Andrzej Cichocki

According to our database1, Andrzej Cichocki authored at least 522 papers between 1991 and 2019.

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Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to applications of blind signal processing and artificial neural networks".

Timeline

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Bibliography

2019
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound.
IEEE Trans. Signal Processing, 2019

Sparse Group Representation Model for Motor Imagery EEG Classification.
IEEE J. Biomedical and Health Informatics, 2019

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions.
IEEE Trans. Cybernetics, 2019

Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
IEEE Trans. Cybernetics, 2019

A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.
Sensors, 2019

Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
Int. J. Neural Syst., 2019

Task-free brainprint recognition based on low-rank and sparse decomposition model.
IJDMB, 2019

Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface.
Front. Comput. Neurosci., 2019

Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior".
CoRR, 2019

Multi-Kernel Capsule Network for Schizophrenia Identification.
CoRR, 2019

One time is not enough: iterative tensor decomposition for neural network compression.
CoRR, 2019

An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.
Comp. Int. and Neurosc., 2019

A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals.
IEEE Access, 2019

Learning Efficient Tensor Representations with Ring-structured Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Structured Graph Learning and Unsupervised Feature Selection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Structured Graph Learning and Clustering Based on Concept Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
A Robust PCA Approach With Noise Structure Learning and Spatial-Spectral Low-Rank Modeling for Hyperspectral Image Restoration.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Towards correlation-based time window selection method for motor imagery BCIs.
Neural Networks, 2018

Fundamental tensor operations for large-scale data analysis using tensor network formats.
Multidim. Syst. Sign. Process., 2018

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Syst. Appl., 2018

Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison.
Entropy, 2018

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
CoRR, 2018

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization.
CoRR, 2018

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach.
Cognitive Computation, 2018

Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization.
IEEE Access, 2018

Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network.
IEEE Access, 2018

Learning Efficient Tensor Representations with Ring Structure Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Medical Image De-noising Using Deep Networks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Neural Mechanisms of Social Emotion Perception: An EEG Hyper-Scanning Study.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

Towards Robust Neuroadaptive HCI: Exploring Modern Machine Learning Methods to Estimate Mental Workload From EEG Signals.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Tensor Networks for Dimensionality Reduction, Big Data and Deep Learning.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

Task-Independent EEG Identification via Low-Rank Matrix Decomposition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Erratum: Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
Signal Processing Systems, 2017

Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria.
IEEE Trans. Signal Processing, 2017

Rate of Convergence of the FOCUSS Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2017

Canonical Polyadic Decomposition With Auxiliary Information for Brain-Computer Interface.
IEEE J. Biomedical and Health Informatics, 2017

Non-orthogonal tensor diagonalization.
Signal Processing, 2017

Numerical CP decomposition of some difficult tensors.
J. Computational Applied Mathematics, 2017

Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition.
Neurocomputing, 2017

Neural networks for computing best rank-one approximations of tensors and its applications.
Neurocomputing, 2017

Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG.
IEICE Transactions, 2017

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Foundations and Trends in Machine Learning, 2017

Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements.
Entropy, 2017

Error Preserving Correction for CPD and Bounded-Norm CPD.
CoRR, 2017

Best Rank-One Tensor Approximation and Parallel Update Algorithm for CPD.
CoRR, 2017

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017

Learning Efficient Tensor Representations with Ring Structure Networks.
CoRR, 2017

Continuous use of ERP-based BCIs with different visual angles in ALS patients.
CoRR, 2017

A new perspective of noise removal from EEG.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

A Graph Theory Analysis on Distinguishing EEG-Based Brain Death and Coma.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Partitioned Hierarchical alternating least squares algorithm for CP tensor decomposition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Under-Determined tensor diagonalization for decomposition of difficult tensors.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Smooth PARAFAC Decomposition for Tensor Completion.
IEEE Trans. Signal Processing, 2016

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Netw. Learning Syst., 2016

Bayesian Robust Tensor Factorization for Incomplete Multiway Data.
IEEE Trans. Neural Netw. Learning Syst., 2016

Sparse Bayesian Classification of EEG for Brain-Computer Interface.
IEEE Trans. Neural Netw. Learning Syst., 2016

Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications.
IEEE Trans. Neural Netw. Learning Syst., 2016

Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Processing, 2016

Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks.
IEEE Trans. Cognitive and Developmental Systems, 2016

Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition.
IEEE Signal Process. Lett., 2016

Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions.
SIAM J. Matrix Analysis Applications, 2016

Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proceedings of the IEEE, 2016

