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2012
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. C.-F. V. Latchoumane, F.-B Vialatte, J. Sole-Casals, M. Maurice, S. Wimalaratna, N. Hudson, J. Jeong and A. Cichocki. Multiway Array Decomposition Analysis of EEGs in Alzheimer's Disease . Journal of Neuroscience Methods, vol. 207, pp 41-50, 2012.

  2. Zhou G., Cichocki A., Xie S.Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation .IEEE Transaction on Signal Processing 2012 (in print).

  3. Cong F, Phan A-H, Astikainen P, Zhao Q, Hietanen J, Ristaniemi T, Cichocki A. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data . Lecture Notes in Computer Science 7191, 502-510 (2012).

  4. Dauwels J, Weber T, Vialatte F, Musha T, Cichocki A. Quantifying Statistical Interdependence, Part III: N > 2 Point Processes . Neural Computation 24, 408-454 (2012).

  5. Nam Y, Zhao Q, Cichocki A. Tongue-Rudder: A Glossokinetic-Potential-Based tongue-Machine Interface . IEEE Trans. on Biomedical Engineering 59 (1), 290-299 (2012).

  6. Phan A-H, Cichocki A, Tichavsky P, Koldovsky Z. On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations . Lecture Notes in Computer Science 7191, 288-296 (2012).

  7. Phan A-H, Cichocki A, Tichavsky P, Mandic D, Matsuoka K. On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach . Lecture Notes in Computer Science 7191, 207-305 (2012).

  8. Zhang Y, Zhao Q, Jin J, Wang X, Cichocki A. A Novel BCI Based on ERP Components Sensitive to Configural Processing of Human Faces . Journal of Neural Engineering 9 (2), 026018 (2012).


2011
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. Bakardjian H, Tanaka T, Cichocki A. Emotional Faces Boost upSteady-state Visual Responses for Brain-Computer Interface . NeuroReport 22,121-125 (2011).    [bibTeX]
     
  2. Cichocki A,Cruces S, Amari S. Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy 13, 134-170 (2011).   [bibTeX]

  3. Cruces S, Cichocki A. Comment on “Blind Source Separation Based on Endpoint Estimation with Applications to the MLSP Data Competition”. Neurocomputing 74, 863-865 (2011).

  4. Cichocki A. Tensors Decompositions: New Concepts for Brain Data Analysis? Journal of Control, Measurement, and System Integration (SICE) 7, 1-10 (invited paper 2011).

  5. Dauwels J, Srinivasan K, Ramasubba Reddy M, Musha T, Vialatte F, Latchoumane C, Jeong J, Cichocki A. Slowing and Loss of Complexity in Alzheimer’s EEG: Two Sides of the Same Coin? International Journal of Alzheimer’s Disease 2011, 10 pages (2011).

  6. Hori G, Cao J. Selecting EEG Component Using Time Series Analysis in Brain Death Diagnosis. Cognitive Neurodynamics (online first 2011).

  7. Hori G, Cao J. An Application of Translation Error to Brain Death Diagnosis. Lecture Notes in Computer Science 7062, 314-321 (2011).
     
  8. Zhang Y, Zhou G, Zhao Q, Onishi A, Jin J, Wang X, Cichocki A. Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. . Lecture Notes in Computer Science 7062, 287-295 (2011).

  9. Zhao Q, Onishi A, Zhang Y, Cao J, Zhang L, Cichocki A. A Novel Oddball paradigm for Affective BCIs Using Emotional Faces as Stimuli. . Lecture Notes on Computer Science 7062, 279-286 (2011).

  10. Kopriva I, Hadzija M, Popovic Hadzija M, Korolija M, Cichocki A. Rational Variety Mapping for Contrast-Enhanced Nonlinear Unsupervised Segmentation of Multispectral Images of Unstained Specimen. The American Journal of Pathology 179 (2), 547-554 (2011)

  11. Phan A-H, Cichocki A. Extended HALS Algorithm for Nonnegative Tucker Decomposition and its Applications for Multi-Way Analysis and Classification. Neurocomputing 74, 1956-1969 (2011).   [bibTeX]
     
  12. Phan A-H, Cichocki A. PARAFAC Algorithms for Large-scale Problems. Neurocomputing 74, 1970-1984 (2011).     [bibTeX] 
     
  13. 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 27, 1512-1518 (2011).

  14. Rutkowski T, Cichocki A, Mandic D. P., Nishida T. Emotional Empathy Transition Patterns from Human Brain Responses in Interactive Communication Situations. AI&Society 26 (3), 301-315 (2011).

  15. Rutkowski T. Auditory Brain-Computer/Machine-Interface Paradigms Design. Lecture Notes in Computer Science 6851, 110-119 (2011).

  16. He Z, Xie S, Zdunek R, Zhou G, Cichocki A. Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. . IEEE Transactions on Neural Networks 22 (12), 2117-2131 (2011).

  17. Phan A-H, Cichocki A. Seeking an Appropriate Alternative Least Squares Tensor Factorizations. Neural Computing and Applications (online first 2011).

  18. Vialatte F, Dauwels J, Maurice M. Musha T, Cichocki A. Improving the specificity of EEG for diagnosing Alzheimer’s disease. International Journal of Alzheimer’s Disease 2011, 7 pages (2011).

  19. 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 23 (1), 97-110 (2011).    [bibTeX]

  20. Washizawa Y. Trace Norm Regularization and Application to Tensor based Feature Extraction. Lecture Notes in Computer Science (in press).      [bibTeX]
     
  21. Washizawa Y. Tanaka M. Centered Subset Kernel PCA for Denoising. Lecture Notes in Computer Science (in press).     [bibTeX]
2010
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. Amari S, Cichocki A. Information Geometry of Divergence Functions. Bulletin of the Polish Academy of Sciences, 58 (1), 183-195 (2010).      [bibTeX]
       
  2. 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).     [bibTeX]
     
  3. Caiafa C, Cichocki A. Generalizing the column-row matrix decomposition to multi-way arrays. Linear Algebra and its Applications, 433 (3), 557-573 (2010).      [bibTeX]
     
  4. Caram L, Caiafa C, Proto A, Ausloos, M. Dynamic Peer-to-peer Competition Physica A, 389, 2628-2636 (2010).
     
  5. Cichocki A, Amari S. Families of Alpha-Beta-and Gamma-Divergences: Flexible and Robust Measures of Similarities. Entropy, 12, 1532-1568 (2010).     [bibTeX]
     
  6. 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).      [bibTeX]
     
  7. 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).      [bibTeX]
     
  8. 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).       [bibTeX]
     
  9. 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).      [bibTeX]
     
  10. He Z, Cichocki A. Robust Channel Identification Using FOCUSS Method. Lecture Notes in Electrical Engineering, 67, 471-477 (2010).      [bibTeX]
     
  11. 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).      [bibTeX]
     
  12. Hori G. Joint SVD and Its Application to Factorization Method. Lecture Notes in Computer Science, 6365, 563-570 (2010).      [bibTeX]
     
  13. Hoya T, van Leeuwen C. A Cascaded Neuro-Computational Model for Spoken Word Recognition. Connection Science 22(1), 87-101 (2010).      [bibTeX]
     
  14. 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).     [bibTeX]
     
  15. 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).      [bibTeX]
     
  16. 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).      [bibTeX]
     
  17. 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).      [bibTeX]
     
  18. 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).      [bibTeX]
     
  19. 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),      [bibTeX]
     
  20. 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).     [bibTeX]
     
  21. 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).   [bibTeX]

  22. Rutkowski T, Cichocki A, Mandic D, Nishida T. Emotional Empathy Transition Patterns from Human Brain Responses in Interactive Communication Situations. AI&Society (2010 online).      [bibTeX]
     
  23. 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).
     
