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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
 
Selected publications related to SCA, ICA, NMF, BSS, MBD and their applications
 

NMF/NTF/NTD (Nonnegative Matrix/Tensor Factorization, Nonnegative Tucker Decomposition)
  1. A. Cichocki and A-H. Phan: "Fast local algorithms for large scale Nonnegative Matrix and Tensor Factorizations", IEICE Transaction on Fundamentals, (Invited paper) (in print March 2009). [pdf]
  2. A. Cichocki, R. Zdunek, and S. Amari: "Nonnegative Matrix and Tensor Factorization", IEEE Signal Processing Magazine, January 2008, pp. 142-145. [.pdf]
  3. A.  Cichocki, H. Lee, Y.-D. Kim, and S. Choi, "Nonnegative matrix factorization with alpha-divergence", Pattern Recognition Letters, 2008 (in press) [.pdf]
  4. 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]
  5. 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]
  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. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. A. Cichocki, R. Zdunek, and S.-I. Amari, "Csiszar's Divergences for Non-Negative Matrix Factorization: Family of New Algorithms", In: Independent Component Analysis and Blind Signal Separation, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Lecture Notes in Computer Science, Vol. 3889, Springer, pp. 32 - 39, 2006  [.pdf]
  14. A. Cichocki, S.-I. Amari, R. Zdunek, R. Kompass, G. Hori, and Z. He, "Extended SMART Algorithms for Non-negative Matrix Factorization", (Invited Paper) In: Artificial Intelligence and Soft Computing, ICAISC 2006, Zakopane, Poland, June 25-29, 2006,Lecture Notes in Artificial Intelligence, Vol. 4029, Springer, pp. 548-562, 2006 [pdf]
  15. A. Cichocki, R. Zdunek, and S. Amari, "New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation", 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP-2006, May 14-19, 2006, Toulouse, France, pp V-621-625. [.pdf]
  16. A. Cichocki and R. Zdunek, "Multilayer Nonnegative Matrix Factorization", Electronics Letters, Vol. 42, No. 16 (2006), pp. 947-948 [.pdf]
  17. A. Cichocki and R. Zdunek,  "Multilayer Nonnegative Matrix factorization using Projected Gradient Approaches",  Presented on  ICONIP-2006, Hong Kong Oct. 5-10,2006. (submitted in October 2006 for journal publication). [.pdf]
  18. 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. [.pdf]
  19. Y.-D. Kim, A. Cichocki, and S. Choi,"Nonnegative Tucker decomposition with alpha-divergence," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008. [.pdf]
  20. 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, August 2007. [.pdf]
  21. A. H. Phan and A. Cichocki: "Fast and efficient algorithms for Nonnegative Tucker Decomposition", ISNN-2008, Beijing September 21-26, 2008 Springer LNCS 2008 (in print).
  22. A. H. Phan, A. Cichocki and K. S. Nguyen: "Simple and efficient algorithm for distributed compressed sensing", MLSP 2008 (submitted).
  23. 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]
  24. R. Zdunek and A. Cichocki, Nonnegative Matrix Factorization with Quadratic Programming, Neurocomputing, 2007 (accepted) [.pdf]
  25. R. Zdunek and A. Cichocki, "Nonnegative Matrix Factorization with Constrained Second-Order Optimization", Signal Processing, Vol. 87, 2007, pp. 1904-1916 [pdf]
  26. R. Zdunek and A. Cichocki, "Non-negative Matrix Factorization with Quasi-Newton Optimization", In: Artificial Intelligence and Soft Computing, ICAISC 2006, Zakopane, Poland, June 25-29, 2006, Lecture Notes in Artificial Intelligence, Vol. 4029, Springer, pp. 870-879, 2006 [ .pdf]
  27. 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]
  28. R. Zdunek and A. Cichocki, "Application of Selected Projected Gradient Algorithms to Nonnegative Matrix Factorization", Submitted to Journal Computational Intelligence and  Neuroscience. [.pdf]

SCA (Sparse Component Analysis)
  1. A. Cichocki, Y. Li, P. G. Georgiev, and S. Amari, "Beyond ICA: Robust sparse signal representations," in Proceedings of 2004 IEEE International Symposium on Circuits and Systems (ISCAS2004), Vol. V, (Vancouver, Canada), pp. 684-687, IEEE, May 2004.
