradient, Technical Report No. EE-99-002, Dept. of Electrical Engineering, Southern Methodist University, Dallas, TX, January 1999.
  2. S.C. Douglas, A. Cichocki, and S. Amari: Self-Whitening Adaptive Equalization and Deconvolution Algorithms, Technical Report No. EE-99-001, Dept. of Electrical Engineering, Southern Methodist University, Dallas, TX, January 1999


Textbooks in Polish:


  1. A. Cichocki, S. Osowski and H. Rawa: Podstawy elektrotechniki, cz. I Teoria obwodow, Wydawnictwa Politechniki Warszawskiej, 1980.
  2. A. Cichocki, K. Mikolajuk, S. Osowski, and Z. Trzaska: Zbior zadan z teorii obwodow, Wydawnictwa Politechniki Warszawskiej, 1978.
  3. A. Cichocki, K. Mikolajuk, S. Osowski, H. Rawa, and Z. Trzaska: Cwiczenia laboratoryjne z obwodow elektrycznych, Wydawnictwa Politechniki Warszawskiej, 1976.


Refereed International Journal Publications
:


    1976
  1. A. Cichocki and S. Osowski: Synthesis of an arbitrary voltage transfer function, Int. J. of Electronics, 1976, vol. 41, no. 1.
  2. A. Cichocki and S. Osowski: Analysis of active ladder network by using Coates flow graphs and continuants, Int. J. for Numerical Methods in Engineering , 1977, vol. 11, pp. 900 - 904.
  3. A. Cichocki and S. Osowski: Synthesis of rational transfer matrices with active RC networks, Int. J. of Electronics, 1977, vol. 42, no. 3.
  4. A. Cichocki and S. Osowski, and S. Filipowicz: Unified active structure for an arbitrary 2-port network realization, Electronics Letters, 1977, vol. 13, no. 11.
  5. A. Cichocki and S. Osowski: Matrix continuants, some properties and applications, AEU, 1977, vol. 31, Heft 10.
  6. A. Cichocki and S. Osowski: Analysis of cascade connection of non-alike 2-ports, IEEE Trans. on CAS, 1977, vol. 24, no. 5. 
1978
  1. A. Cichocki, S. Osowski and S. Filipowicz: Analogue simulation of the nonlinear transfer characteristics, IEE Proc. Electronic Circuits and Systems, 1978, vol. 2, no. 1.
  2. A. Cichocki and S. Osowski: Some explicit formulas for the cascade of nonreciprocal 2-ports, Alta Frequenza, 1978, vol. 47, no. 7.
  3. A. Cichocki and S. Osowski: Matrix Coates flow graphs, IEE Proc. Electronic Circuits and Systems, 1978, vol. 2, no. 6.
  4. A. Cichocki and S. Osowski: Analysis of active networks using flow graph technique, Electronics Letters, 1978, vol. 14, no. 7.
  5. A. Cichocki and S. Osowski: Synthesis of active multiport network transfer function, Electronics Letters, 1978, vol. 14, no. 20.
  6. A. Cichocki and S. Osowski: Synthesis of hybrid matrix of the general active RC N-port, AEU, 1978, vol. 32, h. 2.
  7. S. Osowski and A. Cichocki: Issledowanije obobszczonnych kaskadnych schiem, (in Russian) Radiotechnika i Elektronika, 1978, t. 23, no. 6.
1979
  1. A. Cichocki and S. Osowski: Synthesis of N-port network by a matrix continuants, Int. J. Circuit Theory and Applications, 1979, vol. 77, pp. 77- 86.
1980
  1. A. Cichocki and S. Osowski: Metoda rozszerzania i jej zastosowanie w analizie i syntezie N-wrotnikow, (in Polish), Archiwum Elektrotechniki , 1980, t. 29, z. 1.
1981
  1. A. Cichocki: Synthesis of nonlinear functions using continued fraction technique, Electronics Letters, vol. 16, no. 11, 1981, pp. 431-432.
1982
  1. A. Cichocki: Nested-feedback loops realization of 2-D systems Journal of Circuits Systems and Signal Processing, vol. 1, no. 3-4, 1982, pp. 321-343.
1983
  1. A. Cichocki: A sinusoidal frequency multiplying and dividing technique, Int. Journal of Electronics, vol. 54, no. 3, 1983, pp. 427-436.
1985
  1. A. Cichocki and R. Unbehauen: Equivalent transformation of ladder-type networks, NTZ Archiv, Band 7, H.11, 1985. pp. 125-284.
  2. A. Cichocki and R. Unbehauen: Novel switched-capacitor generalized integrator, Electronics Letters, vol. 21, 1985, pp. 158-159.
  3. A. Cichocki and R. Unbehauen: Design of precision switched-capacitor generalized integrator and their application to the synthesis of nonlinear networks, Proc. IEE Electronic Circuits and Systems, Part G, vol. 132, 1985
1986
  1. A. Cichocki and R. Unbehauen: A novel switched-capacitor four-quadrant multiplier-divider and some of its applications, IEEE Trans. Instrumentation and Measurement, vol.IM-35, no.2, 1986, pp. 156-162.
  2. A. Cichocki, F. Strauss, and R. Unbehauen: Realization of arbitrary linear resistive multiports using a switched-capacitor technique, International Journal of Electronics, vol. 60, no. 4, 1986, pp. 463-480.
  3. A. Cichocki and R. Unbehauen: MOS SC microsystem for generating of trigonometric functions and their inverses, Electronics Letters, vol. 22, no. 20, 1986, pp. 1056-1057.
  4. R. Unbehauen and A. Cichocki: Ein Beitrag zur Synthese von SC -Netzwerken zur linearen und nichtlinearen Signalverabeitung, (in German), NTZ Archiv , Bd.8, H.11, 1986, pp. 271-286.
1987
  1. A. Cichocki and R. Unbehauen: Simplified analysis of arbitrary switched - capacitor networks, IEE Proc., vol. 134, Pt.G, no. 1, 1987, pp. 45-53.
1988
  1. A. Cichocki and R. Unbehauen: Logarithmic and exponential switched - capacitor converters and some of their applications, IEE Proceedings Circuits and Systems, vol. 135, Pt.G, no. 2, 1988, pp. 58-64.
  2. A. Cichocki and R. Unbehauen: Monolithic MOS switched capacitor microsystems for nonlinear signal processing, IEEE Transaction on Instrumentation and Measurement, vol. 37, no. 1, March 1988, pp. 18-24.
  3. S. Osowski, A. Cichocki, and S. Filipowicz: Some aspects of nonlinear function simulation, Rozprawy Elektrotechniki, 1988, vol. XXXIV, pp. 803-818.
  4. A. Cichocki and R. Unbehauen: Switched-capacitor function generators, Int. J. Electronics, vol. 64, no. 3, 1988, pp. 359-375.
1989
  1. A. Cichocki and R Unbehauen: Technique for compensation of errors in analogue multipliers, Electronics Letters, vol. 25, no. 5, 1989, pp. 305-307.
1990
  1. A. Cichocki and R. Unbehauen: Switched-capacitor interface for capacitive sensors based on relaxation oscillators, IEEE Trans. on Instrumentation and Measurement, Oct.1990, vol. IM-39, no. 5, pp. 797-799.
  2. A. Cichocki and R. Unbehauen: Application of switched capacitor self-oscillating circuits to the conversion of R,L,C parameters into a frequency or digital signal, Int. Journal of Sensors and Actuators, July 1990, vol. A 24, pp. 129-137.
1991
  1. S. Osowski, A. Cichocki and S. Filipowicz: Synteza i projektowanie ukladow nieliniowych,(in Polish), Archiwum Elektrotechniki, 1991, t. XL, ss. 83-86.
  2. A. Cichocki and R. Unbehauen: Switched-capacitor neural networks for differential optimization, Int. Journal of Circuit Theory and Applications , vol. 19, 1991, pp. 161-187.
  3. A. Cichocki and R. Unbehauen: Switched-capacitor transducers with digital or duty-cycle output based on pulse-width modulation technique, Int. Journal of Electronics, vol. 71, no. 2, 1991, pp. 265-278.
1992
  1. A. Cichocki: Neural network for singular value decomposition, Electronics Letters, vol. 28, no. 8, 1992, pp. 784-786.
  2. A. Cichocki and R. Unbehauen: Neural networks for computing eigenvalues and eigenvectors, Biological Cybernetics, vol. 68 1992, pp. 155-164.
  3. A. Cichocki and R. Unbehauen: Neural networks for solving systems of linear equations and related problems, IEEE Trans. on Circuits and Systems-I, vol. 39, no. 2, Feb. 1992, pp. 124-138.
  4. A. Cichocki and R. Unbehauen: Neural networks for solving systems of linear equations - Part II, IEEE Trans. on Circuits and Systems Analog and Digital Signal Processing, vol. 39, no. 9 Sept. 1992, pp. 619-633.
  5. A. Cichocki and L. Moszczynski: New learning algorithm for blind separation of sources, Electronics Letters, vol. 28, no. 21, Oct.1992, pp. 1986-1988.
  6. A. Cichocki and T. Lobos: Adaptive analogue network for real-time estimation of basic waveforms of voltages and currents, IEE Proc.C , vol. 139, no. 4, July 1992, pp. 343-350.
  7. A. Cichocki, T. Kaczorek and A. Stajniak: Computation of Drazin inverse of singular matrix by using neural networks, Bulletin of Polish Academy of Science, vol.40, no. 4, 1992, pp. 387-394.
  8. A. Cichocki and T. Kaczorek: Neural-type structured networks for solving algebraic Riccati equations, Archives of Control Science, vol. 1, No.3-4, 1992, pp. 153-165.
1993
  1. A. Cichocki and R. Unbehauen: Robust estimation of principal components in real time, Electronics Letters, vol. 29, no. 21, 1993, pp. 1869-1870
1994
  1. A. Cichocki and T. Lobos: Artificial neural networks for real - estimation of basic waveforms of voltages and currents, IEEE Transactions on Power Systems, vol. 9, no. 2, May 1994, pp. 612-618.
  2. A. Cichocki, R. Unbehauen: and E. Rummert, Robust learning algorithm for blind separation of signals, Electronics Letters, vol. 30, no. 17, Aug.1994, pp. 1386-1387.
  3. A. Cichocki and T. Kaczorek: Applications of neural - type structured networks for solving algebraic matrix equations and computation of Drazin inverse, Applied Mathematics and Computer Science, vol. 4, no. 3, 1994, pp. 309-330.
  4. A. Cichocki and R. Unbehauen: Simplified neural networks for solving linear least squares and total least squares problems in real-time, IEEE Transactions on Neural Networks, vol.5, no. 6, Nov. 1994, pp. 910-923.
1995
  1. A. Cichocki, R. Unbehauen, M. Lendl and K. Weinzierl: Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction, Neurocomputing, vol. 8, 1995, Elsevier Science B.V., pp. 7-41.
  2. A. Cichocki, T. Kaczorek and J. Mazurek: Analog neural networks for solving in real-time linear inverse and total least squares problems, Journal of Applied Mathematics and Computation Science, vol. 5, 1995, No.1, PAS Publ. Wroclaw, Poland, pp. 105-138.
1996
  1. S. Amari, A. Cichocki and H.H Yang: A new learning algorithm for blind signal separation, Advances in Neural Information Processing Systems 1995 , vol. 8, MIT Press, Cambridge MA, 1996, 757-763.
  2. A. Cichocki and R. Unbehauen: Robust neural networks with on-line learning for blind identification and blind separation of sources, IEEE Trans. on Circuits and Systems - I: Fundamental Theory and Applications , vol. 43, Nov. 1996, pp. 894-906.
  3. A. Cichocki, W. Kasprzak: Nonlinear learning algorithms for blind separation of natural images , Neural Network World, vol. 6, 1996, No.4, IDG Co., Prague, pp. 515-523. [.pdf]
  4. A. Cichocki, R. Unbehauen, K. Weinzierl, R. Hoelzel: A new neural network for solving linear programming problems, European Journal of Operational Research, Elsevier Science B.V., The Netherlands, vol. 9, 1996, pp. 244-256.
  5. S.C. Douglas, A. Cichocki and S. Amari: Fast-convergence filtered regressor algorithms for blind equalization , Electronics Letters, vol.32, No.23, Nov.1996, pp. 2114-2115. [.pdf]
  6. W. Skarbek, A. Cichocki: Image Associative memory by recurrent neural subnetworks , IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences , IEICE Publ., Tokyo, vol. E79-A, (10) 1996, pp. 1638-1646. [.pdf]
  7. W. Skarbek, A. Cichocki: W. Kasprzak: Principal subspace analysis for incomplete image data in one learning epoch , Neural Network World, vol. 6 (1996), No.3, IDG Co., Prague, pp. 375-382. [.pdf]
  8. W. Skarbek and A. Cichocki: Robust image association by recurrent neural networks, Neural Processing Letters, Kluwer Academic Publishers, NL, vol.3, No.3, 1996, pp. 131-138. [.pdf]
1997
  1. S. Amari, T.-P. Chen, and A. Cichocki: Stability analysis of adaptive blind source separation , Neural Networks, vol.10, No.8, 1997, pp. 1345-1351. [.pdf]
  2. S. Choi, S. Amari and A. Cichocki: Natural gradient learning algorithms for decorrelation, in Progress in Connectionist-based Information Systems , N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds, vol. 1, 1997, pp. 645-648.
  3. S. Choi, A. Cichocki and S. Amari: Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach, in Progress in Connectionist-based Information Systems, N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds, vol. 1, 1997, pp. 641-644.
  4. S. Choi and A. Cichocki: Blind signal deconvolution by spatio-temporal decorrelation and demixing, in Neural Networks for Signal Processing 7 , J. Principe, L. Gile, N. Morgan, and E. Wilson, eds, 1997, pp. 426-435.
  5. A. Cichocki, R. Thawonmas and S. Amari: Sequential blind signal extraction in order specified by stochastic properties , Electronics Letters, vol.33, No.1, Jan. 1997, pp. 64-65. [.pdf]
  6. A. Cichocki, R.E. Bogner, L. Moszczynski and K. Pope: Modified Herault-Jutten algorithms for blind separation of sources, Digital Signal Processing , vol.7, No.2, April 1997, pp. 80-93.
  7. A. Cichocki and A. Bargiela: Neural networks for solving linear inequality systems, Int. Journal of Parallel Computing, vol. 22, 1997, pp. 1455-1475.
  8. A. Cichocki, S. Amari and J. Cao: Neural network models for blind separation of time delayed and convolved signals, IEICE Transactions on Fundamentals of Electronics, Communications Computer Sciences, vol. E80-A, No. 9, 1997, pp. 1595-1603.
  9. S.C. Douglas and A. Cichocki: Neural networks for blind decorrelation of signals, IEEE Trans, on Signal Processing, vol. 45, No, 11, Nov. 1997, pp. 2829-2842. [.pdf]
  10. S.C. Douglas and A. Cichocki: On-Line Step Size Selection for Training Adaptive Systems, IEEE Signal Processing Magazine, Vol. 14, No. 6, November 1997,  pp. 45-46.
  11. J. Karhunen, A. Cichocki, W. Kasprzak, and P. Pajunen: On neural blind separation with noise suppression and redundancy reduction, in Int. J. of Neural Systems, vol.8, No.2, April 1997, pp. 219-237.
  12. W. Kasprzak, A. Cichocki and S. Amari: Blind source separation with convolutive noise cancellation, Journal of Neural Computing and Applications , vol. 3, No. 6, Nov. 1997, pp. 127-141.
  13. F.-L. Luo, R. Unbehauen and A. Cichocki: A minor component analysis algorithm, Neural Networks, vol.10, No.2, March 1997, pp. 291-297.
  14. S. Osowski and A. Cichocki: Ladder network design through optimization, Bull. of Polish Academy of Sciences, 1997, Vol. 45, pp. 403 - 415
1998
  1. S. Amari and A. Cichocki: Adaptive blind signal processing - neural network approaches, Proceedings IEEE (invited paper), vol.86, No.10, Oct. 1998, pp.2026-2048.
  2. S. Choi and A. Cichocki: Cascade neural networks for multichannel blind deconvolution, Electronics Letters, vol. 34, No. 12, 1998, pp. 1186-1187. [.pdf]
  3. S. Choi, R.-W. Liu, and A. Cichocki: A spurious equilibria-free learning algorithm for the blind separation of non-zero skewness signals , Neural Processing Letters, vol.7, no. 2, Jan. 1998, pp. 61-68. [.pdf]
  4. A. Cichocki: Blind identification and separation of noisy source signals - neural networks approaches, ISCIE Journal, Japan, 1998, vol.42, No.2, 1998, pp. 63-73.
  5. A. Cichocki, S. Douglas, and S. Amari: Robust techniques for independent component analysis (ICA) with noisy data, Neurocomputing, vol. 22, 1998, pp. 113-129.
  6. A.Cichocki and J. Cao: A self-adaptive neural network for on-line blind separation of convolved sources: Topics on Non-destructive Evaluation Series, Eds. B. B. Djordjevic and H. D. Reis, vol. 3, The American Society for Non-destructive Evaluation Testing, Inc., ISBN 1-57117-074-X, 1998, pp. 207-212.
  7. A. Cichocki, P. Kostyla, T Lobos and Z. Waclawek: Neural networks for real-time estimation of parameters of signals in power systems, Int Journal of Engineering Intelligent Systems for Electrical Engineering and Communication, Vol. 6, No. 3, 1998, pp. 131- 140.
  8. S.C. Douglas, A. Cichocki, and S. Amari: A bias removal technique for blind source separation with noisy measurements, Electronics Letters, Vol. 34, No. 14, 9 July 1998, pp. 1379-1380. [.pdf]
  9. M. Girolami, A. Cichocki and S. Amari: A common neural network model for unsupervised exploratory data analysis and independent component analysis , IEEE Trans. on Neural Networks, vol. 9, No. 6, 1998, pp. 1495-1501. [.pdf]
  10. R. Thawonmas, A. Cichocki, and S. Amari: A Cascade neural network for blind signal extraction without spurious equilibria , IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, vol. E81-A, No. 9, September 1998, pp. 1833-1846. [.pdf]
  11. H.H. Yang, S. Amari and A. Cichocki: Information-theoretic approach to blind separation of sources in non-linear mixture, Signal Processing , vol.64, No.3, 1998, pp. 291-300
1999
  1. S. Amari, T.-P. Chen, and A. Cichocki: Non-holonomic constraints in learning algorithms for blind source separation, Neural Computation , 1999, (accepted -in press).
  2. S. Amari, S.C. Douglas, and A. Cichocki: Multichannel Blind Deconvolution and Source Separation with the Natural Gradient, Technical Report No. EE-99-002, Dept. of Electrical Engineering, Southern Methodist University, Dallas, TX, January 1999.
  3. S. Choi and A. Cichocki: An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment, Journal of Communications and Networks, Vol. 1, No. 1, March 1999, pp. 19-25. [.pdf]
  4. S. Choi and A. Cichocki: Hybrid learning approach to blind deconvolution of linear MIMO systems, Electronics Letters, Vol. 35, No. 17, 1999, pp. 1429-1430. [.pdf]
  5. A. Cichocki, J. Cao, S. Amari, N. Murata, T. Takeda, and H. Endo: Enhancement of Magnetoencephalographic signals using independent component analysis, In the book: Recent Advances in Biomagnetism, Proc.11th Int. Conf. on Biomagnetism, edited by T. Yoshimoto, M. Kotani, S. Kuriki, H. Karibe, and N. Nakasato, Tohoku University Press,  Sendai, Japan, 1999, pp. 169-172.
  6. A. Cichocki, J. Karhunen, W. Kasprzak and R. Vigario: Neural networks for blind separation with unknown number of sources, Neurocomputing, Vol. 24, 1999, pp. 55-93.
  7. S.C. Douglas, A. Cichocki, and S. Amari: Self-Whitening Adaptive Equalization and Deconvolution Algorithms, Technical Report No. EE-99-001, Dept. of Electrical Engineering, Southern Methodist University, Dallas, TX, January 1999
  8. S.C. Douglas, A. Cichocki and S. Amari: Self-whitening algorithms for adaptive equalization and deconvolution , IEEE Trans. on Signal Processing, Vol. 47, No. 4, April 1999, pp. 1161-1165. [.pdf]
  9. O. Jahn, A. Cichocki, A. A. Ioannides, and S. Amari: Identification and elimination of artifacts from MEG signals using efficient independent component analysis", In the book: Recent Advances in Biomagnetism, Proc. 11th Int. Conf. on Biomagnetism, edited by T. Yoshimoto, M. Kotani, S. Kuriki, H. Karibe, and N. Nakasato, Tohoku University Press, Sendai, Japan, 1999, pp. 224-227.
  10. S. Osowski, A. Cichocki: Learning in dynamic neural networks using signal flow graphs, Int. Journal of Circuit Theory and Applications , Vol. 27, 1999, pp. 209-228.
  11. R. Thwanomas and A. Cichocki: Blind signal extraction of arbitrary distributed  but  temporally correlated signals - neural network approach, IEICE Transactions, Fundamentals, vol. E82 A, No.9, Sept. 1999, pp. 1834-1844.
  12. L. Zhang and A. Cichocki: Blind separation of filtered sources using state-space approach , in the book: Advances in Neural Information Processing Systems, edited by M. S. Kearns, S. A. Solla, and D. A. Cohn, The MIT Press, Cambridge, Vol. 11,1999, pp. 648-654.
  13. L. Zhang, A. Cichocki and S. Amari: Natural gradient algorithm for blind separation of overdetermined mixture with additive noise, IEEE Signal Processing Letters, Vol. 6 , No. 11, 1999, pp. 293-295.
2000
  1. S.Amari, T.-P. Chen and A. Cichocki: Nonholonimic orthgonal learning algorithms for blind source separation. Neuro Computation, Vol. 12, 2000, pp.1463-1484.
  2. A. Belouchrani, and A. Cichocki: Robust whitening procedure in blind source separation context , Electronics Letters, Vol. 36, No. 24, 2000, pp. 2050-2053. [.pdf]
  3. J. Cao, A. Cichocki, and S. Tanaka: Self-scaling and self-adaptive compact time-delay neural network for dynamical nonlinear and nonstationary system identification, Journal of Signal Processing, Vol. 4, No. 1, 2000, pp. 37-43.
  4. J. Cao, N. Murata, and A. Cichocki: Independent component analysis algorithm for online blind separation and blind equalization systems, Journal of Signal Processing, Vol. No. 2, March, 2000, pp.131-140.
