Andrzej Cichocki

发表

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.

DYNAMIC CAPACITY ALLOCATION ALGORITHMS FOR INET LINK MANAGER

Andrzej Cichocki, Mariusz Fecko, Kirk Chang, 2014 .

Novel hierarchical ALS algorithm for nonnegative tensor factorization

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

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..

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.

Low-rank blind nonnegative matrix deconvolution

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

Convergence Analysis of the FOCUSS Algorithm

Zhaoshui He, Andrzej Cichocki, Kan Xie, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Very Large-Scale Singular Value Decomposition Using Tensor Train Networks

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ArXiv.

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.

Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation

Yuanqing Li, Cuntai Guan, Andrzej Cichocki, 2008, IEEE Transactions on Neural Networks.

EEG/MEG Signal Processing

Andrzej Cichocki, Saeid Sanei, 2007, Comput. Intell. Neurosci..

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..

Common feature analysis for recognizing steady-state visual evoked potential in brain-computer interface

Xingyu Wang, Andrzej Cichocki, Yu Zhang, 2013 .

An analysis of the CCA approach for blind source separation and its adaptive realization

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, 2006 IEEE International Symposium on Circuits and Systems.

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

Naotaka Fujii, Liqing Zhang, Andrzej Cichocki, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications

Zhigang Zeng, Xiaolin Hu, Andrzej Cichocki, 2016, IEEE Trans. Neural Networks Learn. Syst..

From Events to Awareness

Andrzej Cichocki, Marian H. Nodine, Dimitrios Georgakopoulos, 2006, 2006 IEEE Services Computing Workshops.

Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences pdf

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2014, Entropy.

Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels

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

K-Hyperplanes Clustering and Its Application to Sparse Component Analysis

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2006, ICONIP.

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

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

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

Andrzej Cichocki, François Vialatte, Gerard Dreyfus, 2005 .

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..

Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition

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

Knowledge-Based Intelligent Information and Engineering Systems

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

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

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

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

Andrzej Cichocki, Junhua Li, Roxana Semenyuk, 2014 .

Whether generic model works for rapid ERP-based BCI calibration

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

PARAFAC algorithms for large-scale problems

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

Individual Classification of Emotions Using EEG

Andrzej Cichocki, Stefano Valenzi, Tanvir Islam, 2014 .

Robust image association by recurrent neural subnetworks

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

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.

Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective

Andrzej Cichocki, Shengli Xie, Qibin Zhao, 2014, IEEE Signal Processing Magazine.

Analysis of Sparse Representation and Blind Source Separation

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

Multi-Command Real-Time Brain Machine Interface Using SSVEP: Feasibility Study for Occipital and Forehead Sensor Locations

Andrzej Cichocki, Pablo Martinez, Hovagim Bakardjian, 2008 .

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

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

Sparse Group Representation Model for Motor Imagery EEG Classification

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

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

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

Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis

Yukihiko Yamashita, Andrzej Cichocki, Tatsuya Yokota, 2015, Signal Process..

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.

Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2012, IEEE Transactions on Signal Processing.

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).

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.

Brain-Robot Interfaces Using Spatial Tactile BCI Paradigms - Symbiotic Brain-Robot Applications

Andrzej Cichocki, Kensuke Shimizu, Tomasz M. Rutkowski, 2015, Symbiotic.

Advances in Blind Source Separation

Andrzej Cichocki, Frank Ehlers, 2007, EURASIP J. Adv. Signal Process..

CG-M-FOCUSS and Its Application to Distributed Compressed Sensing

Zhaoshui He, Andrzej Cichocki, Jianting Cao, 2008, ISNN.

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).

Awareness-Enabled Coordination for Large Scale Collaboration Management

Andrzej Cichocki, Marian H. Nodine, Dimitrios Georgakopoulos, 2006, International Symposium on Collaborative Technologies and Systems (CTS'06).

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

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

Neural network for singular value decomposition

Andrzej Cichocki, A. Cichocki, 1992 .

Inferring Brain Networks through Graphical Models with Hidden Variables

Andrzej Cichocki, Justin Dauwels, Jaeseung Jeong, 2011, MLINI.

Robust blind source separation algorithms using cumulants

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

Joint Structured Graph Learning and Unsupervised Feature Selection

Feiping Nie, Andrzej Cichocki, Yong Peng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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).

EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts

Andrzej Cichocki, Jordi Solé i Casals, François B. Vialatte, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Blind source separation with convolutive noise cancellation

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

Implementation of matrix factorization based on minimizing quasi-absolute distance for electromagnetic global signal elimination

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2009, 2009 17th European Signal Processing Conference.

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).

Advances in Nonnegative Matrix and Tensor Factorization

Andrzej Cichocki, Paris Smaragdis, Morten Mørup, 2008, 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..

A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations

Liqing Zhang, Zhaoshui He, Andrzej Cichocki, 2008, Neural Computation.

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

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

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).

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

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

Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Face Representations via Tensorfaces of Various Complexities

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

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).

Signal Processing for Neural Spike Trains

Nitish V. Thakor, Andrzej Cichocki, Theodore W. Berger, 2010, Comput. Intell. Neurosci..

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 .

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).

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2010, 2010 18th European Signal Processing Conference.

A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition

Liqing Zhang, Andrzej Cichocki, Qiang Wu, 2011, ICONIP.

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).

Sparse Representation and Its Applications in Blind Source Separation

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

Tensor Ring Decomposition pdf

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

Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems pdf

Andrzej Cichocki, A. Cichocki, 2014, ArXiv.

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.

Sparse Super Symmetric Tensor Factorization

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

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

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

EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition

Andrzej Cichocki, Tomasz M. Rutkowski, Jordi Solé i Casals, 2012, IJCCI.

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..

Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ISNN.

Neural Coding by Temporal and Spatial Correlations

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

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.