  2. Z. He, and A. Cichocki,  "K-Subspace Clustering and its Application in Sparse Component Analysis",  The 14th European Symposium on Artificial Neural Networks, ESANN2006 Bruges (Belgium), April 26-28, 2006 [.pdf]
  3. 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. [.pdf]
  4.  P. G. Georgiev, F. Theis, and A. Cichocki, "Sparse component analysis and blind source separation of underdetermined mixtures", IEEE Transactions on Neural Networks, July 2005, Vol. 16, No.4, pp. 992-996. [.pdf]
  5. P. G. Georgiev, F. Theis, and A. Cichocki, "Optimization algorithms for sparse representations and applications", Chapter in the book Mulitscale Optimization Methods, Ed. Pardalos, 2005. [.pdf]
  6. P. Georgiev, F. Theis, A. Cichocki, H. Bakardjian, "Sparse Component Analysis: A New Tools for Data Mining", In the book. Data Mining in Biomedicine, P.M. Pardalos, V. Boginski and A. Vazacopoulos (eds.) Springer, to appear in 2005. [.pdf]
  7. P. G. Georgiev, F. J. Theis, and A. Cichocki, "Blind source separation and sparse component analysis of overcomplete mixtures," in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004), Vol. V, (Montreal, Canada), pp. 493-496, IEEE Signal Processing Society, IEEE, May 2004.  [.pdf]
  8. P. G. Georgiev and A. Cichocki, "Sparse component analysis of overcomplete mixtures by improved basis pursuit method," in Proceedings of 2004 IEEE International Symposium on Circuits and Systems (ISCAS2004), Vol. V, (Vancouver, Canada), pp. 37-40, IEEE, May 2004. [.pdf]
  9. J. Karvanen and A. Cichocki, "Measuring sparseness of noisy signals," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 125-130, Riken, ICA, Apr. 2003. [.pdf]
  10. Y. Li, A. Cichocki, and S. Amari: "Analysis of sparse representation and blind source separation", Neural Computation, Vol. 16, No. 6, pp. 1193-1234, June 2004. [.pdf]
  11. 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), Dec. 2003. [.pdf]
  12. Y. Li, A. Cichocki, and S. Amari, "Sparse component analysis for blind source separation with less sensors than sources," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 89-94, Riken, ICA, Apr. 2003. [.pdf]
  13. Y. Li and A. Cichocki, "Sparse representation of images using alternating linear programming," in Proceedings of The Seventh International Symposium on Signal Processing and Its Applications(ISSPA2003), (Paris, France), pp. 57-60, IEEE, July 2003.
  14. F. J. Theis, P. G. Georgiev, and A. Cichocki, "Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform," in Proceedings of 12th European Symposium on Artificial Neural Networks (ESANN2004), (Bruges, Belgium), pp. 343-348, Apr. 2004. [.pdf]
  15. 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. [.pdf]

ICA - very old papers before I joined RIKEN
  1. A. Cichocki, R. Unbehauen, Robust neural networks with on-line learning for blind identification and blind separation of sources (966 KB), IEEE Transaction on Circuits and Systems - I: Fundamental Theory and Applications, Vol.43, Nov. 1996 (submitted in June 1994),  pp.894-906. [.pdf]
  2. A. Cichocki, R. Bogner, L. Moszczynski,"Improved adaptive algorithms for blind separation of sources", Proc. of Conference on Electronic Circuits and Systems, KKTOiUE, Zakopane Poland, Oct. 25-27, 1995, pp. 647-652.
  3. A. Cichocki, R. Unbehauen and E. Rummert, Robust learning algorithm for blind separation of signals, Electronics Letters, Vol.30, No.17, 18th August 1994, pp.1386-1387. [.pdf]
  4. A. Cichocki, R. Unbehauen, L. Moszczynski and E. Rummert, A new on-line adaptive algorithm for blind separation of source signals, 1994 Int. Symposium on Artificial Neural Networks ISANN-94, Tainan, Taiwan , 1994, pp. 406-411. [.pdf]

ICA/BSS - our papers about Independent Component Analysis and Blind Source Separation
  1. S.Amari, T.-P. Chen and A. Cichocki: Nonholonomic orthogonal learning algorithms for blind source separation. NeuroComputation, Vol. 12, 2000, pp.1463-1484.