  5. J. Cao, N. Murata, S. Amari, A. Cichocki, T. Takeda, H. Endo, and N. Harada: Single-trail magnetoencephalographic data decomposition and localization based on independent component analysis approach. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences , No. 9, 2000, pp.1757-1766.
  6. S. Choi, S. Amari, and A. Cichocki: Natural gradient learning for spatio-temporal deceleration: recurrent network, IEICE Trans. Fundamentals, vol. E83-A, no. 12, Dec. 2000, pp. 2715-2722. [.pdf]
  7. S. Choi and A. Cichocki: Blind separation of nonstationary sources in noisy mixtures, Electronics Letters, Vol. 36, No. 9, April, 2000, pp. 848-849.  [.pdf]
  8. S. Choi, A. Cichocki, S. and Amari. Flexible independent component analysis . Journal of VLSI Signal Processing, Vol. 26, 2000, pp. 25-38.  [.pdf]
  9. A. Cichocki, and R. Thawonmas: On-line algorithm for blind signal extraction of arbiturarily distributed, but temporally correlated sources using second order statistics. Neural Processing Letters,Vol. 12, August 2000, pp.91-98.
  10. S. Cruces, A. Cichocki, and L.Castedo: An iterative inversion approach to blind source separation . IEEE Transactions on Neural Networks, Vol. 11, No. 6, 2000, pp.1423-1437.  [.pdf]
  11. L. Zhang and A. Cichocki: Blind deconvolution of dynamical systems: A state space approach , (an invited paper), Journal of Signal Processing, Vol. 4, No. 2, Mar. 2000, pp. 111-130. [.pdf]
  12. L. Zhang, A. Cichocki and S. Amari: Semiparametric approach for blind deconvolution of nonminimum phase systems,  NIPS'99,  Advance in Neural Information Processing 12, edited by S.A. Solla, T.K. Leen and K.-R. Muller, MIT Press, 2000, pp. 363-369.
    2001
  1. A. K. Barros and A. Cichocki: "Extraction of specific signals with temporal structure" , Neural Computation, Vol. 13, No. 9, September 2001, pp. 1995-2003. [.pdf]
  2. S. Choi and A. Cichocki: Blind equalization via approximate maximum likelihood source separation, Electronics Letters, Vol. 37, No. 1, January 27, 2001, pp. 61-62.  [.pdf]
  3. S. Choi and A. Cichocki : Algebraic differential decorrelation for nonstationary source separation, Electronics Letters, vol. 37, no. 23, November 18, 2001, pp. 1414-1415. [.pdf]
  4. R. R. Gharieb and A. Cichocki: Noise Reduction in Brain Evoked Potentials based on Third-Order Correlations, IEEE Transactions on Biomedical Engineering , Vol. 48, 2001, pp. 501-512.  [.pdf]
  5. R. R. Gharieb and A. Cichocki: Segmentation and tracking of EEG signal using an adaptive recursive bandpass filter, Medical & Biological Engineering & Computing, Vol. 39, 2001, pp. 237-248. [.pdf]
  6. R. Rosipal, M. Girolami, L.J. Trejo, and A. Cichocki: Kernel PCA for feature extraction and de-noising in non-linear regression, Neural Computing & Applications, Vol. 10, pp. 231-243.  [.pdf]
  7. S.A. Vorobyov and A. Cichocki: Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal, Digital Signal Processing , Academic Press, Vol. 11, No. 3, July 2001, pp. 204-221.  [.pdf]
  8. S.A. Vorobyov, A. Cichocki, and Ye.V. Bodyanskiy: Adaptive noise cancellation for multi-sensory signals , Journal of Fluctuation and Noise Letters, Vol. 1, No. 1, 2001, pp.12-24.  [.pdf]
  9. L. Zhang, S. Amari and A. Cichocki: Semiparametric model and superefficiency in blind deconvolution, Signal Processing , Vol. 81, 2001, pp. 2535-2553. [.pdf]
2002
  1. J. Cao, N. Murata, S. Amari, A. Cichocki and T. Takeda: Independent component analysis for single-trial MEG data decomposition and single-dipole source localization, Neurocomputing, 2002, vol.49, 2002, pp. 255-277. [.pdf]
  2. S. Cruces, A. Cichocki and S. Amari: On a new blind signal extraction algorithm: Different criteria and stability analysis, IEEE Signal Processing Letters, vol. 9 No.8, August 2002, pp. 233-236. [.pdf]
  3. S. Choi , A. Cichocki, and S. Amari: Equivariant nonstationary source separation, Neural Networks, 2002, vol.15, 2002, pp.121-130. [.pdf]
  4. S. Choi, A. Cichocki, and A. Belouchrani: Second order nonstationary source separation, Journal of VLSI Signal Processing, 2002, vol. 32, no. 1-2, Aug. 2002, pp. 93-104. [.pdf]
  5. S. Cruces, L. Castedo, A. Cichocki: Robust blind source separation algorithms using cumulants, Neurocomputing, 2002, vol. 49, Dec. 2002, pp.87-118. [.pdf]
  6. S.A. Vorobyov and A. Cichocki: Blind noise Reduction for multi-sensory signals using ICA and subspace filtering with application to EEG analysis, Biological Cybernetics, Vol. 86, No. 4, April 2002, pp.293-303. [.pdf]
  7. L. Zhang, A. Cichocki and S. Amari: Geometrical structures of FIR manifold and their application to multichannel blind deconvolution, Journal of VLSI for Signal Processing, Vol. 31, 2002, pp.31-44.
2003
  1. J. Cao, N. Murata, S. Amari, A. Cichocki and T. Takeda: A robust approach to independent component analysis of signals with high-level noise measurements, IEEE Transactions on Neural Networks, vol. 14, 2003, pp. 631-645.
  2. S. Choi, A. Cichocki, L. Zhang and S. Amari: Approximate maximum likelihood source separation using the natural gradient, IEICE Trans. Fundamentals, vol. E86-A, no. 1, Jan. 2003, pp. 198-205.  [.pdf]
  3. A. Cichocki: The laboratory for Advanced Brain Signal Processing - RIKEN BSI: Why it is, and how it came to be, Journal of Signal Processing, vol. 7, no. 4, 2003, pp. 295-302.  [.pdf]
  4. A. Cichocki and P. Georgiev: Blind Source Separation Algorithms with Matrix Constraints , IEICE Trans. Fundamentals, vol. E86-A, no. 3, March 2003, pp. 522-531.  [.pdf]
  5. P. Georgiev and A. Cichocki, Robust Independent Component Analysis via Time-Delayed Cumulant Functions, IEICE Transactions on Information and Systems, Special session on Independent Component Analysis and Blind Source Separation, pp. 573-579. [.pdf]
  6. R.R Gharieb and A. Cichocki: Second-order statistics based blind source separation using a bank of subband filters, Digital Signal Processing, vol. 13, 2003, pp. 252-274. [.pdf]
  7. Y. Li, A. Cichocki, L. Zhang: Blind separation and extraction of binary sources, IEICE Transactions on Fundamentals, vol. E86-A, no. 3, 2003, pp. 580-589. [.pdf]
2004
  1. A. Cichocki. Blind signal processing methods for analyzing multichannel brain signals. International Journal of Bioelectromagtism, 6(1), 2004. [http, pdf]
  2. A. Cichocki: "Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications", Lecture Notes in Computer Science, Artificial intelligence and Soft Computing 3070, 30-37 (2004).
  3. S.A. Crucez-Alvarez, A. Cichocki and S. Amari: From blind signal extraction to blind instantaneous signal separation: criteria, algorithms and stability, IEEE Transaction on Neural Networks, Special issue on Information Theoretical Learning, Vol. 15, No.4, June 2004, pp.859-873.  [.pdf]
  4. T. Hoya, T. Tanaka, A. Cichocki, T. Murakami, G. Hori and J. Chambers: Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement, IEEE Transactions on Speech and Audio Processing, Vol. 13, No. 3, pp. 309-320, May 2005. [.pdf]
  5. Y. Li, A. Cichocki and S. Amari: Analysis of sparse representation and blind source separation, Neural Computation, Vol. 16, No. 6, June 2004, pp.1193-1204.  [.pdf]
  6. Y. Li, A. Cichocki, and L. Zhang, "Blind source estimation of FIR channels for binary sources: a grouping decision approach," Signal Processing, 84, 2245-2263 (2004). [.pdf]
  7. Y. Li, J. Wang and A. Cichocki: Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels, IEEE Trans. on Circuits and Systems, Vol.51, No.9. pp.1814-1822, Sept. 2004. [.pdf]
  8. L. Zhang, A. Cichocki and S. Amari: Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition, IEEE Transactions on Signal Processing, vol. 52, no. 5, 2004, pp. 1430-1442.  [.pdf]
  9. L. Zhang, A. Cichocki and S. Amari: Self-adaptive blind source separation based on activation functions adaptation, IEEE Transactions on Neural Networks, vol. 15, no. 2, 2004, pp. 233-244. [.pdf]
2005
  1. S. Choi, A. Cichocki, H._M. Park and S.-Y. Lee: "Blind source separation and independent component analysis: A review", Neural Information Processing - Letters and Reviews, Vol. 6, No.1, pp.1-57, January 2005, [ .pdf ]
  2. A. Cichocki, S. L. Shishkin, T. Musha, Z. Leonowicz, T. Asada, and T. Kurachi:  "EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease",  Clinical Neurophysiology,  Vol. 116, 2005, pp. 729-737 [ .pdf ]
  3. A. Cichocki, S. Stansell, Z. Leonowicz, and J. Buck: "Independent Variable Selection: Application of Independent Component Analysis to Forecasting a Stock Index", Journal of Asset Management JAM 6(4), 248-258 (2005).
  4. S. Ding, A. Cichocki, J. Huang, and D. Wei: "Blind Source Separation of Acoustic Signals in Realistic Environments Based on ICA in the Time-frequency Domain", Journal of Pervasive Computing and Communications 1(2), 89-99 (2005).
  5. P. Gergiev, F. Theis, and A. Cichocki: "Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures", IEEE Transactions on Neural Networks 16(4), 992-996 (2005).
  6. T. Hoya, T. Tanaka, A. Cichocki, T. Murakami, G. Hori, and J. A. Chambers: °»Stereophonic Noise Reduction Using A Combined Sliding Subspace Projection and Adaptive Signal Enhancement°…, IEEE Transactions on Speech and Audio Processing, Vol. 13, No. 3, pp. 309-320, May 2005, [ .pdf ]
  7. Y. Li and A. Cichocki: "Non-negative Matrix Factorization and its Application in Blind Sparse Source Separation with Less Sensors than Sources", COMPEL: The international Journal for Computation and Mathematics in Electrical and Electronic Engineering 24(2), 695-706 (2005).
  8. Y. Li, A. Cichocki, and J. Qin: "Blind Identification and Deconvolution for Noisy Two-input Two-output Channels", Lecture Notes in Computer Science, Advanced Neural Networks 3497, 502-507 (2005).
  9. F. Vialatte, A. Cichocki, G. Dreyfus, T. Musha, S. Shishkin,  and R. Gervais: "Early Detection of Alzheimer°«s Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals", Lecture Notes in Computer Science, Artificial Neural Networks 3696, 683-692 (2005).
2006
  1. H. Bakarjian, A. Cichocki, F. Cincotti, D. Mattia, F. Babiloni,  M.G. Marciani, F.D.V. Fallani, F. Miwakeichi, Y. Yamaguchi, P. Martinez, S. Salinari, A. Tocci, and L. Astolfi: "Estimate of Causality Between Cortical Spatial Patterns During Voluntary Movements in Normal Subjects", International Journal of Bioelectromagnetism 8(1), 1-18 (2006).
  2. J. Cao, J. Zhao, and A. Cichocki: "Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis", Lecture Notes in Computer Science, Advances in Neural Networks 3973, 531-540 (2006).
  3. A. Cavalcante, D. Mandic, T. Rutkowski, A. Barros: "Speech Enhancement Based on the Response Features of Facilitated EI Neurons", Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 585-592 (2006).
  4. S. Choi, J.H. Ahn, and A. Cichocki: "Constrained Projection Approximation Algorithms for Principal Component Analysis", Neural Processing Letters 24, 53-65 (2006).
  5. A. Cichocki, R. Zdunek, and S. Amari: "Csiszar°«s Divergences for Non-negative Matrix Factorization: Family of New Algorithms", Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 32-39 (2006).
  6. A. Cichocki, A. Amari, R. Zdunek, R. Kompass, G. Hori, and Z. He: "Extended SMART Algorithms for Non-negative Matrix Factorization", Lecture Notes in Computer Science, Artificial Intelligence and Soft Computing 4029, 548-562 (2006).
  7. A. Cichocki and R. Zdunek, "Multilayer Nonnegative Matrix Factorization",  Electronics Letters, Vol. 42, No. 16 (2006), pp. 947-948. [.pdf]
  8. S. Ding, J. Huang, D. Wei, and A. Cichocki, "A Near Real-Time Approach for Convolutive Blind Source Separation", IEEE Transactions on Circuits And Systems I, Vol. 53, No. 1, January 2006, pp. 114-128. [.pdf]
  9. A. Funase, T. Yagi, M. Mouri, A. Barros, A. Cichocki, and I. Takumi: "Analysis on EEG Signals in Visually and Auditory Guided Saccade Task by FICAR", Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 438-445 (2006).
  10. He Z, Cichocki A. K-EVD Clustering and Its Applications to Sparse Component Analysis. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 90-97 (2006).
  11. He Z, Cichocki A, Xie S. K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. Lecture Notes in Computer Science, Neural Information Processing 4232, 1038-1047 (2006).
  12. M.G. Jafari, W. Wang, J.A. Chambers, T. Hoya, and A. Cichocki, "Sequential Blind Source Separation Based Exclusively on Second-Order Statistics Developed for a Class of Periodic Signals", IEEE Transactions On Signal Processing, Vol. 54, No. 3, March 2006, pp. 1028-1040. [.pdf]
  13. H. Lee, A. Cichocki, and S. Choi: "Nonnegative Matrix Factorization for Motor Imagery EEG Classification", Lecture Notes in Computer Science, Artificial Neural Networks 4132, 250-259 (2006).
  14. Y. Li, A. Cichocki, S. Amari, and C. Guan: "Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation", Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 831-837 (2006).
  15. Y.  Li, S. Amari, A. Cichocki,  D. W. C. Ho,  and S.  Xie, "Underdetermined Blind Source Separation Based on Sparse Representation", IEEE Transactions On Signal Processing, Vol. 54, No. 2, February 2006, pp 423-437. [.pdf]
  16. Y. Li, A.  Cichocki, and S. Amari, "Blind Estimation of Channel Parameters and Source Components for EEG Signals: A Sparse Factorization Approach", IEEE Transactions on Neural Networks, Vol. 17, No. 2, March 2006, pp. 419-431. [.pdf]
  17. Y. Li, S. Amari, A. Cichocki, and C. Guan, "Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation", IEEE Transactions on Information Theory, 52(7), 3139-3152 (2006). [.pdf]
  18. W. Liu, D. Mandic, A. Cichocki: "Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures", IEEE Transactions on Circuits and Systems II: Express Briefs 53(9), 931-935 (2006).
  19. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, and M. Hata: "Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis", Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 384-391 (2006).
  20. W. Nakamura, K. Anami, T. Mori, O. Saitoh, A. Cichocki, and S. Amari S: "Removal of Ballistocardiogram Artifacts from Simultaneously Recorded EEG and fMRI Data Using Independent Component Analysis", IEEE Transactions on Biomedical Engineering 53(7), 1294-1308 (2006).
  21. T.M. Rutkowski, F. Vialatte, A. Cichocki, D. Mandic, and A. Barros: "Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach", Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems 4253, 1232-1239 (2006).
  22. T. Tanaka, Y. Hirasawa, Y. Yamashita: "Variable-Length Lapped Transforms With a Combination of Multiple Synthesis Filter Banks for Image Coding", IEEE Transactions on Image Processing 15(1), 81-88 (2006).
  23. F. Vialatte and A. Cichocki: "Sparse Bump Sonification: A New Tool for Multichannel EEG Diagnosis of Mental Disorders; Application to the Detection of the Early Stage of Alzheimer°«s Disease", Lecture Notes in Computer Science, Neural Information Processing 4234, 92-101 (2006).
  24. Y. Washizawa, T. Tanaka, D. Mandic, and A. Cichocki: "A Flexible Method for Envelope Estimation in Empirical Mode Decomposition", Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems 4253, 1248-1255 (2006).
  25. Zdunek R, Cichocki A. Non-negative Matrix Factorization with Quasi-Newton Optimization. Lecture Notes in Computer Science, Artificial Intelligence and Soft Computing 4029, 870-879 (2006).
2007
  1. L. Astolfi, H. Bakardjian, F. Cincotti, D. Mattia, M. Marciani, F. Fallani, A. Colosimo, S. Salinari, F. Miwakeichi, Y. Yamaguchi, P. Martinez, A. Cichocki, A. Tocci, F. Babiloni: "Estimate of Causality between Independent Cortical Spatial Patterns during Movement Volition in Spinal Cord Injured Patiens", Brain Topogr, 2007 Spring; 19(3):107-23 (2007).
  2. Z. Chen, S. Ohara, J. Cao, F.B. Vialatte, F.A. Lenz and A. Cichocki, "Statistical modeling and analysis of laser-evoked potentials of electrocorticogram recordings from awake humans", Journal of Computational Intelligence and Neuroscience, 24 pages, (2007) [.pdf]
  3. A. Cichocki, R. Zdunek, S. Choi, R. Plemmons, and S. Amari: "Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints", Lecture Notes in Computer Science, Vol. 4432, 271-280 (2007).
  4. A. Cichocki, and R. Zdunek: "Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization", Lecture Notes in Computer Science, Vol. 4493, 793-802 (2007).
  5. A. Cichocki, R. Zdunek, and S. Amari: "Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization", Lecture Notes in Computer Science, Vol. 4666, 169-176 (2007).
  6. A. Cichocki, and R. Zdunek.: "Multilayer Nonnegative Matrix Factorization using Projected Gradient Approaches", International Journal of Neural Systems, Vol. 17, No. 6, 431-446 (2007). [pdf]
  7. F. Fallani, L. Astolfi, F. Cincotti, D. Mattia, M. Marciani, S. Salinari, J. Kurths, S. Gao, A. Cichocki, A. Colosimo, and F. Babioni: "Cortical Functional Connectivity Networks in Normal and Spinal Cord Injured Patients: Evaluation by Graph Analysis", Human Brain Mapping, Vol. 28, Issue 12, 1334-1346 (2007). [.pdf]
  8. D. Feng, W. Zheng, and A. Cichocki: "Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources from Array Signals", IEEE Transactions on Signal Processing, Vol. 55, No.3, 962-977 (2007).
  9. P. Georgiev, P. Pardalos, and A. Cichocki, "Algorithms with high order convergence speed for blind source extraction", Journal of Computational Optimization and Applications, 38(1), 121-131 (2007). [.pdf]
  10. Z. He, S. Xie, S. Ding, and A. Cichocki, "Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation", IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 5, JULY 2007, pp. 1551-1563
  11. Z. He, and A. Cichocki: "An Efficient K-Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis", Lecture Notes in Computer Science, Vol. 4492, 1032-1041 (2007).
  12. H. Lee, Y.-D. Kim, A. Cichocki, and S. Choi, "Nonnegative tensor factorization for continuous EEG classification," International Journal of Neural Systems, Vol. 17, No. 4, pp. 1-13, (2007). [,pdf]
  13. W. Liu, D.P. Mandic, and A. Cichocki: "Blind source extraction based on a linear predictor", IET Signal Processing, Vol. 1, No. 1, 29-34 (2007).
  14. W. Liu, D. Mandic, and A. Cichocki: "Analysis and Online Realization of the CCA Approach for Blind Source Separation", IEEE Transactions of Neural Networks, Vol. 18, No. 5, 1505-1510 (2007).
  15. P. Martinez, H. Bakardjian and A Cichocki, "Fully-Online, Multi-Command Brain Computer Interface with Visual Neurofeedback Using SSVEP Paradigm", Journal of Computatinal Intelligence and Neuroscience, 2007, 9 pages (2007). [.pdf]
  16. S. Osowski, B. Swiderski, A. Cichocki, and A. Rysz: "Epileptic Seizure Characterization by Lyapunov exponent of EEG signal", Compel, 26 (5), 1276-1287 (2007).
  17. J-H. Park, S. Kim, Ch-H. Kim, A. Cichocki, and K. Kim: "Multiscale Entropy Analysis of EEG from Patients under Different Pathological Conditions", Fractals, Vol. 15, No. 4, 399-404 (2007).
  18. T.M. Rutkowski, R. Zdunek, and A. Cichocki, "Multichannel EEG Brain Activity Pattern Analysis in Time-Frequency Domain with Nonnegative Matrix Factorization Support", International Congress Series, Elsevier, Vol. 1301, 2007, pp. 266-269  [.pdf]
  19. A. Seghouane, and A. Cichocki: "Bayesian estimation of the number of principal components", Signal Processing, Vol. 87, 562-568 (2007).
  20. B. Swiderski, S. Osowski, A. Cichocki, A. Rysz: "Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine", Lecture Notes on Computer Science Adaptive and Natural Computing Algorithms 4432, 373-381 (2007).
  21. F. Theis, P. Georgiev, and A. Cichocki: "Robust Sparse Component Analysis Based on a Generalized Hough Transform", EURASIP Journal on Advances in Signal Processing (2007).
  22. W.L. Woon and A.  Cichocki, "Novel Features for Brain Computer Interfaces", Journal of Computational Intelligence and Neuroscience 7 pages (2007). [pdf]
  23. W.L. Woon, A. Cichocki, F. Vialatte, and T. Musha, "Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings", Physiological  Measurements, Vol. 28, No. 4, April 2007, pp. 335-347. [link] [.pdf]
  24. R. Zdunek and A. Cichocki, "Nonnegative Matrix Factorization with Constrained Second-Order Optimization", Signal Processing, Vol. 87, 2007, pp. 1904-1916 [.pdf]