Nonnegative Shifted Tensor Factorization in time frequency domain

Jie Li, Ju Liu, Andrzej Cichocki, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Multi-tensor completion for estimating missing values in video data

Chao Li, Andrzej Cichocki, Lili Guo, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting pdf

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, ArXiv.

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

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2009 .

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.

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.

Modified Herault-Jutten Algorithms for Blind Separation of Sources

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

Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations

Tapani Ristaniemi, Fengyu Cong, Andrzej Cichocki, 2012, ICONIP.

Neural networks for blind decorrelation of signals

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

Feature learning from incomplete EEG with denoising autoencoder pdf

Liqing Zhang, Andrzej Cichocki, Junhua Li, 2014, Neurocomputing.

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.

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..

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

Andrzej Cichocki, Erwei Yin, Jing Jin, 2019, Cognitive Neurodynamics.

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

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

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

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

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.

Rank Splitting for CANDECOMP/PARAFAC

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, LVA/ICA.

Application of SFG in learning algorithms of neural networks

Andrzej Cichocki, Stanislaw Osowski, A. Cichocki, 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.

Learning in dynamic neural networks using signal flow graphs

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

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

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

Epileptic EEG visualization and sonification based on linear discriminate analysis

Wei Chen, Andrzej Cichocki, Chia-Ping Shen, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

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

Subband decomposition independent component analysis and new performance criteria

Toshihisa Tanaka, Andrzej Cichocki, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Dynamic End-To-End QoS Management for Advanced RF Telemetry Networks

Andrzej Cichocki, Mariusz Fecko, Larry Wong, 2011 .

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.

in single-trial crossmodal cortical responses

Andrzej Cichocki, Hovagim Bakardjian, A. Cichocki, 2004 .

When is non-negative matrix decomposition unique?

Andrzej Cichocki, Scott T. Rickard, 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

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..

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

Andrzej Cichocki, A. Cichocki, 1998 .

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

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

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).

Migrating workflows and their transactional properties

Andrzej Cichocki, Marek Rusinkiewicz, 1998 .

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.

Fundamental tensor operations for large-scale data analysis using tensor network formats

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2018, Multidimens. Syst. Signal Process..

RESEARCH OF SACCADE-RELATED EEG: COMPARISON OF ENSEMBLE AVERAGING METHOD AND INDEPENDENT COMPONENT ANALYSIS

Shigeru Okuma, Andrzej Cichocki, Tohru Yagi, 2003 .

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2018, IEEE Access.

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

Andrzej Cichocki, Md. Rabiul Islam, Toshihisa Tanaka, 2020, Scientific Reports.

Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion pdf

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

Blind source separation: new tools for extraction of source signals and denoising

Andrzej Cichocki, A. Cichocki, 2005, SPIE Defense + Commercial Sensing.

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).

Learning in dynamic neural networks using signal flow graphs

Stanislaw Osowski, Andrzej Cichocki, A. Cichocki, 1999, Int. J. Circuit Theory Appl..

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

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

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

Andrzej Cichocki, Alexander P. Kuleshov, 2020 .

GNMF with Newton-Based Methods

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2013, ICANN.

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).

Sparse component analysis and blind source separation of underdetermined mixtures

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2005, IEEE Transactions on Neural Networks.

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.

Natural Gradient Learning Algorithms for Decorrelation

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

Workflow Technology: the Support for Collaboration

Andrzej Cichocki, Marek Rusinkiewicz, Dimitrios Georgakopoulos, 2003 .

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).

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.

Two-stage Blind Deconvolution Using State-space Models

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

Two-sided diagonalization of order-three tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Glossokinetic Potentials for a Tongue-Machine Interface: How Can We Trace Tongue Movements with Electrodes?

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2016, IEEE Systems, Man, and Cybernetics Magazine.

Common and Individual Features Analysis: Beyond Canonical Correlation Analysis pdf

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

K-EVD Clustering and Its Applications to Sparse Component Analysis

Zhaoshui He, Andrzej Cichocki, 2006, ICA.

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.

Non-Holonomic Constraints in Learning Blind Source Separation

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

The collaboration management infrastructure

Andrzej Cichocki, Marek Rusinkiewicz, Dimitrios Georgakopoulos, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2011, 2011 19th European Signal Processing Conference.

Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis

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

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..

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.

Design and evaluation of a capacitively coupled sensor readout circuit, toward contact-less ECG and EEG

Atila Alvandpour, Andrzej Cichocki, Daniel Svard, 2010, 2010 Biomedical Circuits and Systems Conference (BioCAS).

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.

Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm

Andrzej Cichocki, Pablo Martinez, Hovagim Bakardjian, 2007, Comput. Intell. Neurosci..

Blind deconvolution of FIR channels with binary sources: a grouping decision approach

Liqing Zhang, Yuanqing Li, Andrzej Cichocki, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

On Similarity Measures for Spike Trains

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

Laboratory Introduction The Laboratory for Advanced Brain Signal Processing--RIKEN BSI Why It Is, and How It Came to Be

Andrzej Cichocki, 2003 .

Bimodal BCI Using Simultaneously NIRS and EEG

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

Blind source extraction of instantaneous noisy mixtures using a linear predictor

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Bounding the effects of compensation under relaxed multi-level serializability

Amit P. Sheth, Andrzej Cichocki, Marek Rusinkiewicz, 2004, Distributed and Parallel Databases.

Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG

Hiroshi Yasukawa, Andrzej Cichocki, Akitoshi Itai, 2017, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Underdetermined blind source separation based on sparse representation

Daniel W. C. Ho, Yuanqing Li, Andrzej Cichocki, 2006, 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..

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 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).

Stability Analysis of Learning Algorithms for Blind Source Separation

Andrzej Cichocki, Shun-ichi Amari, Tianping Chen, 1997, Neural Networks.

Improved Sparse Bump Modeling for Electrophysiological Data

Andrzej Cichocki, Justin Dauwels, Jordi Solé i Casals, 2008, ICONIP.

