Andrzej Cichocki
Orcid: 0000-0002-8364-7226Affiliations:
- Riken Brain Science Institute, Wako, Japan
- Polska Akademia, Warszawa, Poland
- Warsaw University of Technology, Poland
According to our database1,
Andrzej Cichocki
authored at least 595 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2013, "For contributions to applications of blind signal processing and artificial neural networks".
Timeline
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Online presence:
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Bibliography
2024
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection.
Adv. Comput. Math., April, 2024
A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes.
J. Sci. Comput., January, 2024
2023
Signal Process., December, 2023
Signal Process., November, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Ind. Informatics, July, 2023
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior.
IEEE Trans. Neural Networks Learn. Syst., 2022
S<sup>3</sup>LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Cybern., 2022
Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis.
IEEE Trans. Cogn. Dev. Syst., 2022
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput., 2022
Neural Networks, 2022
Appl. Soft Comput., 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory.
IEEE Trans. Neural Networks Learn. Syst., 2021
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas., 2021
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification.
Sensors, 2021
Multim. Tools Appl., 2021
Matrix and tensor completion using tensor ring decomposition with sparse representation.
Mach. Learn. Sci. Technol., 2021
Mach. Learn. Sci. Technol., 2021
IEEE J. Sel. Top. Signal Process., 2021
IEEE J. Sel. Top. Signal Process., 2021
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces.
Int. J. Neural Syst., 2021
The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm.
Int. J. Neural Syst., 2021
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI.
Int. J. Neural Syst., 2021
Frontiers Artif. Intell., 2021
CoRR, 2021
Comput. Intell. Neurosci., 2021
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles.
Comput. Intell. Neurosci., 2021
WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks.
IEEE Access, 2021
IEEE Access, 2021
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD).
IEEE Access, 2021
Proceedings of the 2021 IEEE Military Communications Conference, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2020
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2020
Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction.
IEEE Signal Process. Lett., 2020
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition.
Neural Comput. Appl., 2020
Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA.
Neurocomputing, 2020
On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face?
CoRR, 2020
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD).
CoRR, 2020
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput., 2020
Adv. Eng. Informatics, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Signal Process., 2019
IEEE J. Biomed. Health Informatics, 2019
IEEE Trans. Cybern., 2019
IEEE Trans. Cybern., 2019
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights].
IEEE Signal Process. Mag., 2019
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.
Sensors, 2019
Correlation-based channel selection and regularized feature optimization for MI-based BCI.
Neural Networks, 2019
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
Int. J. Neural Syst., 2019
Int. J. Data Min. Bioinform., 2019
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface.
Frontiers Comput. Neurosci., 2019
CoRR, 2019
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior".
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.
Comput. Intell. Neurosci., 2019
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals.
IEEE Access, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
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. Top. Appl. Earth Obs. Remote. Sens., 2018
Neural Networks, 2018
Fundamental tensor operations for large-scale data analysis using tensor network formats.
Multidimens. Syst. Signal 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
Cogn. Comput., 2018
Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization.
IEEE Access, 2018
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
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
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
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
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.
J. Signal Process. Syst., 2017
Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria.
IEEE Trans. Signal Process., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Canonical Polyadic Decomposition With Auxiliary Information for Brain-Computer Interface.
IEEE J. Biomed. Health Informatics, 2017
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 Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017
Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements.
Entropy, 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017
CoRR, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
IEEE Trans. Signal Process., 2016
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2016
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements.
IEEE Trans. Image Process., 2016
IEEE Trans. Cogn. Dev. Syst., 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 Anal. Appl., 2016
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proc. IEEE, 2016
Biomedical Signal Processing: From a Conceptual Framework to Clinical Applications [Scanning the Issue].
Proc. IEEE, 2016
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing, 2016
Neurocomputing, 2016
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016
Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI.
Frontiers Comput. Neurosci., 2016
Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.
Frontiers Comput. Neurosci., 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
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
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
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
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
IEEE Trans. Signal Process., 2015
Tensor Deflation for CANDECOMP/PARAFAC - Part I: Alternating Subspace Update Algorithm.
IEEE Trans. Signal Process., 2015
Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections.