  2. S. Amari, T.-P. Chen, and A. Cichocki, Stability analysis of adaptive blind source separation, Neural Networks, Vol.10, No.8, 1997, 1345-1351. [.pdf]
  3. S. Amari, T. Chen and A. Cichocki: "Non-holonomic constraints in learning blind source separation" in the book Progress in Connectionist-Based Information Systems, Eds. N. Kasabov, (ICONIP-97, New Zealand), Springer, November 1997, Vol. I pp. 633-636.
  4. S. Amari, A. Cichocki and H.H. Yang: "A New Learning Algorithm for Blind Signal Separation", Advances in Neural Information Processing Systems 1996, Vol.8, MIT Press, Cambridge MA, 1996, 757-763. [.pdf]
  5. S. Amari, A. Cichocki and H. H. Yang: Recurrent neural networks for blind separation of sources", Proc. Int. Symposium on Nonlinear Theory and its Applications - NOLTA'95, Las Vegas, Dec.10-15, 1995, Vol.1, pp. 37-42.
  6. M. Adachi, K. Aihara and A. Cichocki, "Separation of mixed patterns by a chaotic neural network", 1996 International Symposium on Nonlinear Theory and its Applications - NOLTA'96, Proceedings. Research Society on NTA, IEICE, Japan, Oct. 1996, pp. 93-96.
  7. 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.
  8. A. K. Barros and A. Cichocki: A fixed point algorithm for independent component analysis which use a priori information, 5th Brazilian Symposium on Neural Networks, December 1998, Brazil.
  9. A. Belouchrani, A.Cichocki and K. Abed Meraim "A Blind identification and separation technique via multi-layer neural networks", Progress in Neural Information Processing - ICONIP'96, Proceedings, (Hong Kong Sept. 1996), Springer-Verlag Singapore Ltd, 1996, Vol. 2, pp. 1195-1200.
  10. 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.
  11. 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]
  12. 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.
  13. 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.
  14. A. Cichocki. Blind signal processing methods for analyzing multichannel brain signals. International Journal of Bioelectromagtism, 6(1), 2004. [http,pdf]
  15. A. Cichocki and S. Amari: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications April 2003 (revised version), John Wiley, ISBN: 0-471-60791-6, links to: book's page, publisher.
  16. 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]
  17. 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]
  18. 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]
  19. A. Cichocki, T. M. Rutkowski, and K. Siwek, "Blind signal extraction of signals with specified frequency band," in Neural Networks for Signal Processing XII: Proceedings of the 2002 IEEE Signal Processing Society Workshop, (Martigny, Switzerland), pp. 515-524, IEEE, IEEE, Sept. 2002. [.pdf]
  20. A. Cichocki, T. Rutkowski, A. K. Barros, and S. Oh, "A blind extraction of temporally correlated but statistically dependent acoustic signals," in Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Signal Processing Society Workshop (NNSP2000), (Sidney, Australia), pp. 455-464, IEEE Signal Processing Society, Dec. 2000. [.pdf]
  21. A. Cichocki, and R. Thawonmas: On-line algorithm for blind signal extraction of arbitrary distributed, but temporally correlated sources using second order statistics. Neural Processing Letters,Vol. 12, August 2000, pp.91-98.
  22. A. Cichocki, J. Karhunen, W. Kasprzak and R. Vigario: Neural networks for blind separation with unkonown number of sources, in Neurocomputing, 1999,Vol. 14, pp. 55-93.
  23. 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 Proc of th 11th Int. Conference on Biomagentism BIOMAG-98, Sendai, Japan, August 1998.
  24. 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.
  25. 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.
  26. A. Cichocki "Blind identification and separation of noisy source signals Neural networks approaches", ISCIE Japan, 1998.
  27. 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 Feb. 1998, Tenerife
  28. A. Cichocki, S. Douglas, S. Amari and P. Mierzejewski: "Independent component analysis for noisy data", Proc of International Workshop on Independence & Artificial Neural Networks, February 9 - 10, Tenerife 1998.
  29. Cichocki A., Thawonmas, and S. Amari: On-line blind signal extraction methods exploiting a priori knowledge of the previously extracted signals, to appear in Proc. the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Michigan, September, 1997. [.pdf]
  30. Cichocki A., Thawonmas, and Shun-ichi Amari: Dual cascade networks for blind signal extraction, Proc. the 1997 International Conference on Neural Networks (ICNN'97), Houston, June, Vol. 4, pp.2135-2140, 1997. [.pdf]
  31. 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.