    2008

  25. Z. Chen, J. Cao, Y. Cao, Y. Zhang, F. Gu, G. Zhu, Z. Hong, B. Wang, and A. Cichocki: "An Empirical EEG Analysis in Brain Death Diagnosis for Adults". Cognitive Neurodynamics 2, 257-271 (2008).
  26. A. Cichocki, M. Jankovic, R. Zdunek, and S. Amari: "Sparse Super Symmetric Tensor Factorization", Lecture Notes in Computer Science, Neural Information Processing 4984, 781-790 (2008).
  27. A. Cichocki, A-H. Phan, R. Zdunek, L.Q. Zhang: "Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation", Lecture Notes in Computer Science, Neural Information Processing 4984, 811-820 (2008).
  28. A. Cichocki, Y. Washizawa, T. Rutkowski, H. Bakardjian, A.-H. Phan, S. Choi, H. Lee, Q. Zhao, L. Zhang, and Y. Li, "Noninvasive BCIs: Multiway signal-processing array decompositions", Computer, vol. 41, no. 10, pp. 34-42, 2008. [link, pdf]
  29. A. Cichocki, R. Zdunek, and S. Amari: "Nonnegative Matrix and Tensor Factorization", IEEE Signal Processing Magazine, January 2008, pp. 142-145. [pdf]
  30. A. Cichocki, H. Lee, Y.-D. Kim, and S. Choi, "Nonnegative matrix factorization with alpha-divergence", Pattern Recognition Letters, 2008 29(9), 1433-1440 (2008). [.pdf]
  31. J. Dauwels, F. Vialatte, A. Cichocki: "A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer°«s Disease Based on EEG", Lecture Notes in Computer Science, Neural Information Processing 4984, 112-125 (2008).
  32. Z. He, S. Xie, L. Zhang, and A. Cichocki: "A note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations", Neural Computation 20(3), 636-643 (2008).
  33. Z. He, A. Cichocki, R. Zdunek, and J. Cao: "CG-M-FOCUSS and Its Application to Distributed Compressed Sensing", Lecture Notes in Computer Science, Advances in Neural Networks 5263, 237-245 (2008).
  34. M. Jankovic, P. Martinez, Z. Chen, and A. Cichocki: "Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis", Lecture Notes in Computer Science, Neural Information Processing 4984, 527-536 (2008).
  35. Y.Q. Li, A. Cichocki, S. Amari, S.L. Xie, S.L. Guan: "Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation", IEEE Transactions on Neural Networks 19(12), 2009-2021 (2008).
  36. P. Martinez, H. Bakardjian, M. Vallverdu, and A. Cichocki: "Fast Multi-command SSVEP Brain Machine Interface without Training", Lecture Notes in Computer Science, Artificial Neural Networks 5164, 300-307 (2008).
  37. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, and M. Hata: "Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis", IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 91(8), 1875-1882 (2008).
  38. A-H. Phan and A. Cichocki: "Fast and Efficient Algorithms for Nonnegative Tucker Decomposition", Lecture Notes in Computer Science, Advances in Neural Networks, 772-782 (2008).
  39. T.M. Rutkowski, D. Mandic, A. Cichocki, and A. Przybyszewski: "EMD Approach to Multichannel EEG Data – The Amplitude and Phase Synchrony Analysis Technique", Lecture Notes in Computer Science, Advanced Intelligent Computing Theories and Applications 5226, 122-129 (2008).
  40. F. Vialatte, J. SolŹęĪ-Casals, A. Cichocki: "EEG Windowed Statistical Wavelet Scoring for Evaluation and Discrimination of Muscular Artifacts", Physiological Measurement 29, 1435-1452 (2008).
  41. F. Vialatte, and A. Cichocki: "Split-Test Bonferroni Correction for QEEG Statistical Maps", Biological Cybernetics 98, 295-303 (2008).
  42. J. Xu, H. Bakardjian, A. Cichocki, and J. Principe: "A new Nonlinear Similarity Measure for Multichannel Signals", Neural Networks 21, 222-231 (2008).
  43. R. Zdunek, A. Cichocki: "Nonnegative Matrix Factorization with Quadratic Programming", Neurocomputing 71, 2309-2320 (2008).
  44. R. Zdunek and A. Cichocki: "Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing", Lecture Notes in Computer Science, Neural Information Processing 4985, 519-528 (2008).
  45. R. Zdunek and A. Cichocki: "Improved M-FOCUSS algorithm with overlapping blocks for locally smooth sparse signals", IEEE Trans. Signal Processing, Vol. 56, No. 10, Part 1, 4752-4761, 2008. [pdf]

