A. Cichocki

Shun-ichi Amari, Andrzej Cichocki, Włodzimierz Kasprzak, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

Rate of Convergence of the FOCUSS Algorithm

Zhaoshui He, Andrzej Cichocki, Xiaozhao Fang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface

A. Cichocki, Toshihisa Tanaka, H. Bakardjian, 2010, Neuroscience Letters.

Information-theoretic approach to blind separation of sources in non-linear mixture

Andrzej Cichocki, Shun-ichi Amari, Howard Hua Yang, 1998, Signal Process..

SPARSE COMPONENT ANALYSIS FOR BLIND SOURCE SEPARATION WITH LESS SENSORS THAN SOURCES

S. Amari, A. Cichocki, Yuanqing Li, 2003 .

An empirical EEG analysis in brain death diagnosis for adults

A. Cichocki, Zhe Chen, Jianting Cao, 2008, Cognitive Neurodynamics.

Blind Signal Processing Methods for Analyzing Multichannel Brain Signals

A. Cichocki, 2004 .

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs

A. Cichocki, Talgat Daulbaev, A. Katrutsa, 2020, NeurIPS.

Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

Xingyu Wang, Yu Zhang, Guoxu Zhou, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A novel BCI based on ERP components sensitive to configural processing of human faces

A. Cichocki, Xingyu Wang, Jing Jin, 2012, Journal of neural engineering.

A tensorial approach to single trial recognition for Brain Computer Interface

Andrzej Cichocki, Anh Huy Phan, Thanh Vu-Dinh, 2010, The 2010 International Conference on Advanced Technologies for Communications.

Tensor decompositions for feature extraction and classification of high dimensional datasets

A. Cichocki, A. Phan, 2010 .

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data

Liqing Zhang, Andrzej Cichocki, Tülay Adali, 2013, IEEE Signal Processing Magazine.

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2019, IEEE Transactions on Cybernetics.

SSVEP recognition using common feature analysis in brain–computer interface

Xingyu Wang, Andrzej Cichocki, Guoxu Zhou, 2015, Journal of Neuroscience Methods.

The Changing Face of P300 BCIs: A Comparison of Stimulus Changes in a P300 BCI Involving Faces, Emotion, and Movement

A. Cichocki, A. Kübler, T. Kaufmann, 2012, PloS one.

Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2012, Int. J. Neural Syst..

A Cascade Neural Network for Blind Signal Extraction without Spurious Equilibria

S. Amari, A. Cichocki, R. Thawonmas, 1998 .

Cortical functional connectivity networks in normal and spinal cord injured patients: Evaluation by graph analysis

A. Cichocki, J. Kurths, F. Cincotti, 2007, Human brain mapping.

Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms

Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, 2006, ICA.

Robust Bayesian Tensor Factorization for Incomplete Multiway Data pdf

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2014, ArXiv.

Block decomposition for very large-scale nonnegative tensor factorization

A. Cichocki, A. Phan, 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases

Andrzej Cichocki, Cesar F. Caiafa, A. Cichocki, 2013, Neural Computation.

Generalizing the column–row matrix decomposition to multi-way arrays

A. Cichocki, C. Caiafa, 2010 .

An optimized ERP brain–computer interface based on facial expression changes

A. Cichocki, Xingyu Wang, Jing Jin, 2014, Journal of neural engineering.

Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP

Andrzej Cichocki, Cesar F. Caiafa, A. Cichocki, 2009, Neural Computation.

Nonnegative Matrix and Tensor Factorization [Lecture Notes]

S. Amari, A. Cichocki, R. Zdunek, 2008, IEEE Signal Processing Magazine.

Neural networks for blind decorrelation of signals

Andrzej Cichocki, Scott C. Douglas, S. Douglas, 1997, IEEE Trans. Signal Process..

Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2007, ISNN.

Neural network approach to blind separation and enhancement of images

Andrzej Cichocki, Shun-ichi Amari, Wlodzimierz Kasprzak, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Semiparametric model and superefficiency in blind deconvolution

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2001, Signal Process..

Geometrical structures of FIR manifold and their application to multichannel blind deconvolution

S. Amari, A. Cichocki, A. Cichocki, 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).

A common neural-network model for unsupervised exploratory data analysis and independent component analysis

Andrzej Cichocki, Shun-ichi Amari, Mark A. Girolami, 1998, IEEE Trans. Neural Networks.

Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

A. Cichocki, J. Dauwels, F. Vialatte, 2010 .

Blind Source Separation and Deconvolution of Fast Sampled Signals

Andrzej Cichocki, A. D. Back, A. Cichocki, 1997, ICONIP.

On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach

Shun-ichi Amari, Andrzej Cichocki, B. Orsier, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach

Shun-ichi Amari, Scott C. Douglas, Andrzej Cichocki, 1997 .

Robust techniques for independent component analysis (ICA) with noisy data

Andrzej Cichocki, Shun-ichi Amari, Scott C. Douglas, 1998, Neurocomputing.

Self-adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with an un

A. Cichocki, Seungjin Choi, B. Orsier, 1997 .

On Similarity Measures for Spike Trains

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2008, ICONIP.

Adaptive blind signal and image processing

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2002 .

Robust whitening procedure in blind source separation context

A. Cichocki, A. Belouchrani, 2000 .

Estimating function approach to multichannel blind deconvolution

S. Amari, A. Cichocki, A. Cichocki, 2000, IEEE APCCAS 2000. 2000 IEEE Asia-Pacific Conference on Circuits and Systems. Electronic Communication Systems. (Cat. No.00EX394).

CRITERIA FOR THE SIMULTANEOUS BLIND EXTRACTION OF ARBITRARY GROUPS OF SOURCES

S. Amari, A. Cichocki, S. Cruces, 2001 .

Blind signal deconvolution by spatio-temporal decorrelation and demixing

A. Cichocki, Seungjin Choi, Andrzej Cichocki, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Modified Herault-Jutten Algorithms for Blind Separation of Sources

Andrzej Cichocki, Kenneth J. Pope, Robert E. Bogner, 1997, Digit. Signal Process..

Hierarchical Neural Network for Robust PCA Computation of Complex Valued Signals

A. Cichocki, R. Bogner, 1996 .

Neural networks for blind separation with unknown number of sources

Juha Karhunen, Andrzej Cichocki, Ricardo Vigário, 1999, Neurocomputing.

Quantifying Statistical Interdependence by Message Passing on Graphs—Part I: One-Dimensional Point Processes

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2009, Neural Computation.

EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease

A. Cichocki, Zbigniew Leonowicz, T. Musha, 2005, Clinical Neurophysiology.

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Flexible Independent Component Analysis

S. Amari, A. Cichocki, Seungjin Choi, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization

Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, 2007, ICA.

Robust estimation of principal components by using neural network learning algorithms

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1993 .

Non-Orthogonal Tensor Diagonalization, a Tool for Block Tensor Decompositions

A. Cichocki, P. Tichavský, A. Phan, 2014 .

Neural networks for optimization and signal processing

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1993 .

Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives

A. Cichocki, J. Dauwels, F. Vialatte, 2010, Progress in Neurobiology.

Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Quantifying Statistical Interdependence, Part III: N > 2 Point Processes

Andrzej Cichocki, Justin Dauwels, Toshimitsu Musha, 2011, Neural Computation.

Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

A. Cichocki, J. Dauwels, F. Vialatte, 2010, Current Alzheimer research.

Approximate maximum likelihood source separation using the natural gradient

S. Amari, A. Cichocki, Liqing Zhang, 2001, 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471).

Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2004, IEEE Transactions on Signal Processing.

Blind Deconvolution of Dynamical Systems:A State-Space Approach

A. Cichocki, Liqing Zhang, 2000 .

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Sequential blind signal extraction in order specified by stochastic properties

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1997 .

alidating rationale of group-level component analysis based on estimating umber of sources in EEG through model order selection

A. Cichocki, H. Lyytinen, Zhaoshui He, 2012 .

Non-Holonomic Constraints in Learning Blind Source Separation

Andrzej Cichocki, Shun-ichi Amari, Ta Chen, 1997, International Conference on Neural Information Processing.

Kalman filter and state-space approach to blind deconvolution

Shun-ichi Amari, Andrzej Cichocki, L.-Q. Zhang, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Masashi Sugiyama, Andrzej Cichocki, Danilo P. Mandic, 2017, Found. Trends Mach. Learn..

脳機能計測と生体信号入出力(第7回)Tensor Decompositions: New Concepts in Brain Data Analysis?

A. Cichocki, 2011 .

Sparse Representation and Its Applications in Blind Source Separation

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2003, NIPS.

Multi-Layer Neural Networks with a Local Adaptive Learning Rule for Blind Separation of Source Signa

Shun-ichi Amari, Andrzej Cichocki, Włodzimierz Kasprzak, 1995 .

Second Order Nonstationary Source Separation

Andrzej Cichocki, Seungjin Choi, Adel Belouchrani, 2002, J. VLSI Signal Process..

EEG filtering based on blind source separation (BSS) improves detection of Alzheimer disease

A. Cichocki, Zbigniew Leonowicz, T. Musha, 2004 .

On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review

Andrzej Cichocki, Justin Dauwels, A. Cichocki, 2011 .

Subliminal Priming—State of the Art and Future Perspectives

Derek Abbott, Andrzej Cichocki, Mohamed Elgendi, 2018, Behavioral sciences.

USING INDEPENDENT COMPONENT ANALYSIS AND HIGHER ORDER STATISTICS

Andrzej Cichocki, Andrew D. Back, A. Cichocki, 1998 .

Non-negative matrix factorization and its application in blind sparse source separation with less sensors than sources

Andrzej Cichocki, Yuanqing Li, A. Cichocki, 2005 .

Estimate of Causality Between Independent Cortical Spatial Patterns During Movement Volition in Spinal Cord Injured Patients

A. Cichocki, Y. Yamaguchi, F. Babiloni, 2007, Brain Topography.

Estimate of Causality Between Cortical Spatial Patterns During Voluntary Movements in Normal Subjects

A. Cichocki, Y. Yamaguchi, F. Cincotti, 2006 .

Ocular Artifacts Removal from EEG Using EMD

Tomasz M. Rutkowski, A. Cichocki, D. Mandic, 2008 .

Appendix A: Mathematical Preliminaries

S. Amari, A. Cichocki, 2002 .

The spectrometer/telescope for imaging X-rays on board the ESA Solar Orbiter spacecraft

A. Cichocki, V. Commichau, D. Casadei, 2013 .

A survey of the dummy face and human face stimuli used in BCI paradigm

A. Cichocki, Xingyu Wang, Jing Jin, 2015, Journal of Neuroscience Methods.

MOS Devices for Linear Analog Integrated Circuits

A. Cichocki, R. Unbehauen, 1989 .

Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals

A. Cichocki, 2006 .

SPARSE COMPONENT ANALYSIS BY IMPROVED BASIS PURSUIT METHOD

Pando G. Georgiev, A. Cichocki, P. Georgiev, 2003 .

GLOBALLY CONVERGENT NEWTON ALGORITHMS FOR BLIND DECORRELATION

A. Cichocki, S. Cruces, 2003 .

EXTRACTION FROM INTERFERENCES IN REAL ENVIRONMENT USING BANK OF FILTERS AND BLIND SOURCE SEPARATION

A. K. Barros, A. Cichocki, T. Rutkowski, 2000 .

Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction

A. Cichocki, L. Trejo, R. Rosipal, 2001 .

CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, IEEE Transactions on Signal Processing.

Fast multispectral deep fusion networks

A. Cichocki, V. Osin, E. Burnaev, 2018 .

The Effects of Audiovisual Inputs on Solving the Cocktail Party Problem in the Human Brain: An fMRI Study

A. Cichocki, T. Sejnowski, Yuanqing Li, 2018, Cerebral cortex.

Techniques for early detection of Alzheimer's disease using spontaneous EEG recordings

A. Cichocki, T. Musha, W. Woon, 2007, Physiological measurement.

TENSOR CLASSIFICATION FOR P 300-BASED BRAIN COMPUTER INTERFACE

A. Cichocki, K. Matsuoka, A. Phan, 2012 .

On a new blind signal extraction algorithm: different criteria and stability analysis

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2002, IEEE Signal Processing Letters.

A Brief Guide for TDALAB Ver 1 . 1

A. Cichocki, Guoxu Zhou, 2013 .

Fast and unique Tucker decompositions via multiway blind source separation

Andrzej Cichocki, A. Cichocki, G. Zhou, 2012 .