  32. A. Cichocki, B. Orsier, A. Back and S. Amari, "On-line adaptive algorithms in non-stationary environments using modified conjugate gradient approach", in the book Neural Networks for Signal Processing,Proc. of 1997 IEEE Workshop on NNSP, Sept. 1997, N.Y. IEEE Press, pp. 316-325.
  33. 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]
  34. A. Cichocki, R. Thawonmas and S. Amari, Sequential blind signal extraction in order specified by stochastic properties, Electronics Letters, Vol.33, No. 1, 2nd January, 1997, pp. 64-65. [.pdf]
  35. A. Cichocki, W. Kasprzak and S. Amari, "Adaptive approach to blind source separation with cancellation of additive and convolutional noise", Third International Conf. on Signal Processing, ICSP'96, Proceedings, Vol. I, IEEE Press/PHEI Beijing, China, 1996. Beijing, China, October 1996. pp. 412-415. [.pdf]
  36. A. Cichocki, W. Kasprzak, S. Amari, Neural network approach to blind separation and enhancement of images, Signal Processing VIII. Theories and Applications., EURASIP/LINT Publ., Trieste, Italy, 1996, Vol.I, pp. 579-582. [.pdf]
  37. A. Cichocki, W. Kasprzak, "Nonlinear learning algorithms for blind separation of natural images", Neural Network World, Vol.4, No.4, 1996, pp. 515-523. [.pdf]
  38. A. Cichocki, S. Amari, M. Adachi and W. Kasprzak, Self-adaptive neural networks for blind separation of sources, ISCAS-96 May 1996, Atlanta, USA, Vol.2, pp. 157-160. [.pdf]
  39. A. Cichocki, S. Amari and R. Thawonmas, Blind signal extraction using self-adaptive non-linear Hebbian learning rule, 1996 International Symposium on Nonlinear Theory and its Applications - NOLTA'96, Proceedings. Research Society on NTA, IEICE, Japan, Oct. 1996, pp. 377-380. [.pdf]
  40. A. Cichocki, W. Kasprzak, S. Amari, "Multi-layer neural networks with a local adaptive learning rule for blind separation of source signals", Proc. Int. Symposium on Nonlinear Theory and its Applications - NOLTA'95, Las Vegas, USA, Dec.10-15, 1995, Vol.1, pp. 61-66. [.pdf]
  41. 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]
  42. 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. 206-214.  [.pdf]
  43. S. Choi , A. Cichocki, and S. Amari: Equivariant nonstationary source separation, Neural Networks, 2002, Vol.15, 2002, pp.121-130. [.pdf]
  44. 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]
  45. S. Choi, S. Amari, and A. Cichocki, Natural gradient learning for spatio-temporal decorrelation: Recurrent network, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E83-A, no. 12, pp. 2715-2722, Dec. 2000. [.pdf] 
  46. 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]
  47. S. Choi, A. Cichocki, and S. Amari: Flexible independent component analysis. Journal of VLSI Signal Processing, Vol. 26, 2000, pp. 25-38. [.pdf]
  48. 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.
  49. 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.
  50. S. Choi, R. 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, pp. 61-68, 1998. [.pdf]
  51. S. Choi and A. Cichocki, A linear feedforward neural network with lateral feedback connections for blind source separation, in IEEE Signal Processing Workshop on Higher-order Statistics (Banff, Canada), pp. 349-353, 21-23 July 1997. [.pdf]
  52. S. A. Crucez-Alvarez, A. Cichocki, and S. Amari: "From blind signal extraction to blind instantaneous signal separation: criteria, algorithms and stability", IEEE Transactions on Neural Networks, Special issue on Information Theoretical Learning, Vol. 15, No. 4, pp. 859-873, 2004 [.pdf]
  53. S. A. Cruces-Alvarez, A. Cichocki, and L. De Lathauwer, "Thin QR and SVD factorizations for simultaneous blind signal extraction," in Proceedings of the European Signal Processing Conference (EUSIPCO), (Vienna, Austria), pp. 217-220, 2004. (ISBN: 3-200-00165-8).