    2009

  46. C. Caiafa and A. Cichocki: "Estimation of Sparse Non-negative Sources from Noisy Overcomplete Mixtures using MAP", Neural Computation (in press 2009).
  47. A. Cichocki: "Enhancing neurological functions through bioengineering", The Lancet Neurology, Vol. 8, 788 (2009) [pdf]
  48. A. Cichocki and A-H. Phan: "Fast local algorithms for large scale Nonnegative Matrix and Tensor Factorizations", IEICE Transaction on Fundamentals, E92-A(3), 708-721 (invited paper) (2009). [pdf]
  49. J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki: "Quantifying Statistical Interdependence by Message Passing on Graphs", PART I: Algorithms and Applications to Neural Signals. Neural Computation 21:8 (in press 2009). [pdf]
  50. J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki: "Quantifying Statistical Interdependence by Message Passing on Graphs", PART II: Multi-Dimensional Point Processes. Neural Computation 21:8 (in press 2009). [pdf]
  51. J. Dauwels, F.B. Vialatte, T. Weber, and A. Cichocki: "An exemplar-based statistical model for the dynamics of neural synchrony", Lecture Notes in Computer Science 5506, pp. (in press) (2009). [pdf]
  52. J. Dauwels, Y. Tsukada, Y. Sakumura, S. Ishii, K. Aoki, T. Nakamura, M. Matsuda, F.B. Vialatte, and A. Cichocki: "On the synchrony of morphological and molecular signaling events in cell migration",Lecture Notes in Computer Science 5506, pp. (in press) (2009). [pdf]
  53. J. Dauwels, F.B. Vialatte, T. Weber, and A. Cichocki: "On similarity measures for spike trains", Lecture Notes in Computer Science 5506, pp. (in press) (2009). [pdf]
  54. Z. He, A. Cichocki, R. Zdunek, and S.L. Xie: "Improved FOCUSS Methods with Conjugate Gradient Iterations", IEEE Transactions on Signal Processing. 57(1), 399-404 (2009). [pdf]
  55. Z. He, A. Cichocki, Y.Q. Li, S.L. Xie, S. Sanei: "K-hyperline Clustering Learning for Sparse Component Analysis", Signal Processing 89, 1011-1022 (2009). [pdf]
  56. Ivica Kopriva and Andrzej Cichocki: "Blind Multi-spectral Image Decomposition by 3D Nonnegative Tensor Factorization," Optics Letters, Vol. 34 Issue 14, pp.2210-2212 (2009) [pdf, http]
  57. I. Kopriva, I. Jeric, and A. Cichocki: "Blind Decomposition of Infrared Spectra Using Flexible Component Analysis", Chemometrics and Intelligent Laboratory Systems, (in press 2009) doi:10.1016/j.chemolab.2009.04.
  58. H. Lee, A. Cichocki, and S. Choi: "Kernel nonnegative matrix factorization for spectral EEG feature extraction," Neurocomputing 72,(2009) 3182-3190 [pdf]
  59. T.M. Rutkowski, A. Cichocki, T. Tanaka, A. Ralescu, and D.P. Mandic: "Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation", Lecture Notes in Computer Science 5506, 452-459 (2009). [pdf]
  60. B. Swiderski, S. Osowski, A. Cichocki, and A. Rysz: "Single-class SVM and Directed Transfer Function Approach to the Localization of the Region Containing Epileptic Focus", Neurocomputing 72, 1575-1583 (2009). [pdf]
  61. F.B. Vialatte, H. Bakardjian, R. Prasad, and A. Cichocki: "EEG Paroxysmal Gamma Waves during Bhramari Pranayama: a Yoga Breathing Technique", Consciousness and Cognition (in press 2009).
  62. F.B. Vialatte, T. Musha, and A. Cichocki: "Sparse Bump Sonification: a New Tool for Multichannel EEG Diagnosis of Brain Disorders", Artificial Intelligence in Medicine, (in press, 2009) [pdf]
  63. F.B. Vialatte, J. Sole-Casals, J. Dauwels, M. Maurice, and A. Cichocki: "Bump Time-Frequency Toolbox: a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals", BMC Neuroscience 10:46 (2009) [pdf, http]
  64. F.B. Vialatte, J. Dauwels, M. Maurice, Y. Yamaguchi, A. Cichocki: "On the Synchrony of Steady State Visual Evoked Potentials and Oscillatory Burst Events", Cognitive Neurodynamics (in press 2009). [pdf]
  65. F.B. Vialatte, M. Maurice, J. Dauwels, A. Cichocki: "Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz)", Lecture Notes in Computer Science 5506, pp. 399-406 (2009). [pdf]
  66. F.B. Vialatte, J. Dauwels, J. SolŹęĪ-Casals, M. Maurice, and A. Cichocki: "Improved Sparse Bump Modeling for Electrophysiological Data", Lecture Notes in Computer Science 5506, pp. 224-231 (2009). [pdf]
  67. F.B. Vialatte, J. SolŹęĪ-Casals, M. Maurice, C. Latchoumane, N. Hudson, S. Wimalaratna, J. Jeong, and A. Cichocki: "Improving the Quality of EEG Data in Patients With Alzheimers Disease Using ICA", Lecture Notes in Computer Science 5506, pp. 979-986 (2009). [pdf]
  68. Q. Zhao, L. Zhang, and A. Cichocki: "EEG-based Asynchronous BCI Control of a Car in 3D Virtual Reality Environments", Chinese Science Bulletin 54, 78-87 (2009). [pdf]

    2010

  69. Amari S, Cichocki A. Information Geometry of Divergence Functions. Bulletin of the Polish Academy of Sciences, 58 (1), 183-195 (2010).
  70. Bakardjian H, Tanaka T, Cichocki A. Optimization of SSVEP Brain Responses with Application to Eight-command Brain-Computer Interface. Neuroscience Letters, 469 (1), 34-38 (2010).
  71. Caiafa C, Cichocki A. Generalizing the column-row matrix decomposition to multi-way arrays. Linear Algebra and its Applications, 433 (3), 557-573 (2010).[pdf]
  72. Caram L, Caiafa C, Proto A, Ausloos, M. Dynamic Peer-to-peer Competition Physica A, 389, 2628-2636 (2010).
  73. Cichocki A, Amari S. Families of Alpha-Beta-and Gamma-Divergences: Flexible and Robust Measures of Similarities. Entropy, 12, 1532-1568 (2010).[pdf]
  74. Cong F, Kalyakin I, Phan A-H, Cichocki A, Huttunen-Scott T, Lyytinen H, Ristaniemi T. Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials. Lecture Notes in Computer Science, 6064, 385-391 (2010).
  75. Cong, F, Phan A-H, Lyytinen H, Ristaniemi T, Cichocki A. Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential. Lecture Notes in Computer Science, 6365, 620-628 (2010).
  76. Dauwels J, Vialatte F, Musha T, Cichocki A. A Comparative Study of Synchrony Measures for Early Diagnosis of Alzheimer°«s Disease Based on EEG. NeuroImage, 668-693 (2010).
  77. Funase A, Mouri M, Cichocki A, Takumi I. Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis. Lecture Notes in Computer Science, 6444, 74-81 (2010).
  78. He Z, Cichocki A. Robust Channel Identification Using FOCUSS Method. Lecture Notes in Electrical Engineering, 67, 471-477 (2010).
  79. He Z, Cichocki A, Xie S, Choi K. Detecting the Number of Clusters in n-way Probabilistic Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(11), 2006-2021 (2010).
  80. Hori G. Joint SVD and Its Application to Factorization Method. Lecture Notes in Computer Science, 6365, 563-570 (2010).
  81. Hoya T, van Leeuwen C. A Cascaded Neuro-Computational Model for Spoken Word Recognition. Connection Science 22(1), 87-101 (2010).
  82. Javidi S, Mandic D, Cichocki A. Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Transactions on Circuits and Systems I: Regular Paper, 57 (7), 1404-1416 (2010).
  83. Nam Y, Zhao Q, Cichocki A, Choi S. A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. Lecture Notes in Computer Science, 6444, 34-41 (2010).
  84. Nam Y, Kang H, Zhao Q, Cichocki A, Choi S. Mind Flipper: An EEG-based Brain Computer Interface for Page-turning during Presentation. Australian Journal of Intelligent Information Processing Systems. 11(3), 1-6 (2010).
  85. Phan A-H, Cichocki A. Tensor Decompositions for Feature Extraction and Classification of High Dimensional Datasets. Nonlinear Theory and Its Applications, IEICE, 1(1), 37-68 (2010). [pdf]
  86. Phan A-H, Cichocki A, Vu-Dinh T. Nonnegative DEDICOM Based on Tensor Decompositions for Social Networks Exploration. Australian Journal of Intelligent Information Processing Systems, 12(1), 10-15 (2010).
  87. Phan A-H, Cichocki A, Zdunek R, Vu-Dinh T. Novel Alternating Least Squares Algorithms for Nonnegative Matrix and Tensor Factorizations. Lecture Notes in Computer Science, 6443, 262-269 (2010),
  88. Rutkowski T, Mandic D, Cichocki A, Przybyszewski A. EMD Approach to Multichannel EEG Data – The Amplitude and Phase Components Clustering Analysis, Journal of Circuits, Systems, and Computers 19(1), 215-229 (2010).
  89. Rutkowski T, Cichocki A, Mandic D, Nishida T. Emotional Empathy Transition Patterns from Human Brain Responses in Interactive Communication Situations. AI&Society (2010 online).
  90. Shi Q, Zhou W, Cao J, Mandic D, Tanaka T, Rutkowski T, Wan R. An Auditory Oddball Based Brain-computer Interface System using Multivariate EMD. Lecture Notes in Computer Science, 6216, 140-148 (2010).
  91. Shinozaki T, Okada M, Reyes A, Cateau H. Flexible Traffic Control of theSynfire-mode Transmission by Inhibitory Modulation: Nonlinear Noise Reduction. Physical Review E 81, 011913-1-7 (2010).
  92. Vialatte F, Maurice-Vialatte M, Dauwels J, Cichocki A. Steady-State Visually Evoked Potentials: Focus on Essential Paradigms and Future Perspectives. Progress in Neurobiology 90(4), 418-438 (2010).
  93. Washizawa Y. Feature Extraction Using Constrained Approximation and Suppression. IEEE Transactions on Neural Networks, 21(2), 201-210 (2010).
  94. Washizawa Y. Higashi H, Rutkowski T, Tanaka T, Cichocki A. Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification. Lecture Notes in Computer Science, 6444, 26-33 (2010)
  95. Washizawa Y. Yamashita Y. Tanaka T, Cichocki A. Blind Extraction of Global Signals from Multi-Chaneel Noisy Observations. IEEE Transactions on Neural Networks, 21 (9), 1472-1481 (2010).
  96. Yoshino H. Chen D. Washizawa Y. Yamashita Y. Kernel Wiener Filter and its Application to pattern Recognition. IEEE Transactions on Neural Networks, 21(11), 1719-1730 (2010).
  97. Zdunek R, Phan A-H, Cichocki A. Damped Newton Iterations for Nonnegative Matrix Factorization. Australian Journal of Intelligent Information Processing Systems, 12(1), 16-22(2010).
  98. Zhao Q, Rutkowski T, Zhang L, Cichocki A. Generalized Optimal Spatial Filtering Using a Kernel Approach with Application to EEG Classification. Cognitive Neurodynamiccs, 4(4), 355-358 (2010).

    2011

  99. Bakardjian H, Tanaka T, Cichocki A. Emotional Faces Boost up Steady-state Visual Responses for Brain-Computer Interface. NeuroReport 22,121-125 (2011).
  100. Cichocki A, Cruces S, Amari S. Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy 13, 134-170 (2011).
  101. Phan A-H, Cichocki A. Extended HALS Algorithm for Nonnegative Tucker Decomposition and its Applications for Multi-Way Analysis and Classification. Neurocomputing (in press). [pdf]
  102. Phan A-H, Cichocki A. PARAFAC Algorithms for Large-scale Problems. Neurocomputing (in press).[pdf]
  103. Rutkowski T, Tanaka T, Cichocki A, Erickson D, Cao J, Mandic D. P. Interactive components extraction from fEEG and fNIRS for affective brain machine interfacing paradigms. Computers in Human Behavior (in press).
  104. Shi Q, Yan J, Cao J, Tanaka T, Wang R, Zhu H. EEG Data Analysis Based on EMD for Coma and Quasi-Brain-Death Patients. Journal of Experimental & Theoretical Artificial Intelligence (in press). 
  105. Washizawa Y. Tanaka M. Centered Subset Kernel PCA for Denoising. Lecture Notes in Computer Science (in press).
  106. Washizawa Y. Trace Norm Regularization and Application to Tensor based Feature Extraction. Lecture Notes in Computer Science (in press).




Refereed Conference Papers and Book Chapters:


    1988


  1. A. Cichocki and R. Unbehauen: Application of SC MOS delta and delta sigma modulators to nonlinear signal processing, Proc. Int. Symposium on Circuits and Systems, Helsinki, Finland 1988 pp. 2233-2236.
  2. 1989

  3. A. Cichocki and R. Unbehauen: Switched-capacitor self-oscillating capacitance transducer with duty-cycle or digital output, Proc. European Conference on Circuit Theory and Design, Brighton 1989, pp. 185-189.
  4. S.Osowski and A. Cichocki: Automatic design of linear SC circuits , Int. Symposium on Network Theory, Zagreb, Jugoslavia, 1989.
  5. 1990

  6. A. Cichocki and R. Unbehauen: Switched-capacitor artificial neural networks for nonlinear optimization with constraints, IEEE Symposium on Circuits and Systems, New Orleans, USA, May 90, pp. 2809-2812.
  7. 1992

  8. A. Cichocki, J. Ramirez-Angulo and R. Unbehauen: Architectures for analog VLSI implementation of neural networks for solving equations with linear inequality constraints, IEEE Int. Symposium on Circuits and Systems, ISCAS-92 w San Diego, USA.
  9. 1994

  10. A. Cichocki, R. Unbehauen, L. Moszczynski and E. Rummert: A new on-line adaptive learning algorithm for blind separation of source signals , Int. Symposium on Artificial Neural Networks, ISANN-94, Dec. 1994, Tainan, Taiwan, pp. 406-411.
  11. 1995

  12. S. Amari, A. Cichocki, H.H.Yang: A new learning algorithm for blind signal separation , Advances in Neural Information Processing Systems 1995 , vol.8, MIT Press, Cambridge MA, 1995, pp. 757-763. [.pdf]
  13. S. Amari, A. Cichocki, H.H. Yang: Recurrent neural networks for blind separation of sources , Int. Symposium on Nonlinear Theory and its Applications - NOLTA'95 , NTA Research Society of IEICE, Las Vegas, Dec. 1995, pp. 37-42. [.pdf]
  14. A. Cichocki, W. Kasprzak, S. Amari: Multi-layer neural networks with a local adaptive learning rule for blind separation of source signals , Int. Symposium on Nonlinear Theory and its Applications - NOLTA'95 , NTA Research Society of IEICE, Las Vegas, Dec. 1995, pp. 61-65. [.pdf]
  15. A. Cichocki, R. Bogner, L. Moszczynski: Improved adaptive algorithms for blind separation of sources, Proceedings of Conference on Electronic Circuits and Systems, KKTOiUE, Zakopane Poland, Oct. 1995, pp. 647-652.
  16. W. Skarbek and A. Cichocki: Gray scale image representation by recurrent vector neural network, Int. Symposium on Nonlinear Theory and its Applications - NOLTA'95, NTA Research Society of IEICE, Las Vegas, 1995, pp. 555-558.
  17. 1996