Biomedical Signal Processing: From a Conceptual Framework to Clinical Applications [Scanning the Issue].
Proceedings of the IEEE, 2016

Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing, 2016

Improved SFFS method for channel selection in motor imagery based BCI.
Neurocomputing, 2016

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Foundations and Trends in Machine Learning, 2016

Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI.
Front. Comput. Neurosci., 2016

Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.
Front. Comput. Neurosci., 2016

Tensor Ring Decomposition.
CoRR, 2016

Numerical CP Decomposition of Some Difficult Tensors.
CoRR, 2016

Optimized motor imagery paradigm based on imagining Chinese characters writing movement.
CoRR, 2016

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition.
CoRR, 2016

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Motor Priming as a Brain-Computer Interface.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Dynamic MEMD Associated with Approximate Entropy in Patients' Consciousness Evaluation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Video denoising using low rank tensor decomposition.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tensor completion via functional smooth component deflation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Rank-one tensor injection: A novel method for canonical polyadic tensor decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Bayesian CP factorization of incomplete tensor for EEG signal application.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Common and Discriminative Subspace Kernel-Based Multiblock Tensor Partial Least Squares Regression.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Tensor Deflation for CANDECOMP/PARAFAC - Part II: Initialization and Error Analysis.
IEEE Trans. Signal Processing, 2015

Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm.
IEEE Trans. Signal Processing, 2015

Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections.
IEEE Trans. Signal Processing, 2015

Convergence Analysis of the FOCUSS Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2015

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness.
IEEE Trans. Image Processing, 2015

Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback.
IEEE Trans. Biomed. Engineering, 2015

A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control.
IEEE Trans. Biomed. Engineering, 2015

A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015

Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization.
IEEE Signal Process. Lett., 2015

Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis.
Signal Processing, 2015

Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format.
SIAM J. Matrix Analysis Applications, 2015

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Feature learning from incomplete EEG with denoising autoencoder.
Neurocomputing, 2015

A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm.
Int. J. Neural Syst., 2015

Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences.
Entropy, 2015

Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data.
CoRR, 2015

Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion.
CoRR, 2015

Smooth PARAFAC Decomposition for Tensor Completion.
CoRR, 2015

Tensor Deflation for CANDECOMP/PARAFAC. Part 3: Rank Splitting.
CoRR, 2015

Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions.
CoRR, 2015

A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
CoRR, 2015

EEG Correlates of Voice and Face Emotional Judgments in the Human Brain.
Cognitive Computation, 2015

Brain-Robot Interfaces Using Spatial Tactile BCI Paradigms - Symbiotic Brain-Robot Applications.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

Common components analysis via linked blind source separation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Low rank tensor deconvolution.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Rank Splitting for CANDECOMP/PARAFAC.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Two-sided diagonalization of order-three tensors.
Proceedings of the 23rd European Signal Processing Conference, 2015

Epileptic EEG visualization and sonification based on linear discriminate analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Prediction of online game performance degradation under network impairments.
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015

A fast automatic low-rank determination algorithm for noisy matrix completion.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

Multi-tensor Completion with Common Structures.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Bimodal BCI Using Simultaneously NIRS and EEG.
IEEE Trans. Biomed. Engineering, 2014

GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control.
IEEE Trans. Biomed. Engineering, 2014

Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective.
IEEE Signal Process. Mag., 2014

Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition.
Neurocomputing, 2014

Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface.
Int. J. Neural Syst., 2014

Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis.
Int. J. Neural Syst., 2014

An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions.
Int. J. Neural Syst., 2014

Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials.
Int. J. Neural Syst., 2014

Cyborg Intelligence: Towards Bio-Machine Intelligent Systems.
IEEE Intelligent Systems, 2014

Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness.
CoRR, 2014

Decomposition of Big Tensors With Low Multilinear Rank.
CoRR, 2014

Robust Bayesian Tensor Factorization for Incomplete Multiway Data.
CoRR, 2014

Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination.
CoRR, 2014

Tensor diagonalization - a new tool for PARAFAC and block-term decomposition.
CoRR, 2014

Feature Learning from Incomplete EEG with Denoising Autoencoder.
CoRR, 2014

Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface.
CoRR, 2014

Multi-tensor Completion for Estimating Missing Values in Video Data.
CoRR, 2014

Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats.
CoRR, 2014

Very Large-Scale Singular Value Decomposition Using Tensor Train Networks.
CoRR, 2014

Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis.
CoRR, 2014

Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences.
CoRR, 2014

Tensor Networks for Big Data Analytics and Large-Scale Optimization Problems.
CoRR, 2014

Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions.
CoRR, 2014

Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections.
CoRR, 2014

Multilinear tensor rank estimation via Sparse Tucker Decomposition.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Multi-tensor completion for estimating missing values in video data.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Hybrid-BCI: Classification of auditory and visual related potentials.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Nonnegative Shifted Tensor Factorization in time frequency domain.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Linked Tucker2 Decomposition for Flexible Multi-block Data Analysis.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Tensor-variate Gaussian processes regression and its application to video surveillance.
Proceedings of the IEEE International Conference on Acoustics, 2014

Deflation method for CANDECOMP/PARAFAC tensor decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2014

On Fast algorithms for orthogonal Tucker decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Synchrony analysis of paroxysmal gamma waves in meditation EEG.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

Extracting commuting patterns in railway networks through matrix decompositions.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Predicting traffic speed in urban transportation subnetworks for multiple horizons.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Revising algorithm for nonnegative matrix factorization based on minimizing quasi-L1 norm.
Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

2013
Multidimensional compressed sensing and their applications.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2013

CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping.
IEEE Trans. Signal Processing, 2013

Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations.
IEEE Trans. Signal Processing, 2013

Accelerated Canonical Polyadic Decomposition Using Mode Reduction.
IEEE Trans. Neural Netw. Learning Syst., 2013

Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions.
IEEE J. Biomedical and Health Informatics, 2013

Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013

Advances in Electroencephalography Signal Processing [Life Sciences].
IEEE Signal Process. Mag., 2013

A Two-Stage MMSE Beamformer for Underdetermined Signal Separation.
IEEE Signal Process. Lett., 2013

Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC.
SIAM J. Matrix Analysis Applications, 2013

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases.
Neural Computation, 2013

Multi-Domain Feature Extraction for Small Event-Related potentials through Nonnegative Multi-Way Array Decomposition from Low Dense Array EEG.
Int. J. Neural Syst., 2013

Non-Linear Canonical Correlation Analysis Using Alpha-Beta Divergence.
Entropy, 2013

Tensor Decompositions: A New Concept in Brain Data Analysis?
CoRR, 2013

Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image.
Biomed. Signal Proc. and Control, 2013

EOG/ERP hybrid human-machine interface for robot control.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Spectral Power Estimation for Unevenly Spaced Motor Imagery Data.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Privacy-protecting index for outsourced databases.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Kernel-based tensor partial least squares for reconstruction of limb movements.
Proceedings of the IEEE International Conference on Acoustics, 2013

A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013

From basis components to complex structural patterns.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tensor completion throughmultiple Kronecker product decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013

A greedy algorithm for model selection of tensor decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2013

GNMF with Newton-Based Methods.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles.
Proceedings of the 21st European Signal Processing Conference, 2013

Common spatial patterns for steady-state somatosensory evoked potentials.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Differences of Functional Connectivity Brain Network in Emotional Judgment.
Proceedings of the BIOSIGNALS 2013, 2013

Patients' consciousness analysis using dynamic approximate entropy and MEMD method.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation.
IEEE Trans. Signal Processing, 2012

Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface.
IEEE Trans. Biomed. Engineering, 2012

Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation.
IEEE Signal Process. Lett., 2012

Quantifying Statistical Interdependence, Part III: N > 2 Point Processes.
Neural Computation, 2012

Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations - A novel recursive solution for nonnegative quadratic programming and NTF.
Neural Computing and Applications, 2012

Benefits of Multi-Domain Feature of mismatch Negativity Extracted by Non-Negative Tensor Factorization from EEG Collected by Low-Density Array.
Int. J. Neural Syst., 2012

Common and Individual Features Analysis: Beyond Canonical Correlation Analysis
CoRR, 2012

CANDECOMP/PARAFAC Decomposition of High-order Tensors Through Tensor Reshaping
CoRR, 2012

Accelerated Canonical Polyadic Decomposition by Using Mode Reduction
CoRR, 2012

Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
CoRR, 2012

Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC
CoRR, 2012

On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms
CoRR, 2012

Sequential nonnegative tucker decomposition on multi-way array of time-frequency transformed event-related potentials.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Non-linear filter based outer product expansion with reference signal for EEG analysis.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Early Alzheimer's Disease Progression Detection using Multi-subnetworks of the Brain.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