  54. 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]
  55. S. Cruces, L. Castedo, A. Cichocki: Robust blind source separation algorithms using cumulants, Neurocomputing, 2002, Vol. 49, Dec. 2002, pp.87-118. [.pdf]
  56. 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, Janurary 11-15, 1999, pp. 307-312.
  57. 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 ”½ I, Vol. 53, No. 1, January 2006, pp. 114-128. [.pdf]
  58. 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, Vol. 1, No. 2, June 2005, pp. 89-99. [.pdf]
  59. 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]
  60. P. Georgiev and A. Cichocki: Robust independent component analysis via time-delayed cumulant functions, IEICE Transactions on Fundamentals, Vol. E86-A, no. 3, 2003, pp. 573-579.
  61. 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]
  62. 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]
  63. O. Jahn, A. Cichocki, A. Ioannides and S. Amari: Identification and elimination of artifacts from MEG signals using efficient Independent Components Analysis, in Proc. of th 11th Int. Conference on Biomagentism BIOMAG-98, Sendai, Japan August 1998.
  64. Y. Li, A. Cichocki, and S. Amari: "Analysis of sparse representation and blind source separation", Neural Computation, Vol. 16, No. 6, pp. 1193-1234, June 2004. [.pdf]
  65. 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]
  66. Y. Li, A. Cichocki, and L. Zhang, "Blind source estimation of FIR channels for binary sources: a grouping decision approach," Signal Processing, 2004. [.pdf]
  67. 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]
  68. J. Karhunen, A. Cichocki, W. Kasprzak and P. Pajunen "On neural blind separation with noise suppression and redundancy reduction", International Journal of Neural Systems, Vol.8, No.2, April 1997, pp. 219-237.
  69. W. Kasprzak, A. Cichocki and S. Amari: "Blind source separation with convolutive noise cancellation" Journal of Neural Computing and Applications, Nov. 1997, Vol. 6, pp. 127-141.
  70. J. Qin, Y.  Li, and A. Cichocki:  "ICA and committee machine-based algorithm for cursor control in a BCI system", Lecture Notes in Computer Science, J. Wang, X. Liao, and Z. Yi (Eds.): ISNN 2005, LNCS 3497, pp. 973–978, 2005, Springer-Verlag Berlin Heidelberg 2005. [ .pdf]
  71. 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]
  72. T. Tanaka and A. Cichocki, "Subband decomposition independent component analysis and new performance criteria," in Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004), Vol. V, (Montreal, Canada), pp. 541-544, IEEE Signal Processing Society, IEEE, May 2004. [.pdf]
  73. 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, September 1999, pp. 1834-1844.
  74. R. Thawonmas and A. Cichocki, Blind extraction of source signals with specified stochastic features, ICASSP-97, Vol.4 pp.3353-3357. [.pdf]
  75. 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]
  76. 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.
  77. 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, pp. 1430-1442, 2004. [.pdf]
  78. 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, pp. 233-244, 2004. [.pdf]
  79. 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.
  80. 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.

Early Detection/Diagnosis of Alzheimer's Disease
  1. A. Cichocki, "Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals" - preliminary version of a chapter in the monograph, "Statistical and Process Models of Cognitive Aging", Notre Dame Series on Quantitative Methods, Editors: M.J Wenger and C. Schuster, (Mahwah, NJ: Erlbaum, 2007). [.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. Blind signal processing methods for analyzing multichannel brain signals. International Journal of Bioelectromagtism, 6(1), 2004. [http,pdf]
  4. Z. Chen, S. Ohara, J. Cao, F. Vialatte, F. Lenz, and A. Cichocki: "Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans", Computational Intelligence Neuroscience, Vol. 2007, 24pages (2007). [.pdf]
  5. Z. Chen and A. Cichocki, "Nonnegative matrix factorization with temporal smoothness and/or  spatial decorrelation constraints", 2005, paper preprint. [.pdf]
  6. J. Dauwels, F. Vialatte, T. M.  Rutkowski, and A. Cichocki, "Measuring Neural Synchrony by Message Passing", Proceedings of TheTwenty-First Annual Conference on Neural Information Processing Systems 2007 (NIPS2007), p. (tba, in press), MIT Press, December 3-6, 2007. [.pdf]
  7. J. Dauwels, F. Vialatte, and A. Cichocki: "On Synchrony Measures for the Detection of Alzheimer's Disease based on EEG", Lecture Notes on Computer Science, (in press 2007).