  18. M. Adachi: K. Aihara and A. Cichocki: Separation of mixed patterns by a chaotic neural network, International Symposium on Nonlinear Theory and its Applications - NOLTA'96, Proceedings. Research Society on NTA, IEICE, Japan, Oct. 1996, pp. 93-96.
  19. A. Belouchrani, A. Cichocki and K. Abed Meraim: A Blind identification and separation technique via multi-layer neural networks, in Progress in Neural Information Processing - ICONIP'96, Proceedings, (Hong Kong Sept. 1996), Springer-Verlag Singapore Ltd, Vol. 2, pp. 1195-1200. [.pdf]
  20. J. Cao, S. Amari and A. Cichocki: Self-scaling and self-adaptive neural networks for on-line nonlinear dynamical systems identification, Proceedings of 1996 International Symposium on Multi-Technology Information Processing (ISMIP-96), Taiwan, Dec. 1996, pp. 499-504.
  21. J. Cao, Cichocki A.: A simplified architecture for nonlinear recurrent neural filter, Progress in Neural Information Processing - ICONIP'96, Proceedings , (Hong Kong, Sept. 1996), Springer-Verlag Singapore Ltd, 1996, vol.1, pp. 514-519.
  22. A. Cichocki, S. Amari and J. Cao: Blind separation of delayed and convolved signals with self-adaptive learning rate, 1996 IEEE International Symposium on Nonlinear Theory and its Applications, NOLTA-96, Kochi Japan, Oct. 7-9, 1996, pp. 229-232.
  23. A. Cichocki, S. Amari and R. Thawonmas: Blind signal extraction using self-adaptive non-linear Hebbian learning rule , International Symposium on Nonlinear Theory and its Applications - NOLTA'96 , Proceedings. Kochi Japan, Oct. 1996, pp. 377-380. [.pdf]
  24. A. Cichocki, W. Kasprzak and S. Amari: Adaptive approach to blind source separation with cancellation of additive and convolutional noise , ICSP'96, 3rd Int. Conf. on Signal Processing, Proceedings, IEEE Press/PHEI Beijing, vol. I, Sept. 1996, pp. 412-415. [.pdf]
  25. A. Cichocki, W. Kasprzak and S. Amari: Neural network approach to blind separation and enhancement of images, in Signal Processing VIII. Theories and Applications., EURASIP/LINT Publ., Trieste, Italy, vol.I, Sept. 1996, pp. 579-582. [.pdf]
  26. A. Cichocki, A. Kasprzak, W. Skarbek: Adaptive learning algorithm for principal component analysis with partial data , Cybernetics and Systems '96. 13-th European Meeting on Cybernetics and Systems Research, Austrian Society for Cybernetic Studies, Vienna, 1996, pp. 1014-1019. [.pdf]
  27. A. Cichocki, R. Swiniarski and R. Bogner: Hierarchical neural network for robust PCA of complex-valued signals , Proc. of World Congress on Neural Networks, WCNN'96 - 1996 Int. Neural Network Society Annual Meeting in San Diego, USA, September 1996, pp. 818-821. [.pdf]
  28. A. Cichocki, S. Amari, M, Adachi, W. Kasprzak: Self-adaptive neural networks for blind separation of sources , Proc. of 1996 IEEE International Symposium on Circuit and Systems , vol. 2, May 1996, pp. 157-160. [.pdf]
  29. A. Cichocki, P. Kostyla, T. Lobos, Z. Waclawek: Adaptive neural networks for robust estimation of parameters of noisy harmonic signals, Signal Processing VIII. Theories and Applications, EURASIP/LINT Publ., Trieste, Italy, 1996, vol.I, pp. 220-223.
  30. S.C. Douglas and A. Cichocki: Convergence analysis of local algorithms for blind signal processing , Neural Information Processing Systems Conf., Workshop on Blind Signal Processing, Denver, CO, December 2-7, 1996. [.pdf]
  31. R. Foltyniewicz, A. Cichocki: Higher order neural networks with wavelets preprocessing for face recognition, World Congress on Neural Networks, WCNN'96 - 1996 Int. Neural Network Society Annual Meeting in San Diego , USA, Sep. 1996. Proceedings. INNS Press & Lawrence Erlbaum Associates Inc. Publ., Mahwah, NJ, pp. 919-922.
  32. W. Kasprzak, A. Cichocki: Recurrent least squares learning for quasi-parallel principal component analysis , ESANN'96. Proceedings, D'facto Publ., Brussels, 1996, pp. 223-228. [.pdf]
  33. W. Kasprzak, A. Cichocki: Hidden image separation from incomplete image mixtures by independent component analysis , 13th Int. Conf. on Pattern Recognition, ICPR'96, vol. II, IEEE Computer Society Press, Los Alamitos CA, August 1996, pp. 394-398. [.pdf]
  34. A. Krzyzak, A. Cichocki: On the convergence of the recursive radial basis function networks, World Congress on Neural Networks, WCNN'96 - 1996 Int. Neural Network Society Annual Meeting in San Diego, USA, Sep. 1996. Proceedings. INNS Press & Lawrence Erlbaum Associates Inc. Publ., Mahwah, NJ, pp. 239-243.
  35. M.J. Ogorzalek, Z. Galias, A. Cichocki: Study of noise influence on self-organization phenomena in chaotic neural networks, 1996 IEEE Int. Symposium on Circuits and Systems, ISCAS'96, vol. 3, IEEE, Piscataway, NJ, 1996, pp. 87-91.
  36. S. Osowski and A. Cichocki: SFG approach to the sensitivity determination of dynamic recurrent systems , World Congress on Neural Networks, WCNN'96 - 1996 Int. Neural Network Society Annual Meeting in San Diego, USA, Sep. 1996. Proceedings. INNS Press & Lawrence Erlbaum Associates Inc. Publ., Mahwah, NJ, pp. 256-259. [.pdf]
  37. S. Osowski and A. Cichocki: Application of SFG in learning algorithms of neural networks , Int. Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, NICROSP'96,, Venice, Italy, August 1996, pp. 75-84. [.pdf]
  38. S. Osowski and A. Cichocki and T.H. Linh: Learning in recurrent neural dynamic systems using signal flow graphs, Krajowa Konferencja Teorii Obwodow i Ukladow Elektronicznych (KKTOiUE), Karpacz, 1996, pp. 669-674
  39. 1997

  40. S. Amari, S.C. Douglas, A. Cichocki, H.H. Yang: Multichannel blind deconvolution and equalization using the natural gradient , Proc. of IEEE International Workshop on Wireless Communication, Paris April 1997, pp. 101-104. [.pdf]
  41. S. Amari, T. Chen and A. Cichocki: Non-holonomic constraints in learning blind source separation, Progress in Connectionist-Based Information Systems , Eds. N. Kasabov, ICONIP-97, New Zealand, Springer Nov. 1997, vol.I pp. 633-636.
  42. S. Amari, S. Douglas, A. Cichocki and H.H. Yang: Novel on-line algorithms for blind deconvolution using natural gradient approach , Proc. of 11th IFAC symposium on System Identification, SYSID-97 Kitakyushu City, Japan, July 1997, pp. 1057-1062. [.pdf]
  43. A.D. Back and A.C. Cichocki: Blind source separation and deconvolution of fast sampled signals , Progress in Connectionist-Based Information Systems, Eds. N. Kasabov, ICONIP-97, New Zealand, Springer Nov. 1997, vol.I, pp. 637-641.
  44. J. Cao and A. Cichocki: On-line blind sources separation algorithms for SIMO blind equalization systems, Proceedings of 12th Digital Signal Processing Symposium, Hiroshima, Japan, Nov. 1997, pp. 351-356.
  45. J. Cao and A. Cichocki; Blind source separation algorithm based on 4th-order self- and cross-cumulants criterion applied for EEG data analysis, Proceedings of 1997 International Symposium on Nonlinear Theory and its Applications (NOLTA-97), vol. 2, Hawaii, U.S.A. (Dec. 1997), pp. 1005-1008.
  46. S. Choi and A. Cichocki: Blind signal deconvolution by spatio-temporal decorrelation and demixing , Neural Networks for Signal Processing VII, ed. by J. Principe, L. Gile, N. Morgan, and E. Wilson, 1997, pp. 426-435. [.pdf]
  47. S. Choi and A. Cichocki: A linear feedforward neural network with lateral feedback connections for blind source separation , IEEE Signal Processing Workshop on Higher-order Statistics, Banff, Canada, 21-23 July 1997, pp. 349-353. [.pdf]
  48. S. Choi and A. Cichocki: Adaptive blind separation of speech signals: Cocktail party problem , International Conference on Speech Processing (ICSP'97), Seoul, Korea, 26-28 August 1997, pp. 617-622. [.pdf]
  49. S. Choi, S. Amari and A. Cichocki: Natural gradient learning algorithms for decorrelation, Progress in Connectionist-Based Information Systems (Proceedings of the 1997 International Conference on Neural Information Processing) (ICONIP'97), Dunedin, New Zealand, vol. 1, November 1997, pp. 645-648.
  50. S. Choi, A. Cichocki and S. Amari: Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach, Progress in Connectionist-Based Information Systems (Proceedings of the 1997 International Conference on Neural Information Processing) (ICONIP'97) , Dunedin, New Zealand, vol. 1, November 1997, pp. 641-644.
  51. A. Cichocki, J. Cao and I. Sabala: On-line adaptive algorithms for blind equalization of multi-channel systems", Progress in Connectionist-Based Information Systems, Eds. N. Kasabov, Springer, ICONIP-97, New Zealand, Nov. 1997, pp. 649-652.
  52. A. Cichocki: Blind separation and extraction of source signals - recent results and open problems, Proc. of the 4-th Annual Conference of the Institute of Systems, Control and Information Engineers, ISCIIE, Osaka, May 21-23 1997, pp. 43-48.
  53. A. Cichocki, I. Sabala, S. Choi, B. Orsier, and R. Szupiluk: Self adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with unknown number of sources and additive noise, Proceedings of 1997 International Symposium on Nonlinear Theory and its Applications (NOLTA-97), Vol. 2, Hawaii, U.S.A., Dec. 1997, pp. 731-734. [.pdf]
  54. A. Cichocki, R. Thawonmas, and S. Amari: On-line blind signal extraction methods exploiting a priori knowledge of the previously extracted signals , Proc. the 1997 IEEE Workshop on Nonlinear Signal and Image Processing , Michigan, September, 1997. [.pdf]
  55. A. Cichocki, R. Thawonmas, and S. Amari: Dual cascade networks for blind signal extraction , Proc. the 1997 International Conference on Neural Networks (ICNN'97) , Houston, vol. 4, 1997, pp. 2135-2140. [.pdf]
  56. A. Cichocki, B. Orsier, A.D. Back and S. Amari: On-line adaptive algorithms in non stationary environments using a modified conjugate gradient approach, in Proc. of IEEE Workshop on Neural Networks for Signal Processing , N.Y. Press, Sept. 1997, pp. 316-325.
  57. S.C. Douglas, A. Cichocki and S. Amari: Quasi-Newton filtered-error and filtered-regressor algorithms for adaptive equalization and deconvolution , presented at IEEE Workshop Signal Proc. Adv. Wireless Comm., Paris, April 1997, pp. 109-112. [.pdf]
  58. S.C. Douglas, A. Cichocki and S. Amari: Multichannel blind separation and deconvolution of sources with arbitrary distributions , in Neural Networks for Signal Processing, Proc. of the 1997 IEEE Workshop (NNSP-97), Sept. 1997, N.Y. IEEE Press, pp. 436-445. [.pdf]
  59. T. Lobos, A. Cichocki, P. Kostyla and Z. Waclawek: Adaptive on-line learning algorithm for robust estimation of parameters of noisy sinusoidal signals, Artificial neural networks - ICANN '97. Proceedings of 7th International Conference, Wulfram Gerstner, Lausanne, Switzerland, October 8-10, 1997, Berlin Springer-Verlag 1997, ISSN 0302-9743, pp. 1193-1198.
  60. S. Osowski, A. Majkowski and A. Cichocki: Robust PCA neural networks for random noise reduction of the data, Proc. 1977 Int. Conf. on Acoustic, Speech and Signal Processing, Munich, Germany 1997, pp. 3397 - 3400.
  61. S. Osowski, A. Cichocki, and L. Tran Hoai: Signal flow graphs in application to recurrent neural networks learning, Proc of 1997 European Conference on Circit Theory and design (ECCTD-97), Budapest, Hungary, Sept. 1997, pp. 1092-1097.
  62. R. Thawonmas and A. Cichocki: Blind extraction of source signals with specified stochastic features , in Proceedings of Int. Conference on Acoustic Speech and Signal Processing , ICASSP-97, vol.4, pp. 3353-3357.
  63. R.Thawonmas, S. Abe and A.Cichocki: A fuzzy function approximator based on partitioned hyperboxes, Joint Pacific Asian Conference on Expert Systems/Singapore International Conference on Intelligent Systems - PACES/SPICIS'97 , Singapore, February, 1997, pp. 537-544.
  64. 1998

  65. S. Amari, S.C. Douglas and A. Cichocki: Information Geometry of Blind Source Deconvolution, presented at Mathematical Theory of Networks and Systems, Padova, Italy, July 1998.
  66. A. K. Barros and A. Cichocki: A fixed point algorithm for independent component analysis which use a priori information, V-th Brazilian Symposium on Neural Networks, Dec.98, Brazil (in print).
  67. J. Cao, N. Murata, S. Amari, A. Cichocki and T. Takeda: MEG data analysis based on ICA approach with pre- & post-processing techniques", in Proceedings of 1998 International Symposium on Nonlinear Theory and its Applications (NOLTA-98), vol. 1, Switzerland Sept. 1998, pp. 287-290.
  68. S. Choi and A. Cichocki: On-line sequential multichannel blind deconvolution, a deflation approach, 8th IEEE DSP Workshop, Utah USA, 1998, 137-141.
  69. S. Choi, A. Cichocki, and S. Amari: Flexible independent component analysis, in Neural Networks for Signal Processing VIII, IEEE Press, N.Y. 1998, Proc. of the 1998 IEEE Workshop on NNSP Cambridge, UK, August 1998, pp. 83-92. [.pdf]
  70. S. Choi, A. Cichocki, and S. Amari: Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule, in Neural Networks for Signal Processing VIII, IEEE Press, N.Y. 1998, Proc. of the 1998 IEEE Workshop on NNSP Cambridge, UK, August 1998, pp. 93-102. [.pdf]
  71. S. Choi and A. Cichocki: On-line sequential multichannel blind deconvolution, a deflation approach, DSP Workshop, Utah USA, 1998, 159-162. [.pdf]
  72. A.Cichocki and J. Cao: A self-adaptive neural network for on-line blind separation of convolved sources, Proc. of III Int. Workshop- Advances in Signal Processing for NDE of Materials, in the book Topics on Non-destructive Evaluation Series, Eds. B. B.Djordjevic and H. D. Reis, The American Society for Non-destructive Evaluation Testing, Inc. Quebeck , 1998, pp. 207-212.
  73. A. Cichocki, S. Douglas, S. Amari and P. Mierzejewski: Independent component analysis for noisy data, Proc. of International Workshop on Independence and Artificial Neural Networks, Tenerife, Feb. 9 - 10, 1998, pp. 52-58.
  74. A. Cichocki, I. Sabala and S. Amari: Intelligent neural networks for blind signal separation with unknown number of sources, Proc. of Conf. Engineering of Intelligent Systems, ESI-98 Tenerife, Feb. 11-13, 1998, pp. 148-154.
  75. A. Cichocki, L. Zhang and S. Amari: Semi-blind and state-space approaches to nonlinear dynamic independent component analysis, in Proceedings of 1998 International Symposium on Nonlinear Theory and its Applications (NOLTA-98) , vol. 1, Crans-Montana, Switzerland, Sept. 1998, pp. 291-294.
  76. A. Cichocki and L. Zhang: Two-stage blind deconvolution using state-space models (Invited paper), Proceedings of the Fifth International Conference on Neural Information Processing (ICONIP'98), Kitakyushu, Japan, Oct. 21-23, 1998, pp. 729-732.
  77. S. Cruces, A. Cichocki, and L. Castedo: An unified perspective of blind source separation algorithms, Proceedings of the Learning'98 , Madrid (Spain), September 1998, (ISBN: 84-89315-11-6).  [.pdf]
  78. S.C. Douglas and A. Cichocki: Adaptive Step Size Techniques for Decorrelation and Blind Source Separation ,  Proc.    32nd Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, vol. 2, November 1998, pp. 1191-1195. [.pdf]
  79. I. Sabala, A. Cichocki and S. Amari: Relationships between instantaneous blind source separation and multichannel blind deconvolution, Proc. Int. Joint Conference on Neural Networks, Alaska USA, May 1998, pp. 148-152.
  80. L. Zhang and A. Cichocki: Blind deconvolution/equalization using state-space models, in Neural Networks for Signal Processing VIII, IEEE Press, N.Y. 1998, Proceedings of the 1998 IEEE Workshop on Neural Networks for Signal Processing (NNSP'98), Cambridge,UK, August 31- September 2, 1998, pp. 123-131. [.pdf]
  81. L. Zhang and A. Cichocki: Blind separation/deconvolution of sources using canonical stable state-space models, Proceeding of the 1998 international Symposium on Nonlinear Theory and its Applications (NOLTA'98), Crans-Montana, Sept, 14-17, 1998, pp. 927-930.
  82. L. Zhang and A. Cichocki: Information backpropagation learning algorithm for blind dynamic separation, Proceeding of IASTED International Conference Signal and Image Processing (SIP'98), October 28-31, 1998, Las Vegas, USA, pp. 3-7.
  83. L. Zhang and A. Cichocki: Blind separation of filtered source using state-space approach , Neural Information Processing Systems, NIPS'98, Denver, USA, Dec. 1998, [ .pdf ].
  84. 1999