  24. 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).      [bibTeX]
     
  25. 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).      [bibTeX]
     
  26. Washizawa Y. Feature Extraction Using Constrained Approximation and Suppression. IEEE Transactions on Neural Networks, 21(2), 201-210 (2010).      [bibTeX]

  27. 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).      [bibTeX] 
     
  28. 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).      [bibTeX]
     
  29. 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).      [bibTeX]
     
  30. 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).      [bibTeX]
     
  31. 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).      [bibTeX]
2009
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. Caiafa C, Cichocki A. Estimation of Sparse Non-negative Sources from Noisy Overcomplete Mixtures using MAP. Neural Computation 21 (12), 3487-3518 (2009).      [bibTeX]
     
  2. Cichocki A, Phan A-H. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations. IEICE Trans. Fundamentals E92-A(3), 708-721 (invited paper) (2009).      [bibTeX]
     
  3. Dauwels J, Vialatte F, Weber T, Cichocki A. Quantifying Statistical Interdependence by Message Passing on Graphs, PART I: One-Dimensional Point Processes. Neural Computation 21(8), 2152-2202 (2009).      [bibTeX] 
     
  4. Dauwels J, Vialatte F, Weber T, Cichocki A. On Similarity Measures for Spike Trains. Lecture Notes in Computer Science 5506, 177-185 (2009).      [bibTeX]
     
  5. Dauwels J, Vialatte F, Weber T, Cichocki A. An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony. Lecture Notes in Computer Science 5506, 318-326 (2009).      [bibTeX]
     
  6. Dauwels J, Tsukada Y, Sakumura Y, Ishii S, Aoki K, Nakamura T, Matsuda M, Vialatte F, Cichocki A. On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration. Lecture Notes in Computer Science 5506, 469-477 (2009).      [bibTeX]
     
  7. He Z, Cichocki A, Zdunek R, Xie SL. Improved FOCUSS Methods with Conjugate Gradient Iterations. IEEE Trans. Signal Processing. 57(1), 399-404 (2009).      [bibTeX]
     
  8. He Z, Cichocki A, Li YQ, Xie SL, Sanei S. K-hyperline Clustering Learning for Sparse Component Analysis. Signal Processing 89, 1011-1022 (2009).      [bibTeX]
     
  9. He Z, Cichocki A, Xie S. Efficient Method for Tucker3 Model Selection. Electronics Letters 45 (15) 805-806 (2009).       [bibTeX]
     
  10. Hori G. Comparison of Two Main Approaches to Joint SVD. Lecture Notes in Computer Science, 5441, 42-49 (2009).
     
  11. Kopriva I, Cichocki A. Blind Multispectral Image Decomposition by 3D Nonnegative Tensor Factorization. Optics Letters 34(14), 2210-2212 (2009).      [bibTeX]
     
  12. Kopriva I, Jeric I, Cichocki A. Blind Decomposition of Infrared Spectra Using Flexible Component Analysis. Chemometrics and Intelligent Laboratory Systems, 97(2), 170-178 (2009).       [bibTeX]
     
  13. Kopriva I, Cichocki A. Blind Decomposition of Low-dimensional Multi-spectral Image by Sparse Component Analysis. Journal of Chemometrics,23(11), 590-597 (2009).      [bibTeX]
     
  14. Latchoumane C, Vialatte F, Jeong J, Cichocki A. EEG Classification of Mild and Severe Alzheimer’s Disease using Parallel Factor Analysis Method – PARAFAC Decomposition of Spectral-Spatial Characteristics of EEG Time Series. Lecture Notes in Electrical Engineering 39, 705-715 (2009).      [bibTeX]
     
  15. Lee H, Cichocki A, Choi S. Kernel Nonnegative Matrix Factorization for Spectral EEG Features Extraction. Neurocomputing 72, 3182-3190 (2009).      [bibTeX]

  16. Phan A-H, Cichocki A. Advances in PARAFAC Using Parallel Block Decomposition. Lecture Notes in Computer Science, 5863, 323-330 (2009).     [bibTeX]
     
  17. Phan A-H, Cichocki A. Local Learning Rules for Nonnegative Tucker Decomposition. Lecture Notes in Computer Science, 5863, 538-545 (2009).       [bibTeX]
     
  18. Rutkowski T, Cichocki A, Tanaka T, Ralescu A, Mandic D. Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. Lecture Notes in Computer Science, Springer, LNCS- 5506, 452-459 (2009).     [bibTeX]
     
  19. Sano A, Bakardjian H. Movement-Related Cortical Evoked Potentials Using Four-Limb Imagery. International Journal of Neuroscience, 119(5), 639-663 (2009).     [bibTeX]
     
  20. Swiderski B, Osowski S, Cichocki A, Rysz A. Single-class SVM and Directed Transfer Function Approach to the Localization of the Region Containing Epileptic Focus. Neurocomputing 72, 1575-1583 (2009).      [bibTeX]
     
  21. Vialatte F, Bakardjian H, Prasad R, Cichocki A. EEG Paroxysmal Gamma Waves during Bhramari Pranayama: a Yoga Breathing Technique. Consciousness and Cognition, 18(4), 977-988 (2009).      [bibTeX]
     
  22. Vialatte F, Dauwels J, Maurice M, Yamaguchi Y, Cichocki A. On the Synchrony of Steady State Visual Evoked Potentials and Oscillatory Burst Events. Cognitive Neurodynamics 3, 251-261 (2009).      [bibTeX]
     
  23. Vialatte F, Maurice M, Dauwels J, Cichocki A. Steady State Visual Evoked Potentials in the Delta Range (0.5-5Hz). Lecture Notes in Computer Science 5506, 400-407 (2009).    [bibTeX]  
     
  24. Vialatte F, Dauwels J, Sole-Casals J, Maurice M, Cichocki A. Improved Sparse Bump Modeling for Electrophysiological Data. Lecture Notes in Computer Science 5506, 224-231 (2009).  [bibTeX]  
     
  25. Vialatte F, Sole-Casals J, Maurice M, Latchoumane C, Hudson N, Wimalaratna S, Jeong J, Cichocki A. Improving the Quality of EEG Data in Patients with Alzheimers Disease Using ICA. Lecture Notes in Computer Science 5507, 979-986 (2009).     [bibTeX]  
     
  26. Vialatte F, Sole-Casals J, Dauwels J, Maurice M, Cichocki A. Bump Time-Frequency Toolbox: a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals. BMC Neuroscience, 10(46) (2009).       [bibTeX]  
     
  27. Wang W, Cichocki A, Chambers J. A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance. IEEE Transactions on Signal Processing 57 (7), 2858-2864 (2009).       [bibTeX]  
     
  28. Yang J, Saito Y, Shi Q, Cao J, Tanaka T, Takeda T. Empirical Mode Decomposition Method for MEG Phantom Data Analysis. Journal of Circuits, System, and Computers 18 (8), 1467-1480 (2009).       [bibTeX]  
     
  29. Zhao Q, Zhang L, Cichocki A. EEG-based Asynchronous BCI Control of a Car in 3D Virtual Reality Environments. Chinese Science Bulletin 54, 78-87 (2009).       [bibTeX]  
     
  30. Zhao Q, Caiafa C, Cichocki A, Zhang L, Phan A-H. Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. Lecture Notes in Computer Science, 5863, 221-228 (2009).       [bibTeX]  
2008
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. Chen Z, Cao J, Cao Y, Zhang Y, Gu F, Zhu G, Hong Z, Wang B, Cichocki A. An Empirical EEG Analysis in Brain Death Diagnosis for Adults. Cognitive Neurodynamics 2, 257-271 (2008).       [bibTeX]  
     
  2. Cichocki A, Jankovic M, Zdunek R, Amari S. Sparse Super Symmetric Tensor Factorization. Lecture Notes in Computer Science, Neural Information Processing, Springer, LNCS-4984, 781-790 (2008).       [bibTeX]  
     
  3. Cichocki A, Phan A-H, Zdunek R, Zhang L.Q. Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation Lecture Notes in Computer Science, Neural Information Processing, Springer, LNCS-4984, 811-820 (2008).       [bibTeX]  
     
  4. Cichocki A, Zdunek R, Amari S. Nonnegative Matrix and Tensor Factorization. IEEE Signal Processing Magazine January, 142-145 (2008).      [bibTeX]  
     
  5. Cichocki A, Lee H.K, Kim Y.-D, Choi S. Nonnegative Matrix Factorization with Alpha-divergence. Pattern Recognition Letters 29(9), 1433-1440 (2008).        [bibTeX]  
     
  6. Cichocki A, Washizawa Y, Rutkowski T, Bakardjian H, Phan H-A, Choi S, Lee H, Zhao Q, Liqing Z, Li Y. Noninvasive BCIs: Multi-way Signal Processing Array Decompositions. Computer 41 (10), 34-42 (invited paper 2008).      [bibTeX]
     
  7. Dauwels J, Vialatte F, Cichocki A. 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, Springer, LNCS-4984, 112-125 (2008).      [bibTeX]
     
  8. He Z, Xie S, Zhang L, Cichocki A. A note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations Neural Computation 20(3), 636-643 (2008).      [bibTeX]
     
  9. He Z, Cichocki A, Zdunek R, Cao J. CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. Lecture Notes in Computer Science, Advances in Neural Networks, Springer, LNCS-5263, 237-245 (2008).      [bibTeX]
     
  10. Li YQ, Cichocki A, Amari S, Xie SL, Guan SL. Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. IEEE Trans. Neural Networks 19(12), 2009-2021 (2008).
     