Non-Negative Tensor Factorization using Alpha and Beta Divergences

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach

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

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.

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.

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.

Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization

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

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.

Kernel-based tensor partial least squares for reconstruction of limb movements

Liqing Zhang, Andrzej Cichocki, Tülay Adali, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient

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

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

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

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

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

EEG-based approach for recognizing human social emotion perception

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

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..

Natural gradient algorithm for blind separation of overdetermined mixture with additive noise

Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari, 1999, IEEE Signal Processing Letters.

Semiparametric model and superefficiency in blind deconvolution

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

A Database Environment for Workflow Specification and Execution

Andrzej Cichocki, Marek Rusinkiewicz, Dominique Jean, 1996, CODAS.

Workflow and Process Automation: Concepts and Technology

Andrzej Cichocki, Darrell Woelk, Marek Rusinkiewicz, 1997 .

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).

Robust Channel Identification Using FOCUSS Method

Andrzej Cichocki, Zhaoshui He, 2010 .

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).

Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG

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

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).

Providing Transactional Properties for Migrating Workflows

Andrzej Cichocki, Marek Rusinkiewicz, 2004, Mob. Networks Appl..

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).

Efficient method for Tucker3 model selection

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

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.

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).

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

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

NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity

Laura Astolfi, Fabio Babiloni, Andrzej Cichocki, 2009, Comput. Intell. Neurosci..

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements

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

Independent Residual Analysis for Temporally Correlated Signals

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

Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Measuring Neural Synchrony by Message Passing

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

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).

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.

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

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

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.

Applying Non-negative Matrix Factorization for global signal elimination from electromagnetic signals

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2007, 2007 15th European Signal Processing Conference.

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

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

Inpainting color images in learned dictionary

Andrzej Cichocki, Ivica Kopriva, Marko Filipovic, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

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

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

Sequential Coordinate-Wise DNMF for Face Recognition

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2010, ICAISC.

On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter

Andrzej Cichocki, Reda R. Gharieb, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2013, AAAI.

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.

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness

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

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

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

Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2006, 2006 14th European Signal Processing Conference.

Workflow Migration Supporting Virtual Enterprises

Andrzej Cichocki, Dimitrios Georgakopoulos, Marek Rusinkiewicz, 2000 .

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

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

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.

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

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

Second Order Nonstationary Source Separation

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

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

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

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

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

Rate of Convergence of the FOCUSS Algorithm

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

Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels

Jun Wang, Yuanqing Li, Andrzej Cichocki, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Speech comprehension assessed by electroencephalography with m-sequence technique

Andrzej Cichocki, Ayumu Matani, Sachiko Koyama, 2007 .

Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2016, Front. Neurosci..

Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals

Andrzej Cichocki, Ichi Takumi, Motoaki Mouri, 2009, ICONIP.

Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition

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

Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach

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

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.

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.

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..

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).

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.

Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2015 .

A new nonlinear similarity measure for multichannel signals

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

Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition

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

Extended SMART Algorithms for Non-negative Matrix Factorization

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

Non-negative matrix factorization with alpha-divergence

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

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

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

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

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

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

Andrzej Cichocki, Shu Gong, Junhua Li, 2020, ArXiv.

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

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

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

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

Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering

Fengyu Cong, Andrzej Cichocki, Anh Huy Phan, 2016, ICONIP.

Emotional empathy transition patterns from human brain responses in interactive communication situations

Toyoaki Nishida, Andrzej Cichocki, Danilo P. Mandic, 2011, AI & SOCIETY.

Sparse Component Analysis: a New Tool for Data Mining

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

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.

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition pdf

Andrzej Cichocki, Danilo P. Mandic, André Uschmajew, 2016, ArXiv.

Robust Techniques for BSS and ICA with Noisy Data

Andrzej Cichocki, Shun-ichi Amari, 2002 .

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).

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.

Distributed fault diagnostics for tactical networks

Andrzej Cichocki, A. Fecko Mariusz, Shubha Kadambe, 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.

Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation

Liqing Zhang, Andrzej Cichocki, Anh Huy Phan, 2007, ICONIP.

Multilinear state space system identification with matrix product operators

Andrzej Cichocki, Kim Batselier, Ching-Yun Ko, 2018 .

Accelerated Canonical Polyadic Decomposition Using Mode Reduction

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

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.

Canonical Polyadic Decomposition With Auxiliary Information for Brain–Computer Interface

Chao Li, Andrzej Cichocki, Junhua Li, 2014, IEEE Journal of Biomedical and Health Informatics.

EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts

Andrzej Cichocki, Jordi Solé-Casals, François-Benoit Vialatte, 2008, Physiological measurement.

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).

Robust Blind Source Separation Utilizing Second and Fourth Order Statistics

Andrzej Cichocki, Pando G. Georgiev, Pando Georgiev, 2002, ICANN.

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.

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

Andrzej Cichocki, 2020, ArXiv.

Motor Priming as a Brain-Computer Interface

Kiyoshi Hoshino, Andrzej Cichocki, Tomasz M. Rutkowski, 2016, ICONIP.

Blind Extraction of Sparse Images from under-determined Mixtures

Andrzej Cichocki, Wlodzimierz Kasprzak, Adam F. Okazaki, 2004, ICCVG.

Neural networks for computing eigenvalues and eigenvectors

Andrzej Cichocki, Rolf Unbehauen, A. Cichocki, 1992, Biological Cybernetics.

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.

Extraction of Specific Signals with Temporal Structure

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

K-hyperline clustering learning for sparse component analysis

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

Hybrid-BCI: Classification of auditory and visual related potentials

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2014, 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS).

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.

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.

Blind Separation of Filtered Sources Using State-Space Approach

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

Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals

Andrzej Cichocki, Tadeusz Lobos, Pawel Kostyla, 1997, ICANN.

