Elmar Wolfgang Lang

According to our database1, Elmar Wolfgang Lang authored at least 144 papers between 1993 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A recognition-verification system for noisy faces based on an empirical mode decomposition with Green's functions.
Soft Comput., 2020

A Graph Neural Network Framework for Causal Inference in Brain Networks.
CoRR, 2020

Parameterized Reinforcement Learning for Optical System Optimization.
CoRR, 2020

Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps.
CoRR, 2020

2019
Electricity Load Forecasting - An Evaluation of Simple 1D-CNN Network Structures.
CoRR, 2019

Decomposing Temperature Time Series with Non-Negative Matrix Factorization.
CoRR, 2019

A constrained ICA-EMD Model for Group Level fMRI Analysis.
CoRR, 2019

Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Hybridizing EMD with cICA for fMRI Analysis of Patient Groups.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Mining EEG scalp maps of independent components related to HCT tasks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets.
Signal Process., 2018

2017
A multi-variate blind source separation algorithm.
Comput. Methods Programs Biomed., 2017

Do Museum Visitors See what Educators Want Them to See?
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Z-Images.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
A green's function-based Bi-dimensional empirical mode decomposition.
Inf. Sci., 2016

Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions.
Biomed. Signal Process. Control., 2016

A Nonnegative Tensor Factorization Approach for Three-Dimensional Binary Wafer-Test Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Building a FP-CIT SPECT Brain Template Using a Posterization Approach.
Neuroinformatics, 2015

A logistic non-negative matrix factorization approach to binary data sets.
Multidimens. Syst. Signal Process., 2015

A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images.
Proceedings of the VISAPP 2015, 2015

Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition.
Proceedings of the BIOSIGNALS 2015, 2015

2014
A Bayesian approach to the Lee-Seung update rules for NMF.
Pattern Recognit. Lett., 2014

A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection.
Neurocomputing, 2014

Physarum Learner: A bio-inspired way of learning structure from data.
Expert Syst. Appl., 2014

Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task.
Biomed. Signal Process. Control., 2014

Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images.
Adv. Data Sci. Adapt. Anal., 2014

Why Using the Alpha-stable Distribution in Neuroimage?.
Proceedings of the SIGMAP 2014, 2014

Combining EMD with ICA to Analyze Combined EEG-fMRI Data.
Proceedings of the Medical Image Understanding and Analysis, 2014

Affine registration of [123I]FP-CIT SPECT brain images.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

2013
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series.
Neural Process. Lett., 2013

Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution.
NeuroImage, 2013

Parameterization of the distribution of white and grey matter in MRI using the <i>α</i>α-stable distribution.
Comput. Biol. Medicine, 2013

Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals.
Proceedings of the BIOSIGNALS 2013, 2013

A New Physarum Learner for Network Structure Learning from Biomedical Data.
Proceedings of the BIOSIGNALS 2013, 2013

2012
On the empirical mode decomposition applied to the analysis of brain SPECT images.
Expert Syst. Appl., 2012

Brain Connectivity Analysis: A Short Survey.
Comput. Intell. Neurosci., 2012

Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging.
Artif. Intell. Medicine, 2012

SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Structure Learning for Bayesian Networks Using the Physarum Solver.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Unsupervised feature extraction via kernel subspace techniques.
Neurocomputing, 2011

Towards unique solutions of non-negative matrix factorization problems by a determinant criterion.
Digit. Signal Process., 2011

Weighted sliding Empirical Mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2011

KPCA vs. PCA Study for an Age Classification of Speakers.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Brain Status Data Analysis by Sliding EMD.
Proceedings of the New Challenges on Bioinspired Applications, 2011

Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series.
Proceedings of the Advances in Computational Intelligence, 2011

Bayesian Segmentation of Magnetic Resonance Images Using the <i>α</i>-Stable Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
A Nonnegative Blind Source Separation Model for Binary Test Data.
IEEE Trans. Circuits Syst. I Regul. Pap., 2010

Improved likelihood ratio test based voice activity detector applied to speech recognition.
Speech Commun., 2010

Empirical Mode Decomposition - an introduction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Brain status data analyzed by Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties.
Proceedings of the International Joint Conference on Neural Networks, 2010

Sliding Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Exploratory Matrix Factorization for PET Image Analysis.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Bayesian extensions of non-negative matrix factorization.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series.
IEEE Trans. Instrum. Meas., 2009

A Novel LMS Algorithm Applied to Adaptive Noise Cancellation.
IEEE Signal Process. Lett., 2009

Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica.
J. Biomed. Informatics, 2009

Serial Evolution.
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

BSS-Based Feature Extraction for Skin Lesion Image Classification.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Minimum Determinant Constraint for Non-negative Matrix Factorization.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Feature Extraction Using Linear and Non-linear Subspace Techniques.
Proceedings of the Artificial Neural Networks, 2009