EEG Beta Range Dynamics and Emotional Judgments of Face and Voices.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Low-rank blind nonnegative matrix deconvolution.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Tensor classification for P300-based brain computer interface.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Regularization using geometric information between sensors capturing features from brain signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Multi-channel EEG compression based on 3D decompositions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Block sparse representations of tensors using Kronecker bases.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A treatment of EEG data by underdetermined blind source separation for motor imagery classification.
Proceedings of the 20th European Signal Processing Conference, 2012

Inpainting color images in learned dictionary.
Proceedings of the 20th European Signal Processing Conference, 2012

Analysis of ongoing EEG elicited by natural music stimuli using nonnegative tensor factorization.
Proceedings of the 20th European Signal Processing Conference, 2012

Fast and effective model order selection method to determine the number of sources in a linear transformation model.
Proceedings of the 20th European Signal Processing Conference, 2012

Diagnosis of Alzheimer's disease from EEG by means of synchrony measures in optimized frequency bands.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Canonical Polyadic Decomposition: From 3-way to N-Way.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

Higher-order PLS for classification of ERPs with application to BCIs.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering.
IEEE Trans. Neural Networks, 2011

PARAFAC algorithms for large-scale problems.
Neurocomputing, 2011

Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification.
Neurocomputing, 2011

Comment on "Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition".
Neurocomputing, 2011

Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization.
Entropy, 2011

Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing.
Comp. Int. and Neurosc., 2011

Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms.
Computers in Human Behavior, 2011

Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach.
AI Soc., 2011

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Inferring Brain Networks through Graphical Models with Hidden Variables.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Advances in content transformation in heterogeneous tactical wireless networks.
Proceedings of the MILCOM 2011, 2011

Concatenation Method for High-temporal Resolution SSVEP-BCI.
Proceedings of the NCTA 2011, 2011

Neurodynamics of Emotional Judgments in the Human Brain.
Proceedings of the NCTA 2011, 2011

Application of Multivariate Empirical Mode Decomposition for Cleaning Eye Blinks Artifacts from EEG Signals.
Proceedings of the NCTA 2011, 2011

Analysis of environmental electromagnetic signal using nonnegative Matrix Factorization minimizing quasi-L1 norm.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Two Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Fast damped gauss-newton algorithm for sparse and nonnegative tensor factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Novel hierarchical ALS algorithm for nonnegative tensor factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-channel EEG compression based on matrix and tensor decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2011

A saccade-related noise reduction in EEG signals using outer product expansion with reference signal.
Proceedings of the 19th European Signal Processing Conference, 2011

Information theory related learning.
Proceedings of the ESANN 2011, 2011

EEG auditory steady state responses classification for the novel BCI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Blind extraction of global signal from multi-channel noisy observations.
IEEE Trans. Neural Networks, 2010

Guest Editorial Special Section on Blind Signal Processing and Its Applications.
IEEE Trans. on Circuits and Systems, 2010

Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics.
IEEE Trans. on Circuits and Systems, 2010

Detecting the Number of Clusters in n-Way Probabilistic Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG.
NeuroImage, 2010

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis.
Journal of Circuits, Systems, and Computers, 2010

Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities.
Entropy, 2010

Signal Processing for Neural Spike Trains.
Comp. Int. and Neurosc., 2010

Damped Newton Iterations for Nonnegative Matrix Factorization.
Austr. J. Intelligent Information Processing Systems, 2010

Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation.
Austr. J. Intelligent Information Processing Systems, 2010

Nonnegative DEDICOM Based On Tensor Decompositions for Social Networks Exploration.
Austr. J. Intelligent Information Processing Systems, 2010

Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials.
Proceedings of the Advances in Neural Networks, 2010

Reduction of broadband noise in speech signals by multilinear subspace analysis.
Proceedings of the INTERSPEECH 2010, 2010

Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials.
Proceedings of the International Joint Conference on Neural Networks, 2010

Tensor Based Simultaneous Feature Extraction and Sample Weighting for EEG Classification.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Separation of EOG artifacts from EEG signals using bivariate EMD.
Proceedings of the IEEE International Conference on Acoustics, 2010

Quantifying EEG synchrony using copulas.
Proceedings of the IEEE International Conference on Acoustics, 2010

Sequential Coordinate-Wise DNMF for Face Recognition.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Nonlinear Band Expansion and 3D Nonnegative Tensor Factorization for Blind Decomposition of Magnetic Resonance Image of the Brain.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Classifying Healthy Children and Children with Attention Deficit through Features Derived from Sparse and Nonnegative Tensor Factorization Using Event-Related Potential.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