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

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

Multichannel EEG brain activity pattern analysis in time–frequency domain with nonnegative matrix factorization support

Andrzej Cichocki, Tomasz M. Rutkowski, Rafal Zdunek, 2007 .

Application of time-frequency distributions to the independent component analysis of ECG signals

Andrzej Cichocki, Adel Belouchrani, Assya Bousbia-Salah, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

ADAPTIVE NOISE CANCELLATION FOR MULTI-SENSORY SIGNALS

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

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.

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.

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

Andrzej Cichocki, Tatsuya Yokota, Junhua Li, 2018, Scientific Reports.

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.

Separation of EOG artifacts from EEG signals using bivariate EMD

Toshihisa Tanaka, Andrzej Cichocki, Tomasz M. Rutkowski, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Second-order statistics based blind source separation using a bank of subband filters

Andrzej Cichocki, Reda R. Gharieb, 2003, Digit. Signal Process..

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.

Damped Newton Iterations for Nonnegative Matrix Factorization

Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, 2010, Aust. J. Intell. Inf. Process. Syst..

Improved SFFS method for channel selection in motor imagery based BCI

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

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.

Multiway array decomposition analysis of EEGs in Alzheimer's disease

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

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

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

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..

Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz)

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

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.

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.

Robust Bayesian Tensor Factorization for Incomplete Multiway Data pdf

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

Multikernel Capsule Network for Schizophrenia Identification

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

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).

Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements

Andrzej Cichocki, Cesar F. Caiafa, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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..

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.

Generalized optimal spatial filtering using a kernel approach with application to EEG classification

Liqing Zhang, Andrzej Cichocki, Tomasz M. Rutkowski, 2010, Cognitive Neurodynamics.

B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization

Andrzej Cichocki, Tatsuya Yokota, Rafal Zdunek, 2014, ICAISC.

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.

Nonnegative Tucker decomposition with alpha-divergence

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

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.

Multilinear generalization of Common Spatial Pattern

Liqing Zhang, Andrzej Cichocki, Qibin Zhao, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration

Shin Ishii, Andrzej Cichocki, Justin Dauwels, 2008, ICONIP.

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..

A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, 2010, ICONIP.

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

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

CAPACITY ALLOCATION FOR TELEMETRY LINKS WITH VARIABLE TRANSMISSION RATES

Andrzej Cichocki, Mariusz Fecko, Kirk Chang, 2016 .

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).

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.

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations

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

Modelling of soft fault propagation in sequential circuits by fuzzy-logic simulations

Andrzej Cichocki, Krzysztof Poźniak, Ryszard Romaniuk, 2019, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

Self-adaptive blind source separation based on activation functions adaptation

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

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.

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.

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.

Probability estimation for recoverability analysis of blind source separation based on sparse representation

Yuanqing Li, Cuntai Guan, Andrzej Cichocki, 2006, IEEE Transactions on Information Theory.

ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection

Andrzej Cichocki, Jordi Solé i Casals, François B. Vialatte, 2010, BIOSIGNALS.

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..

Welcome to SIGNALS: A New Open-Access Scientific Journal on Signal Analysis, Retrieval and Processing

Andrzej Cichocki, 2018 .

Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches

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

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..

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.

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

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

Reduced-Order Modeling of Deep Neural Networks pdf

Andrzej Cichocki, Ivan Oseledets, Evgeny Ponomarev, 2019, ArXiv.

Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting

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

Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification

Toshihisa Tanaka, Andrzej Cichocki, Tomasz M. Rutkowski, 2010, ICONIP.

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..

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications

Fabio Babiloni, Shangkai Gao, Andrzej Cichocki, 2007, Comput. Intell. Neurosci..

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2006, KES.

MUSCO: Multi-Stage Compression of neural networks

Andrzej Cichocki, Ivan Oseledets, Evgeny Ponomarev, 2019 .

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2012, LVA/ICA.

Blind source extraction using spatio-temporal inverse filter

Yukihiko Yamashita, Andrzej Cichocki, Yoshikazu Washizawa, 2009, 2009 IEEE International Symposium on Circuits and Systems.

A New Learning Algorithm for Blind Signal Separation

Andrzej Cichocki, Shun-ichi Amari, Howard Hua Yang, 1995, NIPS.

Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization

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

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

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

Equivariant Nonstationary Source Separation

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

An iterative inversion approach to blind source separation

Sergio Cruces, Andrzej Cichocki, Luis Castedo, 2000, IEEE Trans. Neural Networks Learn. Syst..

Comparative study on the classification methods for breast cancer diagnosis

Andrzej Cichocki, Q. Zhao, Y Qiu, 2018 .

Spectral Power Estimation for Unevenly Spaced Motor Imagery Data

Liqing Zhang, Andrzej Cichocki, Junhua Li, 2013, ICONIP.

Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements

Andrzej Cichocki, Ichi Takumi, Arao Funase, 2011, ICONIP.

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

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

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.

Self-whitening algorithms for adaptive equalization and deconvolution

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

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2007, ICANNGA.

Non-Negative Matrix Factorization

Andrzej Cichocki, 安川博, 内匠逸, 2020 .

Extracting commuting patterns in railway networks through matrix decompositions

Andrzej Cichocki, Muhammad Tayyab Asif, Nikola Mitrovic, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Adaptive multichannel blind deconvolution using state-space models

Andrzej Cichocki, Liqing Zhang, A. Cichocki, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

Cyborg Intelligence: Towards Bio-Machine Intelligent Systems

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

A Minor Component Analysis Algorithm

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

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).

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

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

On Neural Blind Separation with Noise Suppression and Redundancy Reduction

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

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.

Process-based service integration for zero latency supply chains in virtual enterprises

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2000, Proceedings Academia/Industry Working Conference on Research Challenges '00. Next Generation Enterprises: Virtual Organizations and Mobile/Pervasive Technologies. AIWORC'00. (Cat. No.PR00628).