  85. S. Amari, S.C. Douglas, and A. Cichocki: Multichannel Blind Deconvolution and Source Separation with the Natural    Gradient, Technical Report No. EE-99-002, Dept. of Electrical Engineering, Southern Methodist University, Dallas,    TX, January 1999.
  86. A.D. Back and A. Cichocki: Input variable selection using independent component analysis and higher order statistics, Proc. of the First International Workshop on Independent Component Analysis and Signal Separation - ICA'99 , Aussois, France, Janurary 11-15, 1999, pp. 203-208.
  87. J. Cao, N. Murata, S. Amari, A. Cichocki, T. Takata, H. Endo and N. Harada: Independent Source separation and localization of single-trial megnetoencephalographic data, Proc. of 1999 International Symposium on Nonlinear Theory and its Applications, Hawaii, USA, November 28 - December 2, 1999, pp. 719-722.
  88. S. Choi, S. Amari, A. Cichocki, and R. Liu: Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels, Processing of the 1st in International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, January 11-15, 1999, pp. 371-376. [.pdf]
  89. S. Choi and A. Cichocki: A hybrid learning approach to blind deconvolution of MIMO systems, Processing IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), Caesarea, Israel, IEEE Computer Society, Los Alamitos, June 14-16, 1999, pp. 292-295. [.pdf]
  90. S. Choi, A. Cichocki, and S. Amari: Two spatio-temporal deceleration learning algorithms and their application to multichannel blind deconvolutioin, ICASSP'99, Phoenix, Arizona, March 15-19, 1999, pp. 1085-1088. [.pdf]
  91. S. Choi, A. Cichocki and S. Amari: Fetal electrocardiogram data analysis via flexible independent component analysis, The 4th Asia Pacific Conference on Medical and Biological Engineering (APCMBE '99), September 12-15, 1999.
  92. S. Choi, Y. Lyu, F. Berthommier, H. Glotin and A. Cichocki: Blind separation of delayed and superimposed acoustic sources: Learning algorithm and experimental study, Proceedings of International Conference on Speech Processing (ICSP '99), Seoul, Korea, August 18-20, 1999, pp. 109-114.  [.pdf]
  93. A. Cichocki, L. Zhang, S. Choi and S. Amari: Nonlinear dynamic independent cpmponent analysis using state-space and neural network models, Proc. of the First International Workshop on Independent Component Analysis and Signal Separation - ICA'99 , Aussois, France, Janurary 11-15, 1999, pp. 99-104.
  94. A. Cichocki, J. Cao, S. Amari, N. Murata, T. Takeda and H. Endo: Enhancement and blind identification of magnetoencephalographic signals using independent component analysis, in the book Recent Advances in Biomagnetism, Proceedings of th 11th Int. Conference on Biomagentism, Tohoku University Press, Sendai, pp. 169-172.
  95. A. Cichocki, L. Zhang and T. Rutkowski: Blind separation and filtering using state space models, 1999 IEEE International Symposium on Circuits and Systems, ISCAS'99, Orlando, Florida, USA, May 30 - June 2, 1999, vol. V, pp. 78-81.
  96. A. Cichocki, S.A. Vorobyov and T. Rutkowski: Nonlinear interference cancellation using neural networks , Proc. of 1999 International Symposium on Nonlinear Theory and its Applications, Hawaii, USA, November 28 - December 2, 1999, pp. 875-878.
  97. S. Cruces, L. Castedo and A. Cichocki: An iterative inversion method for blind source separation, Proc. of the First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), Aussois, France, January 11-15, 1999, pp. 307-312. [.pdf]
  98. S.C. Douglas, A. Cichocki, and S. Amari: Self-Whitening Adaptive Equalization and Deconvolution Algorithms, Technical Report No. EE-99-001, Dept. of Electrical Engineering, Southern Methodist University, Dallas, TX, January 1999.
  99. O. Jahn, A. Cichocki, A. Ioannides and S. Amari: Identification and elimination of artifacts from MEG Signals using efficient Independent Components Analysis, in the book Recent Advances in Biomagnetism, Proceedings of th 11th Int. Conference on Biomagentism, Tohoku University Press, Sendai, pp. 224-227.
  100. L. Zhang, S. Amari and A. Cichocki: Natural gradient approach to blind separation of over- and under-complete mixtures , Proc. of the First International Workshop on Independent Component Analysis and Signal Separation - ICA'99 , Aussois, France, Janurary 11-15, 1999, pp. 455-460.
  101. L. Zhang, A. Cichocki and S. Amari: Semiparametric approach to blind Separation of dynamic systems, Proc. of 1999 International Symposium on Nonlinear Theory and its Applications, Hawaii, USA, November 28 - December 2, 1999, pp. 707-710.
  102. 2000

  103. A.K. Barros, H. Kawahara, A. Cichocki, S. Kojita, T. Rutkowski, M. Kawamoto and N. Ohnishi: Enhancement of a Speech Signal Embedded in Noisy Environment Using Two Microphones , Proceedings of the Second International Workshop on ICA and BSS, ICA'2000 , Helsinki, Finland,19-22 June, 2000, pp. 423-428.  [.pdf]
  104. J. Cao, and A. Cichocki: Independent features extraction from multivariable time series biomedical recordings. Proceedings of the IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering 2000 , pp. 185-186.
  105. J. Cao, N. Murata, S. Amari, A. Cichocki, H. Endo, N. Harada, and T. Taketa: Independent deatures analysis for MEG recorded auditory evoked fields task data. 2000 International Symposium on Nonlinear Theory and its Applications, Dresden, Germany, September 2000, pp. 257-260.
  106. S. Choi, A. Cichocki and S. Amari: Local stability analysis of flexible Independent Component Analysis algorithm , Proceedings of 2000 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2000, Istanbul, Turkey, June 5-9, 2000, pp. 3426-3429. [.pdf]
  107. S. Choi and A. Cichocki: Blind separation of nonstationary and temporally correlated sources from noisy mixtures , IEEE Workshop on Neural Networks for Signal Processing, NNSP'2000 , Sydney, Australia, December 11-13, 2000, pp. 405-414.  [.pdf]
  108. A. Cichocki. Semi blind processing: models and learning algorithms. 7th International Conference on Neural Information Processing, 2000, pp. 1353-1358.
  109. A. Cichocki: Independent component analysis for classification and independent cancellation in multisensory biomedical data. International Center of Biocybernetics World Health Organization, Center for Reserch and Training in Biocybernetics and Biomedical Engineering, Warsaw, Poland, Jun. 2000, pp. 29-39.
  110. A. Cichocki, T. Rutkowski, A. K. Barros, and S.-H. Oh: Blind Extraction of Temporally Correlated but Statistically Dependent Acoustic Signals , IEEE Workshop on Neural Networks for Signal Processing, NNSP '2000 , Sydney, Australia, December 11-13, 2000, pp. 455-464.  [.pdf]
  111. A. Cichocki and S. Vorobyov: Application of ICA for Automatic Noise and Interference Cancellation in Multisensory Biomedical Signals, Proceedings of the Second International Workshop on ICA and BSS, ICA'2000, Helsinki, Finland, June 19-22, 2000, pp. 621-626.  [.pdf]
  112. S. Cruces, L. Castedo, and A.Cichocki: Novel blind source separation algorithms using cumlant , 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, Istanbul, Turkey, Jun. 2000, pp. 3152-3155.  [.pdf]
  113. S. Cruces, A. Cichocki and L. Castedo: Blind Source Extraction in Gaussian Noise , Proceedings of the Second International Workshop on ICA and BSS, ICA'2000 , Helsinki, Finland, June 19-22, 2000, pp. 63-68.  [.pdf]
  114. R. R. Gharieb, Y. Horita, T. Murai, and A. Cichocki. Unity-gain cumulant-based adaptive line enhancer. Proceedings of the tenth IEEE workshop on stastical signal and array processing, August 14-16, 2000, Pocono Manor, Pennsylvania, USA, pp. 626-630.
  115. R. R. Gharieb, A. Cichocki, and S.F. Filipowicz: Adaptive detection and extraction of sparse signals embedded in colored Gaussian noise using higher order statistics. Proceedings of the tenth IEEE workshop on stastical signal and array processing, August 14-16, 2000, Pocono Manor, Pennsylvania, USA,, pp. 631-634.
  116. S. Oh, A. Cichocki, S. Choi, S. Amari, and S.-Y. Lee. Comparison of ICA/BSS algorithms for noisy data. 7th International Conference on Neural Information Processing, 2000, pp. 1192-1197.
  117. T. Rutkowski, A. Cichocki, and A. K. Barros: Speech Extraction from Interferences in Real Environment Using Bank of Filters and Blind Source Separation, Proceedings of the Workshop on Signal Processing Applications , 14-15 December, 2000, Brisbane, Australia, ISBN 1 86435 508 5, paper #34.  [.pdf]
  118. T. Rutkowski, A. Cichocki, and A. K. Barros: Speech Enhancement Using Adaptive Filters and Independent Component Analysis Approach , International Conference on Artificial Intelligence in Science and Technology, AISAT'2000, Hobart, Tasmania, 17-20 December, 2000, pp. 191-196.  [.pdf]
  119. S. A. Vorobyov, and A. Cichocki: Self-excited oscillations and period doubling condition in Hopfield neural network.2000 2nd International Conference, control of Oscillations and Chaos, 2000, pp. 197-200.
  120. L. Zhang and A. Cichocki: Natural gradient approach to blind deconvolution of dynamical systems, Proceedings of the Second International Workshop on ICA and BSS, ICA'2000, Helsinki, Finland, June 19-22, 2000, pp. 27-32.
  121. L. Zhang, A. Cichocki and S. Amari. Semiparametric approach for blind deconvolution of nonminimum phase systems. NIPS'99, Advance in Neural Information Processing 12, edited by S.A. Solla, T.K. Leen and K.-R. Muller, MIT Press, 2000, pp. 363-369.
  122. L. Zhang, A. Cichocki and S. Amari: Kalman filter and state-space approach to multichannel blind deconvolution, IEEE Workshop on Neural Networks for Signal Processing, NNSP '2000, Sydney, Australia, December 11-13, 2000, pp. 425-434.
  123. 2001

  124. A. Bousbia-Salah, A. Belouchrani and A. Cichocki: Application of time-frequency distributions to the independent component analysis of ECG signals, Proceedings of Sixth International Symposium on Signal Processing and its Applications , August'2001, pp.238-241.
  125. J. Cao, N. Murata, S. Amari, A. Cichocki and T. Takeda: A robust ICA approach for unaveraged single-trial auditory evoked fields data decomposition, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 445-450.
  126. S. Choi, A. Cichocki, and Y. Deville: Differential decorrelation for nonstationary source separation, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 319-322.
  127. S. Choi and A. Cichocki: Correlation matching approach to source separation in the presence of spatially correlated noise, Proceedings of International Symposium on Signal Processing and Applications (IEEE ISSPA2001), Kuala-Lumpur, Malaysia, August 13-16, 2001.  [.pdf]
  128. S. Choi, A. Cichocki, L. Zhang and S. Amari: Approximate maximum likelihood source separation using the natural gradient, Proceedings of the 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01), March'2001, pp. 235-238.  [.pdf]
  129. S. Choi, A. Cichocki and A. Belouchrani: Blind separation of second-order nonstationary and temporally colored sources, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, August'2001, pp. 444-447.  [.pdf]
  130. A. Cichocki and A. Belouchrani: Sources separation of temporally correlated sources from noisy data using bank of band-pass filters, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 173-178.
  131. A. Cichocki, R.R. Gharieb and N. Mourad: Extraction of superimposed evoked potentials by combination of independent component analysis and cumulant-based matched filtering, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, August'2001, pp.237-240.
  132. A. Cichocki, R. R. Gharieb, and T. Hoya: Efficient extraction of evoked potentials by combination of Winer filtering and subspace methods , IEEE Int. Conf. Acoust., Speech, Signal Processing, ICASSP-2001, May 2001, Utah, USA, Vol. 5, pp. 3117-3120.  [.pdf]
  133. S. Cruces, A. Cichocki, S.-I. Amari: The minimum entropy and cumulant based contrast functions for blind source extraction, in the book Bio-Inspired Applications of Connectionism, J. Mira & A. Prieto Editors, Lecture Notes in Computer Science , Springer-Verlag. [6th International Work-Conference on Artificial and Natural Neural Networks (IWANN'2001)], vol. II, Granada, Spain, June 2001. (ISBN: 3-540-42237-4, ISSN: 0302-9743), pp. 786-793.
  134. S. Cruces, A. Cichocki, S-I. Amari: Criteria for the simultaneous blind extraction of arbitrary groups of sources, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 740-745.  [.pdf]
  135. P. Georgiev and A. Cichocki: Multichannel blind deconvolution of colored signals via eigenvalue decomposition, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, August'2001, pp. 273-276.
  136. P. Georgiev and A. Cichocki: Blind source separation via symmetric eigenvalue decomposition, Proceedings of Sixth International Symposium on Signal Processing and its Applications, August'2001, pp.17-20.
  137. P. Georgiev, A. Cichocki and S. Amari: On Some Extensions of the Natural Gradient Algorithm, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 581-585.
  138. P. G. Georgiev, A. Cichocki and S. Amari: Nonlinear dynamical system generalizing the natural gradient algorithm, Proceedings of 2001 International Symposium on Nonlinear Theory and its Applications, Miyagi, Japan, 2001, pp. 391-394.
  139. R. R. Gharieb and A. Cichocki: On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter , IEEE Int. Conf. Acoust., Speech, Signal Processing, ICASSP-2001, May 2001, Utah, USA, Vol. 2, pp. 1061-1064. [.pdf]
  140. Y. Li, A. Cichocki and L. Zhang: Blind separation of digital sources, Neural Information Processing (ICONIP 2001 Proceedings), Fudan Univ. Press, Shanghai 2001, pp. 1018-1022.
  141. N. Mourad, R. R. Gharieb and A. Cichocki: Extended flexible independent component analysis, Proceedings of the 1st IEEE Symposium on Signal Processing and Information theory (ISSIT-2001), December 28-30, 2001, Cairo, Egypt, pp. 305-310.
  142. T. Rutkowski, A. Cichocki and A. K. Barros, Speech enhancement from interfering sounds using CASA techniques and blind source separation, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 728-733.
  143. L. Zhang, S. Amari and A. Cichocki: Equi-convergence Algorithm for blind separation of sources with arbitrary distributions, In the book Bio-Inspired Applications of Connectionism, Lecture Notes in Computer Science , Springer-Verlag. [6th International Work-Conference on Artificial and Natural Neural Networks (IWANN'2001)], vol. II, LNCS 2085, J. Mira & A. Prieto (Eds), Springer, 2001, pp. 826-833.
  144. L. Zhang, A. Cichocki: Feature extraction and blind separation of convolutive signals, Neural Information Processing (ICONIP'2001 Proceedings) , Fudan Univ. Press, Shanghai, pp. 789-794.
  145. L. Zhang, A. Cichocki: Sparse representation and blind deconvolution of dynamical systems, 3rd International Conference on Independent Component Analysis and Signal Separation, San Diego California, December 9-13, 2001, pp. 284-289.
2002
  1. S. Choi, A. Cichocki and S. Amari: Natural gradient learning for second-order nonstationary source separation, in Proc. IJCNN2002, Honolulu, Hawaii, May 12-17, pp. 654-658.
  2. A. Cichocki: Generalized independent component analysis and its applications in processing of multisensory biomedical data, Proc. of IVth International Workshop Computational Problems of Electrical Engineering, Warszawa, Poland, 2002, pp. 13-24.
  3. A. Cichocki, T. Rutkowski and K. Siwek: Blind signal extraction of signals with specified frequency band, International Workshop on Neural Network for Signal Processing, Martigny, Switzerland, Sept. 4-7, 2002, pp. 515-524.
  4. A. Cichocki, K. Siwek, R. Szupiluk and L. Moszczynski: Blind signal extraction for multisensory biomedical signals, Proc. of International Conference on Fundamentals of Electrotechnics and Circuit Theory, Gliwice-Ustron, Poland, 2002, pp. 455-459. [.pdf]
  5. A. Cichocki and P. Georgiev: Blind identification problems with constraints, International Workshop on Neural Network for Signal Processing, Martigny, Switzerland, Sept.4-7, 2002, pp. 535-544.
  6. P. Georgiev and A. Cichocki: Robust blind source separation utilizing second and fourth order statistics, International Conference on Artifical Neural Networks (ICANN2002), Madrid, August 27-30, Lect. Notes Comp. Sci. 2415, pp. 1162-1167,  2002. [.pdf]
  7. P. Georgiev and A. Cichocki: On Some New Ideas and Algorithms for Independent Component Analysis, Proceedings of the Workshop on Nonlinear Analysis and Convex Analysis, Research Institute for Mathematical Sciences, Kyoto, Japan, August 28-30, RIMS Kokyuroku 1246, pp.19-30, 2002.
  8. P. Georgiev and A. Cichocki: Robust Blind Source Separation and Dispersing Algorithms, Proceedings of the International Conference on Acoustics Speech and Signal Processing, Orlando, Florida, May 13-17, pp. I-997 - I-1000, 2002.
  9. Y. Li, A. Cichocki and L. Zhang: Blind Deconvolution for Dynamic Systems with signal binary source input, Proceedings of 2002 IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Taiwan.
  10. J. C. Rajapakse, A. Cichocki, and D. Sanchez: ICA in Brain Imaging: fMRI, EEG, and MEG, International Conference on Neural Information Processing, (ICONIP2002), Nov.2002, Singapore, pp. 404-412, 2002.
  11. J. C. Rajapakse, A. Cichocki and K. Siwek: Non-independent strategies for blind source separation in functional MRI, Proc. of the 9th International Conference on Neural Information Processing (ICONIP'02), 2002, pp. 1654-1660.
2003
  1. A. K. Barros, A. Cichocki and N. Ohnishi: Neural coding by temporal and spatial correlations, Proc. of International Meeting of the Psychometric Society (IMPS-2001), 2003, pp. 673-680.
  2. A. Cichocki: Semi-blind extraction and decomposition of multi-sensory signals-recent trends and perspective, Proc. of XIII Int. Symposium on Theoretical Electrical Engineering (ISTET03), Warsaw, Poland, 2003, pp. 1-20.
  3. A. Cichocki: Blind signal processing in application to biomedical signals, images and time series analysis: models and learning algorithms, From Quanta to Societies: Proceedings of 2nd European Interdisciplinary School on Nonlinear Dynamics for System and Signal Analysis (EUROATTRACTOR 2001), Pabst Science Publishers, Lengerich, Germany, 2003, pp.107-122.
  4. S. A. Cruces and A. Cichocki: A projection pursuit methodology for blind signal extraction, Proc. of 13th international meeting of the Psychometric society,  (IMPS2003), Cagliari, Italy, 2003.
  5. S. A. Cruces-Alvarez and A. Cichocki: Globally convergent Newton algorithms for blind decorrelation, Proc. of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan,  421-426. [.pdf]
  6. S. A. Cruces-Alvarez and A. Cichocki: Combining blind Source extraction with joint approximate diagonalization: Thin Algorithms for ICA , Proc. of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan, 463-468. [.pdf]
  7. A. Funase, A. K. Barros, S. Okuma, T. Yagi and A. Cichocki: Research of saccade-related EEG: Comparison of ensemble averaging method and Independent Component Analysis, Proc. of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan, pp. 867-872. [.pdf]
  8. P. Gr. Georgiev and A. Cichocki: Sparseness theorems and sparse representation of signals, Proceedings of RIMS (Research Institute of Mathematical Sciences, Symposium on "Nonlinear Analysis and Convex Analysis" Kyoto University, Sep.16-18, 2003 (in press).
  9. T.  Hoya, A.  Cichocki, T. Tanaka, T. Murakami, J.A. Chambers: A Combined Cascading Subspace and Adaptive Signal Enhancement Method for Stereophonic Noise Reduction, Proc. of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan, pp. 573-578. [.pdf]
  10. T. Hoya, A. Kardec Barros, T. Rutkowski and A. Cichocki: Speech extraction based upon a combined subband Independent Component Analysis and neural memory, Proc. of  Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan, 355-360. [.pdf]
  11. J. Karvanen and A. Cichocki: Measuring sparseness of noisy signals, Proc. of  Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan,  pp. 125-130. [.pdf]
  12. Y. Li and A. Cichocki: Sparse representation of images using alternating linear programming, Proc. of 7th International Symposium on Signal Processing and Its Applications (ISSPA2003), Tampere, Finland, 2003, pp. 57-60.
  13. Y. Li and A. Cichocki: Non-negative matrix factorization and its application in blind sparse source separation with less sensors than sources, Proc. of XIII Int. Symposium on Theoretical Electrical Engineering (ISTET03), Warsaw, Poland, 2003, pp. 285-288.
  14. Y. Li, A. Cichocki and S. Amari: Sparse Component Analysis for Blind Source Separation with Less Sensors Than Sources, Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan, 2003. pp.89-94.  [.pdf]
  15. Y. Li, A. Cichocki and L. Zhang: Blind Deconvolution for Binary Sources: A Grouping Decision Approach, IEEE International Conference on Acoustics, Speech and Signal Processing, Hong Kong, 2003.
  16. Y. Li, A. Cichocki, S. Amari, S. Shishkin, J. Cao and F. Gu: Sparse representation and its applications in blind source separation, in Seventeenth Annual Conference on Neural Information Processing Systems, (NIPS-2003), Vancouver, December 14-16, 2003 (in print).
  17. Y. Li, J. Wang and A. Cichocki: Blind source extraction for ill-conditioned dynamic multi-input multi-output channels, Proceedings of KSS'2003 & MCS'2003 on Knowledge and Systems Sciences: Towards Meta-Synthesis Support for Decision Making, Hong Kong, China, Global-Link Publisher, 2003, pp. 256-260.
  18. D.  Mandic and A.  Cichocki: An online algorithm for blind extraction of sources with different dynamical structures,  Proc. of Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan,   645-650. [.pdf]
  19. D. Mandic, Cichocki A. and U. Manmontri: An on-line algorithm for blind source extraction based on nonlinear prediction approach, Proc. of 2003 IEEE International Workshop on Neural Networks for Signal Processing, September 17-19, Toulouse, France, 2003, pp. 429-438.
  20. 2004