FEATURE EXTRACTION FOR CANCER PREDICTION BY TENSOR DECOMPOSITION OF 1D PROTEIN EXPRESSION LEVELS

A. Cichocki, I. Kopriva, Ante Jukic, 2011 .

Non-negative mixtures

Mark D. Plumbley, Andrzej Cichocki, Rasmus Bro, 2010 .

Application of Selected Projected Gradient Algorithms to Nonnegative Matrix Factorization

A. Cichocki, R. Zdunek, 2008 .

A. K. Barros, A. Cichocki, S. Okuma, 2003 .

Semiparametric Approach to Blind Deconvolution

Liqing Zhang, Shun-ichi Amari, Jianting Cao, 1999 .

Extended SMART Algorithms for Non-negative

S. Amari, A. Cichocki, R. Zdunek, 2006 .

Comparison of ICA/BSS algorithms for noisy data

Shun-ichi Amari, Seungjin Choi, Soo-Young Lee, 2000 .

Semiparametric Approach to Blind Separation of Dynamic Systems

A. Cichocki, L.-Q. Zhang, S. Amari, 1999 .

Geometrical Structures of FIR Manifold and Multichannel Blind Deconvolution

Andrzej Cichocki, Shun-ichi Amari, Liqing Zhang, 2002 .

Self-Whitening Adaptive Equalization andDeconvolution

S. Amari, A. Cichocki, A. Douglas, 1998 .

MULTICHANNEL BLIND SEPARATION ANDDECONVOLUTION OF SOURCES WITHARBITRARY

S. Amari, A. Cichocki, DISTRIBUTIONSScott C. Douglas, 1997 .

Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1997, ICONIP.

Relationships between instantaneous blind source separation and multichannel blind deconvolution

Andrzej Cichocki, S. Amari, A. Cichocki, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Neural networks for solving systems linear inequality

A. Cichocki, A. Bargiela, 2003 .

Natural Gradient Learning Algorithms for Decorrelation

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1997, ICONIP.

Natural Gradient Learning for Spatio-temporal Decorrelation : Recurrent Network

S. Amari, A. Cichocki, Shunichi AMARI, 2001 .

Neural Network Models for Blind Separation of Time Delayed and Convolved Signals

Shun-ichi Amari, Jianting Cao, Andrzej Cichocki, 1997 .

Single-Trial Magnetoencephalographic Data Decomposition and Localization Based on Independent Component Analysis Approach

Tsunehiro Takeda, Andrzej Cichocki, Shun-ichi Amari, 2000 .

An improved P300 pattern in BCI to catch user’s attention

Andrzej Cichocki, Ian Daly, Jing Jin, 2017, Journal of neural engineering.

Prognosis for patients with cognitive motor dissociation identified by brain-computer interface

A. Cichocki, Yuanqing Li, Pengmin Qin, 2020, Brain : a journal of neurology.

A theta-band EEG based index for early diagnosis of Alzheimer's disease.

A. Cichocki, J. Dauwels, F. Vialatte, 2014, Journal of Alzheimer's disease : JAD.

Source Separation and Applications [From the Guest Editors]

Arie Yeredor, Andrzej Cichocki, Christian Jutten, 2014 .

Audio representations of multi-channel EEG: a new tool for diagnosis of brain disorders.

Andrzej Cichocki, Justin Dauwels, Toshimitsu Musha, 2012, American journal of neurodegenerative disease.

Sparse Bump Sonification : a New Tool for Multichannel EEG Diagnosis of Brain Disorders

Andrzej Cichocki, Toshimitsu Musha, A. Cichocki, 2009 .

Optimization techniques for independent component analysis with applications to EEG data

Pando G. Georgiev, A. Cichocki, P. Georgiev, 2004 .

On Some New Ideas and Algorithms for Independent Component Analysis (Nonlinear Analysis and Convex Analysis)

Andrzej Cichocki, Pando Georgiev, A. Cichocki, 2002 .

Discussion of “Time-frequency Techniques in Biomedical Signal Analysis: A Tutorial Review of Similarities and Differences”

G Pfurtscheller, K J Blinowska, P J Durka, 2013, Methods of Information in Medicine.

Quantifying Statistical Interdependence PART III: n > 2 Multi-Dimensional Point Processes

Andrzej Cichocki, Justin Dauwels, Francois Vialatte, 2009 .

Analyzing brain signals by combinatorial optimization

A. Cichocki, T. Weber, J. Dauwels, 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

Time-frequency and synchrony analysis of responses to steady-state auditory and musical stimuli from multichannel EEG

Tomasz M. Rutkowski, A. Cichocki, D. Mandic, 2007 .

Decreasing the interference of visual-based P300 BCI using facial expression changes

A. Cichocki, Xingyu Wang, Jing Jin, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Electroencephalographic gamma-band activity and music perception in musicians and non-musicians

A. Cichocki, Y. Washizawa, Y. Urakami, 2013 .

INPUT VARIABLE SELECTION USING INDEPENDENT COMPONENT ANAL YSIS AND HIGHER ORDER STATISTICS

A. Cichocki, A. Back, 2007 .

Independent variable selection: Application of independent component analysis to forecasting a stock index

A. Cichocki, Zbigniew Leonowicz, Stanley R. Stansell, 2005 .

INDEPENDENDT VARIABLE SELECTION: AN APPLICATION OF INDEPENDENT COMPONENT ANALYSIS TO FORECASTING A STOCK INDEX By

A. Cichocki, Stanley R. Stansell, Robert Dillard Teer, 2004 .

SPARSE REPRESENTATION AND BLIND DECONVOLUTION OF DYNAMICAL SYSTEMS

A. Cichocki, Liqing Zhang, 2001 .

Hierarchical model with piecewise latent process for globally sparse / locally smooth brain generators imaging

A. Cichocki, A. Hazart, Olivier Ferony, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

A Projection Pursuit Methodology for Blind Signal Extraction

A. Cichocki, S. Cruces, 2003 .

Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns

A. Cichocki, Xingyu Wang, Jing Jin, 2020, Frontiers in Neuroscience.

BCI-Based Rehabilitation on the Stroke in Sequela Stage

A. Cichocki, T. Jung, Xingyu Wang, 2020, Neural plasticity.

A Bias Removal Technique for Blind Source Separation With

S. Douglas, A. Cichocki, 1998 .

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

A. Cichocki, I. Oseledets, A. Phan, 2022, ArXiv.

Methods for factorization and approximation of Tensors by partial Fiber Sampling

A. Cichocki, C. Caiafa, 2009, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing.

Nested-feedback-loops realization of 2-D systems

A. Cichocki, 1982 .

Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG

A. Cichocki, Yu Zhang, Qibin Zhao, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Independent Component Analysis and Evolving Fuzzy Neural Networks for the Classification of Single Trial EEG Data

A. Cichocki, N. Kasabov, Carl Leichter, 2001 .

Introduction – Problem Statements and Models

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Speech comprehension assessed by electroencephalography: A new method using m-sequence modulation

A. Cichocki, S. Koyama, A. Matani, 2007, Neuroscience Research.

2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Urbashi Mitra, Ali H. Sayed, Marc Moonen, 2008 .

From Auditory and Visual to Immersive Neurofeedback: Application to Diagnosis of Alzheimer’s Disease

Daniel Thalmann, Nadia Magnenat-Thalmann, Andrzej Cichocki, 2014 .

Multi-Way Component Analysis for Structured Tensor Data: A Signal Processing Perspective

A. Cichocki, D. Mandic, Qianchuan Zhao, 2012 .

Modeling Transient Oscillations in the EEG of Patients with Mild Cognitive Impairment

A. Cichocki, D. Prvulovic, J. Pantel, 2011 .

Title Slowing and loss of complexity in Alzheimer ' s EEG : twosides of the same coin ?

A. Cichocki, Jaeseung Jeong, K. Srinivasan, 2017 .

A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller

A. Cichocki, Xingyu Wang, Jing Jin, 2022, Frontiers in Human Neuroscience.

A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface

A. Cichocki, Xingyu Wang, Jing Jin, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Special issue on information theoretic learning.

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE transactions on neural networks.

Guest Editorial Special Issue on Information Theoretic Learning

Erkki Oja, Andrzej Cichocki, Deniz Erdogmus, 2004, IEEE Trans. Neural Networks.

A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives

Nigel H. Lovell, Derek Abbott, Andrzej Cichocki, 2016 .

Information Fusion Analysis in Time-Frequency Domain of Brain Responses Dynamics to Affective Stimuli

Tomasz M. Rutkowski, A. Cichocki, D. Mandic, 2009 .

P31.3 On the estimation of causality between cortical spatial patterns during voluntary movements in normal subjects by using independent component analysis

A. Cichocki, Y. Yamaguchi, F. Babiloni, 2006, Clinical Neurophysiology.

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, 2207.06072.

Blind sources separation for noisy signals

Krzysztof Siwek, Andrzej Cichocki, A. Cichocki, 2002 .

Knowledge-Based Intelligent Information and Engineering Systems

Allan Kardec Barros, Andrzej Cichocki, Danilo P. Mandic, 2006 .

Robust image association by recurrent neural subnetworks

Wladyslaw Skarbek, Andrzej Cichocki, A. Cichocki, 1996, Neural Processing Letters.

Image Associative Memory by Recurrent Neural Sub-networks (Special Section on Nonlinear Theory and its Applications)

A. Cichocki, W. Skarbek, 1996 .

Source localization and synchronization analysis on EEG recorded from professional shooters and novices: A comparison study

Andrzej Cichocki, Junhua Li, Roxana Semenyuk, 2014 .

What are the best motor tasks to use and calibrate SensoriMotor Rhythm Neurofeedback and Brain-Computer Interfaces? A preliminary case study

Andrzej Cichocki, Fabien Lotte, A. Cichocki, 2017 .

Alternating Least Squares and Related Algorithms for NMF and SCA Problems

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2009 .

Randomized algorithms for fast computation of low rank tensor ring model

Anh Huy Phan, Andrzej Cichocki, Salman Ahmadi-Asl, 2020, Mach. Learn. Sci. Technol..

Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format

A. Cichocki, Namgil Lee, 2015, SIAM J. Matrix Anal. Appl..

Tensor diagonalization - a new tool for PARAFAC and block-term decomposition pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, ArXiv.

Coding of faces by tensor components

Anh Huy Phan, Andrzej Cichocki, Sidney R. Lehky, 2017 .

AS-4-1 Multi-Way Blind Source Separation and Features Extraction Using Tensors and Multi-Array Factorization and Decompositions

Andrzej Cichocki, A. Cichocki, 2008 .

Blind Decorrelation and SOS for Robust Blind Identification

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2002 .

Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation

Arie Yeredor, Fabian J. Theis, Andrzej Cichocki, 2012 .

International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies Clinical Neurophysiology

A. Cichocki, M. Hallett, R. Knight, 2019 .

EEG paroxysmal gamma waves during Bhramari Pranayama: A yoga breathing technique

Andrzej Cichocki, Hovagim Bakardjian, François B. Vialatte, 2009, Consciousness and Cognition.

Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition

Andrzej Cichocki, Farnaz Sedighin, A. Cichocki, 2021, Frontiers in Artificial Intelligence.

Analysing ICA component by injection noise

Noboru Murata, Stefan Harmeling, Frank C. Meinecke, 2003 .

Cyborg Intelligence: Towards Bio-Machine Intelligent Systems

Zhaohui Wu, Gang Pan, Andrzej Cichocki, 2014, IEEE Intelligent Systems.

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, ArXiv.

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction

A. Cichocki, I. Oseledets, A. Phan, 2021, IEEE Access.

Novel channel selection model based on graph convolutional network for motor imagery

A. Cichocki, Xingyu Wang, Jing Jin, 2022, Cognitive Neurodynamics.

PARS: Proxy-Based Automatic Rank Selection for Neural Network Compression via Low-Rank Weight Approximation

A. Cichocki, A. Phan, Konstantin Sobolev, 2022, Mathematics.

Quantifying the similarity of multiple point processes with application to early diagnosis of Alzheimer's disease from EEG

A. Cichocki, T. Weber, J. Dauwels, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Quantifying the Similarity of Multiple Multi-Dimensional Point Processes by Integer Programming with Application to Early Diagnosis of Alzheimer ’ s Disease from EEG

A. Cichocki, J. Dauwels, F. Vialatte, 2008 .

Riemannian distance based channel selection and feature extraction combining discriminative time-frequency bands and Riemannian tangent space for MI-BCIs

A. Cichocki, Xingyu Wang, Jing Jin, 2022, Journal of neural engineering.

Sfg Approach to the Sensitivity Determination of Dynamic Recurrent Systems

A. Cichocki, 2022 .

Sparse signal reconstruction via collaborative neurodynamic optimization

A. Cichocki, Hangjun Che, Jun Wang, 2022, Neural Networks.

Convergence analysis of the FOCUSS algorithm

A. Cichocki, Kan Xie, Zhaoshui He, 2012 .

Meta-Solver for Neural Ordinary Differential Equations pdf

Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets, 2021, ArXiv.

Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles

Andrzej Cichocki, Alexander P. Kuleshov, A. Cichocki, 2020, Comput. Intell. Neurosci..

Improving the Specificity of EEG for Diagnosing Alzheimer's Disease

Andrzej Cichocki, Justin Dauwels, Toshimitsu Musha, 2011, International journal of Alzheimer's disease.

Matrix and tensor completion using tensor ring decomposition with sparse representation

Andrzej Cichocki, Salman Ahmadi-Asl, Maame G. Asante-Mensah, 2020, Mach. Learn. Sci. Technol..

Switched-capacitor self-oscillating capacitance transducers with duty-cycle or digital output

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1989 .

Fundamentals of Sampled-Data Systems

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1989 .

APPLICATIONS TO EXPLORATORY MULTI-WAY DATA ANALYSIS AND BLIND SOURCE SEPARATION

Andrzej Cichocki, A. Cichocki, 2013 .

CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network

Andrzej Cichocki, Wanzeng Kong, Qibin Zhao, 2021, ACL.

Sparseness Theorems and Sparse Representation of Signals (Nonlinear Analysis and Convex Analysis)

Andrzej Cichocki, Pando Georgiev, A. Cichocki, 2004 .

Adaptive Rank Selection for Tensor Ring Decomposition

Andrzej Cichocki, Farnaz Sedighin, Anh-Huy Phan, 2021, IEEE Journal of Selected Topics in Signal Processing.

Introduction to Blind Signal Processing: Problems and Applications

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2002 .

Switched-capacitor function generators

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1988 .

Toward distinguishing the different types of attention using EEG signals

Andrzej Cichocki, Fabien Lotte, Léa Pillette, 2018 .

Spatial auditory paradigms for brain computer/machine interfacing

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2009 .

Improving EEG Neurofeedback with Advanced Machine Learning and Signal Processing tools from Brain-Computer Interfaces Research

Andrzej Cichocki, Fabien Lotte, A. Cichocki, 2017 .

Latent Variable Analysis and Signal Separation : 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings

Fabian J Theis, A. Cichocki, M. Zibulevsky, 2012 .

EEG synchrony analysis for early diagnosis of Alzheimer's disease: A several synchrony measures and EEG data sets

A. Cichocki, Jaeseung Jeong, J. Dauwels, 2009 .

Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank

A. Cichocki, Guoxu Zhou, Yichun Qiu, 2020, Multimedia Tools and Applications.

SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding

A. Cichocki, Xingyu Wang, Jing Jin, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Two-stage Blind Deconvolution Using State-space Models

Liqing Zhang, Andrzej Cichocki, A. Cichocki, 1998, ICONIP.

Neurodynamics-based Iteratively Reweighted Convex Optimization for Sparse Signal Reconstruction

A. Cichocki, Hangjun Che, Jun Wang, 2022, International Conference on Information and Software Technologies.

Damped Gauss-Newton algorithm for nonnegative Tucker decomposition

A. Cichocki, P. Tichavský, A. Phan, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Novel hybrid brain–computer interface system based on motor imagery and P300

A. Cichocki, D. Hu, Xingyu Wang, 2019, Cognitive Neurodynamics.

Analysis of EEG Time Series Recorded from Alzheimer Patients Based on Their Spectral Content

A. Cichocki, F. Vialatte, A. Hazart, 2011 .

Cross Tensor Approximation for Image and Video Completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2022, ArXiv.

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

A. Cichocki, I. Oseledets, A. Phan, 2022, NeurIPS.

A Novel Tensor RPCA approach for Background Subtraction from Compressive Measurements

A. Cichocki, Can Yang, Deyu Meng, 2015 .

Analysis of Sparse Representation and Blind Source Separation

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2004, Neural Computation.

Sparse representation of images using alternating linear programming

Yuanqing Li, Andrzej Cichocki, A. Cichocki, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data

A. Cichocki, M. Nazareth da Costa, R. Attux, 2021, ArXiv.

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

Andrzej Cichocki, Roman Rosipal, Mark A. Girolami, 2001, Neural Computing & Applications.

Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting

Lei Chen, Qiquan Shi, Andrzej Cichocki, 2020, AAAI.

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2014, IEEE Signal Processing Magazine.

A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification

Wanzeng Kong, Jianhai Zhang, Andrzej Cichocki, 2020, Appl. Soft Comput..

Information backpropagation for blind separation of sources in nonlinear mixture

H. H. Yang, A. Cichocki, H. H. Yang, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

K-hyperline clustering learning for sparse component analysis

Yuanqing Li, Zhaoshui He, Andrzej Cichocki, 2009, Signal Process..

Nonnegative Matrix and Tensor Factorization T

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2007 .

Sparse Bayesian Classification of EEG for Brain–Computer Interface

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization

Andrzej Cichocki, Guoxu Zhou, Bo Li, 2015, IEEE Signal Processing Letters.

L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

Andrzej Cichocki, Guoxu Zhou, Xingyu Wang, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

EEG-based approach for recognizing human social emotion perception

Andrzej Cichocki, Junhua Li, Changle Zhou, 2020, Adv. Eng. Informatics.

Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

Ian Daly, Andrzej Cichocki, Chang Liu, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2013, Int. J. Neural Syst..

Architectures for analog VLSI implementation of neural networks for solving linear equations with inequality constraints

J. Ramirez-Angulo, A. Cichocki, R. Unbehauen, 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

Naotaka Fujii, Liqing Zhang, Andrzej Cichocki, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications

Jacek M. Zurada, Andrzej Cichocki, A. Cichocki, 2004, ICAISC.

Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank

Andrzej Cichocki, Yu Zhang, Yichun Qiu, 2020, Multimedia Tools and Applications.

Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2016, Neurocomputing.

Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image

Andrzej Cichocki, Ivica Kopriva, Ante Jukic, 2013, Biomed. Signal Process. Control..

Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus

Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz, 2009, Neurocomputing.

A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control

Fumitoshi Matsuno, Andrzej Cichocki, Yu Zhang, 2015, IEEE Transactions on Biomedical Engineering.

EOG/ERP hybrid human-machine interface for robot control

Fumitoshi Matsuno, Andrzej Cichocki, Yu Zhang, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Smooth PARAFAC Decomposition for Tensor Completion

Andrzej Cichocki, Qibin Zhao, Tatsuya Yokota, 2015, IEEE Transactions on Signal Processing.

A fast automatic low-rank determination algorithm for noisy matrix completion

Andrzej Cichocki, Tatsuya Yokota, A. Cichocki, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis

Andrzej Cichocki, Zhe Chen, Pablo Martinez, 2007, ICONIP.

Constrained Projection Approximation Algorithms for Principal Component Analysis

Andrzej Cichocki, Jong-Hoon Ahn, Seungjin Choi, 2006, Neural Processing Letters.

Face Representations via Tensorfaces of Various Complexities

Andrzej Cichocki, Anh Huy Phan, Sidney R. Lehky, 2019, Neural Computation.

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

Feng Duan, Zhe Sun, Zhenglu Yang, 2019, IEEE Access.

Neural networks for computing best rank-one approximations of tensors and its applications

Andrzej Cichocki, Yimin Wei, Maolin Che, 2017, Neurocomputing.

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, Found. Trends Mach. Learn..

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1 pdf

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, ArXiv.

Accelerated Canonical Polyadic Decomposition Using Mode Reduction

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Blind decomposition of low‐dimensional multi‐spectral image by sparse component analysis

Andrzej Cichocki, Ivica Kopriva, A. Cichocki, 2009 .

Blind decomposition of infrared spectra using flexible component analysis

Andrzej Cichocki, Ivica Kopriva, A. Cichocki, 2009 .

Advances in Nonnegative Matrix and Tensor Factorization

Andrzej Cichocki, Paris Smaragdis, Morten Mørup, 2008, Comput. Intell. Neurosci..

Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals

Wei Xing Zheng, Andrzej Cichocki, Da-Zheng Feng, 2007, IEEE Transactions on Signal Processing.

Robust Sparse Component Analysis Based on a Generalized Hough Transform

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2007, EURASIP J. Adv. Signal Process..

Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals

Andrzej Cichocki, Jonathon A. Chambers, Wenwu Wang, 2006, IEEE Transactions on Signal Processing.

ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System

Yuanqing Li, Andrzej Cichocki, Jianzhao Qin, 2005, ISNN.

Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain

Jie Huang, Andrzej Cichocki, Daming Wei, 2005, Int. J. Pervasive Comput. Commun..

From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2004, IEEE Transactions on Neural Networks.

Self-adaptive blind source separation based on activation functions adaptation

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2004, IEEE Transactions on Neural Networks.

Thin QR and SVD factorizations for simultaneous blind signal extraction

Sergio Cruces, Andrzej Cichocki, Lieven De Lathauwer, 2004, 2004 12th European Signal Processing Conference.

Independent Residual Analysis for Temporally Correlated Signals

Liqing Zhang, Andrzej Cichocki, A. Cichocki, 2003, IWANN.

A robust approach to independent component analysis of signals with high-level noise measurements

Andrzej Cichocki, Shun-ichi Amari, Noboru Murata, 2003, IEEE Trans. Neural Networks.

Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error

Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi, 2003, Int. J. Neural Syst..

Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation

Andreas Ziehe, A. Cichocki, S. Makino, 2003 .

Neural Coding by Temporal and Spatial Correlations

Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi, 2003 .

COMBINING BLIND SOURCE EXTRACTION WITH JOINT APPROXIMATE DIAGONALIZATION: THIN ALGORITHMS FOR ICA

Sergio Cruces, Andrzej Cichocki, Camino Descubrimientos, 2003 .

Robust blind source separation algorithms using cumulants

Sergio Cruces, Andrzej Cichocki, Luis Castedo, 2002, Neurocomputing.

Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization

Andrzej Cichocki, Shun-ichi Amari, Noboru Murata, 2002, Neurocomputing.

Non independent strategies for blind source separation in functional MRI

Krzysztof Siwek, Andrzej Cichocki, Jagath C. Rajapakse, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Independent component analysis and beyond in brain imaging: EEG, MEG, fMRI, and PET

J.C. Rajapakse, A. Cichocki, V.D. Sanchez A, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Neural Coding by Redundancy Reduction and Correlation

Allan Kardec Barros, Andrzej Cichocki, A. K. Barros, 2002, SBRN.

Equivariant Nonstationary Source Separation

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2002 .

Extraction of Specific Signals with Temporal Structure

Allan Kardec Barros, Andrzej Cichocki, A. K. Barros, 2001, Neural Computation.

Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 2001, IWANN.

The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2001, IWANN.

Novel blind source separation algorithms using cumulants

Sergio Cruces, Andrzej Cichocki, Luis Castedo, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Local stability analysis of flexible independent component analysis algorithm

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Extraction of statistically dependent sources with temporal structure

Allan Kardec Barros, Andrzej Cichocki, Noboru Ohnishi, 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

Enhancement of a Speech Signal Embedded in Noisy Environment Using Two Microphones

Allan Kardec Barros, Hideki Kawahara, Noboru Ohnishi, 2000 .

Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment

Andrzej Cichocki, Seungjin Choi, A. Cichocki, 1999, Journal of Communications and Networks.

A fixed-point algorithm for independent component analysis which uses a priori information

Allan Kardec Barros, Andrzej Cichocki, A. K. Barros, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Blind Separation of Filtered Sources Using State-Space Approach

Liqing Zhang, Andrzej Cichocki, A. Cichocki, 1998, NIPS.

Bias removal technique for blind source separation with noisy measurements

Andrzej Cichocki, Scott C. Douglas, S. Amari, 1998 .