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition

Xingyu Wang, Andrzej Cichocki, Yangsong Zhang, 2017, Neurocomputing.

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).

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..

Privacy-protecting index for outsourced databases

Andrzej Cichocki, Euthimios Panagos, Chung-Min Chen, 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).

WISER: realistic and scalable wireless mobile IP network emulator

Ibrahim Hokelek, Andrzej Cichocki, Sunil Samtani, 2009, Defense + Commercial Sensing.

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..

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

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

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.

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.

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).

Recurrent least square learning for quasi-parallel principal component analysis

Andrzej Cichocki, Wlodzimierz Kasprzak, 1996, ESANN.

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.

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).

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.

Process-based e-service integration

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2000, TES.

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.

Correlation matching approach to source separation in the presence of spatially correlated noise

Andrzej Cichocki, Seungjin Choi, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

Constrained Projection Approximation Algorithms for Principal Component Analysis

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

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

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

Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface

Ju Liu, Andrzej Cichocki, Yu Zhang, 2019, Int. J. Neural Syst..

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

Andrzej Cichocki, Masao Yamagishi, Anh-Huy Phan, 2019, Neural Computing and Applications.

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.

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

Andrzej Cichocki, A. Cichocki, 2020 .

Advances in Electroencephalography Signal Processing [Life Sciences]

Andrzej Cichocki, Saeid Sanei, Kianoush Nazarpour, 2013, IEEE Signal Processing Magazine.

Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning

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

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

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

Neural networks for blind separation with unknown number of sources

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

Study of noise influence on self-organization phenomena in chaotic neural networks

Andrzej Cichocki, Z. Galias, M. J. Ogorzalek, 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.

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

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

Higher-order PLS for classification of ERPs with application to BCIs

Liqing Zhang, Andrzej Cichocki, Jianting Cao, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

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.

Neural networks for optimization and signal processing

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

Quantifying EEG synchrony using copulas

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

Switched-capacitor neural networks for differential optimization

Andrzej Cichocki, Rolf Unbehauen, 1991, Int. J. Circuit Theory Appl..

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.

Video denoising using low rank tensor decomposition

Andrzej Cichocki, Dongsheng Wang, Jianting Cao, 2017, International Conference on Machine Vision.

Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering

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

Towards a Model for Multidatabase Transactions

Andrzej Cichocki, Marek Rusinkiewicz, Piotr Krychniak, 1992, Int. J. Cooperative Inf. Syst..

Blind Source Separation and Deconvolution of Fast Sampled Signals

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

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).

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

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

Error Preserving Correction for CPD and Bounded-Norm CPD pdf

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

Multidimensional compressed sensing and their applications

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

Awareness-based Collaboration Driving Process-based Coordination

Andrzej Cichocki, Marian H. Nodine, Dimitrios Georgakopoulos, 2006, 2006 International Conference on Collaborative Computing: Networking, Applications and Worksharing.

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).

Decomposition of Big Tensors With Low Multilinear Rank pdf

Andrzej Cichocki, Shengli Xie, Guoxu Zhou, 2014, ArXiv.

Alternating Least Squares and Related Algorithms for NMF and SCA Problems

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

Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals

Andrzej Cichocki, Rafal Zdunek, A. Cichocki, 2008, IEEE Transactions on Signal Processing.

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).

Multi-tensor Completion with Common Structures

Chao Li, Andrzej Cichocki, Junhua Li, 2015, AAAI.

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.

Bayesian Robust Tensor Factorization for Incomplete Multiway Data

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

Smooth PARAFAC Decomposition for Tensor Completion

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

Nonnegative Matrix and Tensor Factorization T

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

Local Adaptive Learning Algorithms For Blind Separation Of Natural Images

Andrzej Cichocki, A. Cichocki, 1996 .

Sparse blind identification and separation by using adaptive K-orthodrome clustering

Andrzej Cichocki, Yoshikazu Washizawa, 2008, Neurocomputing.

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).

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.

Event-driven Video Awareness Providing Physical Security

Andrzej Cichocki, Marian H. Nodine, Dimitrios Georgakopoulos, 2007, World Wide Web.

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.

Nonnegative matrix factorization with quadratic programming

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

Concatenation Method for High-temporal Resolution SSVEP-BCI

Andrzej Cichocki, Gérard Dreyfus, Yohei Tomita, 2011, IJCCI.

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

Andrzej Cichocki, A. Cichocki, 2014, ArXiv.

Neurodynamics of Emotional Judgments in the Human Brain

Andrzej Cichocki, François-Benoît Vialatte, Kazuko Hiyoshi-Taniguchi, 2016, IJCCI.

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

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

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

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

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..

The InfoSleuth Project

Vipul Kashyap, Tomasz Ksiezyk, Andrzej Cichocki, 1997, SIGMOD '97.

Robust PCA neural networks for random noise reduction of the data

Stanislaw Osowski, Andrzej Cichocki, Andrzej Majkowski, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats pdf

Andrzej Cichocki, Namgil Lee, A. Cichocki, 2014, ArXiv.

WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks

Feng Duan, Zhe Sun, Andrzej Cichocki, 2021, IEEE Access.

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

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

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach

Andrzej Cichocki, Qibin Zhao, Jordi Solé i Casals, 2018, Cognitive Computation.

SSVEP recognition using common feature analysis in brain–computer interface

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

Numerical CP decomposition of some difficult tensors

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2016, J. Comput. Appl. Math..

Advanced process-based component integration in Telcordia's Cable OSS

Anne H. H. Ngu, Andrzej Cichocki, Dimitrios Georgakopoulos, 2002, Proceedings 18th International Conference on Data Engineering.

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.

EEG Beta Range Dynamics and Emotional Judgments of Face and Voices

Andrzej Cichocki, Tatsuya Yokota, Hovagim Bakardjian, 2012, IJCCI.

Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation

Toshihisa Tanaka, Andrzej Cichocki, Jianting Cao, 2016, ICONIP.