  21. A. Cichocki, Y. Li, P. Georgiev and S. Amari: Beyond ICA: Robust sparse signal representations, IEEE International Symposium on Circuits and Systems (ISCAS 2004), Vancouver, Canada, May 23-26, 2004, vol. V, pp. 684-687.
  22. A. Cichocki, S. Osowski, and K. Siwek: "Prewhitening Algorithms of Signals in the Presence of White Noise", Proceedings of 6th International Workshop Computational Problems of Electrical Engineering, 205-208 (2004).
  23. S. A. Cruces-Alvarez, A. Cichocki and L. De Lathauwer: Thin QR and SVD factorizations for simultaneous blind signal extraction, Proceedings of the European Signal Processing Conference (EUSIPCO), (Vienna, Austria), pp. 217-220, 2004. (ISBN: 3-200-00165-8).  [.pdf]
  24. P. Georgiev and A. Cichocki: Sparse component analysis of overcomplete mixtures by improved basis pursuit method, IEEE International Symposium on Circuits and Systems (ISCAS 2004), Vancouver, Canada, May 23-26, 2004, vol. V, pp. 37-40.
  25. P.G. Georgiev, A. Cichocki and H. Bakardjian: Optimization Techniques for ICA with Applications to EEG, Quantitative Neuroscience, Pardalos et al (eds.), Kluwer Academic Press, 2004, pp. 53-68.
  26. P. Georgiev, F. Theis and A. Cichocki: Blind Source Separation and Sparse Component Analysis of overcomplete mixtures, International Conference on Acoustics and Statistical Signal Processing (ICASSP 2004), Montreal, Canada, May 17-21, 2004, vol. V, pp. 493-496.
  27. T. Hoya, T. Tanaka, T. Murakami, and A. Cichocki, "Stereophonic noise reduction by a combined multi-stage sliding subspace projection and adaptive signal enhancement," in IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2004), IFAC, Elsevier, 421-426 (2004).
  28. Y. Li, A. Cichocki, S. Amari, S. Shishkin, J. Cao, and F. Gu: "Sparse Representation and its Applications in Blind Source Separation", Advances in Neural Information Processing Systems 16, The MIT Press, 241-248 (2004).
  29. W. Nakamura, K. Anami, T. Mori, O. Saitoh, A. Cichocki and S. Amari: Removing ballistocardiogram artifact from EEG data recorded simultaneously with fMRI data by independent component analysis, Proceedings of 10th Annual Meeting of the Organization for Human Brain Mapping, 2004. (in press).
  30. T. Tanaka and A. Cichocki: Subband decomposition independent component analysis and new performance criteria, International Conference on Acoustics and Statistical Signal Processing (ICASSP 2004), Montreal, Canada, May 17-21, 2004, vol. V, pp. 541-544.  [.pdf]
  31. F. Theis, P. Georgiev and A. Cichocki: Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform, 12-th European Symposium on Artificial Neural Networks, ESANN 2004, Bruges, Belgium, April 28-30, 2004, pp. 343-348. [.pdf]
  32. F.J. Theis, P.G. Georgiev, and A. Cichocki: "Blind Source Recovery: Algorithms Comparison and Fusion", Proceedings of 24th International Workshop on Bayesian Inference and Maximum Entropy Methods, CD-ROM (2004).
2005
  1. A. Cichocki: "Blind source separation: New tools for extraction of source signals and denoising", in Proceedings of SPIE, Vol. 5818, pp. 11-24, Special Session: Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, edited by Harold H. Szu, (SPIE, Bellingham, WA, 2005) · 0277-786X/05/$15 · doi: 10.1117/12.606876 [.pdf]
  2. A. Funase, T. Yagi, A. Barros, A. Cichocki, and I. Takumi: "Comparison of Saccade-related EEG Signal with Saccade-related Independent Component", Proceedings 27th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC2005), CD-ROM (2005).
  3. W. Liu, D. P. Mandic, and A. Cichocki: "A class of blind source separation algorithms based on a linear prediction". in Proceedings of International Symposium Circuits and Systems, ISCAS-2005, Kobe, May 2005, pp 3599-3602. [.pdf]
  4. S. Shishkin, A. Kaplan, H. Bakardjian, and A. Cichocki: "Combining the Extremities on the Basis of Separation: a New Approach to EEG/ERP Source Localization", International Congress Series 1278 Neurology- Unveiling the Mystery of the Brain, 119-112 (2005)
  5. T. Tanaka: "Optimal Design for Synthesis Filters of Oversampled Uniform Perfect Reconstruction Filter Banks with 50% Overlapping", Proceedings of International Conference on Image Processing (ICIP), 3049-3052 (2005).
  6. F. Vialatte, A. Cichocki, G. Dreyfus, T. Musha, T. Rutkowski, and R. Gervais, "Blind source separation and sparse bump modelling of time frequency representation of EEG signals: New tools for early detection of Alzheimer's disease", Proceedings of  the 2005 IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP2005, Mystic CT, USA, September 2005,  pp. 27-32
    [.pdf]
  7. L. Zhao, J. Cao, T. Hoya, and A. Cichocki: "Analysis of Single-Trial EEG Data Using a Combined Robust Pre-Whitening Technique and ICA Approach", Proceedings of IEEE International Workshop VLSI Design & Video Technology, 238-242 (2005)
  8. L. Zhao, J. Cao, T. Hoya, and A. Cichocki: "Dynamic Brain Sources of Single-Trial Auditory Evoked Potentials Data Using Complex ICA Approach", Proceedings of 27th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC05), CD-ROM (2005).
2006
  1. Z. Chen, A. Cichocki, and T.M. Rutkowski, "Constrained Non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer's Disease",  2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2006, May 14-19, 2006, Toulouse, France, 893-896 (2006).
    [.pdf]
  2. S. Choi, J.H. Ahn, and A. Cichocki: "Iterative Projection Approximation Algorithms for PCA", Proceedings of 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 845-848 (2006).
  3. A. Cichocki, R. Zdunek, and S. Amari: "New Algorithms for Non-negative Matrix Factorization in Applications to Blind Source Separation", Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 621-624 (2006).
  4. A. Funase, H. Nakatani, M. Mouri, T. Yagi, A. Cichocki, and I. Takumi: "Single-Trail EEG Processing for Brain Computer Interface", Proceedings of World Congress on Medical Physical and Biomedical Engineering (WC2006), 951-954 (2006).
  5. A. Funase, T. Yagi, A.K. Barros, A. Cichocki, and I. Takumi: "Single Trial Method for Brain-Computer Interface", Proceedings of 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5277-5281 (2006).
  6. H. Geerdes, A. Eisenblatter, P. Slobodzian, M. Iwamura, M. Dohler, R. Zdunek, P. Gould, and M. Nawrocki: "Theoretical Models for UMTS Radio Networks",  Understanding UMTS Radio Network: Modeling, Planning and Automated Optimizations, John Wiley and Sons, 115-175 (2006).
  7. Z. He, A. Cichocki, and S.L. Xie: "K-Hyperplanes Clustering and Its Application to Sparse Component Analysis", Part I of Proceedings of 13th International Conference on Neural Information Processing (ICONIP06), 1038-1047 (2006).
  8. Z. He, and A. Cichocki,  "K-EVD Clustering and its Applications to Sparse Component Analysis", 6th International Conference on Independent Component Analysis and Blind Signal Separation, Charleston SC, USA, March 5-8, 2006,  Springer LNCS 3889,  pp.90-97 [link]
  9. W. Liu, D. Mandic, and A. Cichocki: "An Analysis of the CCA Approach for Blind Source Separation and Its Adaptive Realization", Proceedings of 2006 IEEE International Symposium on Circuits and Systems (ISCAS06), 3590-3593 (2006).
  10. W. Liu, D. Mandic, and A. Cichocki: "Blind Source Extraction of Instantaneous Noisy Mixtures Using a Linear Predictor", Proceedings of 2006 IEEE International Symposium on Circuits and Systems (ISCAS06), 4199-4202 (2006).
  11. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, M. Hata: "Global Signal Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis", Proceedings of 14th European Signal Processing Conference (EUISIPCO06), pp. 1568982200-1 - 1568982200-5, (2006).
  12. K. Ohno, A. Funase, A. Cichocki, and I. Takumi: "Analysis of EEG Signals in Memory Guided Saccade Tasks", Proceedings of World Congress on Medical Physical and Biomedical Engineering, 2544-2547 (2006).
  13. R. Szmurlo, J. Starzynski, B. Sawicki, S. Wincenciak, and A. Cichocki: "Biodomain Formulation for Modeling Brain Activity Propagation", Proceedings of 12th Biennial IEEE Conference on Electromagnetic Field Computation, 348 (2006).
  14. Y. Washizawa, and A. Cichocki, "On Line K-Plane Clustering Learning Algorithm for Sparse Component Analysis", 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2006, May 14-19, 2006, Toulouse, France, 681-684 (2006). [.pdf]
2007
  1. H. Bakardian, P. Martinez, and A. Cichocki: "Dynamic Online Target Control of SSVEP-Based Brain-Computer Interface with Multiple Commands", Proceedings of NEURO 2007 (2007).
  2. H. Bakardjian, P. Martinez, and A. Cichocki: "Multi-command on-line EEG Brain Machine Interface Using Steady State Visual Evoked Potentials", Proceedings of RIKEN Symposium °»Brain Activity and Information Integration°… (2007).
  3. M. Chen, D. P. Mandic, T. M. Rutkowski, and A. Cichocki, °»Signal modality characterisation of EEG with response to steady-state auditory and visual BCI paradigms,°… in Proceedings of the 2007 IEEE International Workshop on Machine Learning for Signal Processing, (Thessaloniki, Greece), IEEE, August 27-29, 2007, pp. 223-228.
  4. A. Cichocki, M. Jankovic, R. Zdunek, S. Amari, "Sparse Super Symmetric Tensor Factorization", In: 14th International Conference on Neural Information Processing, ICONIP07, Kitakyushu, Japan, November 13-16, 2007, Lecture Notes in Computer Science, Springer, (in press), 2007. [.pdf]
  5. A. Cichocki, A-H. Phan, R. Zdunek, L.-Q. Zhang, "Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation", In: 14th International Conference on Neural Information Processing,  ICONIP07, Kitakyushu, Japan, 13-16 November 13-16, 2007, Lecture Notes in Computer Science, Springer, (in press), 2007. [.pdf]
  6. A. Cichocki, R. Zdunek, and S. Amari, "Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization",  In: Independent Component Analysis, ICA07, London, UK, September 9-12, 2007, Lecture Notes in Computer Science, Vol. 4666, Springer, pp. 169-176, 2007. [.pdf]
  7. A. Cichocki, R. Zdunek, R. Plemmons, and S. Amari, "Novel Multi-layer Nonnegative Tensor Factorization with Sparsity Constraints", In: Adaptive and Natural Computing Algorithms, ICANNGA-2007, Warsaw, Poland, April 11-14, 2007, Lecture Notes in Computer Science, Vol. 4432, Springer, pp. 271-280, 2007 [.pdf]
  8. A. Cichocki and R. Zdunek, "Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorizations", In: Advances in Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Lecture Notes in Computer Science, Vol. 4493, Springer, pp. 793-802, 2007 [pdf]
  9. A. Cichocki, R. Zdunek, S. Choi, R. Plemmons and S. Amari, Non-negative Tensor Factorization using Alpha and Beta Divergences,  International Conference on Acoustics, Speech, and Signal Processing (ICASSP 07), Honolulu, Hawaii, USA, April 15-20, 2007, pp. 1393–1396. [.pdf]
  10. J. Dauwels, F. Vialatte, and A. Cichocki, "A novel measure for synchrony and its application to neural signals", in Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2007, vol. IV, April 15–20, 2007, Honolulu, Hawaii, U.S.A., pp. 1165–1168.
  11. J. Dauwels, F. Vialatte, and A. Cichocki: "On a Novel Measure for Synchrony and its Application to EEG", Proceedings of Neuro 2007, Neuroscience Research, 58 (2007).
  12. A. Funase, T. Hashimoto, T. Yagi, A. Barros, A. Cichocki, and I. Takumi: "Research for Estimation Direction of Saccadic Eye Movements by Single Trial Processing", Proceedings of the 29th Annual International Conference of the IEEE EMBS, 4723-4726 (2007).
  13. A. Funase, T. Yagi, A.K. Barros, A. Cichocki, and I. Takumi: "Single Trial Analysis on Saccade-related EEG Signal", Proceedings of The 3rd International IEEE EMBS Conference on Neural Engineering, 371-374 (2007).
  14. P. Georgiev, F. Theis, A. Cichocki, and H. Bakardjian: "Sparse Component Analysis: a New Tool for Data Mining", Data Mining in Biomedicine, Kluwer Academic Publishers (2007).
  15. Z. He and A. Cichocki: "An Efficient K-Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis", Part II of Proceedings of 4th International Symposium on Neural Networks (ISNN07), 1032-1041 (2007).
  16. P. Martinez, H. Bakardjian, and A. Cichocki, "Multi-command Real-time Brain Machine Interface Using SSVEP: Feasibility Study for Occipital and Forehead Sensor Locations",Proceedings of the First International Conference on Cognitive Neurodynamics, November 17-21, 2007, Shanghai, China, LNCS, vol. (tba), Springer Berlin & Heidelberg, 2007 p. (tba, in press).
  17. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, and M Hata: "Applying Non-negative Matrix Factorization for Global Signal Elimination from Electromagnetic Signals,'' Proceedings of the 15th European Signal Processing Conference, 15th European Signal Processing Conference (EUSIPCO 2007), 2444-2448 (2007).
  18. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, and M. Hata: "Reduction of False Detection for ELF Band Environmental Electromagnetic Signals by Global Signal Elimination,'' The 2007 IEICE Society Conference, Proceedings of the 2007 IEICE Society Conference, S30-S31 (2007).
  19. M. Mouri, A. Funase, A. Cichocki, I. Takumi, H. Yasukawa, and M. Hata: "Reduction of Anomaly False Detection by using Global Signal Elimination from Environmental Electromagnetic Signals,'' The 30th Symposium on Information Theory and its Applications", Proceedings of the 30th Symposium on Information Theory and its Applications (SITA 2007), 515-520 (2007).
  20. T.M. Rutkowski, A. Cichocki, and D. Mandic: "EMD Analysis of Multichannel EEG Data", Proceedings of the 22nd SIP Symposium, 149-154 (2007).
  21. T.M. Rutkowski, J. Dauwels, F. Vialatte, A. Cichocki, and D. Mandic: "Time-frequency and Synchrony Analysis of Responses to Steady-state Auditory and Musical Stimuli from Multichannel EEG", Proceedings of 21st Annual Conference On Neural Information Processing Systems (NIPS2007) (in press 2007).
  22. T. Tanaka, S. and Fiori: "Least Squares Approximate Joint Diagonalization on the Orthogonal Group", Proceedings of 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, II-649-652 (2007).
  23. F.B. Vialatte, J. Sol°≠e-Casals, A. Cichocki, "EEG windowed statistical wavelet deviation for estimation of muscular artifacts", in Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2007, vol. IV, April 15–20, 2007, Honolulu, Hawaii, U.S.A., pp. 1161–1164.
  24. Y. Washizawa, Y. Yamashita, T. Tanaka, and A. Cichocki.: "Extraction of Steady State Visually Evoked Potential Signal and Estimation of Distribution Map from EEG Data", Proceedings of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5449-5451 (2007).
  25. Y. Washizawa, Y. Yamashita, T. Tanaka, and A. Cichocki: "Extraction of the Global Signal from Multi-channel Noisy Signals and its application in EEG Processing", IEICE Technical Report SIP 2007-21, Vol. 107, No. 64, 61-66 (2007).
  26. J. Xu, H. Bakardjian, A. Cichocki, and J. Principe: "A New Nonlinear Similarity Measure for Multichannel Biological Signals", Proceedings of International Joint Conference on Neural Networks (IJCNN 2007), 2046-2051 (2007).
  27. J. Yang, Y. Konno, and J. Cao: "Analysis of Real-Measured EEG Data from Coma and Brain-Death Patients", Proceedings of 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP07), pp. 385-388, (2007).
  28. R. Zdunek, and A. Cichocki: "Gibbs Regularized Nonnegative Matrix Factorization for Blind Separation of Locally Smooth Signals", Proceedings of the 15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems NDES°«07, 317-320 (2007).
2008
  1. A. Cichocki, A-H. Phan, and C. Caiafa: "Flexible HALS Algorithms for Sparse Non-negative Matrix/Tensor Factorization", Proceedings of 2008 IEEE International Workshop on Machine Learning for Signal Processing, 73-78 (2008). [pdf]
  2. J. Dauwels, T.M. Rutkowski, F. Vialatte, and A. Cichocki, "On the synchrony of empirical mode decompositions with application to electroencephalography,"  in Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2008, (Las Vegas, Nevada, U.S.A.), pp. 473-476, IEEE, March 30 - April 4, 2008.
  3. J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki: "Quantifying the Similarity of Multiple Multi-dimensional Point Processes by Integer Programming with Application to Early Diagnosis of Alzheimer°«s Disease from EEG", Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08), 2657-2660 (2008).
  4. A. Funase, M. Mouri, T. Yagi, A. Cichocki, and I. Takumi: "Analysis on Saccade-related Independent Components by various ICA algorithms", Proceedings of 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS&ISIS08), 456-459 (2008).
  5. Z. He and A. Cichocki: "Sparse Representation of L-order Markov Signals", Proceedings of 2008 International Symposium on Nonlinear Theory and its Applications (NOLTA08), 203-206 (2008).
  6. Z. He, A. Cichocki, R. Zdunek, and J. Cao: "CG-M-FOCUSS and its Application to Distributed Compressed Sensing", Part I of Proceedings of 5th International Symposium on Neural Networks (ISNN08), 237-245 (2008).
  7. Y.-D. Kim, A. Cichocki, and S. Choi,"Nonnegative Tucker decomposition with alpha-divergence," in Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2008, (Las Vegas, Nevada, U.S.A.), pp. 1829-1832, IEEE, March 30 - April 4, 2008. [pdf]
  8. C. Latchoumane, F. Vialatte, A. Cichocki, J. Jeong: "Multiway Analysis of Alzheimer°«s disease: Classification Based on Space-frequency Characteristics of EEG time series", Proceedings of the World Congress on Engineering 2008, 1646-1649 (2008).
  9. D. Looney, L. Li, T. M. Rutkowski, D. P. Mandic, and A. Cichocki, °»Ocular artifacts removal from EEG using EMD,°… in Advances in Cognitive Neurodynamics ICCN 2007 Proceedings of the International Conference on Cognitive Neurodynamics (R. Wang, F. Gu, and E. Shen, eds.), pp. 831–835, Springer Berlin & Heidelberg, 2008.
  10. M. Mouri, A. Funase, I. Takumi, A. Cichocki, H. Yasukawa, and M. Hata: "Improvement of Earthquake Prediction by Using Global Signal Elimination from Environmental Electromagnetic Signals", Proceedings of the 2008 IEEE International Geosciences and Remote Sensing Symposium, V566-V569 (2008).
  11. M. Mouri, A. Funase, I. Takumi, A. Cichocki, H. Yasukawa, and M. Hata: "Effectiveness of Global Signal Elimination from Environmental Electromagnetic Signals for Earthquake Prediction", Proceedings of the 2008 International Symposium on Information Theory and its Applications (ISITA08), 1128-1133 (2008).
  12. A-H. Phan, A. Cichocki, N-S. Kim: "Simple and Efficient Algorithms for Distributed compressed sensing", Proceedings of the 2008 IEEE International Workshop on Machine Learning for Signal Processing, 61-66 (2008).
  13. A-H. Phan, A. Cichocki, and N-S. Kim: "Novel approach for multidimensional data reconstruction and compression", Proceedings of the 2008 International Conference on Advanced Technologies for Communications, 55-58 (2008).
  14. T.M. Rutkowski, A. Cichocki, and D. P. Mandic, °»Analysis of brain responses to musical, steady-state auditory and environmental noise stimuli - A BMI feature extraction approach,°… Neurocience Research, vol. 61, no. 1, Suplement 1, p. S252, 2008.
  15. T.M. Rutkowski, A. Cichocki A, and D. Mandic: "Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach", Signal Processing Techniques for Knowledge Extraction and Information Fusion, 261-273 (2008).
  16. T.M. Rutkowski, D. Erickson, J.-H. Han, T. Shochi, and A. Cichocki, °»Cross-linguistic comparison of EEG dynamics of vocally and visually-expressed affective speech as it pertains to BCI,°… in Abstracts of the 53rd Annual Meeting of the Japan Society of Logopedics and Phoniatrics, (Mihara, Japan), p. 61, October 23-24, 2008.
  17. T.M. Rutkowski, T. Toshihisa, A. Cichocki, and D.P. Mandic, °»Clustering EMD components for muscular interference separation from EEG - a time/frequency approach with different distance measures,°… in Proceedings of 23rd SIP Symposium, (Kanazawa), pp. 52–57, IEICE, November 12–14, 2008.
  18. T.M. Rutkowski, A. Cichocki, T. Tanaka, A. L. Ralescu, and D.P. Mandic, °»Spectral patterns clustering of EMD components extracted from EEG channels in application to neurophysiological signals separation,°… in Neural Information Processing 15th International Confernce, ICONIP 2008, Lecture Notes in Computer Science, pp. (accepted, in press), Springer-Verlag Berlin Heidelberg, November 25-28, 2008.
  19. J. Sole-Casals, F. Vialatte, A. Cichocki: "Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease", Proceedings of BIOSIGNALS 2008: International Conference on Bio-inspired Systems and Signal Processing, 232-235 (2008)
  20. F. Vialatte, J. Dauwels, T.M. Rutkowski, and A. Cichocki: "Oscillatory Event Synchrony During Steady State Visual Evoked Potentials", Advances in Cognitive Neurodynamics, 439-442 (2008).
  21. Y. Washizawa, Y. Yamashita, T. Tanaka, and A. Cichocki, "Blind Global Source Extraction from Noisy Observations", Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing (NSCP), 184-187 (2008).