  11. Martinez P, Bakardjian H, Vallverdu M, Cichocki A. Fast Multi-command SSVEP Brain Machine Interface without Training. Lecture Notes in Computer Science, Artificial Neural Networks, Springer, LNCS-5164, 300-307 (2008).      [bibTeX]
     
  12. Mouri M, Funase A, Cichocki A, Takumi I, Yasukawa H, Hata M. 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).      [bibTeX]
     
  13. Phan A-H, Cichocki A. Fast and Efficient Algorithms for Nonnegative Tucker Decomposition. Lecture Notes in Computer Science, Advances in Neural Networks, Springer, LNCS-5264, 772-782 (2008).       [bibTeX]
     
  14. Rutkowski T, Mandic D, Cichocki A, Przybyszewski A. EMD Approach to Multichannel EEG Data – The Amplitude and Phase Synchrony Analysis Technique. Lecture Notes in Computer Science, Advanced Intelligent Computing Theories and Applications, Springer, LNCS-5226, 122-129 (2008).      [bibTeX]
     
  15. Vialatte F, Cichocki A. Split-Test Bonferroni Correction for QEEG Statistical Maps. Biological Cybernetics 98, 295-303 (2008).       [bibTeX]
     
  16. Vialatte F, Solé-Casals J, Cichocki A. EEG Windowed Statistical Wavelet Scoring for Evaluation and Discrimination of Muscular Artifacts. Physiological Measurement 29, 1435-1452 (2008).      [bibTeX]
     
  17. Washizawa Y, Cichocki A. Sparse Blind Identification and Separation by Using Adaptive K-orthodrome Clustering. Neurocomputing 71, 2321-2329 (2008).       [bibTeX]
     
  18. Xu J, Bakardjian H, Cichocki A, Principe J. A New Nonlinear Similarity Measure for Multichannel Signals. Neural Networks 21, 222-231 (2008).       [bibTeX]

  19. Zdunek R, Cichocki A. Nonnegative Matrix Factorization with Quadratic Programming. Neurocomputing 71, 2309-2320 (2008).      [bibTeX]

  20. Zdunek R, Cichocki A. Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing. Lecture Notes in Computer Science, Neural Information Processing, Springer, LNCS-4985, 519-528 (2008).      [bibTeX]
     
  21. Zdunek R, Rutkowski T. Nonnegative Tensor Factorization with Smoothness Constraints. Lecture Notes in Computer Science, Advanced Intelligent Computing Theories and Applications, Springer, LNCS-5226, 326-333 (2008).      [bibTeX]
     
  22. Zdunek R, Cichocki A. Improved M-FOCUSS Algorithm with Overlapping Blocks for Locally Smooth Sparse Signals. IEEE Trans. Signal Processing 56(10), Part 1, 4752-4761 (2008). [bibTeX]
2007
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  1. Astolfi L, Bakardjian H, Cincotti F, Mattia D, Marciani M, Fallani F, Colosimo A, Salinari S, Miwakeichi F, Yamaguchi Y, Martinez P, Cichocki A, Tocci A, Babiloni, F. Estimate of Causality between Independent Cortical Spatial Patterns during Movement Volition in Spinal Cord Injured Patients. Brain Topography 19(3), 107-23 (2007).      [bibTeX]
     
  2. Astofi L, Cincotti F, Mattia D, Marciani M, Fallani F, Miwakeichi F, Yamaguchi Y, Martinez P, Salinari S, Tocci A, Bakardjian H, Cichocki A, Babiloni F. Removal of Ocular Artifacts for High-resolution EEG Studies: A Simulation Study. International Journal of Bioelectromagnetism, 9(4), 253-259 (2007).      [bibTeX]
     
  3. Chen Z, Ohara S, Cao J, Vialatte F, Lenz F, Cichocki A. Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans. Computational Intelligence Neuroscience 2007, 24 pages (2007).      [bibTeX]
     
  4. Cichocki A, Zdunek R, Choi S, Plemmons R, Amari S. Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. Lecture Notes in Computer Science, Adaptive and Natural Computing Algorithms, Springer, LNCS-4432, 271-280 (2007).      [bibTeX]
     
  5. Cichocki A, Zdunek R. Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization. Lecture Notes in Computer Science, Advances in Neural Networks, Springer, LNCS-4493, 793-802 (2007).      [bibTeX]
     
  6. Cichocki A, Zdunek R, Amari S. Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. Lecture Notes in Computer Science, Independent Component Analysis and Signal Separation, Springer, LNCS-4666, 169-176 (2007).      [bibTeX]
     
  7. Cichocki A, Zdunek R. Multi-layer Nonnegative Matrix Factorization using Projected Gradient Approaches. International Journal of Neural Systems 17(6), 431-446 (2007).
    [bibTeX]
     
  8. Fallani F, Astolfi L, Cincotti F, Mattia D, Marciani M, Salinari S, Kurths J, Gao S, Cichocki A, Colosimo A, Babioni F. Cortical Functional Connectivity Networks in Normal and Spinal Cord Injured Patients: Evaluation by Graph Analysis. Human Brain Mapping 28(12), 1334-1346 (2007).      [bibTeX]
     
  9. Feng D, Zheng W, Cichocki A. Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources from Array Signals. IEEE Transactions on Signal Processing 55(3), 962-977 (2007).       [bibTeX]
     
  10. Georgiev P, Pardalos P, Cichocki A. Algorithms with High Order Convergence Speed for Blind Source Extraction. Computational Optimization and Applications, 38(1), 123-131 (2007).       [bibTeX]
     
  11. He Z, Xie S, Ding S, Cichocki A. Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation. IEEE Transactions on Audio, Speech, and Language Processing 15(5), 1551-1563 (2007).       [bibTeX]
     
  12. He Z, Cichocki A. An Efficient K-Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis  in Computer Science, Advances in Neural Networks, Springer, LNCS-4492, 1032-1041 (2007).       [bibTeX]
     
  13. Hoya T, Washizawa Y. Simultaneous Pattern Classification and Multi-Domain Association Using Self-Structuring Kernel Memory Networks. IEEE Transactions on Neural Networks 18 (3), 732-744 (2007).       [bibTeX]
     
  14. Kawamoto M, Kohno K, Inouye Y. Robust Eigenvector Algorithms for Blind Deconvolution of Mimo Linear Systems. Circuits Systems Signal Processing 26(4), 473-494 (2007).
     
  15. Lee H, Kim Y, Cichocki A, Choi S. Nonnegative Tensor Factorization for Continuous EEG Classification. International Journal of Neural Systems 17 (4), 305-317 (2007).       [bibTeX]
     
  16. Liu W, Mandic D, Cichocki A. Blind Source Extraction Based on a Linear Predictor. IET Signal Processing 1(1), 29-34 (2007).  [bibTeX]
     
  17. Liu W, Mandic D, Cichocki A. Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Transactions of Neural Networks 18(5), 1505-1510 (2007).       [bibTeX]
     
  18. Martinez P, Bakardjian H, Cichocki A. Fully Online Multi-command Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm. Computational Intelligence and Neuroscience 2007, 9 pages (2007).       [bibTeX]
     
  19. Osowski S, Swiderski B, Cichocki A, Rysz A. Epileptic Seizure Characterization by Lyapunov Exponent of EEG Signal. Compel 26 (5), 1276-1287 (2007).      [bibTeX]
     
  20. Papadelis C, Chen Z, Kourtidou-Papadeli C, Bamidis P.D, Chouvarda I, Bekiaris E, Maglaveras N. Monitoring Sleepiness with On-board Electrophysiological Recordings for Preventing Sleep-deprived Traffic Accidents. Clinical Neurophysiology 118(9), 1906-1922 (2007).       [bibTeX]
     
  21. Park J-H, Kim S-Y, Kim C-H, Cichocki A, Kim K. Multiscale Entropy Analysis of EEG from Patients under Different Pathological Conditions. Fractals 15(4), 399-404 (2007).      [bibTeX]
     