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

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

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).

Locally Adaptive Algorithms for ICA and their Implementations

Andrzej Cichocki, Shun-ichi Amari, 2002 .

Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics

Andrzej Cichocki, Danilo P. Mandic, Soroush Javidi, 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

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

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

Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization

Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari, 2011, Entropy.

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.

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

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

Neural Coding by Redundancy Reduction and Correlation

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

K-Subspace clustering and its application in sparse component analysis

Zhaoshui He, Andrzej Cichocki, 2005 .

Improvement of Earthquake Prediction by using Global Signal Elimination from Environmental Electromagnetic Signals

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

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.

Algorithms with high order convergence speed for blind source extraction

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

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 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.

Reduction of broadband noise in speech signals by multilinear subspace analysis

Yusuke Sato, Andrzej Cichocki, Hovagim Bakardjian, 2010, INTERSPEECH.

Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008 .

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains

Liqing Zhang, Andrzej Cichocki, Anh Huy Phan, 2009, ICONIP.

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

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

Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm

Hiroshi Yasukawa, Andrzej Cichocki, Ichi Takumi, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems

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

On-line Adaptive Algorithms for Blind Equalization of Multi-Channel Systems

Andrzej Cichocki, Jianting Cao, L. Sabala, 1997, ICONIP.

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.

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).

Thin QR and SVD factorizations for simultaneous blind signal extraction

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

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).

Flexible Independent Component Analysis

Andrzej Cichocki, Shun-ichi Amari, Seungjin Choi, 2000, J. VLSI Signal Process..

Nonnegative Matrix Factorization for Motor Imagery EEG Classification

Andrzej Cichocki, Seungjin Choi, Hyekyoung Lee, 2006, ICANN.

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

Andrzej Cichocki, A. Cichocki, 2013, ArXiv.

Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network

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

Guest Editorial Special Section on Blind Signal Processing and Its Applications

Wei Xing Zheng, Andrzej Cichocki, Aurelio Uncini, 2010, IEEE Trans. Circuits Syst. I Regul. Pap..

Advances in content transformation in heterogeneous tactical wireless networks

Andrzej Cichocki, Sunil Samtani, Sharanya Eswaran, 2011, 2011 - MILCOM 2011 Military Communications Conference.

Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback

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

A new neural network for solving linear programming problems

Andrzej Cichocki, Rolf Unbehauen, K. Weinzierl, 1996 .

Nonlinear interference cancelation using neural networks

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

2011 Ieee International Workshop on Machine Learning for Signal Processing Determining the Number of Sources in High-density Eeg Recordings of Event-related Potentials by Model Order Selection

Tapani Ristaniemi, Fengyu Cong, Zhaoshui He, 2022 .

Non-negative Matrix Factorization with Quasi-Newton Optimization

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

Sequential Blind Signal Extraction

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

Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation

Andrzej Cichocki, Shun-ichi Amari, Tianping Chen, 2000, Neural Computation.

On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2012, LVA/ICA.

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

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

Exact Gradient Calculation in Gamma Neural Networks

Jacek M. Zurada, Andrzej Cichocki, Tomasz J. Cholewo, 1997 .

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).

Fast and Efficient Algorithms for Nonnegative Tucker Decomposition

Andrzej Cichocki, Anh Huy Phan, 2008, ISNN.

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.

Adaptive neural networks for robust estimation of parameters of noisy harmonic signals

Andrzej Cichocki, Tadeusz Lobos, Pawel Kostyla, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Domain Area Planning Utility (DAPU) for planning wireless Battlefield Networks

Andrzej Cichocki, Sunil Samtani, Mariusz A. Fecko, 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

Novel Features for Brain-Computer Interfaces

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

Nonnegative Tensor Factorization for Continuous EEG Classification

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

One time is not enough: iterative tensor decomposition for neural network compression pdf

Andrzej Cichocki, Ivan V. Oseledets, Evgeny Ponomarev, 2019, ArXiv.

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

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

A Two-Stage MMSE Beamformer for Underdetermined Signal Separation

Andrzej Cichocki, Zbynek Koldovský, Anh Huy Phan, 2013, IEEE Signal Processing Letters.

Nonnegative matrix factorization with constrained second-order optimization

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

Introduction to the Issue on fMRI Analysis for Human Brain Mapping

Vince D. Calhoun, Martin J. McKeown, Z. Jane Wang, 2008, IEEE J. Sel. Top. Signal Process..

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).

Blind Extraction of Global Signal From Multi-Channel Noisy Observations

Toshihisa Tanaka, Yukihiko Yamashita, Andrzej Cichocki, 2010, IEEE Transactions on Neural Networks.

Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases

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

Providing Transactional Properties for Migrating Workflows

Andrzej Cichocki, Marek Rusinkiewicz, A. Cichocki, 1999, Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99.

InfoSleuth: agent-based semantic integration of information in open and dynamic environments

Vipul Kashyap, Tomasz Ksiezyk, Andrzej Cichocki, 1997, SIGMOD '97.

Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform

Fabian J. Theis, Andrzej Cichocki, Fabian J Theis, 2004, ESANN.

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).

Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR

Allan Kardec Barros, Andrzej Cichocki, Ichi Takumi, 2006, ICA.

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).

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.

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.

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).

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).

Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP

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

A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli

Liqing Zhang, Andrzej Cichocki, Jianting Cao, 2011, ICONIP.

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).

InfoSleuth: Semantic Integration of Information in Open and Dynamic Environments (Experience Paper)

Vipul Kashyap, Tomasz Ksiezyk, Andrzej Cichocki, 1997, SIGMOD Conference.

Kernel nonnegative matrix factorization for spectral EEG feature extraction

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

Linked Tucker2 Decomposition for Flexible Multi-block Data Analysis

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

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..

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

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

Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis

Andrzej Cichocki, Jianting Cao, Liangyu Zhao, 2006, ISNN.

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..

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.

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..

Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations

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

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..

Managing Process and Service Fusion in Virtual Enterprises

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 1999, Inf. Syst..

A Novel Measure for Synchrony and its Application to Neural Signals

Andrzej Cichocki, Justin Dauwels, François B. Vialatte, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

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

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

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

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

Dynamic routing control in heterogeneous tactical networks with multiple traffic priorities

Andrzej Cichocki, Mariusz Fecko, Larry Wong, 2012, Defense, Security, and Sensing.

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

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

Analysis of financial data using non-negative matrix factorisation

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

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

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

Sparse Bayesian Classification of EEG for Brain–Computer Interface

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

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.

Differences of Functional Connectivity Brain Network in Emotional Judgment

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

A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures

Sergio Cruces, Andrzej Cichocki, Auxiliadora Sarmiento, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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.

A Robust PCA Approach With Noise Structure Learning and Spatial–Spectral Low-Rank Modeling for Hyperspectral Image Restoration

Andrzej Cichocki, Jing Yao, Kaidong Wang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008, ICIC.

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.

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.

Switched-capacitor function generators

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

On the convergence of FOCUSS algorithm for sparse representation pdf

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2012, ArXiv.

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.

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.

Using Reinforcement Learning in the Algorithmic Trading Problem pdf

Andrzej Cichocki, Ivan Oseledets, Evgeny Ponomarev, 2019, Journal of Communications Technology and Electronics.

Bayesian CP factorization of incomplete tensor for EEG signal application

Andrzej Cichocki, Jianting Cao, Qibin Zhao, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Managing escalation of collaboration processes in crisis mitigation situations

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2000, Proceedings of 16th International Conference on Data Engineering (Cat. No.00CB37073).

Low rank tensor deconvolution

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Introduction to Blind Signal Processing: Problems and Applications

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

Guest Editorial Special Issue on Information Theoretic Learning

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

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

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

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.

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 .

Awareness Provisioning in Collaboration Management

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2002, Int. J. Cooperative Inf. Syst..

Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing

Andrzej Cichocki, Rafal Zdunek, 2007, ICONIP.

Sensitivity in Tensor Decomposition

Andrzej Cichocki, Anh-Huy Phan, Petr Tichavsky, 2019, IEEE Signal Processing Letters.

Awareness-Enabled Coordination

Andrzej Cichocki, Marian H. Nodine, Dimitrios Georgakopoulos, 2005, 2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops).

Common spatial patterns for steady-state somatosensory evoked potentials

Andrzej Cichocki, Seungjin Choi, Yunjun Nam, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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.

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.

Information theory related learning

Thomas Villmann, Andrzej Cichocki, José Carlos Príncipe, 2011, ESANN.

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.

Emotional States Estimation from Multichannel EEG Maps

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008 .

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions

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

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.

State of the Industry

Andrzej Cichocki, Abdelsalam Helal, Marek Rusinkiewicz, 1998 .

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).

Advances in PARAFAC Using Parallel Block Decomposition

Andrzej Cichocki, Anh Huy Phan, 2009, ICONIP.

Ongoing Research in Workflow and Process Automation

Andrzej Cichocki, Abdelsalam Helal, Marek Rusinkiewicz, 1998 .

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..

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.

Non-orthogonal tensor diagonalization

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

Modeling and Composing Service-Based nd Reference Process-Based Multi-enterprise Processes

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2000, CAiSE.

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.

Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization

Andrzej Cichocki, Anh Huy Phan, Petr Tichavský, 2017, LVA/ICA.

Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications

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

Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation

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

Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA

Andrzej Cichocki, Sunil Wimalaratna, Jaeseung Jeong, 2009, ICONIP.

Providing customized process and situation awareness in the collaboration management infrastructure

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 1999, Proceedings Fourth IFCIS International Conference on Cooperative Information Systems. CoopIS 99 (Cat. No.PR00384).

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.

On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms pdf

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

Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI

Andrzej Cichocki, Ichi Takumi, Tohru Yagi, 2009, ICONIP.

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).

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).

An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis

Zhaoshui He, Andrzej Cichocki, 2007, ISNN.

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).

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.

On a novel measure for synchrony and its application to EEG

Andrzej Cichocki, Justin Dauwels, Francois Vialatte, 2007, Neuroscience Research.

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..

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

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

Prediction of online game performance degradation under network impairments

Andrzej Cichocki, Shoshana Loeb, Shobha Erramilli, 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

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.

Dynamic online target control of SSVEP-based brain–computer interface with multiple commands

Andrzej Cichocki, Pablo Martinez, Hovagim Bakardjian, 2007, Neuroscience Research.

Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine

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

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.

Local Learning Rules for Nonnegative Tucker Decomposition

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009, ICONIP.

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).

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

Andrzej Cichocki, A. Cichocki, 2008 .

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements pdf

Andrzej Cichocki, Deyu Meng, Zongben Xu, 2015, ArXiv.

An exploration of spatial auditory BCI paradigms with different sounds: music notes versus beeps

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2016, Cognitive Neurodynamics.

Spatial auditory paradigms for brain computer/machine interfacing

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

Fast Multi-command SSVEP Brain Machine Interface without Training

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

Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]

Petar M. Djuric, Lajos Hanzo, Andrzej Cichocki, 2019, IEEE Signal Process. Mag..

Control of a Wheelchair by Motor Imagery in Real Time

Kyuwan Choi, Andrzej Cichocki, A. Cichocki, 2008, IDEAL.

Process-Based E-Service Composition for Modeling and Automating Zero Latency Supply Chains

Andrzej Cichocki, Dimitrios Georgakopoulos, Donald Baker, 2002, Inf. Syst. Frontiers.

Blind deconvolution/equalization using state-space models

Andrzej Cichocki, Liqing Zhang, A. Cichocki, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

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.

Bayesian estimation of the number of principal components

Andrzej Cichocki, Abd-Krim Seghouane, A. Cichocki, 2006, 2006 14th European Signal Processing Conference.