IEEE Trans. Signal Process., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Image Process., 2015
IEEE Trans. Biomed. Eng., 2015
A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control.
IEEE Trans. Biomed. Eng., 2015
A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures.
IEEE ACM Trans. Audio Speech Lang. Process., 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 Process., 2015
Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format.
SIAM J. Matrix Anal. Appl., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Neurocomputing, 2015
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm.
Int. J. Neural Syst., 2015
Entropy, 2015
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
Cogn. Comput., 2015
Brain-Robot Interfaces Using Spatial Tactile BCI Paradigms - Symbiotic Brain-Robot Applications.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015
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.
WIREs Data Mining Knowl. Discov., 2014
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control.
IEEE Trans. Biomed. Eng., 2014
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
IEEE Intell. Syst., 2014
CoRR, 2014
Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface.
CoRR, 2014
CoRR, 2014
CoRR, 2014
CoRR, 2014
Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions.
CoRR, 2014
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
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
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
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
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
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
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
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
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
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
WIREs Data Mining Knowl. Discov., 2013
IEEE Trans. Signal Process., 2013
Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations.
IEEE Trans. Signal Process., 2013
IEEE Trans. Neural Networks Learn. Syst., 2013
Near-Lossless Multichannel EEG Compression Based on Matrix and Tensor Decompositions.
IEEE J. Biomed. Health Informatics, 2013
Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data.
IEEE Signal Process. Mag., 2013
IEEE Signal Process. Mag., 2013
IEEE Signal Process. Lett., 2013
SIAM J. Matrix Anal. Appl., 2013
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Neural Comput., 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
Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image.
Biomed. Signal Process. Control., 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
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
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
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
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
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
IEEE Trans. Signal Process., 2012
IEEE Trans. Biomed. Eng., 2012
IEEE Signal Process. Lett., 2012
Neural Comput., 2012
Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations - A novel recursive solution for nonnegative quadratic programming and NTF.
Neural Comput. Appl., 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
CoRR, 2012
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
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
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
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
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
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
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
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012
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
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.
Comput. Intell. Neurosci., 2011
Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms.
Comput. Hum. Behav., 2011
Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach.
AI Soc., 2011
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
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
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
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
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
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
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
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
IEEE Trans. Neural Networks, 2010
IEEE Trans. Circuits Syst. I Regul. Pap., 2010
IEEE Trans. Circuits Syst. I Regul. Pap., 2010
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.
J. Circuits Syst. Comput., 2010
Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities.
Entropy, 2010
Aust. J. Intell. Inf. Process. Syst., 2010
Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation.
Aust. J. Intell. Inf. Process. Syst., 2010
Aust. J. Intell. Inf. Process. Syst., 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
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
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
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 Process., 2009
IEEE Trans. Signal Process., 2009
Quantifying Statistical Interdependence by Message Passing on Graphs - Part II: Multidimensional Point Processes.
Neural Comput., 2009
Quantifying Statistical Interdependence by Message Passing on Graphs - Part I: One-Dimensional Point Processes.
Neural Comput., 2009
Neural Comput., 2009
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus.
Neurocomputing, 2009
Neurocomputing, 2009
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009
NeuroMath: Advanced Methods for the Estimation of Human Brain Activity and Connectivity.
Comput. Intell. Neurosci., 2009
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
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
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 Process., 2008
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation.
IEEE Trans. Neural Networks, 2008
IEEE Signal Process. Mag., 2008
Pattern Recognit. Lett., 2008
Neural Comput., 2008
IEEE J. Sel. Top. Signal Process., 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 Trans. Fundam. Electron. Commun. Comput. Sci., 2008
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems.
Comput. Intell. Neurosci., 2008
Comput. Intell. Neurosci., 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
Proceedings of the Advances in Neural Networks, 2008
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
Proceedings of the International Joint Conference on Neural Networks, 2008
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
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
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
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
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
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
Proceedings of the Artificial Neural Networks, 2008
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
Proceedings of the 46th Annual Allerton Conference on Communication, 2008
2007
Non-negative Matrix Factorization with Orthogonality Constraints and its Application to Raman Spectroscopy.
J. VLSI Signal Process., 2007
Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals.
IEEE Trans. Signal Process., 2007
IEEE Trans. Neural Networks, 2007
Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation.