  22. Rutkowski T, Mandic D. Modeling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations. Lecture Notes in Computer Science, Artificial Intelligence for Human Computing, Springer, LNCS-4451, 155-169 (2007).       [bibTeX]
     
  23. Rutkowski T, Zdunek R, Cichocki A. Multichannel EEG Brain Activity Pattern Analysis in Time-frequency Domain with Nonnegative Matrix Factorization Support. International Congress Series 1301, 266-269 (2007).       [bibTeX]
     
  24. Rutkowski T, Mandic D, Barros A. A Multi-modal Approach to Communicative Interactivity Classification. Journal of VLSI Signal Processing 49, 317-328 (2007).      [bibTeX]
     
  25. Seghouane A, Cichocki A. Bayesian Estimation of the Number of Principal Components. Signal Processing 87, 562-568 (2007).      [bibTeX]
     
  26. Shinozaki T, Cateau H, Urakubo T, Okada M. Controlling Synfire Chain by Inhibitory Synaptic Input. Journal of the Physical Society of Japan 76:044806 (2007).       [bibTeX]
     
  27. Shinozaki T, Takeda T. Increase of Late MEG Component by Perceptual Transition in Binocular Rivalry. IEEJ Trans. EIS 127:5, 679-685, (2007).
     
  28. Swiderski B, Osowski S, Cichocki A, Rysz A. Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine. Lecture Notes on Computer Science Adaptive and Natural Computing Algorithms, Springer, LNCS-4432, 373-381 (2007).       [bibTeX]
     
  29. Tanaka T, Mandic D.P. Complex Empirical Mode Decomposition. IEEE Signal Processing Letters 14(2), 101-104 (2007).       [bibTeX]
     
  30. Theis F, Georgiev P, Cichocki A. Robust Sparse Component Analysis Based on a Generalized Hough Transform. EURASIP Journal on Advances in Signal Processing (2007).      [bibTeX]
     
  31. Woon WL, Cichocki A, Vialatte F, Musha T. Techniques for Early Detection of Alzheimer’s Disease Using Spontaneous EEG Recordings. Physiological Measurement 28(4), 335-347 (2007).        [bibTeX]
     
  32. Woon WL, Cichocki A. Novel Features for Brain Computer Interfaces. Computational Intelligence Neuroscience 2007, 7 pages (2007).        [bibTeX]
     
  33. Yang J, Cao J, Mitsukura Y. EEG Data Analysis for Coma and Quasi-brain-death Patients. Journal of Signal Processing 11(6), 481-487 (2007).         [bibTeX]
     
  34. Zdunek R, Cichocki A. Nonnegative Matrix Factorization with Constrained Second-order Optimization. Signal Processing 87(8), 1904-1916 (2007).         [bibTeX]
2006
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. Bakardjian H, Cichocki A, Cincotti F, Mattia D, Babiloni F, Marciani MG, Fallani FDV, Miwakeichi F, Yamaguchi Y, Martinez P, Salinari S, Tocci A, Astolfi L. Estimate of Causality Between Cortical Spatial Patterns During Voluntary Movements in Normal Subjects. International Journal of Bioelectromagnetism 8(1), 1-18 (2006).         [bibTeX]
     
  2. Cao J, Zhao J, Cichocki A. Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis. Lecture Notes in Computer Science, Advances in Neural Networks, Springer, LNCS-3973, 531-540 (2006).         [bibTeX]
     
  3. Cavalcante A, Mandic D, Rutkowski T, Barros A. Speech Enhancement Based on the Response Features of Facilitated EI Neurons. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3889, 585-592 (2006).         [bibTeX]
     
  4. Choi S, Ahn JH, Cichocki A. Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Processing Letters 24, 53-65 (2006).         [bibTeX]
     
  5. Cichocki A, Zdunek R, Amari S. Csiszar’s Divergences for Non-negative Matrix Factorization: Family of New Algorithms. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3889, 32-39 (2006).         [bibTeX]
     
  6. Cichocki A, Amari S, Zdunek R, Kompass R, Hori G, He Z. Extended SMART Algorithms for Non-negative Matrix Factorization. Lecture Notes in Computer Science, Artificial Intelligence and Soft Computing, Springer, LNCS-4029, 548-562 (2006).         [bibTeX]
     
  7. Cichocki A, Zdunek R. Multi-layer Nonnegative Matrix Factorization. Electronics Letters 42(16), 947-948 (2006).         [bibTeX]
     
  8. Ding S, Huang J, Wei D, Cichocki A. A Near Real-Time Approach for Convolutive Blind Source Separation. IEEE Transactions on Circuits and Systems I: Regular Papers 53(1), 114-128 (2006).        [bibTeX]
     
  9. Funase A, Yagi T, Mouri M, Barros A, Cichocki A, Takumi I. 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, Springer, LNCS-3889, 438-445 (2006).        [bibTeX]
     
  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, Springer, LNCS-3889, 90-97 (2006).        [bibTeX]
     
  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, Springer, LNCS-4232, 1038-1047 (2006).        [bibTeX]
     
  12. Hori G. Global Analysis of Log Likelihood Criterion. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation 3889, 815-822 (2006).        [bibTeX]
     
  13. Jafari M, Wang W, Chambers J, Hoya T, Cichocki A. Sequential Blind Source Separation Based Exclusively on Second-Order Statistics Developed for a Class of Periodic Signals. IEEE Transactions on Signal Processing 54(3), 1028-1040 (2006).        [bibTeX]
     
  14. Jelfs B, Vayanos P, Chen M, Goh SL, Boukis C, Gautama T, Rutkowski T, Kuh T, Mandic D. An Online Method for Detecting Nonlinearity Within a Signal. Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems, Springer, LNCS-4253, 1216-1223 (2006).   [bibTeX]
     
  15. Kohno K, Kawamoto M, Asoke N, Inoue Y. Robust Blind Equalization Algorithms Based on the Constrained Maximization of a Fourth-Order Cumulant Function. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A (5), 1495-1499 (2006).        [bibTeX]
     
  16. Kohno K, Inouye Y, Kawamoto M. A Super-exponential Deflation Method Incorporated with Higher-order Correlations for Blind Deconvolutin of MIMO Linear Systems. Signal Processing 86, 3505-3512 (2006).       [bibTeX]

  17. Lee H, Cichocki A, Choi S. Nonnegative Matrix Factorization for Motor Imagery EEG Classification. Lecture Notes in Computer Science, Artificial Neural Networks, Springer, LNCS-4132, 250-259 (2006).        [bibTeX]

  18. Li Y, Cichocki A, Amari S, Guan C. Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3889, 831-837 (2006).        [bibTeX]
     
  19. Li Y, Amari S, Cichocki A, Ho D, Xie S. Underdetermined Blind Source Separation Based on Sparse Representation. IEEE Transactions on Signal Processing 54(2), 423-437 (2006).       [bibTeX]
     
  20. Li Y, Cichocki A, Amari S. Blind Estimation of Channel Parameters and Source Components for EEG Signals: A Sparse Factorization Approach. IEEE Transactions on Neural Networks 17(2), 419-431 (2006).       [bibTeX]
     
  21. Li Y, Amari S, Cichocki A, Guan C. Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation. IEEE Transactions on Information Theory 52(7), 3139-3152 (2006).       [bibTeX]
     
  22. Liu W, Mandic D, Cichocki A. Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures. IEEE Transactions on Circuits and Systems II: Express Briefs 53(9), 931-935 (2006).       [bibTeX]
     
  23. Ma J, Chen Z, Amari S. Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3889, 838-845 (2006).       [bibTeX]
     
  24. Mouri M, Funase A, Cichocki A, Takumi I, Yasukawa H, Hata M. Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3889, 384-391 (2006).            [bibTeX]
     
  25. Nakamura W, Anami K, Mori T, Saitoh O, Cichocki A, 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).            [bibTeX]
     
  26. Rutkowski T, Vialatte F, Cichocki A, Mandic D, Barros A. Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems, Springer, LNCS-4253, 1232-1239 (2006).            [bibTeX]
     
  27. Tanaka T, Hirasawa Y, Yamashita Y. 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).           [bibTeX]
     
  28. Tanaka T. A Direct Design of Oversampled Perfect Reconstruction FIR Filter Banks of 50%-Overlapping Filters. IEEE Transactions on Signal Processing 54(8), 3011-3022 (2006).         [bibTeX]
     