Improved FOCUSS Method With Conjugate Gradient Iterations

Zhaoshui He, Andrzej Cichocki, Shengli Xie, 2009, IEEE Transactions on Signal Processing.

Split-test Bonferroni correction for QEEG statistical maps

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

Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression

Brahim Chaib-draa, Andrzej Cichocki, Ming Hou, 2016, AAAI.

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.

Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence

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

Effects of Visual Attention on Tactile P300 BCI

Xingyu Wang, Andrzej Cichocki, Ian Daly, 2020, Comput. Intell. Neurosci..

Biomedical Signal Processing: From a Conceptual Framework to Clinical Applications [Scanning the Issue]

Andrzej Cichocki, Mathias Baumert, A. Porta, 2016, Proc. IEEE.

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).

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.

On the robustness of EEG tensor completion methods

Feng Duan, Andrzej Cichocki, Cesar F. Caiafa, 2021, Science China Technological Sciences.

L3C-Stereo: Lossless Compression for Stereo Images pdf

Chao Li, Andrzej Cichocki, Peiying Ruan, 2021, ArXiv.

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

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

Evaluation of color modulation in visual P300-speller using new stimulus patterns

Andrzej Cichocki, Jing Jin, Xingyu Wang, 2021, Cognitive Neurodynamics.

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..

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.

Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis

Andrzej Cichocki, Xingyu Wang, Jing Jin, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint

Andrzej Cichocki, Alexander Panchenko, Igor Vorona, 2021, FINDINGS.

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..

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.

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.

Meta-Solver for Neural Ordinary Differential Equations pdf

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

Adaptive Rank Selection for Tensor Ring Decomposition

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

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

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

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..

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.

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

Andrzej Cichocki, Anh Huy Phan, Ivan Oseledets, 2021, IEEE Access.

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

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

Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition

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

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).

Blind multispectral image decomposition by 3D nonnegative tensor factorization.

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

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

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

Optimization Algorithms for Sparse Representations and Applications

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

Analysis of Interactions Among Hidden Components for Tucker Model

Andrzej Cichocki, Anh Huy Phan, A. Cichocki, 2009 .

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

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

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

Andrzej Cichocki, Toshiya Murai, Chihiro Namiki, 2018 .

Analysis of EEG Signals in Memory Guided Saccade Tasks

Andrzej Cichocki, Arao Funase, I. Takumi, 2007 .

NEURAL NETWORKS FOR REAL-TIME ESTIMATION OF PARAMETERS OF SIGNALS IN POWER SYSTEMS

Andrzej Cichocki, Pawel Kostyla, Zbigniew Waclawek, 2007 .

Blind Decorrelation and SOS for Robust Blind Identification

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

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.

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

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

Oscillatory Event Synchrony During Steady State Visual Evoked Potentials

Andrzej Cichocki, Justin Dauwels, Tomasz M. Rutkowski, 2008 .

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.

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 decomposition of infrared spectra using flexible component analysis

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

Geometrical Structures of FIR Manifold and Multichannel Blind Deconvolution

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

Non-negative mixtures

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

Natural Gradient Approach to Independent Component Analysis

Andrzej Cichocki, Shun-ichi Amari, 2002 .

Extraction and classification of common independent components in single-trial crossmodal cortical responses

Andrzej Cichocki, Hovagim Bakardjian, A. Cichocki, 2010 .

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

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

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

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

Technique for compensation of errors in analogue multipliers

Andrzej Cichocki, Rolf Unbehauen, 1989 .

Special issue on information theoretic learning.

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

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).

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

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

Epileptic seizure characterization by Lyapunov exponent of EEG signal

Stanislaw Osowski, Andrzej Cichocki, Bartosz Swiderski, 2007 .

Adaptive learning algorithm for principal component analysis with partial data

Andrzej Cichocki, Władysław Skarbek, Włodzimierz Kasprzak, 1996 .

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

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

An Affective BCI Using Multiple ERP Components Associated to Facial Emotion Processing

Yu Zhang, Andrzej Cichocki, Qibin Zhao, 2013 .

Improving the Specificity of EEG for Diagnosing Alzheimer's Disease

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

Fast and unique Tucker decompositions via multiway blind source separation

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

Fundamental Research on EEG Signals Related to Free-Movements and Cued-Movement in Saccadic Eye Movements and Finger Movements

Andrzej Cichocki, Ichi Takumi, Arao Funase, 2013 .

Blind equalisation using approximate maximum likelihood source separation

Andrzej Cichocki, Seungjin Choi, 2001 .

Subliminal Priming—State of the Art and Future Perspectives

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

Blind source extraction based on a linear predictor

Andrzej Cichocki, Wei Liu, Danilo P. Mandic, 2007 .

USING INDEPENDENT COMPONENT ANALYSIS AND HIGHER ORDER STATISTICS

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

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.

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

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

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

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

Analyzing Steady State Visual Evoked Potentials Using Blind Source Separation

Andrzej Cichocki, Yoko Yamaguchi, Monique Maurice, 2010 .

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

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

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

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

Fundamentals of Sampled-Data Systems

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

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).

SOURCE SEPARATION OF TEMPORALLY CORRELATED SOURCE USING BANK OF BAND PASS FILTERS

Andrzej Cichocki, Adel Belouchrani, 2001 .

Towards Affective BCI/BMI Paradigms - Analysis of fEEG and fNIRS Brain Responses to Emotional Speech and Facial Videos

Andrzej Cichocki, Danilo P. Mandic, Qibin Zhao, 2011 .

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.

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

Andrzej Cichocki, Hovagim Bakardjian, Toshihisa Tanaka, 2010 .

Algebraic differential decorrelation for nonstationary source separation

Andrzej Cichocki, A. Cichocki, Seungjin Choi, 2001 .

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

Andrzej Cichocki, A. Cichocki, 2013 .