Blind Identification and Separation of Noisy Source Signals : Neural Network Approaches

Andrzej Cichocki, A. Cichocki, 1998 .

A Bias Removal Technique for Blind Source Separation With

S. Douglas, A. Cichocki, 1998 .

Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain–Computer Interface

Xingyu Wang, Andrzej Cichocki, Jing Jin, 2019, Front. Comput. Neurosci..

Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback

Rui Zhang, Jun Xiao, Yuanqing Li, 2015, IEEE Transactions on Biomedical Engineering.

Claudio Babiloni, Mark Hallett, Erol Başar, 2020, Clinical Neurophysiology.

Automated Multi-Stage Compression of Neural Networks

Andrzej Cichocki, Ivan V. Oseledets, Evgeny Ponomarev, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Realization of arbitrary linear resistive multiports using a switched-capacitor technique

A. Cichocki, R. Unbehauen, F. Strauss, 1986 .

SPEECH EXTRACTION BASED UPON A COMBINED SUBBAND INDEPENDENT COMPONENT ANALYSIS AND NEURAL MEMORY

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2003 .

Rates of convergence of the recursive radial basis function networks

Adam Krzyzak, Andrzej Cichocki, Janusz Mazurek, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2007, Int. J. Neural Syst..

Multikernel Capsule Network for Schizophrenia Identification

Andrzej Cichocki, Anastasios Bezerianos, Junhua Li, 2019, IEEE Transactions on Cybernetics.

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics

Andrzej Cichocki, Evgeny Burnaev, Alexander Bernstein, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence

Andrzej Cichocki, Abhijit Mandal, A. Cichocki, 2013, Entropy.

A sinusoidal frequency multiplying and dividing technique

A. Cichocki, 1983 .

Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study

Andrzej Cichocki, Fabien Lotte, Junhua Li, 2018, 2018 International Conference on Cyberworlds (CW).

Deep Learning in EEG: Advance of the Last Ten-Year Critical Period

A. Cichocki, Junhua Li, Shuxiao Gong, 2020, IEEE Transactions on Cognitive and Developmental Systems.

Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm

Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Minor Component Analysis Algorithm

Fa-Long Luo, Andrzej Cichocki, Rolf Unbehauen, 1997, Neural Networks.

Hidden image separation from incomplete image mixtures by independent component analysis

Andrzej Cichocki, Wlodzimierz Kasprzak, A. Cichocki, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Adaptive learning algorithm for principal component analysis with partial data

Andrzej Cichocki, Władysław Skarbek, Włodzimierz Kasprzak, 1996 .

Hierarchical Neural Network for Robust PCA Computation of Complex Valued Signals

A. Cichocki, R. Bogner, 1996 .

Principal Subspace Analysis for Incomplete Image Data in One Learning Epoch Is Maximum over the Unit Sphere S N R N : (1)

A. Cichocki, 1996 .

A new perspective of noise removal from EEG

Nitish V. Thakor, Chao Li, Andrzej Cichocki, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

Andrzej Cichocki, Danilo P. Mandic, Yu Zhang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

MULTISCALE ENTROPY ANALYSIS OF EEG FROM PATIENTS UNDER DIFFERENT PATHOLOGICAL CONDITIONS

Soo Yong Kim, Andrzej Cichocki, Jeong-Hyeon Park, 2007 .

The Uncinate Fasciculus as a Predictor of Conversion from aMCI to Alzheimer Disease

Andrzej Cichocki, Toshiya Murai, Chihiro Namiki, 2018 .

The Uncinate Fasciculus as a Predictor of Conversion from Amnestic Mild Cognitive Impairment to Alzheimer Disease

Hidenao Fukuyama, Andrzej Cichocki, Toshiya Murai, 2015, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

Blind source separation with convolutive noise cancellation

Andrzej Cichocki, Shun-ichi Amari, Wlodzimierz Kasprzak, 1997, Neural Computing & Applications.

Self-whitening algorithms for adaptive equalization and deconvolution

Andrzej Cichocki, Shun-ichi Amari, Scott C. Douglas, 1999, IEEE Trans. Signal Process..

Linear Least Least Simplified Neural Networks for Solving Squares Problems in Real Time Squares and Total

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1994 .

Blind signal extraction using self-adaptive nonlinear Hebbian learning rule

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1996 .

Efficient method for Tucker3 model selection

Andrzej Cichocki, Zhuohui He, S. Xie, 2009 .

Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction

Andrzej Cichocki, Klaus Weinzierl, Rolf Unbehauen, 1995, Neurocomputing.

Synthesis and Design of SC Filters

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1989 .

A dual-linear predictor approach to blind source extraction for noisy mixtures

Wei Liu, D.P. Mandic, A. Cichocki, 2008, 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop.

Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization

Andrzej Cichocki, Danilo P. Mandic, Wei Liu, 2008, 2008 Congress on Image and Signal Processing.

A class of novel blind source extraction algorithms based on a linear predictor

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing

Laura Astolfi, Febo Cincotti, Fabio Babiloni, 2011, Comput. Intell. Neurosci..

Convergence Analysis of Local Algorithms for Blind Decorrelation

Andrzej Cichocki, Scott C. Douglas, S. Douglas, 1996, NIPS 1996.

Tensor-variate Gaussian processes regression and its application to video surveillance

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

Xingyu Wang, Andrzej Cichocki, Guoxu Zhou, 2015, Journal of Neuroscience Methods.

Fast Multi-command SSVEP Brain Machine Interface without Training

Andrzej Cichocki, Hovagim Bakardjian, Montserrat Vallverdú, 2008, ICANN.

EEG auditory steady state responses classification for the novel BCI

Toshihisa Tanaka, Andrzej Cichocki, Tomasz M. Rutkowski, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Threshold electrodisintegration of 3He

A. Cichocki, X. Jiang, B. Asavapibhop, 2003, nucl-ex/0303003.

Elastic magnetic electron scattering from Ca-41

A. Cichocki, H. Baghaei, S. Rokni, 1990 .

Neural Networks for Solving Linear Inequality Systems

A. Cichocki, A. Bargiela, A. Cichocki, 1997, Parallel Comput..

Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals

Andrzej Cichocki, Justin Dauwels, Jordi Solé-Casals, 2009, BMC Neuroscience.

Early Alzheimer's Disease Progression Detection using Multi-subnetworks of the Brain

Andrzej Cichocki, François-Benoît Vialatte, Kazuko Hiyoshi, 2012, IJCCI.

Tensor Ring Decomposition pdf

Liqing Zhang, Andrzej Cichocki, Shengli Xie, 2016, ArXiv.

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

Andrzej Cichocki, Deyu Meng, Zongben Xu, 2015, IEEE Transactions on Image Processing.

Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison

Sergio Cruces, Andrzej Cichocki, Rubén Martín-Clemente, 2018, Entropy.

Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Tongue-Rudder: A Glossokinetic-Potential-Based Tongue–Machine Interface

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2012, IEEE Transactions on Biomedical Engineering.

Sparse factorization preprocessing-based offline analysis for a cursor control experiment

Yuanqing Li, Cuntai Guan, Andrzej Cichocki, 2004, IEEE International Workshop on Biomedical Circuits and Systems, 2004..

Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI

Xingyu Wang, Brendan Z. Allison, Andrzej Cichocki, 2016, Front. Comput. Neurosci..

Blind signal extraction of signals with specified frequency band

Andrzej Cichocki, Tomasz M. Rutkowski, K. Siwek, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Dynamic theta/beta ratio of clinical EEG in Alzheimer's disease

A. Cichocki, Z. Struzik, Yuji Takahara, 2021, Journal of Neuroscience Methods.

Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel

Alice D. Lam, A. Cichocki, M. Carrillo, 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

A hybrid feature selection approach for the early diagnosis of Alzheimer’s disease

Andrzej Cichocki, Justin Dauwels, Jordi Solé-Casals, 2015, Journal of neural engineering.

Multiway array decomposition analysis of EEGs in Alzheimer's disease

Andrzej Cichocki, Jordi Solé-Casals, Monique Maurice, 2012, Journal of Neuroscience Methods.

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands

Andrzej Cichocki, Justin Dauwels, Jaeseung Jeong, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?

Andrzej Cichocki, François-Benoît Vialatte, Justin Dauwels, 2011, International journal of Alzheimer's disease.

Sparse Bump Modeling of mildAD Patients - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer's Disease

Andrzej Cichocki, François-Benoît Vialatte, Sunil Wimalaratna, 2018, BIOSIGNALS.

Quantifying EEG synchrony using copulas

Pramod K. Varshney, Andrzej Cichocki, Justin Dauwels, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG

Andrzej Cichocki, François-Benoît Vialatte, Justin Dauwels, 2010, NeuroImage.

EEG synchrony analysis for early diagnosis of Alzheimer's disease: A study with several synchrony measures and EEG data sets

Andrzej Cichocki, Justin Dauwels, Jaeseung Jeong, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Quantifying Statistical Interdependence by Message Passing on Graphs—Part II: Multidimensional Point Processes

Andrzej Cichocki, Justin Dauwels, Toshimitsu Musha, 2009, Neural Computation.

Measuring Neural Synchrony by Message Passing

Andrzej Cichocki, Justin Dauwels, Tomasz M. Rutkowski, 2007, NIPS.

A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on Eeg

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2009 .

Blind Source Separation and Sparse Bump Modelling of Time Frequency Representation of Eeg Signals: New Tools for Early Detection of Alzheimer's Disease

R. Gervais, Tomasz M. Rutkowski, G. Dreyfus, 2022 .

Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals

Andrzej Cichocki, Gérard Dreyfus, Rémi Gervais, 2005, ICANN.

MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP 2005) BLIND SOURCE SEPARATION AND SPARSE BUMP MODELLING OF TIME FREQUENCY REPRESENTATION OF EEG SIGNALS: NEW TOOLS FOR EARLY DETECTION OF ALZHEIMER'S DISEASE

Andrzej Cichocki, Tomasz M. Rutkowski, Gerard Dreyfus, 2005 .

Early Detection of Alzheimer's Disease by Blind Source Separation and Bump Modeling of EEG Signals.

Andrzej Cichocki, François Vialatte, Gerard Dreyfus, 2005 .

Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease

Andrzej Cichocki, Justin Dauwels, Jaeseung Jeong, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Kurtosis-Based Blind Source Extraction of Complex Non-Circular Signals with Application in EEG Artifact Removal in Real-Time

Danilo P. Mandic, Soroush Javidi, Andrzej Cichocki, 2011, Front. Neurosci..

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

Andrzej Cichocki, Fabien Lotte, Léa Pillette, 2021, Sensors.

ADAPTIVE NOISE CANCELLATION FOR MULTI-SENSORY SIGNALS

Andrzej Cichocki, Sergiy A. Vorobyov, Yevgeniy Bodyanskiy, 2001 .

Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning

Andrzej Cichocki, A. Cichocki, 2018, Advances in Data Analysis with Computational Intelligence Methods.

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

M Congedo, F Lotte, L Bougrain, 2018, Journal of neural engineering.

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

Andrzej Cichocki, François B. Vialatte, A. Cichocki, 2006, ICONIP.

Sequential Blind Signal Extraction

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2002 .

EEG Classification of Mild and Severe Alzheimer's Disease Using Parallel Factor Analysis Method

Andrzej Cichocki, Jaeseung Jeong, François B. Vialatte, 2008, World Congress on Engineering.

Nonnegative Tensor Factorization for Continuous EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2007, Int. J. Neural Syst..

Nonlinear interference cancelation using neural networks

Andrzej Cichocki, Sergiy A. Vorobyov, Tomasz M. Rutkowski, 1999 .

Noise reduction in brain evoked potentials based on third-order correlations

Andrzej Cichocki, Reda R. Gharieb, A. Cichocki, 2001, IEEE Transactions on Biomedical Engineering.

Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA

Andrzej Cichocki, Qianqian Liu, Yong Jiao, 2020, Neurocomputing.

Correlation-based channel selection and regularized feature optimization for MI-based BCI

Andrzej Cichocki, Dewen Hu, Ian Daly, 2019, Neural Networks.

A. Cichocki, Xingyu Wang, Jing Jin, 2021, IEEE Transactions on Neural Networks and Learning Systems.

The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain–Computer Interface

Andrzej Cichocki, Ian Daly, Chang Liu, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Whether generic model works for rapid ERP-based BCI calibration

Andrzej Cichocki, Yu Zhang, Ian Daly, 2013, Journal of Neuroscience Methods.