EOG-related noise rejection in EEG signal with eye movement task by tensor product expansion with absolute error.
Proceedings of the 18th European Signal Processing Conference, 2010

Sparse Bump Modeling of mildAD Patients - Modeling Transient Oscillations in the EEG of Patients with Mild Alzheimer's Disease.
Proceedings of the BIOSIGNALS 2010, 2010

ICA Cleaning Procedure for EEG Signals Analysis - Application to Alzheimer's Disease Detection.
Proceedings of the BIOSIGNALS 2010, 2010

2009
A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance.
IEEE Trans. Signal Processing, 2009

Improved FOCUSS Method With Conjugate Gradient Iterations.
IEEE Trans. Signal Processing, 2009

K-hyperline clustering learning for sparse component analysis.
Signal Processing, 2009

Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes.
Neural Computation, 2009

Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes.
Neural Computation, 2009

Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP.
Neural Computation, 2009

Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus.
Neurocomputing, 2009

Kernel nonnegative matrix factorization for spectral EEG feature extraction.
Neurocomputing, 2009

Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations.
IEICE Transactions, 2009

NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity.
Comp. Int. and Neurosc., 2009

Blind Source Extraction using Spatio-temporal Inverse Filter.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Local Learning Rules for Nonnegative Tucker Decomposition.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Advances in PARAFAC Using Parallel Block Decomposition.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Multilinear generalization of Common Spatial Pattern.
Proceedings of the IEEE International Conference on Acoustics, 2009

Multichannel spectral pattern separation - An EEG processing application -.
Proceedings of the IEEE International Conference on Acoustics, 2009

Implementation of matrix factorization based on minimizing quasi-absolute distance for electromagnetic global signal elimination.
Proceedings of the 17th European Signal Processing Conference, 2009

Coherency and Sharpness Measures by using ICA Algorithms - An Investigation for Alzheimer's Disease Discrimination.
Proceedings of the BIOSIGNALS 2009, 2009

Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation.
Wiley, ISBN: 978-0-470-74727-8, 2009

2008
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals.
IEEE Trans. Signal Processing, 2008

Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation.
IEEE Trans. Neural Networks, 2008

Non-negative matrix factorization with alpha-divergence.
Pattern Recognition Letters, 2008

A new nonlinear similarity measure for multichannel signals.
Neural Networks, 2008

A Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations.
Neural Computation, 2008

Introduction to the Issue on fMRI Analysis for Human Brain Mapping.
J. Sel. Topics Signal Processing, 2008

Nonnegative matrix factorization with quadratic programming.
Neurocomputing, 2008

Sparse blind identification and separation by using adaptive K-orthodrome clustering.
Neurocomputing, 2008

Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis.
IEICE Transactions, 2008

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions.
IEEE Computer, 2008

Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems.
Comp. Int. and Neurosc., 2008

Advances in Nonnegative Matrix and Tensor Factorization.
Comp. Int. and Neurosc., 2008

Split-test Bonferroni correction for QEEG statistical maps.
Biological Cybernetics, 2008

EEG Classification of Mild and Severe Alzheimer's Disease Using Parallel Factor Analysis Method.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

Fast and Efficient Algorithms for Nonnegative Tucker Decomposition.
Proceedings of the Advances in Neural Networks, 2008

CG-M-FOCUSS and Its Application to Distributed Compressed Sensing.
Proceedings of the Advances in Neural Networks, 2008

Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Incremental Common Spatial Pattern algorithm for BCI.
Proceedings of the International Joint Conference on Neural Networks, 2008

Single-class SVM classifier for localization of epileptic focus on the basis of EEG.
Proceedings of the International Joint Conference on Neural Networks, 2008

Improvement of Earthquake Prediction by using Global Signal Elimination from Environmental Electromagnetic Signals.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Control of a Wheelchair by Motor Imagery in Real Time.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz).
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Improved Sparse Bump Modeling for Electrophysiological Data.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Improving the Quality of EEG Data in Patients with Alzheimer's Disease Using ICA.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On Similarity Measures for Spike Trains.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Nonnegative Tucker decomposition with alpha-divergence.
Proceedings of the IEEE International Conference on Acoustics, 2008

On the synchrony of empirical mode decompositions with application to electroencephalography.
Proceedings of the IEEE International Conference on Acoustics, 2008

Fast Multi-command SSVEP Brain Machine Interface without Training.
Proceedings of the Artificial Neural Networks, 2008

When is non-negative matrix decomposition unique?
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
VLSI Signal Processing, 2007

Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals.
IEEE Trans. Signal Processing, 2007