2008
Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection.
IEEE Trans. Speech Audio Process., 2008

A robust model for spatiotemporal dependencies.
Neurocomputing, 2008

Hybridizing sparse component analysis with genetic algorithms for microarray analysis.
Neurocomputing, 2008

KPCA denoising and the pre-image problem revisited.
Digit. Signal Process., 2008

Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis.
BMC Bioinform., 2008

Knowledge-based gene expression classification via matrix factorization.
Bioinform., 2008

A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Feature Extraction Using Low-Rank Approximations of the Kernel Matrix.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data.
Proceedings of the Computational Science, 2008

Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis.
Proceedings of the Computational and Ambient Intelligence, 2007

Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Greedy KPCA in Biomedical Signal Processing.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints.
Proceedings of the Artificial Neural Networks, 2007

Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation.
IEEE Trans. Biomed. Eng., 2006

Median-based clustering for underdetermined blind signal processing.
IEEE Signal Process. Lett., 2006

Hard C-means clustering for voice activity detection.
Speech Commun., 2006

Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils.
Neurocomputing, 2006

Blind source separation and independent component analysis.
Neurocomputing, 2006

Denoising using local projective subspace methods.
Neurocomputing, 2006

Optimizing blind source separation with guided genetic algorithms.
Neurocomputing, 2006

Automatic removal of high-amplitude artefacts from single-channel electroencephalograms.
Comput. Methods Programs Biomed., 2006

Region of Interest Based Independent Component Analysis.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

C-Means Clustering Applied to Speech Discrimination.
Proceedings of the Computational Science, 2006

Independent Component Analysis Applied to Voice Activity Detection.
Proceedings of the Computational Science, 2006

Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Nonlinear projective techniques to extract artifacts in biomedical signals.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
dAMUSE - A new tool for denoising and blind source separation.
Digit. Signal Process., 2005

A New Approach to Clustering and Object Detection with Independent Component Analysis.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Extended Sparse Nonnegative Matrix Factorization.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Clustering of Signals Using Incomplete Independent Component Analysis.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Bispectrum-Based Statistical Tests for VAD.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

AutoAssign - An Automatic Assignment Tool for Independent Components.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Spatiotemporal blind source separation using double-sided approximate joint diagonalization.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
A neural implementation of the JADE algorithm (nJADE) using higher-order neurons.
Neurocomputing, 2004

A geometric algorithm for overcomplete linear ICA.
Neurocomputing, 2004

Modeling texture-constancy of cortical grating cells.
Neurocomputing, 2004

Hybrid SOM-SVM Algorithm for Real Time Series Forecasting.
Proceedings of the ICINCO 2004, 2004

Meta-heuristics hybridizing independent component analysis with genetic algorithms.
Proceedings of the 2004 11th IEEE International Conference on Electronics, 2004

Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Delayed AMUSE - A Tool for Blind Source Separation and Denoising.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

3D Spatial Analysis of fMRI Data on a Word Perception Task.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Linearization identification and an application to BSS using a SOM.
Proceedings of the ESANN 2004, 2004

Lattice ICA for the separation of speech signals.
Proceedings of the ESANN 2004, 2004

2003
Linear Geometric ICA: Fundamentals and Algorithms.
Neural Comput., 2003

Generalizing Geometric ICA to Nonlinear Settings.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

An Improved Geometric Overcomplete Blind Source Separation Algorithm.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A New Geometrical ICA-based Method for Blind Separation of Speech Signals.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Approximate diagonalization approach to blind source separation with a subset of matrices.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Neural network signal analysis in immunology.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Comparison of maximum entropy and minimal mutual information in a nonlinear setting.
Signal Process., 2002

Separation of sources using simulated annealing and competitive learning.
Neurocomputing, 2002

Overcomplete ICA with a Geometric Algorithm.
Proceedings of the Artificial Neural Networks, 2002

Geometric overcomplete ICA.
Proceedings of the ESANN 2002, 2002

How to generalize geometric ICA to higher dimensions.
Proceedings of the ESANN 2002, 2002

2001
A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Pattern Repulsion Revisited.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Can ICA Help Classify Skin Cancer and Benign Lesions?
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Analyzing Brain Tumor related EEG Signals with ICA Algorithms.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Neural Implementation of the JADE-Algorithm.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

A Network Model for the Emergence of Orientation Maps and Local Lateral Circuits.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

A Neural Network Model for the Self-Organization of the Cortical Grating Cells.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
A neural network model for the emergence of grating cells.
Biol. Cybern., 1998

1997
Statistics of Natural and Urban Images.
Proceedings of the Artificial Neural Networks, 1997

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17.
Proceedings of the Artificial Neural Networks, 1997

A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli.
Proceedings of the Artificial Neural Networks, 1997

1995
Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1993
Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks.
Biol. Cybern., 1993


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