Nonnegative matrix factorization with quadratic programming

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2008, Neurocomputing.

Analysis of financial data using non-negative matrix factorisation

Andrzej Cichocki, Ruairí de Fréin, Konstantinos Drakakis, 2008 .

Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2010, Entropy.

GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2014, IEEE Transactions on Biomedical Engineering.

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

Andrzej Cichocki, Yifei Lu, Bao-Liang Lu, 2019, IEEE Transactions on Cybernetics.

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2014, IEEE Transactions on Image Processing.

Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neurocomputing.

Nonnegative Tucker decomposition with alpha-divergence

Andrzej Cichocki, Seungjin Choi, Yong-Deok Kim, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Non-orthogonal tensor diagonalization

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, Signal Process..

Detecting the Number of Clusters in n-Way Probabilistic Clustering

Kyuwan Choi, Zhaoshui He, Andrzej Cichocki, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition

Andrzej Cichocki, Danilo P. Mandic, Ivan Oseledets, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient

Andrzej Cichocki, Qibin Zhao, Yu Zhang, 2014, ISNN.

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2014, Int. J. Neural Syst..

Unsupervised Learning Algorithms and Latent Variable Models: PCA/SVD, CCA/PLS, ICA, NMF, etc.

A. Cichocki, 2014 .

Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles

Andrzej Cichocki, Ivica Kopriva, Ante Jukic, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, IEEE Transactions on Signal Processing.

A greedy algorithm for model selection of tensor decompositions

Andrzej Cichocki, Austin J. Brockmeier, José Carlos Príncipe, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation

Andrzej Cichocki, Guoxu Zhou, A. Cichocki, 2012, IEEE Signal Processing Letters.

Blind multispectral image decomposition by 3D nonnegative tensor factorization.

Andrzej Cichocki, Ivica Kopriva, A. Cichocki, 2009, Optics letters.

Fast nonnegative tensor factorization for very large-scale problems using two-stage procedure

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound

Andrzej Cichocki, Anh-Huy Phan, Petr Tichavský, 2019, IEEE Transactions on Signal Processing.

Error Preserving Correction for CPD and Bounded-Norm CPD pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, ArXiv.

Nonnegative DEDICOM Based On Tensor Decompositions for Social Networks Exploration

Andrzej Cichocki, Thanh Vu Dinh, Anh Huy Andrzej, 2010, Aust. J. Intell. Inf. Process. Syst..

Tensor Decompositions for Very Large Scale Problems

A. Cichocki, A. Phan, Andrzej CICHOCKI, 2010 .

Neural networks for solving systems of linear equations. II. Minimax and least absolute value problems

R. Unbehauen, A. Cichocki, A. Cichocki, 1992 .

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2014, Int. J. Neural Syst..

Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection

A. Cichocki, A. Phan, C. Caiafa, 2023, 2305.00749.

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD) pdf

Toshihisa Tanaka, Anh Huy Phan, Andrzej Cichocki, 2020, IEEE Access.

Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections

Andrzej Cichocki, Cesar F. Caiafa, A. Cichocki, 2014, IEEE Transactions on Signal Processing.

Multilinear tensor rank estimation via Sparse Tucker Decomposition

Andrzej Cichocki, Tatsuya Yokota, A. Cichocki, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Multidimensional compressed sensing and their applications

Andrzej Cichocki, Cesar F. Caiafa, A. Cichocki, 2013, WIREs Data Mining Knowl. Discov..

Simplified neural networks for solving linear least squares and total least squares problems in real time

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1994, IEEE Trans. Neural Networks.

Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms

Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, 2011, Comput. Hum. Behav..

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2010, J. Circuits Syst. Comput..

Spatial Auditory BCI/BMI Paradigm - Multichannel EMD Approach to Brain Responses Estimation

Andrzej Cichocki, Toshihisa Tanaka, A. Cichocki, 2010 .

Multichannel spectral pattern separation - An EEG processing application -

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2008, ICONIP.

Extended SMART Algorithms for Non-negative Matrix Factorization

Zhaoshui He, Andrzej Cichocki, Shun-ichi Amari, 2006, ICAISC.

Non-negative Matrix Factorization with Quasi-Newton Optimization

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2006, ICAISC.

Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis

Andrzej Cichocki, Shun-ichi Amari, Kimitaka Anami, 2006, IEEE Transactions on Biomedical Engineering.

Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2006, IEEE Transactions on Neural Networks.

Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis

Andrzej Cichocki, Sergiy A. Vorobyov, A. Cichocki, 2002, Biological Cybernetics.

Kernel nonnegative matrix factorization for spectral EEG feature extraction

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2009, Neurocomputing.

Blind source estimation of FIR channels for binary sources: a grouping decision approach

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2004, Signal Process..

Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, SIAM J. Matrix Anal. Appl..

An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions

Xingyu Wang, Brendan Z. Allison, Andrzej Cichocki, 2014, Int. J. Neural Syst..

EEG Correlates of Voice and Face Emotional Judgments in the Human Brain

Andrzej Cichocki, Tatsuya Yokota, Hovagim Bakardjian, 2015, Cognitive Computation.

Differences of Functional Connectivity Brain Network in Emotional Judgment

Andrzej Cichocki, François-Benoît Vialatte, Jordi Solé i Casals, 2013, BIOSIGNALS.

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network

Andrzej Cichocki, Ivan Oseledets, Konstantin Sozykin, 2020, ECCV.

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization

A. Cichocki, Jun Wang, Hangjun Che, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion pdf

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2015, ArXiv.

Individual Classification of Emotions Using EEG

Andrzej Cichocki, Stefano Valenzi, Tanvir Islam, 2014 .

Learning in dynamic neural networks using signal flow graphs

Stanislaw Osowski, Andrzej Cichocki, A. Cichocki, 1999, International journal of circuit theory and applications.

Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2008, Comput. Intell. Neurosci..

Appllication of switched-capacitor self-oscillating circuits to the conversion of RLC parameters into a frequency or digital signal

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1990 .

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

On Neural Blind Separation with Noise Suppression and Redundancy Reduction

Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, 1997, Int. J. Neural Syst..

Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 1999, NIPS.

Tensor completion throughmultiple Kronecker product decomposition

Andrzej Cichocki, Austin J. Brockmeier, Anh Huy Phan, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Medical Image De-noising Using Deep Networks

Andrzej Cichocki, Maame G. Asante-Mensah, A. Cichocki, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions pdf

Andrzej Cichocki, A. Cichocki, 2014, ArXiv.

A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2017, ICONIP.

Learning Efficient Tensor Representations with Ring-structured Networks

Masashi Sugiyama, Andrzej Cichocki, Qibin Zhao, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals

Andrzej Cichocki, Fabien Lotte, Aurelien Appriou, 2020, IEEE Systems, Man, and Cybernetics Magazine.

Signal Modality Characterisation of EEG with Response to Steady-State Auditory and Visual BCI Paradigms

A. Cichocki, Mo Chen, D.P. Mandic, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Incremental Common Spatial Pattern algorithm for BCI

Jie Li, Liqing Zhang, Andrzej Cichocki, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Novel Features for Brain-Computer Interfaces

Andrzej Cichocki, Wei Lee Woon, A. Cichocki, 2007, Comput. Intell. Neurosci..

Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification

Tzyy-Ping Jung, Andrzej Cichocki, Ian Daly, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2008, Computer.

Optimized Motor Imagery Paradigm Based on Imagining Chinese Characters Writing Movement

Xingyu Wang, Brendan Z. Allison, Andrzej Cichocki, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices

Andrzej Cichocki, Petr Tichavský, Konstantin Sozykin, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Best Rank-One Tensor Approximation and Parallel Update Algorithm for CPD pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, ArXiv.

Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, IEEE Signal Processing Letters.

Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2012, ArXiv.

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neural Computing and Applications.

Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

PARAFAC algorithms for large-scale problems

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2011, Neurocomputing.

Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2010, ICONIP.

A new nonlinear similarity measure for multichannel signals

Andrzej Cichocki, José Carlos Príncipe, Jian-Wu Xu, 2008, Neural Networks.

A New Nonlinear Similarity Measure for Multichannel Biological Signals

Andrzej Cichocki, José Carlos Príncipe, Jian-Wu Xu, 2007, 2007 International Joint Conference on Neural Networks.

An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2008, ICONIP.

Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals

Andrzej Cichocki, Tomasz M. Rutkowski, Jordi Solé i Casals, 2018, IJCCI.

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

Yu Zhang, Xingyu Wang, Andrzej Cichocki, 2018, Expert Syst. Appl..

Tensor Networks Meet Neural Networks: A Survey and Future Perspectives

A. Cichocki, Zenglin Xu, Y. Pan, 2023, 2302.09019.

How to Train Unstable Looped Tensor Network

A. Cichocki, P. Tichavský, A. Phan, 2022, ArXiv.

Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction

Qiquan Shi, Andrzej Cichocki, Tatsuya Yokota, 2020, IEEE Signal Processing Letters.

MERACLE: Constructive Layer-Wise Conversion of a Tensor Train into a MERA pdf

Ngai Wong, Andrzej Cichocki, Kim Batselier, 2019, Communications on Applied Mathematics and Computation.

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data

Andrzej Cichocki, Shengli Xie, Tülay Adali, 2015, Proceedings of the IEEE.

Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition

A. Cichocki, D. Mandic, A. Phan, 2017, Neural Computing and Applications.

Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI

Andrzej Cichocki, Ian Daly, Jing Jin, 2021, Int. J. Neural Syst..

Exploration of electroencephalogram response to MPH treatment in ADHD patients

A. Cichocki, S. Ueda, T. Kishimoto, 2023, Psychiatry Research: Neuroimaging.

Semi-Automated Biomarker Discovery from Pharmacodynamic Effects on EEG in ADHD Rodent Models

A. Cichocki, Z. Struzik, Yuji Takahara, 2018, Scientific Reports.

A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2015, Int. J. Neural Syst..

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2011, IEEE Transactions on Neural Networks.

Tensor Deflation for CANDECOMP/PARAFAC— Part I: Alternating Subspace Update Algorithm

Andrzej Cichocki, Petr Tichavsky, Anh-Huy Phan, 2015, IEEE Transactions on Signal Processing.

Algorithms with high order convergence speed for blind source extraction

Panos M. Pardalos, Andrzej Cichocki, Pando G. Georgiev, 2007, Comput. Optim. Appl..

On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics

Andrzej Cichocki, Ruck Thawonmas, A. Cichocki, 2000, Neural Processing Letters.

Blind source separation via symmetric eigenvalue decomposition

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

SPEECH ENHANCEMENT FROM INTERFERING SOUNDS USING CASA TECHNIQUES AND BLIND SOURCE SEPARATION

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2001 .

A blind extraction of temporally correlated but statistically dependent acoustic signals

Allan Kardec Barros, Sang-Hoon Oh, Tomasz M. Rutkowski, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

SPEECH EXTRACTION FROM INTERFERENCES IN REAL ENVIRONMENT USING BANK OF FILTERS AND BLIND SOURCE SEPARATION

Allan Kardec Barros, Tomasz M. Rutkowski, Andrzej Cichocki, 2000 .

Blind source extraction in Gaussian noise

Sergio Cruces, Andrzej Cichocki, Luis Castedo, 2000 .

Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Signals : A Neural Network Approach (Special Section on Nonlinear Theory and Its Applications)

Ruck Thawonmas, Andrzej Cichocki, A. Cichocki, 1999 .

Robust batch algorithm for sequential blind extraction of noisy biomedical signals

Allan Kardec Barros, Andrzej Cichocki, A. K. Barros, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Dual cascade networks for blind signal extraction

Shun-ichi Amari, Andrzej Cichocki, Ruck Thawonmas, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Blind extraction of source signals with specified stochastic features

Andrzej Cichocki, Ruck Thawonmas, A. Cichocki, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Sparse Group Representation Model for Motor Imagery EEG Classification

Yu Zhang, Xun Chen, Andrzej Cichocki, 2019, IEEE Journal of Biomedical and Health Informatics.

A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition

Andrzej Cichocki, Luke Oeding, Xiaoping P. Hu, 2017, Front. Neurosci..

Tensor Decompositions: A New Concept in Brain Data Analysis? pdf

Andrzej Cichocki, A. Cichocki, 2013, ArXiv.

Analysis and Online Realization of the CCA Approach for Blind Source Separation

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2007, IEEE Transactions on Neural Networks.