  29. Vialatte F, Cichocki A. 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, Springer, LNCS-4234, 92-101 (2006).        [bibTeX]
     
  30. Washizawa Y, Yamashita Y. Kernel Projection Classifiers with Suppressing Features of Other Classes. Neural Computation 18, 1932-1950 (2006).        [bibTeX]
     
  31. Washizawa Y, Tanaka T, Mandic D, Cichocki A. A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems, Springer, LNCS- 4253, 1248-1255 (2006).        [bibTeX]
     
  32. Zdunek R, Cichocki A. Non-negative Matrix Factorization with Quasi-Newton Optimization. Lecture Notes in Computer Science, Artificial Intelligence and Soft Computing, Springer, LNCS-4029, 870-879 (2006).         [bibTeX]
2005
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
    1. Choi S, Cichocki A, Park HM, Lee SY. Blind Source Separation and Independent Component Analysis: A Review. Neural Information Processing-Letters and Reviews 6 (1), 1-57 (2005).         [bibTeX]
       
    2. Cichocki A, Shishkin S, Musha T, Leonowicz Z, Asada T. Kurachi T. EEG Filtering Based on Blind Source Separation (BSS) for Early Detection of Alzheimer’s Disease. Clinical Neurophysiology 116, 729-737 (2005).        [bibTeX]
       
    3. Cichocki A, Stansell S, Leonowicz Z, Buck J. Independent Variable Selection: Application of Independent Component Analysis to Forecasting a Stock Index. Journal of Asset Management JAM 6(4), 248-258 (2005).        [bibTeX]
       
    4. Ding S, Cichocki A, Huang J, Wei D. 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).       [bibTeX]
       
    5. Georgiev P, Theis F, Cichocki A. Sparse Component Analysis and Blind Source Separation of Underdetermined Mixtures. IEEE Transactions on Neural Networks 16(4), 992-996 (2005).       [bibTeX]
       
    6. Hoya T, Tanaka T, Cichocki A, Murakami T, Hori G, Chambers J. A. Stereophonic Noise Reduction Using a Combined Sliding Subspace Projection and Adaptive Signal Enhancement. IEEE Transactions on Speech and Audio Processing13(3), 309-320 (2005).       [bibTeX]
       
    7. Karvanen J. A Resampling Test for the Total Independence of Stationary Time Series: Application to the Performance Evaluation of ICA Algorithms. Neural Processing Letters 22, 311-324 (2005).         [bibTeX]

    8. Kawamoto M, Kohno K, Inouye Y. Robust Super-exponential Methods for Deflationary Blind Source Separation of Instantaneous Mixtures. IEEE Transactions on Signal Processing 53 (5), 1933-1937 (2005). 
       
    9. Leonowicz Z, Karvanen J, Shishkin S. Trimmed Estimators for Robust Averaging of Event-related Potentials. Journal of Neuroscience Methods 142, 17-26 (2005).          [bibTeX]
       
    10. Li Y, Cichocki A. 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).          [bibTeX]
       
    11. Li Y, Cichocki A, Qin J. Blind Identification and Deconvolution for Noisy Two-input Two-output Channels. Lecture Notes in Computer Science, Advanced Neural Networks, Springer, LNCS-3497, 502-507 (2005).          [bibTeX]
       
    12. Matsuki T, Hori G, Furuichi T. Gene Expression Profiling During the Embryonic Development of Mouse Brain Using an Oligonucleotide-based Microarray System. Molecular Brain Research, 231-254 (2005).
       
    13. Murakami T, Hoya T, Ishida Y. Speech Enhancement by Spectral Subtraction Based on Subspace Decomposition. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A(3), 690-701 (2005).          [bibTeX]
       
    14. Qin J, Li Y, Cichocki A. ICA and Committee Machine-based Algorithm for Cursor Control in a BCI System. Lecture Notes in Computer Science, Advances in Neural Networks, Springer, LNCS-3496, 973-978 (2005).         [bibTeX]
       
    15. Rutkowski T, Mandic D. Communicative Interactivity- A Multi-modal Communicative Situation Classification Approach. Lecture Notes in Computer Science, Artificial Neural Networks, Springer, LNCS-3697, 741-746 (2005).         [bibTeX]
       
    16. Tanaka T. Generalized Weighted Rules for Principal Components Tracking. IEEE Transactions on Signal Processing 53(4), 1243-1253 (2005).         [bibTeX]
       
    17. Vialatte F, Cichocki A, Dreyfus G, Musha T, Shishkin S, Gervais R. 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, Springer, LNCS-3696, 683-692 (2005).         [bibTeX]
    2004
    COPYRIGHT NOTICE
    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
    1. Cichocki A. Blind Signal Processing Methods for Analyzing Multichannel Brain Signals. International Journal of Bioelectromagnetism 6(1) (2004).
       
    2. Cichocki A. Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications. Lecture Notes in Computer Science, Artificial intelligence and Soft Computing, Springer, LNCS-3070, 30-37 (2004).
       
    3. Crucez-Alvarez S. A, Cichocki A, Amari S. From Blind Signal Extraction to Blind Instantaneous Signal Separation: Criteria, Algorithms and Stability. IEEE Transaction on Neural Networks, Special issue on Information Theoretical Learning 15, 859-873 (2004).
       
    4. Ding S, Xin Z, Wenxi C, Daming W. Derivation of Respiratory Signal from Single-channel ECGs Based on Source Statistics. International Journal of Bioelectromagnetism, 43-39 (2004).
       
    5. Ding S, Jie H, Daming W. Real-time Blind Source Separation of Acoustic Signals with a Recursive Approach. International Journal of Computational Intelligence and Applications, 193-206 (2004).
       
    6. Ding S, Huang J, Wei D, Omata S. Real-time Independent Component Analysis Based on Gradient Learning with Simultaneous Perturbation Stochastic Approximation. Lecture Notes in Computer Science, Knowledge-Based Intelligent Information and Engineering Systems, Springer, LNCS-3214, 366-374, (2004).
       
    7. Hori G. Framework of Constrained Matrix Gradient Flows. Lecture Notes in Computer Science, Independent Component Analysis and Blind Signal Separation, Springer, LNCS-3195, 144-151 (2004).
       
    8. Hoya T. Notions of Intuition and Attention Modeled by a Hierarchically Arranged Generalized Regression Neural Network. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 34(1), 200-209 (2004)
       
    9. Inoue M, Nishimura S, Hori G, Nakahara H, Saito M, Yoshihara Y, Amari S. Improved Parameter Estimation for Variance-stabilizing Transformation of Gene-expression Microarray Data. Journal of Bioinformatics and Computational Biology, 669-679 (2004).
       
    10. Leonowicz Z. Analysis of Non-Stationary Signals in Power Systems. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 23, 385-395 (2004).
    11. Li Y, Cichocki A, Amari S. Analysis of Sparse Representation and Blind Source Separation. Neural Computation 16, 1193-1234 (2004).
       
    12. Li Y, Wang J, Cichocki A. Blind Source Extraction from Convolutive Mixtures in Ill-conditioned Multi-input Multi-output Channels. IEEE Transactions on Circuits and Systems-1 51 (9), 1814-1822 (2004).
       
    13. Li Y, Cichocki A, Zhang L. Blind Source Estimation of FIR Channels for Binary Sources: A Grouping Decision Approach. Signal Processing 84, 2245-2263 (2004).
       
    14. Miyawaki Y, Okada M. A Network Model of Perceptual Suppression Induced by Transcranial Magnetic Stimulation. Neural Computation 16, 309-331 (2004).
       
    15. Tanaka T, Yamashita Y. The Generalized Lapped Pseudo-biorthogonal Transform: Oversampled Linear-phase Perfect Reconstruction Filter Banks with Lattice Structures. IEEE Transactions on Signal Processing 52, 434-446 (2004).
       
    16. Theis F.J, Nakamura W. Quadratic Independent Component Analysis. IEICE Trans. Fundamentals E87-A (9), 2355-2363 (2004).
       
    17. Zhang L, Cichocki A, Amari S. Self-adaptive Blind Source Separation Based on Activation Functions Adaptation. IEEE Transactions on Neural Networks 15(2), 233-244 (2004).
       