Analysis and Online Realization of the CCA Approach for Blind Source Separation.
IEEE Trans. Neural Networks, 2007

Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation.
IEEE Trans. Audio, Speech & Language Processing, 2007

Nonnegative matrix factorization with constrained second-order optimization.
Signal Processing, 2007

Bayesian estimation of the number of principal components.
Signal Processing, 2007

Nonnegative Tensor Factorization for Continuous EEG Classification.
Int. J. Neural Syst., 2007

Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches.
Int. J. Neural Syst., 2007

Robust Sparse Component Analysis Based on a Generalized Hough Transform.
EURASIP J. Adv. Sig. Proc., 2007

Advances in Blind Source Separation.
EURASIP J. Adv. Sig. Proc., 2007

Algorithms with high order convergence speed for blind source extraction.
Comp. Opt. and Appl., 2007

Novel Features for Brain-Computer Interfaces.
Comp. Int. and Neurosc., 2007

Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm.
Comp. Int. and Neurosc., 2007

EEG/MEG Signal Processing.
Comp. Int. and Neurosc., 2007

Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans.
Comp. Int. and Neurosc., 2007

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications.
Comp. Int. and Neurosc., 2007

Event-driven Video Awareness Providing Physical Security.
World Wide Web, 2007

Measuring Neural Synchrony by Message Passing.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

An Efficient K -Hyperplane Clustering Algorithm and Its Application to Sparse Component Analysis.
Proceedings of the Advances in Neural Networks, 2007

Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization.
Proceedings of the Advances in Neural Networks, 2007

A New Nonlinear Similarity Measure for Multichannel Biological Signals.
Proceedings of the International Joint Conference on Neural Networks, 2007

Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Sparse Super Symmetric Tensor Factorization.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

EEG Windowed Statisticalwavelet Deviation for Estimation of Muscular Artifacts.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Novel Measure for Synchrony and its Application to Neural Signals.
Proceedings of the IEEE International Conference on Acoustics, 2007

Non-Negative Tensor Factorization using Alpha and Beta Divergences.
Proceedings of the IEEE International Conference on Acoustics, 2007

Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Applying Non-negative Matrix Factorization for global signal elimination from electromagnetic signals.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Underdetermined blind source separation based on sparse representation.
IEEE Trans. Signal Processing, 2006

Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals.
IEEE Trans. Signal Processing, 2006

Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach.
IEEE Trans. Neural Networks, 2006

Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation.
IEEE Trans. Information Theory, 2006

Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures.
IEEE Trans. on Circuits and Systems, 2006

A near real-time approach for convolutive blind source separation.
IEEE Trans. on Circuits and Systems, 2006

Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis.
IEEE Trans. Biomed. Engineering, 2006

Constrained Projection Approximation Algorithms for Principal Component Analysis.
Neural Processing Letters, 2006

From Events to Awareness.
Proceedings of the 2006 IEEE Services Computing Workshops (SCW 2006), 2006

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Visualization of Dynamic Brain Activities Based on the Single-Trial MEG and EEG Data Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Blind source extraction of instantaneous noisy mixtures using a linear predictor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

An analysis of the CCA approach for blind source separation and its adaptive realization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

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.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

K-Hyperplanes Clustering and Its Application to Sparse Component Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

On-Line K-PLANE Clustering Learning Algorithm for Sparse Comopnent Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Iterative Projection Approximation Algorithms for PCA.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Constrained non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer Disease.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Nonnegative Matrix Factorization for Motor Imagery EEG Classification.
Proceedings of the Artificial Neural Networks, 2006

Non-negative Matrix Factorization with Quasi-Newton Optimization.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Extended SMART Algorithms for Non-negative Matrix Factorization .
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Global Noise Elimination from ELF Band Electromagnetic Signals by Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

K-EVD Clustering and Its Applications to Sparse Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Bayesian estimation of the number of principal components.
Proceedings of the 14th European Signal Processing Conference, 2006

Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis.
Proceedings of the 14th European Signal Processing Conference, 2006

Awareness-Enabled Coordination for Large Scale Collaboration Management.
Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006

Awareness-based Collaboration Driving Process-based Coordination.
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

2005
Sparse component analysis and blind source separation of underdetermined mixtures.
IEEE Trans. Neural Networks, 2005

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement.
IEEE Trans. Speech and Audio Processing, 2005

Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain.
Int. J. Pervasive Computing and Communications, 2005

Awareness-Enabled Coordination.
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005

ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A class of novel blind source extraction algorithms based on a linear predictor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition.
IEEE Trans. Signal Processing, 2004

Self-adaptive blind source separation based on activation functions adaptation.
IEEE Trans. Neural Networks, 2004

Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004

From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability.
IEEE Trans. Neural Networks, 2004

Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels.
IEEE Trans. on Circuits and Systems, 2004

Blind source estimation of FIR channels for binary sources: a grouping decision approach.
Signal Processing, 2004

Analysis of Sparse Representation and Blind Source Separation.
Neural Computation, 2004

Providing Transactional Properties for Migrating Workflows.
MONET, 2004

Sparse component analysis of overcomplete mixtures by improved basis pursuit method.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Beyond ICA: robust sparse signal representations.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Blind Extraction of Sparse Images from under-determined Mixtures.
Proceedings of the International Conference on Computer Vision and Graphics, 2004

Subband decomposition independent component analysis and new performance criteria.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Blind source separation and sparse component analysis of overcomplete mixtures.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Thin QR and SVD factorizations for simultaneous blind signal extraction.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform.
Proceedings of the ESANN 2004, 2004

2003
A robust approach to independent component analysis of signals with high-level noise measurements.
IEEE Trans. Neural Networks, 2003

Wavelet-Like Receptive Fields Emerges by Non-Linear Minimization of Neuron Error.
Int. J. Neural Syst., 2003

Second-order statistics based blind source separation using a bank of subband filters.
Digital Signal Processing, 2003

An on-line algorithm for blind source extraction based on nonlinear prediction approach.
Proceedings of the NNSP 2003, 2003

Sparse Representation and Its Applications in Blind Source Separation.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Independent Residual Analysis for Temporally Correlated Signals.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Sparse representation of images using alternating linear programming.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Blind deconvolution of FIR channels with binary sources: a grouping decision approach.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Second Order Nonstationary Source Separation.
VLSI Signal Processing, 2002

Equivariant nonstationary source separation.
Neural Networks, 2002

Process-Based E-Service Composition for Modeling and Automating Zero Latency Supply Chains.
Information Systems Frontiers, 2002

Robust blind source separation algorithms using cumulants.
Neurocomputing, 2002

Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization.
Neurocomputing, 2002

Awareness Provisioning in Collaboration Management.
Int. J. Cooperative Inf. Syst., 2002

Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis.
Biological Cybernetics, 2002

Neural Coding by Redundancy Reduction and Correlation.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Blind signal extraction of signals with specified frequency band.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Blind identification problems with constraints.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Advanced Process-Based Component Integration in Telcordia's Cable OSS.
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Robust blind source separation and dispersing algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2002

Robust Blind Source Separation Utilizing Second and Fourth Order Statistics.
Proceedings of the Artificial Neural Networks, 2002

Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications.
Wiley, ISBN: 978-0-471-60791-5, 2002

2001
Noise reduction in brain evoked potentials based on third-order correlations.
IEEE Trans. Biomed. Engineering, 2001

Semiparametric model and superefficiency in blind deconvolution.
Signal Processing, 2001

Extraction of Specific Signals with Temporal Structure.
Neural Computation, 2001

Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression.
Neural Computing and Applications, 2001

Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal.
Digital Signal Processing, 2001

Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Blind source separation via symmetric eigenvalue decomposition.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Correlation matching approach to source separation in the presence of spatially correlated noise.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Application of time-frequency distributions to the independent component analysis of ECG signals.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter.
Proceedings of the IEEE International Conference on Acoustics, 2001

Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Flexible Independent Component Analysis.
VLSI Signal Processing, 2000

An iterative inversion approach to blind source separation.
IEEE Trans. Neural Netw. Learning Syst., 2000

On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics.
Neural Processing Letters, 2000

Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation.
Neural Computation, 2000

Process-based e-service integration.
Proceedings of the Workshop on Technologies for E-Services, 2000

Extraction of Statistically Dependent Sources with Temporal Structure.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

The Collaboration Management Infrastructure.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Managing Escalation of Collaboration Processes in Crisis Mitigation Situations.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Novel blind source separation algorithms using cumulants.
Proceedings of the IEEE International Conference on Acoustics, 2000

Local stability analysis of flexible independent component analysis algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2000

Modeling and Composing Service-Based nd Reference Process-Based Multi-enterprise Processes.
Proceedings of the Advanced Information Systems Engineering, 2000

Process-Based Service Integration for Zero Latency Supply Chains in Virtual Enterprises.
Proceedings of the 2000 Academia / Industry Working Conference on Research Challenges (AIWoRC 2000), 2000