Linked Tucker2 Decomposition for Flexible Multi-block Data Analysis

Andrzej Cichocki, Tatsuya Yokota, A. Cichocki, 2014, ICONIP.

Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis

Yukihiko Yamashita, Andrzej Cichocki, Tatsuya Yokota, 2012, ICONIP.

Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance

Andrzej Cichocki, Jing Jin, Yangyang Miao, 2021, Comput. Intell. Neurosci..

Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs

Xingyu Wang, Long Chen, Andrzej Cichocki, 2016, Front. Comput. Neurosci..

Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Split-test Bonferroni correction for QEEG statistical maps

Andrzej Cichocki, François B. Vialatte, A. Cichocki, 2008, Biological Cybernetics.

A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features

Andrzej Cichocki, Jianting Cao, Jianhai Zhang, 2019, Sensors.

Multi-view optimization of time-frequency common spatial patterns for brain-computer interfaces

A. Cichocki, Jing Jin, Ren Xu, 2021, Journal of Neuroscience Methods.

EEG-based asynchronous BCI control of a car in 3D virtual reality environments

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2009 .

Combining the extremities on the basis of separation: a new approach to EEG/ERP source localization

Andrzej Cichocki, Hovagim Bakardjian, Alexander Ya. Kaplan, 2005 .

Single-Trail EEG Processing for Brain Computer Interface

Tohru Yagi, Andrzej Cichocki, Motoaki Mouri, 2007 .

Removal of ocular artifacts for high resolution EEG studies: a simulation study

F. Babiloni, F. Cincotti, M. Mattiocco, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Single trial method for Brain-Computer Interface

A. Funase, I. Takumi, A. Cichocki, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

EEG Changes after Bhramari Pranayama

A. Cichocki, F. Vialatte, Prasad Rajkishor, 2006 .

Segmentation and tracking of the electro-encephalogram signal using an adaptive recursive bandpass filter

A. Cichocki, R. R. Gharieb, A. Cichocki, 2001, Medical and Biological Engineering and Computing.

Independent Component Analysis and Evolving Fuzzy Neural Networks for the Classification of Single Trial EEG Data

A. Cichocki, N. Kasabov, Carl Leichter, 2001 .

Optimization Algorithms for Sparse Representations and Applications

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2006 .

Sparse Component Analysis: a New Tool for Data Mining

Fabian J. Theis, Andrzej Cichocki, Hovagim Bakardjian, 2004 .

Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications

Andrzej Cichocki, Shun-ichi Amari, S. Amari, 2002 .

Tensor classification for P300-based brain computer interface

Andrzej Cichocki, Anh Huy Phan, Kiyotoshi Matsuoka, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network

Ju Liu, Andrzej Cichocki, Jiande Sun, 2018, IEEE Access.

Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

Xingyu Wang, Andrzej Cichocki, Dean J. Krusienski, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Iterative Projection Approximation Algorithms for PCA

Andrzej Cichocki, Jong-Hoon Ahn, Seungjin Choi, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection

Tapani Ristaniemi, Fengyu Cong, Zhaoshui He, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Data augmentation for Convolutional LSTM based brain computer interface system

A. Cichocki, Qibin Zhao, A. Phan, 2022, Appl. Soft Comput..

An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System

Xingyu Wang, Yugang Niu, Andrzej Cichocki, 2019, Comput. Intell. Neurosci..

Towards correlation-based time window selection method for motor imagery BCIs

Xingyu Wang, Rami Saab, Andrzej Cichocki, 2018, Neural Networks.

Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements

Sergio Cruces, Andrzej Cichocki, Javier Olias, 2017, Entropy.

Improved SFFS method for channel selection in motor imagery based BCI

Xingyu Wang, Hak-Keung Lam, Andrzej Cichocki, 2016, Neurocomputing.

From basis components to complex structural patterns

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A treatment of EEG data by underdetermined blind source separation for motor imagery classification

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Speech comprehension assessed by electroencephalography with m-sequence technique

Andrzej Cichocki, Ayumu Matani, Sachiko Koyama, 2007 .

Emotional faces boost up steady-state visual responsesforbrain–computer interface

Andrzej Cichocki, Hovagim Bakardjian, Toshihisa Tanaka, 2011, Neuroreport.

Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection

A. Cichocki, A. Phan, C. Caiafa, 2023, ArXiv.

Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2014, WIREs Data Mining Knowl. Discov..

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach

Tonio Ball, Liqing Zhang, Andrzej Cichocki, 2011, NIPS.

Common and Individual Features Analysis: Beyond Canonical Correlation Analysis pdf

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, ArXiv.

BRAIN CONTROL OF ROBOTIC ARM USING AFFECTIVE STEADY-STATE VISUAL EVOKED POTENTIALS

Andrzej Cichocki, Hovagim Bakardjian, Toshihisa Tanaka, 2010 .

Extracting Information from Cortical Connectivity Patterns Estimated from High Resolution EEG Recordings: A Theoretical Graph Approach

Laura Astolfi, Febo Cincotti, Maria Grazia Marciani, 2007, Brain Topography.

Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG

Toshihisa Tanaka, Andrzej Cichocki, Md. Rabiul Islam, 2020, bioRxiv.

Nonnegative matrix factorization with constrained second-order optimization

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2007, Signal Process..

On the synchrony of empirical mode decompositions with application to electroencephalography

Andrzej Cichocki, Justin Dauwels, Tomasz M. Rutkowski, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine

Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz, 2007, ICANNGA.

Under-Determined tensor diagonalization for decomposition of difficult tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Non-negative matrix factorization with alpha-divergence

Andrzej Cichocki, Hyekyoung Lee, Seungjin Choi, 2008, Pattern Recognit. Lett..

New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation

Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition

Feiping Nie, Andrzej Cichocki, Yong Peng, 2022, IEEE Transactions on Cognitive and Developmental Systems.

Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition

A. Cichocki, F. Nie, Bao-Liang Lu, 2023, IEEE Transactions on Industrial Informatics.

Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals

A. Cichocki, F. Nie, Bao-Liang Lu, 2022, IEEE Transactions on Affective Computing.

Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation

Yong Peng, Jianhai Zhang, Andrzej Cichocki, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Combining behavior and EEG analysis for exploration of dynamic effects of ADHD treatment in animal models

Koichi Ogawa, Andrzej Cichocki, Junhua Li, 2018, Journal of Neuroscience Methods.

Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2018, Biomedizinische Technik. Biomedical engineering.

Continuous use of ERP-based BCIs with different visual angles in ALS patients pdf

Xingyu Wang, Yi Dong, Brendan Z. Allison, 2017, ArXiv.

Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior" pdf

Hidekata Hontani, Andrzej Cichocki, Qibin Zhao, 2019, ArXiv.

Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs

Xingyu Wang, Andrzej Cichocki, Qibin Zhao, 2011, ICONIP.

Non-Negative Matrix Factorization

Andrzej Cichocki, 安川博, 内匠逸, 2020 .

Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition

Liqing Zhang, Andrzej Cichocki, Qiang Wu, 2014, Neurocomputing.

Canonical Polyadic Decomposition: From 3-way to N-Way

Zhaoshui He, Andrzej Cichocki, Qibin Zhao, 2012, 2012 Eighth International Conference on Computational Intelligence and Security.

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

A. Cichocki, A. Phan, 2012, Neural Computing and Applications.

Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

On Multiple Intelligences and Learning Styles for Multi- Agent Systems: Future Research Trends in AI with a Human Face?

Andrzej Cichocki, A. Cichocki, 2020 .

On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face?

A. Cichocki, 2020, ArXiv.

Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG

Andrzej Cichocki, Junhua Li, A. Cichocki, 2014, ICONIP.

Gamma-band activity; role of music perception in the brain in relation to consciousness and cognition

A. Cichocki, Y. Washizawa, Y. Urakami, 2013 .

OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition

A. Cichocki, F. Nie, Bao-Liang Lu, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition

A. Cichocki, F. Nie, Bao-Liang Lu, 2022, IEEE Transactions on Instrumentation and Measurement.

Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

Ian Daly, Andrzej Cichocki, Jing Jin, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Bimodal BCI Using Simultaneously NIRS and EEG

Andrzej Cichocki, Yasue Mitsukura, François-Benoît Vialatte, 2014, IEEE Transactions on Biomedical Engineering.

Very Large-Scale Singular Value Decomposition Using Tensor Train Networks

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ArXiv.

Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems pdf

Andrzej Cichocki, A. Cichocki, 2014, ArXiv.

Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2008, IEEE Transactions on Signal Processing.

Spectral Power Estimation for Unevenly Spaced Motor Imagery Data

Liqing Zhang, Andrzej Cichocki, Junhua Li, 2013, ICONIP.

Evaluation of color modulation in visual P300-speller using new stimulus patterns

Andrzej Cichocki, Jing Jin, Xingyu Wang, 2021, Cognitive Neurodynamics.

Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm

Andrzej Cichocki, Pablo Martinez, Hovagim Bakardjian, 2007, Comput. Intell. Neurosci..

Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

Andrzej Cichocki, Shengli Xie, Qibin Zhao, 2014, IEEE Signal Processing Magazine.

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach

A. Cichocki, Qibin Zhao, C. Caiafa, 2018, Cognitive Computation.

An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps

A. Cichocki, Xingyu Wang, Jing Jin, 2016, Cognitive Neurodynamics.

Motor Imagery EEG Classification Based on Riemannian Sparse Optimization and Dempster-Shafer Fusion of Multi-Time-Frequency Patterns

A. Cichocki, Xingyu Wang, Jing Jin, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Improved FOCUSS Method With Conjugate Gradient Iterations

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2009, IEEE Transactions on Signal Processing.

A Unifying Approach to the Derivation of the Class of PNLMS Algorithms

Andrzej Cichocki, Danilo P. Mandic, Beth Jelfs, 2007, 2007 15th International Conference on Digital Signal Processing.

Distinguishable spatial-spectral feature learning neural network framework for motor imagery-based brain–computer interface

A. Cichocki, Xingyu Wang, Jing Jin, 2021, Journal of neural engineering.

Canonical Polyadic Decomposition With Auxiliary Information for Brain–Computer Interface

Chao Li, Andrzej Cichocki, Junhua Li, 2014, IEEE Journal of Biomedical and Health Informatics.

Feature learning from incomplete EEG with denoising autoencoder pdf

Liqing Zhang, Andrzej Cichocki, Junhua Li, 2014, Neurocomputing.

A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli

Liqing Zhang, Andrzej Cichocki, Jianting Cao, 2011, ICONIP.

An Affective BCI Using Multiple ERP Components Associated to Facial Emotion Processing

Yu Zhang, Andrzej Cichocki, Qibin Zhao, 2013 .

Improved Sparse Bump Modeling for Electrophysiological Data

Andrzej Cichocki, Justin Dauwels, Jordi Solé i Casals, 2008, ICONIP.

Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz)

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2008, ICONIP.

Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks

Tzyy-Ping Jung, Liqing Zhang, Yijun Wang, 2016, IEEE Transactions on Cognitive and Developmental Systems.

Using Reinforcement Learning in the Algorithmic Trading Problem pdf

Andrzej Cichocki, Ivan Oseledets, Evgeny Ponomarev, 2019, Journal of Communications Technology and Electronics.

First beam-target double-polarization measurements using polarized HD at legs

A. Cichocki, A. Kuczewski, A. Lehmann, 2003 .

Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions

Andrzej Cichocki, Petr Tichavský, Anh-Huy Phan, 2021, IEEE Journal of Selected Topics in Signal Processing.

Numerical CP decomposition of some difficult tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, J. Comput. Appl. Math..

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications

Fabio Babiloni, Shangkai Gao, Andrzej Cichocki, 2007, Comput. Intell. Neurosci..

Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy

Hualiang Li, Andrzej Cichocki, Tülay Adali, 2007, J. VLSI Signal Process..

Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions pdf

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2015, SIAM J. Matrix Anal. Appl..

On the synchrony of steady state visual evoked potentials and oscillatory burst events

Andrzej Cichocki, Justin Dauwels, Yoko Yamaguchi, 2009, Cognitive Neurodynamics.

Single-class SVM classifier for localization of epileptic focus on the basis of EEG

Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Epileptic seizure characterization by Lyapunov exponent of EEG signal

Stanislaw Osowski, Andrzej Cichocki, Bartosz Swiderski, 2007 .