IEEE Trans. Speech Audio Process., 2007
Signal Process., 2007
Int. J. Neural Syst., 2007
Int. J. Neural Syst., 2007
EURASIP J. Adv. Signal Process., 2007
Comput. Optim. Appl., 2007
Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm.
Comput. Intell. Neurosci., 2007
Statistical Modeling and Analysis of Laser-Evoked Potentials of Electrocorticogram Recordings from Awake Humans.
Comput. Intell. Neurosci., 2007
Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications.
Comput. Intell. Neurosci., 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
An Efficient <i>K</i> -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
Proceedings of the International Joint Conference on Neural Networks, 2007
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
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the 15th International Conference on Digital Signal Processing, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
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
IEEE Trans. Signal Process., 2006
Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals.
IEEE Trans. Signal Process., 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. Inf. Theory, 2006
IEEE Trans. Circuits Syst. II Express Briefs, 2006
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis.
IEEE Trans. Biomed. Eng., 2006
Neural Process. Lett., 2006
Proceedings of the 2006 IEEE Services Computing Workshops (SCW 2006), 2006
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
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
Proceedings of the Neural Information Processing, 13th International Conference, 2006
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
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
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
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
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
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
Global signal elimination from ELF band electromagnetic signals by Independent Component Analysis.
Proceedings of the 14th European Signal Processing Conference, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 2006 International Symposium on Collaborative Technologies and Systems, 2006
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006
2005
IEEE Trans. Neural Networks, 2005
Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement.
IEEE Trans. Speech Audio Process., 2005
Blind source separation of acoustic signals in realistic environments based on ICA in the time-frequency domain.
Int. J. Pervasive Comput. Commun., 2005
Proceedings of the 2005 IEEE/IPSJ International Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 31 January, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
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 Process., 2004
IEEE Trans. Neural Networks, 2004
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. Circuits Syst. I Regul. Pap., 2004
Blind source estimation of FIR channels for binary sources: a grouping decision approach.
Signal Process., 2004
Mob. Networks Appl., 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
Proceedings of the International Conference on Computer Vision and Graphics, 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
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
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 12th European Symposium on Artificial Neural Networks, 2004
2003
A robust approach to independent component analysis of signals with high-level noise measurements.
IEEE Trans. Neural Networks, 2003
Int. J. Neural Syst., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
Second-order statistics based blind source separation using a bank of subband filters.
Digit. Signal Process., 2003
An on-line algorithm for blind source extraction based on nonlinear prediction approach.
Proceedings of the NNSP 2003, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
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
On a new blind signal extraction algorithm: different criteria and stability analysis.
IEEE Signal Process. Lett., 2002
Process-Based E-Service Composition for Modeling and Automating Zero Latency Supply Chains.
Inf. Syst. Frontiers, 2002
Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization.
Neurocomputing, 2002
Int. J. Cooperative Inf. Syst., 2002
Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis.
Biol. Cybern., 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002
Proceedings of the Artificial Neural Networks, 2002
Wiley, ISBN: 978-0-471-60791-5, 2002
2001
IEEE Trans. Biomed. Eng., 2001
Signal Process., 2001
Neural Comput. Appl., 2001
Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal.
Digit. Signal Process., 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
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
IEEE Trans. Neural Networks Learn. Syst., 2000
On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics.
Neural Process. Lett., 2000
Neural Comput., 2000
Process-based e-service integration.
Proceedings of the Workshop on Technologies for E-Services, 2000
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
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
IEEE Trans. Signal Process., 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.
J. Commun. Networks, 1999
Neurocomputing, 1999
Int. J. Circuit Theory Appl., 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
Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999
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 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
Signal Process., 1998
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals.
Neural Process. Lett., 1998
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
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
IEEE Trans. Signal Process., 1997
IEEE Signal Process. Mag., 1997
Neural Networks, 1997
Neural Comput. Appl., 1997
Int. J. Neural Syst., 1997
Digit. Signal Process., 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
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
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
Neural Process. Lett., 1996
Distributed 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
Proceedings of the 8th European Signal Processing Conference, 1996
Proceedings of the 4th European Symposium on Artificial Neural Networks, 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
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
1991
Int. J. Circuit Theory Appl., 1991