    18. Zhang L, Cichocki A, Amari S. Multichannel Blind Deconvolution of Nonminium-phase Systems Using Filter Decomposition. IEEE Transactions on Signal Processing 52 (5), 1430-1442 (2004).
    2003
    COPYRIGHT NOTICE
    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
    1. T. Aonishi and M. Okada, "Dynamically coupled oscillators: Cooperative behavior via dynamical interaction," Journal of the Physical Society of Japan, vol. 72, pp. 1334-1337, 2003.
       
    2. 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, pp. 631-645, 2003.
       
    3. S. Choi, A. Cichocki, L. Zhang, and S. Amari, "Approximate maximum likelihood source separation using the natural gradient," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, no. 1, pp. 198-205, Jan. 2003. 
       
    4. 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, pp. 295-302, 2003.
       
    5. A. Cichocki and P. G. Georgiev, "Blind source separation algorithms with matrix constraints," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, no. 1, pp. 522-531, Jan. 2003. 
       
    6. P. G. Georgiev and A. Cichocki, "Robust independent component analysis via time-delayed cumulant functions," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, pp. 573-579, 2003. 
       
    7. R. R. Gharieb and A. Cichocki, "Second-order statistics based blind source separation using a bank of subband filters," Digital Signal Processing, vol. 13, pp. 252-274, 2003. 
       
    8. R. Hayashi, Y. Miyawaki, T. Maeda, and S. Tachi, "Unconscious adaptation: a new illusion of depth induced by stimulus features without depth," Vision Research, vol. 43, pp. 2773-2782, 2003.
       
    9. T. Hoya, "On the capability of accommodating new classes within probabilistic neural networks," IEEE Transactions on Neural Networks, vol. 14, pp. 450-453, 2003.
       
    10. Y. Konno, J. Cao, T. Arai, and T. Takeda, "Visualization of brain activities of single-trial and averaged multiple-trials MEG data," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, pp. 2294-2301, 2003.
       
    11. Z. Leonowicz, T. Lobos, and J. Rezmer, "Advanced spectrum estimation methods for signal analysis in power electronics," IEEE Transactions on Industrial Electronics, vol. 50, pp. 514-519, 2003.
       
    12. Y. Li, A. Cichocki, and L. Zhang, "Blind separation and extraction of binary sources," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, no. 3, pp. 580-589, 2003. 
       
    13. Y. Miyawaki and M. Okada, "A network model of inhibitory effects induced by transcranial magnetic stimulation," Neurocomputing, vol. 52/54, pp. 837-842, 2003.
       
    14. H. Nakahara, S. Nishimura, M. Inoue, G. Hori, and S. Amari, "Gene interaction in DNA microarray data is decomposed by information geometric measure," Bioinformatics, vol. 19, pp. 1124-1131, 2003.
       
    15. W. Nakamura, "Quadratic forms in natural images," Network: Computation in Neural Systems, vol. 14, pp. 765-788, 2003
       
    16. T. Tanaka, T. Saito, and Y. Yamashita, "A time-varying subband transform with projection-based reconstruction," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E86-A, pp. 1935-1941, 2003.
       
    17. T. Tanaka and Y. Yamashita, "A biorthogonal transform with overlapping and non-overlapping basis functions for image coding," IEEE Transactions on Signal Processing, vol. 51, pp. 732-743, 2003. 
    2002
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    1. T. Aonishi, K. Kurata, and M. Okada, "Acceleration effect of coupled oscillator systems," Physical Review E, vol. 65, pp. 046223-1-046223-18, 2002.
       
    2. T. Aonishi and M. Okada, "Multibranch entrainment and slow evolution among branches in coupled oscillators," Physical Review Letters, vol. 88, no. 2, pp. 024102-1-024102-4, 2002.
       
    3. H. Bakardjian, A. Uchida, H. Endo, and T. Takeda, "Magnetoencephalographic study of speed-dependent responses in apparent motion," Clinical Neurophysiology, vol. 113, pp. 1586-1597, 2002.
       
    4. A. K. Barros, T. M. Rutkowski, F. Itakura, and N. Ohnishi, "Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets," IEEE Transactions on Neural Networks, vol. 13, no. 4, pp. 888-893, July 2002.
       
    5. J. Cao, N. Murata, S. Amari, A. Cichocki, and T. Takeda, "Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization," Neurocomputing, vol. 49, pp. 255-277, 2002.
       
    6. S. Choi, A. Cichocki, and S. Amari, "Equivariant nonstationary source separation," Neural Networks, vol. 15, pp. 121-130, 2002.
        
    7. S. Choi, A. Cichocki, and A. Belouchrani, "Second order nonstationary source separation," Journal of VLSI Signal Processing, vol. 32, no. 1-2, pp. 93-104, Aug. 2002.
       
    8. S. A. Cruces-Alvarez, 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, pp. 233-236, Aug. 2002. 
       
    9. S. A. Cruces-Alvarez, L. Castedo, and A. Cichocki, "Robust blind source separation algorithms using cumulants," Neurocomputing, vol. 49, pp. 87-118, Dec. 2002.
       
    10. A. Funase, T. Yagi, A. K. Barros, Y. Kuno, and Y. Uchikawa, "Analysis on saccade-related EEG with independent component analysis," International Journal of Applied Electromagnetics and Mechanics, vol. 14, pp. 353-358, 2002.
       
    11. W. Hashimoto, "Separation of independent components from data mixed by several mixing matrices," Signal Processing, vol. 82, pp. 1949-1961, 2002.
       
    12. S. Kawaguchi, "Oscillation of the overlap parameter in a phase coupled model," Progress of Theoretical Physics, vol. 107, pp. 839-860, 2002.
       
    13. S. Kawaguchi, "Dynamics of sequence-associative memory for discrete maps in xy spin systems," Progress of Theoretical Physics, vol. 108, pp. 641-668, 2002.
       
    14. S. Vorobyov and A. Cichocki, "Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis," Biological Cybernetics, vol. 86, no. 4, pp. 293-303, Apr. 2002.
       
    15. L. Zhang, A. Cichocki and  S. Amari, "Geometrical structures of FIR manifold and their application to multichannel blind deconvolution," Journal of VLSI Signal Processing, vol. 31, pp. 31-44, 2002. 
    2001
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    1. A. K. Barros and A. Cichocki, "Extraction of specific signals with temporal structure," Neural Computation, vol. 13, no. 9, pp. 1995-2003, Sept. 2001.
       
    2. S. Choi and A. Cichocki, "Blind equalization via approximate maximum likelihood source separation," Electronics Letters, vol. 37, no. 1, pp. 61-62, Jan. 2001.
       
    3. S. Choi and A. Cichocki, "Algebraic differential decorrelation for nonstationary source separation," Electronics Letters, vol. 37, no. 23, pp. 1414-1415, Nov. 2001.
       
    4. R. R. Gharieb and A. Cichocki, "Segmentation and tracking of the electro-encephalogram signal using an adaptive recursive bandpass filter," Medical & Biological Engineering & Computing, vol. 39, pp. 237-248, 2001.
       
    5. R. R. Gharieb and A. Cichocki, "Noise reduction in brain evoked potentials based on third-order correlations," IEEE Transactions on Biomedical Engineering, vol. 48, pp. 501-512, 2001. 
       
    6. G. Hori, K. Aihara, Y. Mizuno, and Y. Okuma, "Blind source separation and chaotic analysis of EEG for judgment of brain death," Artificial Life Robotics, vol. 5, pp. 10-14, 2001.
       
    7. G. Hori, M. Inoue, S. Nishimura, and H. Nakahara, "Blind gene classification: An application of a signal separation method," Genome Informatics, vol. 12, pp. 255-256, 2001.
       
    8. T. Hoya and J. A. Chambers, "Heuristic pattern correction scheme using adaptively trained generalized regression neural networks," IEEE Transactions on Neural Networks, vol. 12, pp. 91-100, 2001.
       
    9. N. Iannella and A. D. Back, "A spiking neural network architecture for nonlinear function approximation," Neural Networks, vol. 14, pp. 933-939, 2001.
       
    10. R. Rosipal, M. Girolami, L. J. Trejo, and A. Cichocki, "Kernel PCA for feature extraction and de-noising in nonlinear regression," Neural Computing & Applications, vol. 10, pp. 231-243, 2001.
        
    11. S. A. Vorobyov and A. Cichocki, "Hyper radial basis function neural networks for interference cancellation with nonlinear processing of reference signal," Digital Signal Processing, vol. 11, no. 3, pp. 204-221, July 2001.
       