1999
Self-whitening algorithms for adaptive equalization and deconvolution.
IEEE Trans. Signal Processing, 1999

Natural gradient algorithm for blind separation of overdetermined mixture with additive noise.
IEEE Signal Process. Lett., 1999

An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment.
Journal of Communications and Networks, 1999

Managing Process and Service Fusion in Virtual Enterprises.
Inf. Syst., 1999

Neural networks for blind separation with unknown number of sources.
Neurocomputing, 1999

Learning in dynamic neural networks using signal flow graphs.
I. J. Circuit Theory and Applications, 1999

Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Robust batch algorithm for sequential blind extraction of noisy biomedical signals.
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

Blind separation and filtering using state space models.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Providing Transactional Properties for Migrating Workflows.
Proceedings of the 10th International Workshop on Database & Expert Systems Applications, 1999

Providing Customized Process and Situation Awareness in the Collaboration Management Infrastructure.
Proceedings of the Fourth IFCIS International Conference on Cooperative Information Systems, 1999

1998
A common neural-network model for unsupervised exploratory data analysis and independent component analysis.
IEEE Trans. Neural Networks, 1998

Information-theoretic approach to blind separation of sources in non-linear mixture.
Signal Processing, 1998

A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals.
Neural Processing Letters, 1998

Robust techniques for independent component analysis (ICA) with noisy data.
Neurocomputing, 1998

A Fixed-Point Algorithm for Independent Component Analysis which uses a priori Information.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

Blind Separation of Filtered Sources Using State-Space Approach.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Two-stage Blind Deconvolution Using State-space Models.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Neural networks for blind decorrelation of signals.
IEEE Trans. Signal Processing, 1997

Neural Networks for Solving Linear Inequality Systems.
Parallel Computing, 1997

A Minor Component Analysis Algorithm.
Neural Networks, 1997

Stability Analysis of Learning Algorithms for Blind Source Separation.
Neural Networks, 1997

Blind Source Separation with Convolutive Noise Cancellation.
Neural Computing and Applications, 1997

On Neural Blind Separation with Noise Suppression and Redundancy Reduction.
Int. J. Neural Syst., 1997

Modified Herault-Jutten Algorithms for Blind Separation of Sources.
Digital Signal Processing, 1997


InfoSleuth: Semantic Integration of Information in Open and Dynamic Environments (Experience Paper).
Proceedings of the SIGMOD 1997, 1997

On-line Adaptive Algorithms for Blind Equalization of Multi-Channel Systems.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Natural Gradient Learning Algorithms for Decorrelation.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Blind Source Separation and Deconvolution of Fast Sampled Signals.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Non-Holonomic Constraints in Learning Blind Source Separation.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Information backpropagation for blind separation of sources in nonlinear mixture.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Dual cascade networks for blind signal extraction.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Blind extraction of source signals with specified stochastic features.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Robust PCA neural networks for random noise reduction of the data.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Rates of convergence of the recursive radial basis function networks.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals.
Proceedings of the Artificial Neural Networks, 1997

1996
Robust Image Association by Recurrent Neural Subnetworks.
Neural Processing Letters, 1996

Bounding the Effects of Compensation under Relaxed Multi-level Serializability.
Distributed and Parallel Databases, 1996

Hidden image separation from incomplete image mixtures by independent component analysis.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Adaptive neural networks for robust estimation of parameters of noisy harmonic signals.
Proceedings of the 8th European Signal Processing Conference, 1996

Neural network approach to blind separation and enhancement of images.
Proceedings of the 8th European Signal Processing Conference, 1996

Recurrent least square learning for quasi-parallel principal component analysis.
Proceedings of the ESANN 1996, 1996

A Database Environment for Workflow Specification and Execution.
Proceedings of the International Symposium on Cooperative Database Systems for Advanced Applications, 1996

1995
Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction.
Neurocomputing, 1995

A New Learning Algorithm for Blind Signal Separation.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Simplified neural networks for solving linear least squares and total least squares problems in real time.
IEEE Trans. Neural Networks, 1994

1993
Neural networks for optimization and signal processing.
Wiley, ISBN: 978-0-471-93010-5, 1993

1992
Towards a Model for Multidatabase Transactions.
Int. J. Cooperative Inf. Syst., 1992

Neural networks for computing eigenvalues and eigenvectors.
Biological Cybernetics, 1992

1991
Switched-capacitor neural networks for differential optimization.
I. J. Circuit Theory and Applications, 1991


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