Spin asymmetries from {sup 16}O({rvec {gamma}},p{pi}{sup {minus}}) near {Delta} resonance energies

A. Cichocki, H. Baghaei, S. Thornton, 1997 .

Underdetermined blind source separation based on sparse representation

Daniel W. C. Ho, Yuanqing Li, Andrzej Cichocki, 2006, IEEE Transactions on Signal Processing.

Predicting traffic speed in urban transportation subnetworks for multiple horizons

Andrzej Cichocki, Muhammad Tayyab Asif, Nikola Mitrovic, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA

Andrzej Cichocki, Sunil Wimalaratna, Jaeseung Jeong, 2009, ICONIP.

Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach

Allan Kardec Barros, Andrzej Cichocki, Danilo P. Mandic, 2006, KES.

Real-Time Wireless Sonification of Brain Signals

Justin Dauwels, Andrzej Cichocki, François Vialatte, 2013 .

On the robustness of EEG tensor completion methods

Feng Duan, Andrzej Cichocki, Cesar F. Caiafa, 2021, Science China Technological Sciences.

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2012, LVA/ICA.

Interpolated Adjoint Method for Neural ODEs pdf

Alexandr Katrutsa, Andrzej Cichocki, Ivan Oseledets, 2020, ArXiv.

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music

Tapani Ristaniemi, Fengyu Cong, Deqing Wang, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression

Brahim Chaib-draa, Andrzej Cichocki, Ming Hou, 2016, AAAI.

Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface

Ju Liu, Andrzej Cichocki, Yu Zhang, 2019, Int. J. Neural Syst..

EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts

Andrzej Cichocki, Jordi Solé-Casals, François-Benoit Vialatte, 2008, Physiological measurement.

Joint Structured Graph Learning and Clustering Based on Concept Factorization

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Efficient Tensor Representations with Ring Structure Networks

A. Cichocki, Masashi Sugiyama, Qibin Zhao, 2017, ICLR.

Comparative study on the classification methods for breast cancer diagnosis

Andrzej Cichocki, Q. Zhao, Y Qiu, 2023, Bulletin of the Polish Academy of Sciences Technical Sciences.

Teacher’s Competences – Prospects for Development and Professional Training

A. Cichocki, E. Jaszczyszyn, 2018 .

Tensor completion via functional smooth component deflation

Andrzej Cichocki, Tatsuya Yokota, A. Cichocki, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces

A. Cichocki, Jing Jin, Ren Xu, 2021, Int. J. Neural Syst..

Block sparse representations of tensors using Kronecker bases

Andrzej Cichocki, Cesar F. Caiafa, A. Cichocki, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

S 3 LRR: A Uniﬁed Model for Joint Discriminative Subspace Identiﬁcation and Semisupervised EEG Emotion Recognition

A. Cichocki, F. Nie, Bao-Liang Lu, 2022 .

Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis

Yukihiko Yamashita, Andrzej Cichocki, Tatsuya Yokota, 2015, Signal Process..

Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation

Danilo P Mandic, Andrzej Cichocki, George Luta, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria

Andrzej Cichocki, Tatsuya Yokota, Namgil Lee, 2017, IEEE Transactions on Signal Processing.

Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering

Fengyu Cong, Andrzej Cichocki, Anh Huy Phan, 2016, ICONIP.

Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, IEEE Transactions on Signal Processing.

B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization

Andrzej Cichocki, Tatsuya Yokota, Rafal Zdunek, 2014, ICAISC.

Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences pdf

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2014, Entropy.

ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection

Andrzej Cichocki, Jordi Solé i Casals, François B. Vialatte, 2010, BIOSIGNALS.

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Decomposition of Big Tensors With Low Multilinear Rank pdf

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2014, ArXiv.

GNMF with Newton-Based Methods

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2013, ICANN.

Emotional empathy transition patterns from human brain responses in interactive communication situations

Toyoaki Nishida, Andrzej Cichocki, Danilo P. Mandic, 2011, AI & SOCIETY.

Reduced-Order Modeling of Deep Neural Networks

A. Cichocki, Talgat Daulbaev, Julia Gusak, 2019, Computational Mathematics and Mathematical Physics.

Computational Intelligence in engineering practice

A. Cichocki, Osowski, B. Sawicki, 2021 .

EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease

A. Cichocki, Zbigniew Leonowicz, T. Musha, 2005, Clinical Neurophysiology.

Improving EEG Decoding via Clustering-Based Multitask Feature Learning pdf

Andrzej Cichocki, Yu Zhang, Guoxu Zhou, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition

Xingyu Wang, Andrzej Cichocki, Yangsong Zhang, 2017, Neurocomputing.

Robust blind source separation and dispersing algorithms

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2013, Int. J. Neural Syst..

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, LVA/ICA.

Blind separation and filtering using state space models

Liqing Zhang, Andrzej Cichocki, Tomasz M. Rutkowski, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation

A. Cichocki, H. Rabbani, F. Sedighin, 2023, ArXiv.

Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

S. Amari, A. Cichocki, R. Zdunek, 2009 .

Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior

Hidekata Hontani, Andrzej Cichocki, Qibin Zhao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Fundamental tensor operations for large-scale data analysis using tensor network formats

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2017, Multidimensional Systems and Signal Processing.

Fundamental tensor operations for large-scale data analysis using tensor network formats

A. Cichocki, Namgil Lee, 2017, Multidimensional systems and signal processing.

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition pdf

Andrzej Cichocki, Danilo P. Mandic, André Uschmajew, 2016, ArXiv.

Rank Splitting for CANDECOMP/PARAFAC

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, LVA/ICA.

Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis

Andrzej Cichocki, Petr Tichavsky, Anh-Huy Phan, 2015, IEEE Transactions on Signal Processing.

Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, ArXiv.

Low rank tensor deconvolution

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements pdf

Andrzej Cichocki, Deyu Meng, Zongben Xu, 2015, ArXiv.

Revising algorithm for nonnegative matrix factorization based on minimizing quasi-L1 norm

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2014, 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS).

Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats pdf

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ArXiv.

Deflation method for CANDECOMP/PARAFAC tensor decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Fast algorithms for orthogonal Tucker decomposition

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2013, AAAI.

Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions

M. Ramasubba Reddy, Andrzej Cichocki, Justin Dauwels, 2013, IEEE Journal of Biomedical and Health Informatics.

Effect of step-by-step estimation technique on uniqueness of solution in nonnegative matrix factorization minimizing quasi-L1 norm

A. Cichocki, H. Yasukawa, I. Takumi, 2012, 2012 IEEE 11th International Conference on Signal Processing.

A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition

Liqing Zhang, Andrzej Cichocki, Qiang Wu, 2011, ICONIP.

Multi-channel EEG compression based on matrix and tensor decompositions

M. Ramasubba Reddy, Andrzej Cichocki, Justin Dauwels, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, LVA/ICA.

Sequential Coordinate-Wise DNMF for Face Recognition

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2010, ICAISC.

Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials

Heikki Lyytinen, Tapani Ristaniemi, Fengyu Cong, 2010, ISNN.

Damped Newton Iterations for Nonnegative Matrix Factorization

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2010, Aust. J. Intell. Inf. Process. Syst..

Analysis of Interactions Among Hidden Components for Tucker Model

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009 .

Usefulness of Quasi-L1 Norm-Based Nonnegative Matrix Factorization Algorithm to Estimate Background Signal using Environmental Electromagnetic Field Measurements at ELF Band

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2016 .

Local Learning Rules for Nonnegative Tucker Decomposition

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, ICONIP.

A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations

Liqing Zhang, Zhaoshui He, Andrzej Cichocki, 2008, Neural Computation.

Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation

Liqing Zhang, Andrzej Cichocki, Anh Huy Phan, 2007, ICONIP.

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2007, ICANNGA.

One time is not enough: iterative tensor decomposition for neural network compression pdf

Andrzej Cichocki, Ivan V. Oseledets, Evgeny Ponomarev, 2019, ArXiv.

Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ISNN.

A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance

Andrzej Cichocki, Jonathon A. Chambers, Wenwu Wang, 2009, IEEE Transactions on Signal Processing.

Generalized optimal spatial filtering using a kernel approach with application to EEG classification

Liqing Zhang, Andrzej Cichocki, Tomasz M. Rutkowski, 2010, Cognitive Neurodynamics.

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining

Feiping Nie, Andrzej Cichocki, Yong Peng, 2021, IEEE Transactions on Instrumentation and Measurement.

Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint

Andrzej Cichocki, Alexander Panchenko, Igor Vorona, 2021, FINDINGS.

Fast cross tensor approximation for image and video completion

Maame G. Asante-Mensah, A. Cichocki, I. Oseledets, 2023, Signal Process..

Bispectrum-based hybrid neural network for motor imagery classification

A. Cichocki, Xingyu Wang, Jing Jin, 2022, Journal of Neuroscience Methods.

Diagnostic and therapeutic guidelines for gastro-entero-pancreatic neuroendocrine neoplasms (recommended by the Polish Network of Neuroendocrine Tumours)

A. Cichocki, M. Krzakowski, A. Szawłowski, 2014 .

Sparse component analysis of overcomplete mixtures by improved basis pursuit method

Andrzej Cichocki, Pando G. Georgiev, A. Cichocki, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Sparse component analysis and blind source separation of underdetermined mixtures

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2005, IEEE Transactions on Neural Networks.

1,161 patients with adrenal incidentalomas: indications for surgery

A. Cichocki, W. Zgliczyński, A. Cichocki, 2008, Langenbeck's Archives of Surgery.

EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease

A. Cichocki, Zbigniew Leonowicz, T. Musha, 2005, Clinical Neurophysiology.

Attention allocation on mobile app interfaces when human interacts with them

A. Cichocki, Junhua Li, Jianhai Zhang, 2021, Cognitive Neurodynamics.

Nonnegative Tensor Factorization for Continuous EEG Classification

A. Cichocki, Hyekyoung Lee, Yong-Deok Kim, 2007, Int. J. Neural Syst..

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface

A. Cichocki, Xingyu Wang, Jing Jin, 2014, Int. J. Neural Syst..

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG

A. Cichocki, T. Musha, J. Dauwels, 2010, NeuroImage.

Multiway array decomposition analysis of EEGs in Alzheimer's disease

A. Cichocki, M. Maurice, Francois-Benois Vialatte, 2012, Journal of Neuroscience Methods.

Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease

Andrzej Cichocki, Tomasz M. Rutkowski, Zhe Chen, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Analyzing Steady State Visual Evoked Potentials Using Blind Source Separation

Andrzej Cichocki, Yoko Yamaguchi, Monique Maurice, 2010 .

Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination

Andrzej Cichocki, Jordi Solé i Casals, Zhe Chen, 2009, BIOSIGNALS.

Bayesian estimation of the number of principal components

Andrzej Cichocki, Abd-Krim Seghouane, A. Cichocki, 2006, 2006 14th European Signal Processing Conference.

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

A. Cichocki, M. Congedo, A. Rakotomamonjy, 2018, Journal of neural engineering.

Split-test Bonferroni correction for QEEG statistical maps

A. Cichocki, F. Vialatte, 2008, Biological Cybernetics.

A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control

A. Cichocki, Yu Zhang, F. Matsuno, 2015, IEEE Transactions on Biomedical Engineering.

Visualization and Sonification of Long-Term Epilepsy Electroencephalogram Monitoring

Chia-Ping Shen, Feipei Lai, Andrzej Cichocki, 2018, Journal of Medical and Biological Engineering.

Image Reconstruction using Superpixel Clustering and Tensor Completion

Maame G. Asante-Mensah, A. Cichocki, A. Phan, 2023, Signal Process..

Neurodynamics of Emotional Judgments in the Human Brain

Andrzej Cichocki, François-Benoît Vialatte, Kazuko Hiyoshi-Taniguchi, 2016, IJCCI.

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?

Andrzej Cichocki, Danilo P. Mandic, Ilia Kisil, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Biomarkers of professional cybersportsmen: Event related potentials and cognitive tests study

A. Cichocki, A. Phan, Andrei Znobishchev, 2023, PloS one.

L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

A. Cichocki, Xingyu Wang, Jing Jin, 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Fast and effective model order selection method to determine the number of sources in a linear transformation model

Tapani Ristaniemi, Fengyu Cong, Zhaoshui He, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

Tomasz M. Rutkowski, A. Cichocki, Liqing Zhang, 2008, Computer.

Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals

Andrzej Cichocki, Fabien Lotte, Aurélien Appriou, 2018, CHI Extended Abstracts.

A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm

A. Cichocki, Xingyu Wang, Jing Jin, 2015, Int. J. Neural Syst..

Extraction of Steady State Visually Evoked Potential Signal and Estimation of Distribution Map from EEG Data

A. Cichocki, T. Tanaka, Y. Yamashita, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2016, Front. Neurosci..

Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2010, Aust. J. Intell. Inf. Process. Syst..

Information theory related learning

Thomas Villmann, Andrzej Cichocki, José Carlos Príncipe, 2011, ESANN.

Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition

Andrzej Cichocki, Petr Tichavsky, A. H. Phan, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis

Andrzej Cichocki, Yoshikazu Washizawa, A. Cichocki, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Beyond ICA: robust sparse signal representations

Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Blind source separation and sparse component analysis of overcomplete mixtures

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2004, ESANN.

Quasi‐Newton Algorithms for Nonnegative Matrix Factorization

S. Amari, A. Cichocki, R. Zdunek, 2009 .

A robust approach to independent component analysis of signals with high-level noise measurements

S. Amari, A. Cichocki, Jianting Cao, 2003, IEEE Trans. Neural Networks.

Equivariant nonstationary source separation

S. Amari, A. Cichocki, Seungjin Choi, 2002, Neural Networks.

Common components analysis via linked blind source separation

Andrzej Cichocki, Danilo P. Mandic, Guoxu Zhou, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4

Andrzej Cichocki, Anh Huy Phan, Masao Yamagishi, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comment on "Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition"

Sergio Cruces, Andrzej Cichocki, A. Cichocki, 2011, Neurocomputing.

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2018, IEEE Access.

On-Line Step-Size Selection for Training of Adaptive Systems

S.C. Douglas, A. Cichocki, S. Douglas, 1997, IEEE Signal Processing Magazine.

Algebraic differential decorrelation for nonstationary source separation

Andrzej Cichocki, A. Cichocki, Seungjin Choi, 2001 .

Patients' consciousness analysis using dynamic approximate entropy and MEMD method

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference.

Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans

Andrzej Cichocki, François-Benoît Vialatte, Jianting Cao, 2007, Comput. Intell. Neurosci..

Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis

Andrzej Cichocki, Jianting Cao, Liangyu Zhao, 2006, ISNN.

Local Adaptive Learning Algorithms For Blind Separation Of Natural Images

Andrzej Cichocki, A. Cichocki, 1996 .

On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2012, LVA/ICA.

The explicit inverses of general tridiagonal matrices and some applications

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1986 .

Synthesis of nonlinear functions using continued fraction expansion

A. Cichocki, 1980 .

Logarithmic and exponential switched-capacitor convertors and some of their applications

A. Cichocki, R. Unbehauen, 1988 .

CMOS Analog-to-Digital and Digital-to-Analog Conversion Systems

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1989 .

Real-Time Wireless Sonification of Brain Signals Real-Time Wireless Sonification of Brain Signals

A. Cichocki, M. Elgendi, J. Dauwels, 2012 .

Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"

A. Cichocki, Qibin Zhao, H. Hontani, 2019, ArXiv.

Effects of Visual Attention on Tactile P300 BCI

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2020, Comput. Intell. Neurosci..

Novel hybrid brain–computer interface system based on motor imagery and P300

Andrzej Cichocki, Erwei Yin, Jing Jin, 2019, Cognitive Neurodynamics.

A NewNonlinear Similarity MeasureforMultichannel Biological Signals

A. Cichocki, Jianwu Xu, 2007 .

Adaptive blind signal and image processing

S. Amari, A. Cichocki, 2002 .

Non-linear filter based outer product expansion with reference signal for EEG analysis

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Regularization using geometric information between sensors capturing features from brain signals

Toshihisa Tanaka, Andrzej Cichocki, Hiroshi Higashi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Rational variety mapping for contrast-enhanced nonlinear unsupervised segmentation of multispectral images of unstained specimen.

Andrzej Cichocki, Ivica Kopriva, Marina Korolija, 2011, The American journal of pathology.

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2011, 2011 19th European Signal Processing Conference.

Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis

Andrzej Cichocki, Ichi Takumi, Motoaki Mouri, 2010, ICONIP.

Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain

Andrzej Cichocki, Ivica Kopriva, A. Cichocki, 2010, LVA/ICA.

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2010, 2010 18th European Signal Processing Conference.

Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals

Andrzej Cichocki, Ichi Takumi, Motoaki Mouri, 2009, ICONIP.

Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI

Andrzej Cichocki, Ichi Takumi, Tohru Yagi, 2009, ICONIP.

A. Funase, M. Mouri, Y. Tohru, 2008, 2008 International Symposium on Information Theory and Its Applications.

Control of a Wheelchair by Motor Imagery in Real Time

Kyuwan Choi, Andrzej Cichocki, A. Cichocki, 2008, IDEAL.

Research for estimating direction of saccadic eye movements by single trial processing

A. Funase, I. Takumi, A. Cichocki, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Source localization with EEG data for BP shows major activities in the frontal areas of the brain

A. Cichocki, R. Prasad, H. Bakardjian, 2007, SICE Annual Conference 2007.

Single trial analysis on saccade-related EEG signal

A. Funase, I. Takumi, A. Cichocki, 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

Blind source extraction based on a linear predictor

Andrzej Cichocki, Wei Liu, Danilo P. Mandic, 2007 .

Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

A near real-time approach for convolutive blind source separation

Jie Huang, Andrzej Cichocki, Daming Wei, 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement

Toshihisa Tanaka, Andrzej Cichocki, Jonathon A. Chambers, 2005, IEEE Transactions on Speech and Audio Processing.

Blind source separation: new tools for extraction of source signals and denoising

Andrzej Cichocki, A. Cichocki, 2005, SPIE Defense + Commercial Sensing.

Blind source estimation of FIR channels for binary sources: a grouping decision approach

A. Cichocki, Liqing Zhang, Yuanqing Li, 2004, Signal Process..

An on-line algorithm for blind source extraction based on nonlinear prediction approach

Andrzej Cichocki, Danilo P. Mandic, Uttachai Manmontri, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Robust Independent Component Analysis via Time-Delayed Cumulant Functions

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Blind identification problems with constraints

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Robust Blind Source Separation Utilizing Second and Fourth Order Statistics

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2002, ICANN.

Extraction and classification of common independent components in single-trial crossmodal cortical responses

Andrzej Cichocki, Hovagim Bakardjian, A. Cichocki, 2010 .

Classification of Fast Imagined Motion Responses for a Human-Computer Interface

A. Cichocki, H. Bakardjian, 2010 .

Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease

Andrzej Cichocki, Jordi Solé i Casals, Zhe Chen, 2008, BIOSIGNALS.

Comparisons of prewhitening algorithms of noisy signals

Krzysztof Siwek, Stanislaw Osowski, Andrzej Cichocki, 2005 .

Crossmodal cortical responses revealed by single-trial wavelet-packet-enhanced ICA

A. Cichocki, H. Bakardjian, 2004 .

Blind Extraction of Sparse Images from under-determined Mixtures

Andrzej Cichocki, Wlodzimierz Kasprzak, Adam F. Okazaki, 2004, ICCVG.

Blind source separation based analysis of movement related cortical potentials

A. Cichocki, A. Sano, B. Hovagim, 2004, SICE 2004 Annual Conference.

in single-trial crossmodal cortical responses

Andrzej Cichocki, Hovagim Bakardjian, A. Cichocki, 2004 .

Prewhitening Algorithms of Signals in the Presence of White Noise

A. Cichocki, K. Siwek, aw Osowski, 2004 .

AN ONLINE ALGORITHM FOR BLIND EXTRACTION OF SOURCES WITH DIFFERENT DYNAMICAL STRUCTURES

Danilo P. Mandic, Andrzej Cichocki, A. Cichocki, 2003 .

RESEARCH OF SACCADE-RELATED EEG: COMPARISON OF ENSEMBLE AVERAGING METHOD AND INDEPENDENT COMPONENT ANALYSIS

Shigeru Okuma, Andrzej Cichocki, Tohru Yagi, 2003 .

INVITED PAPER Special Section on Special Issue on Blind Signal Processing Blind Source Separation Algorithms with Matrix Constraints

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2003 .

Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal

Andrzej Cichocki, Sergiy A. Vorobyov, A. Cichocki, 2001, Digit. Signal Process..

Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods

Andrzej Cichocki, Reda R. Gharieb, Tetsuya Hoya, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Independent Component Analysis Algorithm for Online Blind Source Separation and Blind Equalization Systems

Andrzej Cichocki, Noboru Murata, Jianting Cao, 2000 .

Hybrid learning approach to blind deconvolution of linear MIMO systems

Seungjin Choi, Andrzej Cichocki, A. Cichocki, 1999 .

Learning in dynamic neural networks using signal flow graphs

Stanislaw Osowski, Andrzej Cichocki, A. Cichocki, 1999, Int. J. Circuit Theory Appl..

A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals

Andrzej Cichocki, Ruey-Wen Liu, Seungjin Choi, 1998, Neural Processing Letters.

Neural networks for computing eigenvalues and eigenvectors

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1992, Biological Cybernetics.

New learning algorithm for blind separation of sources

Andrzej Cichocki, Leszek Moszczynski, A. Cichocki, 1992 .

Neural network for singular value decomposition

Andrzej Cichocki, A. Cichocki, 1992 .

On Some Extensions Of The Natural Gradient Algorithm

Shun-ichi Amari, Andrzej Cichocki, Pando G. Georgiev, 2001 .

Blind Equalization via Approximate Maximum Likelihood Source Separation

A. Cichocki, Choi, 2001 .

Self-Scaling and Self-Adaptive Compact Time-Delay Neural Network for Dynamical Nonlinear and Nonstationary System Identification

Jianting Cao, Andrzej Cichocki, Shoji Tanaka, 2000 .

Blind separation of delayed and superimposed acoustic sources : learning algorithms an experimental study

Hervé Glotin, Andrzej Cichocki, Frédéric Berthommier, 1999 .

Recurrent Least Squares Learning for Quasi{parallel Principal Component Analysis

A. Cichocki, 1996 .

A new neural network for solving linear programming problems

Andrzej Cichocki, Rolf Unbehauen, K. Weinzierl, 1996 .

Principal/Minor Component Analysis and Related Problems

S. Amari, A. Cichocki, 2002 .

On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter

Andrzej Cichocki, Reda R. Gharieb, A. Cichocki, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Sparse Super Symmetric Tensor Factorization

Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, 2007, ICONIP.

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

A. Cichocki, Yu Zhang, Guoxu Zhou, 2012, IEEE Transactions on Neural Networks and Learning Systems.

On the convergence of FOCUSS algorithm for sparse representation pdf

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2012, ArXiv.

L3C-Stereo: Lossless Compression for Stereo Images pdf

Chao Li, Andrzej Cichocki, Peiying Ruan, 2021, ArXiv.

On the synchrony of steady state visual evoked potentials and oscillatory burst events

A. Cichocki, Y. Yamaguchi, J. Dauwels, 2009, Cognitive Neurodynamics.

Synchrony analysis of paroxysmal gamma waves in meditation EEG

Andrzej Cichocki, Justin Dauwels, Jing Jin, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast communication: Bayesian estimation of the number of principal components

A. Cichocki, A. Seghouane, 2007 .

Multi-channel EEG compression based on 3D decompositions

M. Ramasubba Reddy, Andrzej Cichocki, Justin Dauwels, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Task-Independent EEG Identification via Low-Rank Matrix Decomposition

Andrzej Cichocki, Wanzeng Kong, Qiaonan Fan, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sensitivity in Tensor Decomposition

Andrzej Cichocki, Anh-Huy Phan, Petr Tichavsky, 2019, IEEE Signal Processing Letters.

Latent Space Coding Capsule Network for Mental Workload Classification

A. Cichocki, Junhua Li, Anastasios Bezerianos, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications

S. Amari, A. Cichocki, 2002 .

Measurement of the elastic magnetic form factor of (3)He at high momentum transfer.

A. Cichocki, X. Jiang, B. Asavapibhop, 2001, Physical review letters.

Basic Building Blocks of Linear SC Networks

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1989 .

Realisation of resistive N-port networks using operational amplifiers

A. Cichocki, S. Osowski, A. Cichocki, 1978 .