    12. S. A. Vorobyov, A. Cichocki, and Y. V. Bodyanskiy, "Adaptive noise cancellation for multi-sensory signals," Fluctuation and Noise Letters, vol. 1, no. 1, pp. R13-R24, 2001.
       
    13. L. Zhang, S. Amari, and A. Cichocki, "Semiparametric model and superefficiency in blind deconvolution," Signal Processing, vol. 81, pp. 2535-2553, 2001.
    2000
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    1. S. Amari, T. Chen, and A. Cichocki, "Nonholonomic orthogonal learning algorithms for blind source separation," Neural Computation, vol. 12, pp. 1463-1484, 2000. 
       
    2. A. Belouchrani and A. Cichocki, "Robust whitening procedure in blind source separation context," Electronics Letters, vol. 36, no. 24, pp. 2050-2053, 2000. 
       
    3. Y. V. Bodyanskiy and S. A. Vorobyov, "Recurrent neural network detecting changes in the properties of nonlinear stochastic sequences," Automation and Remote Control, vol. 61, no. 7, pp. 1113-1124, 2000.
       
    4. 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, pp. 37-43, 2000.
       
    5. J. Cao, N. Murata, S. Amari, A. Cichocki, T. Takeda, H. Endo, and N. Harada, "Single-trial magnetoencephalographic data decomposition and localization based on independent component analysis approach," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E83-A, no. 9, pp. 1757-1766, 2000.
       
    6. J. Cao, N. Murata, and A. Cichocki, "Independent component analysis algorithm for online blind source separation and blind equalization systems," Journal of Signal Processing, vol. 4, no. 2, pp. 131-140, Mar. 2000.
       
    7. 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. 
       
    8. S. Choi and A. Cichocki, "Blind separation of nonstationary sources in noisy mixtures," Electronics Letters, vol. 36, no. 9, pp. 848-849, Apr. 2000. 
       
    9. S. Choi, A. Cichocki, and S. Amari, "Flexible independent component analysis," Journal of VLSI Signal Processing, vol. 26, pp. 25-38, 2000. 
       
    10. A. Cichocki and R. Thawonmas, "On-line algorithm for blind signal extraction of arbitrarily distributed, but temporally correlated sources using sencond order statistics," Neural Processing Letters, vol. 12, pp. 91-98, Aug. 2000.
       
    11. S. A. Cruces-Alvarez, A. Cichocki, and L. Castedo-Ribas, "An iterative inversion approach to blind source separation," IEEE Transactions on Neural Networks, vol. 11, no. 6, pp. 1423-1437, 2000. 
       
    12. A. Date, C. Hwang, and S. Sheu, "On the number of equilibrium states in weakly coupled random networks," Statistics & Probability Letters, vol. 49, pp. 291-297, 2000.
       
    13. R. R. Gharieb, "Higher order stastics based IIR notch filtering scheme for enhancing sinuoids in colored noise," IEE Proceedings of Visual Image Signal Processing, vol. 147, no. 2, pp. 115-121, 2000.
       
    14. G. Hori, "Isospectral gradient flows for non-symmetric eigenvalue problem," The Japan Journal of Industrial and Applied Mathematics, vol. 17, no. 1, pp. 27-42, 2000.
       
    15. S. Kawaguchi, "Stability gap between off- and on-firing states in a coupled Ginzburg-Landau oscillator neural network," Progress of Theoretical Physics, vol. 104, no. 4, pp. 709-721, Oct. 2000.
       
    16. T. Lobos, P. Kostyla, Z. Waclawek, and A. Cichocki, "Adaptive neural networks for robust estimation of signal parameters," COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 19, pp. 903-904, 2000.
       
    17. L. Zhang and A. Cichocki, "Blind deconvolution of dynamical systems: A state-space approach," Journal of Signal Processing, vol. 4, no. 2, pp. 111-130, Mar. 2000. 
    1999
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    1. T. Aonishi, K. Kurata, and M. Okada, "A statistical mechanics of an oscillator associative memory with scattered natural frequencies," Physical Review Letters, vol. 82, no. 13, pp. 2800-2803, 1999.
       
    2. A. D. Back, B. G. Horne, A. C. Tsoi, and C. Lee Giles, "Alternative discrete-time operations: An algorithm for optimal selection of parameters," IEEE Transactions on Signal Processing, vol. 47, no. 9, pp. 2612-2615, Sept. 1999.
       
    3. E. Bodyanskiy, S. Vorobyov, and A. Stephan, "Algorithm for adaptive identification of dynamical parametrically nonstationary objects," Journal of Computer and Systems Sciences International, no. 1, pp. 19-23, 1999.
       
    4. Y. V. Bodyanskiy, S. A. Vorobyov, and V. A. Timofeev, "Adaptive recognition of the states of dynamical object with periodic output signal," Pattern Recognition and Image Analysis, vol. 9, no. 3, pp. 505-509, 1999.
       
    5. S. Choi, "Linear neural networks with FIR synapses for blind deconvolution and equalization," Journal of Electrical Engineering and Information Science, vol. 4, no. 2, pp. 224-231, Apr. 1999.
       
    6. 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, pp. 19-25, Mar. 1999.
       
    7. S. Choi and A. Cichocki, "Hybrid learning approach to blind deconvolution of linear mimo systems," Electronics Letters, vol. 35, no. 17, pp. 1429-1430, 1999. 
       
    8. A. Cichocki, J. Karhunen, W. Kasprzak, and R. Vigario, "Neural networks for blind separation with unknown number of sources," Neurocomputing, vol. 24, pp. 55-93, 1999.
       
    9. S. C. Douglas, A. Cichocki, and S. Amari, "Self-whitening algorithms for adaptive equalization and deconvolution," IEEE Transactions on Signal Processing, vol. 47, no. 4, pp. 1161-1165, Apr. 1999. 
       
    10. R. R. Gharieb, "Cumulant-based lp method for two-dimentional spectral estimation," IEE Proceedings of Visual Image Signal Processing, vol. 146, no. 6, pp. 307-312, 1999.
       
    11. S. Kawaguchi and M. Mimura, "Collision of traveling waves in a reaction-diffusion system with global coupling effect," SIAM Journal of Applied Mathematics, vol. 59, no. 3, pp. 920-941, 1999.
       
    12. S. Osowski and A. Cichocki, "Learning dynamic neural networks using signal flow graphs," International Journal of Circuit Theory and Applications, vol. 27, pp. 209-228, Apr. 1999.
       
    13. R. Thawonmas and A. Cichocki, "Blind signal extraction of arbitrarily distributed, but temporally correlated signals: A neural network approach," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E82-A, no. 9, pp. 1834-1844, Sept. 1999.
       
    14. S. Vorobyov and E. Bodyanskiy, "On one non-parametric algorithm for smoothing parameter control in adaptive filtering," Engineering Simulation, vol. 16, no. 3, pp. 341-350, 1999.
       
    15. 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, pp. 293-295, 1999. 
    1998
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    1. S. Amari and A. Cichocki, "Adaptive blind signal processing: Neural network approaches," Proceedings of the IEEE, vol. 86, no. 10, pp. 2026-2048, Oct. 1998.
       
    2. A. Back and A. Tsoi, "A low-sensitivity recurrent neural network," Neural Computation, vol. 10, no. 1, pp. 165-188, 1998.
       
    3. S. Choi and A. Cichocki, "Cascade neural networks for multichannel blind deconvolution," Electronics Letters, vol. 34, no. 12, pp. 1186-1187, 1998. 
       
    4. 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, Jan. 1998. 
       
    5. A. Cichocki, "Blind identification and separation of noisy source signals-neural network approaches," ISCIE Journal, vol. 42, no. 2, pp. 63-73, 1998.
       
    6. A. Cichocki, S. C. Douglas, and S. Amari, "Robust techniques for independent component analysis (ICA) with noisy data," Neurocomputing, vol. 22, no. 1-3, pp. 113-129, Nov. 1998. 
       
    7. A. Cichocki, P. Kostyla, T. Lobos, and Z. Waclawek, "Neural networks for real-time estimation of parameters of signals in power systems," International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, vol. 6, no. 3, pp. 131-140, 1998.
       
    8. A. Cichocki and R. Unbehauen, "Neural networks for optimization and signal processing," Journal of Signal Processing, vol. 2, pp. 62-63, 1998.
       