  8. J-H. Park, S. Kim, C-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) [.pdf]
  9. F.B. Vialatte, J. Sol«±-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]
  10. 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]
  11. 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]
  12. F. Vialatte, A. Cichocki, G. Dreyfus, T. Musha, S. L. Shishkin, and R. Gervais: "Early Diagnosis of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals" in the book: Artificial Neural Networks: Biological Inspirations – ICANN 2005, 15th International Conference Warsaw, Poland, September 11-15, 2005 Proceedings, Part I , Eds. W. Duch, J. Kacprzyk, E. Oja, and S. Zadrozny,  Springer, LNCS 3696,  2005, pp. 683-692, [.pdf]
  13. 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]

EEG, BMI, Attention, Emotion States, Pain Related Papers
  1. J. Cao, L. Zhao and A. Cichocki, "Visualization of dynamic brain activities based on single-trial MEG and EEG data analysis",  ISSN 2006, Springer LNCS 3973, pp 531-540, 2006.
  2. Z. Chen, S. Ohara, J. Cao, F. Vialatte, F. Lenz, and A. Cichocki: "Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans", Computational Intelligence Neuroscience, Vol. 2007, 24pages (2007). [.pdf]
  3. 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]
  4. A. Funase, T. Yagi, A.K.. Barros, A. Cichocki and I. Takumi, "Single trial method for Brain-Computer Interface", 28th  Int. Conference IEEE-EMBS 2006. Aug 30-Sept. 3, 2006, New York, USA.
  5. A. Funase, T. Yagi,  A.K. Barros, A. Cichocki, and I. Takumi, "Comparison of saccade-related EEG signal with saccade-related independent component", 27th Int. Conference IEEE-EMBS 2005, Sept. 2005, pp. 7060- 7063.
  6. A.  Funase, T. Yagi,  M. Mouri, A.K.. Barros, A. Cichocki, and I. Takumi, "Analysis on EEG signals in visually and auditory guided saccade task by FICAR", ICA 2006, Springer LNCS 3889, pp. 438-445, 2006.
  7. H. Lee, A. Cichocki, and S. Choi, "Nonnegative matrix factorization for motor imagery EEG classification", In Proc. Int”Ēl  Conf. Artificial Neural Networks (ICANN), Athens, Greece, Sept. 2006, Springer Lectures Notes in Computer Science, LNCS 4132, pp 250-259, 2006.
  8. 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]
  9. Y. Li, A. Cichocki and S. Amari, " Blind estimation of channel parameters and source components for EEG signals: A sparse factorization approach", IEEE Trans. on Neural Networks Vol. 17, No.2, pp.419-431, March 2006.
  10. 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, (in print) [.pdf]
  11. S. Osowski, B. Swiderski, A. Cichocki, and A. Rysz: "Epileptic Seizure    Characterization by Lyapunov exponent of EEG signal",  Compel, Vol. 26, No. 6 (2007).
  12. J. Qin, Y. Li, and A. Cichocki, "ICA and committee machine based algorithm for cursor control in a BCI system", Proc. ISNN-05, in  Springer  LNCS 3496, pp. 973–978, J. Wang, X. Liao, and Z. Yi (Eds.), Springer-Verlag Berlin Heidelberg, 2005.
  13. 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, Vol. 1301, 266-269, (2007). [.pdf]
  14. T.M. Rutkowski, A. Cichocki, A.L. Ralescu, D. and Mandic: "Emotional States Estimation from Multichannel EEG Maps", Lecture Notes in Computer Science, (in press 2007).
  15. T.M. Rutkowski, F. Vialatte, A. Cichocki, D. P. Mandic, and A. Barros, "Auditory feedback for Brain Computer Interface management – An EEG data sonification approach" ,  KES 2006, Part III,  Springer LNAI 4253 -1232, 2006
  16. W.L. Woon and A.  Cichocki, "Novel Features for Brain Computer Interfaces", Journal of Computational Intelligence and Neuroscience 2007 (accepted). [.pdf]
  17. W.L .Woon and A. Cichocki, "Temporal complexity features for Brain Computer Interfaces". 2006 (submitted).

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¢ķ1997-2009 Andrzej Cichocki