| A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions | 0 | 0.34 | 2020 |
| Mining Eeg Scalp Maps Of Independent Components Related To Hct Tasks | 0 | 0.34 | 2019 |
| A constrained ICA-EMD Model for Group Level fMRI Analysis. | 0 | 0.34 | 2019 |
| Decomposing Temperature Time Series with Non-Negative Matrix Factorization. | 0 | 0.34 | 2019 |
| Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets | 0 | 0.34 | 2019 |
| Hybridizing EMD with cICA for fMRI Analysis of Patient Groups | 0 | 0.34 | 2019 |
| A multi-variate blind source separation algorithm. | 0 | 0.34 | 2017 |
| Do Museum Visitors See what Educators Want Them to See? | 0 | 0.34 | 2017 |
| Z-Images. | 0 | 0.34 | 2017 |
| A green's function-based Bi-dimensional empirical mode decomposition. | 3 | 0.39 | 2016 |
| A Nonnegative Tensor Factorization Approach For Three-Dimensional Binary Wafer-Test Data | 0 | 0.34 | 2016 |
| Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. | 0 | 0.34 | 2016 |
| Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition. | 0 | 0.34 | 2015 |
| A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images. | 0 | 0.34 | 2015 |
| Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution. | 0 | 0.34 | 2015 |
| A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection. | 1 | 0.36 | 2014 |
| A Bayesian approach to the Lee-Seung update rules for NMF. | 5 | 0.40 | 2014 |
| Bidimensional Ensemble Empirical Mode Decomposition Of Functional Biomedical Images | 3 | 0.41 | 2014 |
| Why using the alpha-stable distribution in neuroimage? | 0 | 0.34 | 2014 |
| Combining EMD with ICA to Analyze Combined EEG-fMRI Data. | 0 | 0.34 | 2014 |
| Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. | 4 | 0.39 | 2014 |
| Physarum Learner: A bio-inspired way of learning structure from data. | 3 | 0.41 | 2014 |
| Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. | 4 | 0.44 | 2013 |
| A New Physarum Learner for Network Structure Learning from Biomedical Data. | 1 | 0.35 | 2013 |
| Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals. | 4 | 0.54 | 2013 |
| Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution. | 16 | 0.91 | 2013 |
| SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition. | 0 | 0.34 | 2012 |
| Weighted Sliding Empirical Mode Decomposition | 2 | 0.51 | 2011 |
| Sliding empirical mode decomposition for on-line analysis of biomedical time series | 0 | 0.34 | 2011 |
| Bayesian extensions of non-negative matrix factorization | 3 | 0.37 | 2010 |
| Sliding Empirical Mode Decomposition | 2 | 0.61 | 2010 |
| Brain status data analyzed by Empirical Mode Decomposition | 0 | 0.34 | 2010 |
| Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties | 0 | 0.34 | 2010 |
| Empirical Mode Decomposition - an introduction | 0 | 0.34 | 2010 |
| How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series | 13 | 1.51 | 2009 |
| Analyzing M-CSF dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis. | 34 | 0.59 | 2008 |
| KPCA denoising and the pre-image problem revisited | 20 | 0.89 | 2008 |
| A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals | 0 | 0.34 | 2008 |
| Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data | 20 | 1.54 | 2008 |
| Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images. | 2 | 0.41 | 2008 |
| A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis | 0 | 0.34 | 2008 |
| Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis | 6 | 0.73 | 2007 |
| Optimizing blind source separation with guided genetic algorithms | 2 | 0.39 | 2006 |
| Sparse nonnegative matrix factorization applied to microarray data sets | 3 | 0.46 | 2006 |
| Automatic removal of high-amplitude artefacts from single-channel electroencephalograms | 16 | 1.03 | 2006 |
| Bispectrum-based statistical tests for VAD | 0 | 0.34 | 2005 |
| SPATIOTEMPORAL BLIND SOURCE SEPARATION USING DOUBLE-SIDED APPROXIMATE JOINT DIAGONALIZATION | 7 | 0.68 | 2005 |
| Meta-heuristics hybridizing independent component analysis with genetic algorithms | 0 | 0.34 | 2004 |
| Hybrid SOM-SVM Algorithm for Real Time Series Forecasting | 0 | 0.34 | 2004 |
| Linearization identification and an application to BSS using a SOM | 1 | 0.38 | 2004 |