    9. S. C. Douglas, A. Cichocki, and S. Amari, "Bias removal technique for blind source separation with noisy measurements," Electronics Letters, vol. 34, no. 14, pp. 1379-1380, July 1998.
       
    10. M. Girolami, A. Cichocki, and S. Amari, "A common neural-network model for unsupervised exploratory data analysis and independent component analysis," IEEE Transactions on Neural Networks, vol. 9, no. 6, pp. 1495-1501, 1998. 
       
    11. R. Thawonmas, A. Cichocki, and S. Amari, "A cascade neural network for blind signal extraction without spurious equilibria," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E81-A, no. 9, pp. 1833-1846, Sept. 1998.
       
    12. 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, pp. 291-300, 1998.
    1997
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    1. M. Adachi and K. Aihara, "Associative dynamics in a chaotic neural network," Neural Networks, vol. 10, no. 1, pp. 83-98, Jan. 1997.
       
    2. S. Amari, T. Chen, and A. Cichocki, "Stability analysis of learning algorithms for blind source separation," Neural Networks, vol. 10, no. 8, pp. 1345-1351, 1997.
       
    3. A. D. Back and A. S. Weigend, "A first application of independent component analysis to extracting structure from stock returns," International Journal of Neural Systems, vol. 8, no. 4, pp. 473-484, Aug. 1997.
       
    4. J. Cao and T. Yahagi, "Parallel nonlinear adaptive digital filters using recurrent neural networks," Electronics and Communications in Japan, vol. 80, no. 3, pp. 868-877, 1997.
       
    5. 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 and Computer Sciences, vol. E80-A, no. 9, pp. 1595-1603, 1997.
       
    6. A. Cichocki and A. Bargiela, "Neural networks for solving linear inequality systems," Parallel Computing, vol. 22, pp. 1455-1475, 1997.
       
    7. A. Cichocki, R. Bogner, L. Moszcynski, and K. Pope, "Modified Herault-Jutten algorithms for blind separation of sources," Digital Signal Processing, vol. 7, no. 2, pp. 80-93, Apr. 1997.
       
    8. A. Cichocki, R. Thawonmas, and S. Amari, "Sequential blind signal extraction in order specified by stochastic properties," Electronics Letters, vol. 33, no. 1, pp. 64-65, Jan. 1997.
       
    9. S. C. Douglas and A. Cichocki, "Neural networks for blind decorrelation of signals," IEEE Transactions on Signal Processing, vol. 45, no. 11, pp. 2829-2842, Nov. 1997. 
       
    10. S. C. Douglas and C. A., "On-line step size selection for training adaptive systems," IEEE Signal Processing Magazine, vol. 14, no. 6, pp. 45-46, Nov. 1997.
       
    11. 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, pp. 219-237, 1997.
       
    12. W. Kasprzak, A. Cichocki, and S. Amari, "Blind source separation with convolutive noise cancellation," Neural Computing & Applications, vol. 6, pp. 127-141, Nov. 1997.
       
    13. S. Lawrence, C. Lee Giles, A. C. Tsoi, and A. D. Back, "Face recoginition: a hybrid neural network approach," IEEE Transactions on Neural Networks, vol. 8, no. 1, pp. 98-113, 1997.
       
    14. S. Lawrence, A. D. Back, A. C. Tsoi, and C. Lee Giles, "On the distribution of performance from multiple neural-network trials," IEEE Transactions on Neural Networks, vol. 8, pp. 1507-1517, 1997.
       
    15. F. Luo, R. Unbehauen, and A. Cichocki, "A minor component analysis algorithm," Neural Networks, vol. 10, no. 2, pp. 291-297, Mar. 1997.
       
    16. S. Osowski and A. Cichocki, "Ladder network design through optimization," Bull. of Polish Academy of Sciences, vol. 45, pp. 403-415, 1997.
       
    17. R. Thawonmas and S. Abe, "A novel approach to feature selection based on analysis of class regions," IEEE Transactions on Systems, Man, and Cybernetics B, vol. 27, no. 2, pp. 196-207, Apr. 1997.
       
    18. A. Tsoi and A. Back, "Discrete time recurrent neural network architectures: A unifying review," Neurocomputing, vol. 15, no. 3 and 4, pp. 183-223, 1997.
    1996
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    1. A. Cichocki and W. Kasprzak, "Nonlinear learning algorithms for blind separation of natural images," Neural Network World, vol. 6, no. 4, pp. 515-523, 1996. 
       
    2. A. Cichocki and R. Unbehauen, "Robust neural networks with on-line learning for blind identification and blind separation of sources," IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications, vol. 43, pp. 894-906, Nov. 1996.
       
    3. A. Cichocki, R. Unbehauen, K. Weinzierl, and R. Hoelzel, "A new neural network for solving linear programming problems," European Journal of Operational Research, vol. 9, pp. 244-256, 1996.
       
    4. E. S. Chng, S. Chen, and B. Mulgrew, "Gradient radial basis function for nonlinear and nonstationary time series prediction," IEEE Transactions on Neural Networks, vol. 7, no. 1, pp. 190-194, 1996.
       
    5. E. S. Chng, H. Yang, and W. Skarbek, "Reduced complexity implementation of the bayesian equalizer using local RBF network for channel equalization problem," Electronics Letters, vol. 32, no. 1, pp. 17-19, 1996. 
       
    6. S. C. Douglas, A. Cichocki, and S. Amari, "Fast-convergence filtered regressor algorithms for blind equalization," Electronics Letters, vol. 32, no. 23, pp. 2114-2115, Nov. 1996.
       
    7. K. Glass, M. Adachi, and A. Mees, "Noise tolerance of the AGOY control method for stabilizing chaotic systems," International Journal of Bifurcations and Chaos, vol. 6, no. 7, pp. 1333-1340, July 1996.
       
    8. A. Krzyzak, "On nonparametric estimation of nonlinear dynamic systems by the fourier series estimate," Signal Processing, vol. 52, pp. 299-321, 1996.
       
    9. M. J. Ogorzalek, Z. Galias, A. Dabrowski, and W. Dabrowski, "Wave propagation, pattern formation and memory effects in large arrays of interconnected chaotic circuits," International Journal of Bifurcation and Chaos, vol. 6, no. 10, pp. 1859-1871, 1996.
       
    10. S. Osowski, P. Bojarczak, and M. Stodolski, "Fast second order learning algorithm for feedforward multi-layer neural networks and its applications," Neural Networks, vol. 9, pp. 1583-1596, 1996. 
       
    11. W. Skarbek, "Banach constructor and image compression - theoretical foundations of computer vision," Computing, vol. Suppl. 11, pp. 167-182, 1996.
       
    12. W. Skarbek and A. Cichocki, "Image associative memory by recurrent neural subnetworks," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E79-A, no. 10, pp. 1638-1646, 1996. 
       
    13. W. Skarbek and A. Cichocki, "Robust image association by recurrent neural networks," Neural Processing Letters, vol. 3, no. 3, pp. 131-138, 1996.
       
    14. W. Skarbek, A. Cichocki, and W. Kasprzak, "Principal subspace analysis for incomplete image data in one learning epoch," Neural Network World, vol. 6, no. 3, pp. 375-382, 1996. 
       
    15. W. Skarbek and K. Ignasiak, "Fast VQ codebook search in KLT space," Neural Network World, vol. 6, no. 3, pp. 383-386, 1996. 
       
    16. W. Skarbek and K. Ignasiak, "Asynchronous nonlinear fractal operators and their applications," Image Processing and Communications, vol. 2, no. 2, pp. 3-20, 1996.
       
    17. R. Thawonmas and S. Abe, "Extraction of fuzzy rules for classification based on partitioned hyperboxes," Journal of Intelligent and Fuzzy Systems, vol. 4, no. 3, pp. 215-226, 1996.
    1995
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    1. 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, no. 1, pp. 105-138, 1995.
       
    2. 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, pp. 7-41, 1995.
       
    3. M. J. Ogorzalek, Z. Galias, A. Dabrowski, and W. Dabrowski, "Chaotic waves and spatio-temporal patterns in large arrays of doubly-coupled Chua's circuits," IEEE Transactions on Circuits and Systems, vol. CAS-41, no. 10, pp. 706-714, 1995.
       
    4. W. Skarbek, "On convergence of affine fractal operators," Image Processing and Communications, vol. 1, no. 1, pp. 33-41, 1995. 
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