    2009

  22. C. Caiafa and A. Cichocki: "Reconstructing Matrices and Tensors from Few Rows and Columns", Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications (in press 2009).
  23. J. Dauwels, F. Vialatte, T. Rutkowski, A. Cichocki: "Measuring Neural Synchrony by Message Passing",  Proceedings of the 21st Annual Conference on Neural InformationProcessing Systems (NIPS 2007) (in press 2009).
  24. C. Latchoumane, F. Vialatte, J. Jeong, and A. Cichocki: "Classification of Early Alzheimer°«s Disease PARAFAC Decomposition of Spectral-spatial Characteristics of EEG Time Series", Advances in Electrical Engineering and Computational Science (in press 2009).
  25. P. Martinez, H. Bakardjian, and A. Cichocki: "Multi-command Real-time Brain Machine Interface Using SSVEP: Feasible Study for Occipital and Forehead Sensor Location", Proceedings of the 1st International Conference on Cognitive Neurodynamics (ICCN & SCIPB°«07) (in press 2009).
  26. A.H. Phan and A. Cichocki: "Analysis of Interactions Among Hidden Components for Tucker Model", 2009 APSIPA Annual Summit and Conference, October 4 - 7, 2009, Sapporo Convention Center, Sapporo, Japan, (in press, 2009) [pdf]
  27. T.M.  Rutkowski, A. Cichocki, T. Tanaka, D.P. Mandic, J. Cao, A.L. Ralescu, "Multichannel spectral pattern separation - An EEG processing application," in Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP2009, (Taipei, Taiwan), pp. pp. 373-376, IEEE, April 19-24, 2009.
  28. T.M.  Rutkowski, A. Cichocki, T. Tanaka, D.P. Mandic, J. Cao, "Multichannel Spectral Pattern Separation - A Nonlinear Approach to EEG Signals from Interferences Separation in Frequency Domain," Proceedings of the 2009 RISP International Workshop on Nonlinear Circuits and Signal Processing, (Honolulu, Hawaii), pp. 439-442, March 1-3, 2009.
  29. T.M. Rutkowski, J. Dauwels, F. Vialatte, abd A. Cichocki: "Mandic D. Time-frequency and Synchrony Analysis of Responses to Steady-State Auditory and Musical Stimuli from Multichannel EEG", Proceedings of 21st Annual Conference on Neural Information Processing Systems (NIPS2007) (in press 2009).
  30. J. Sole-Casals, F. Vialatte, Z. Chen, and A. Cichocki: "Coherency and Sharpness Measures by Using ICA Algorithms",  Proceedings of 2nd International Conference on Bio-inspired Systems and Signal Processing, 468-475 (2009).
  31. F. Vialatte, J. Sole-Casals, M. Maurice, C. Latchoumane, N. Hudson, S. Wimalaratna, J. Jeong, and A. Cichocki: "Improving the Quality of EEG Data in Patients with Alzheimer Disease using ICA", Proceedings of 15th International Conference on Neural Information Processing of the Asia Pacific Neural Network Assembly (in press 2009).
  32. Q. Zhao, L. Zhang, and A. Cichocki: "Multi-linear Generalization of Common Spatial Pattern", Proceedings of 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing,  525-529, (2009).
  33. Q. Zhao, C.F. Caiafa, A. Cichocki, and L. Zhang: "Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains," 16th International Conference on Neural Information Processing, ICONIP2009, (in press, 2009) [pdf]

    2010
  34. Bakardjian H, Tanaka T, Cichocki A. Brain Control of Robotic Arm Using Affective Steady-State Visual Evoked Potentials. In: Proceedings of the IASTD International Symposia on Human-Computer Interaction, 264-270 (2010).
  35. Cong F, Cichocki A, Lyytinen H, Ristaniemi T. Identical Fits of Nonnegative Matrix/Tensor Factorization May Correspond to Different Extracted Event-related Potentials. In: Proceedings of 2010 IEEE World Congress on Computational Intelligence, 2260-2264 (2010).
  36. Dauwels J, Vialatte F. Topics in Brain Signal Processing. In: Proceedings of the Second APSIPA Annual Summit and Conference, 939-943 (2010).
  37. Hori G, Tanaka T. Finding Initial Values for Time-varying Joint Diagonalization. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018-2021 (2010).
  38. Iyengar S, Dauwels J, Varshney P, Cichocki A. Quantifying EEG Synchrony Using Copulas. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 505-508 (2010).
  39. Molla, K, Tanaka T, Rutkowski T, Cichocki A. Separation of EOG Artifact from EEG Signals using Bivariate EMD. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 562-565 (2010).
  40. Phan A-H, Cichocki A, Vu-Dinh T. A Tensorial Approach to Single Trial Recognition for Brain Computer Interface. In: Proceedings of 2010 International Conference on Advanced Technologies for Communications, 138-141 (2010).
  41. Phan A-H, Cichocki A, Vu-Dinh T. Classification of Scenes Based on Multiway Feature Extraction. In: Proceedings of 2010 International Conference on Advanced Technologies for Communications, 142-145 (2010).
  42. Rutkowski T, Tanaka T, Zhao Q, Cichocki A. Spatial Auditory BCI/BMI Paradigm-Multichannel EMD Approach to Brain Responses Estimation. In: Proceedings of the Second APSIPA Annual Summit and Conference, 197-202 (2010).
  43. Sato Y, Hoya T, Bakardjian H, Cichocki A. Reduction of Broadband Noise in Speech Signals by Multilinear Subspace Analysis. In: Proceedings of Interspeech 2010, 965-968 (2010).
  44. Sole-Casals J, Vialatte F, Pantel J, Prvulovic D, Haenschel C, Cichocki A. ICA Cleaning Procedure for EEG Signals Analysis. In: Proceedings of the 3rd International Joint Conference on BIOSTEC, 485-490 (2010).
  45. Vialatte F, Latchoumane C, Hudson N, Wimalaratna S, Sole-Casals J, Jeong J, Cichocki A. Sparse Bump Modeling of Mildad Patients. In: Proceedings of the 3rd International Joint Conference on BIOSTEC, 479-484 (2010).
  46. Vialatte F, Maurice M, Tanaka T, Yamaguchi Y, Cichocki A. Sparse Bump Modeling of Mild AD Patients: Analyzing Steady State Visual Evoked Potentials Using Blind. In: Proceedings of the Second APSIPA Annual Summit and Conference, 578-582 (2010).
  47. Yang K, Shi Q, Cao J, Wang R, Zhu H, He Z. Analyzing EEG of Quasi-brain-death Based on Approximate Entropy Measures. In: Advances in Cognitive neurodynamics (II), Proceedings of the 2nd International Conference on Cognitive Neurodynamics, 729-733 (2010).

    2011

  48. Higashi H, Rutkowski T, Washizawa Y, Tanaka T, Cichocki A. Imagery Movement Paradigm User Adaptation Improvement with Quasi-movements Phenomenon. In: Advances in Cognitive Neurodynamics (II) Part 11, Proceedings of the 2nd International Conference on Cognitive Neurodynamics (ICCN 09), 677-681 (2011).
  49. Rutkowski T, Zhao Q, Cichocki A, Tanaka T, Mandic D. Towards Affective BCI/BMI Paradigms – Analysis of fEEG and fNIRS Brain Responses to Emotional Speech and Facial Videos. In: Advances in Cognitive Neurodynamics (II) Part 11, Proceedings of the 2nd International Conference on Cognitive Neurodynamics (ICCN 09), 671-675 (2011).
  50. Yang K, Shi Q, Cao J, Wang R, Zhu H, He Z. Analyzing EEG of Quasi-brain-death Based on Approximate Entropy Measures. In: Advances in Cognitive Neurodynamics (II) Part 12, Proceedings of the 2nd International Conference on Cognitive Neurodynamics (ICCN 09), 735-739 (2011).
  51. Zhao Q, Rutkowski T, Cichocki A, Zhang L. High Resolution Common Spatial Frequency Filters for Classifying Multi-class EEG. In: Advances in Cognitive Neurodynamics (II) Part 11, Proceedings of the 2nd International Conference on Cognitive Neurodynamics (ICCN 09), 683-688 (2011).



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ŹĘŪ1997-2010 Andrzej Cichocki