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Elmar Wolfgang Lang
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2020 – today
- 2022
- [i8]Daniel Grünbaum, Maike Lorena Stern, Elmar Wolfgang Lang:
Quantitative probing: Validating causal models using quantitative domain knowledge. CoRR abs/2209.03013 (2022) - 2021
- [j53]Simon Wein
, Gustavo Deco, Ana Maria Tomé, Markus Goldhacker
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning. Comput. Intell. Neurosci. 2021: 5573740:1-5573740:31 (2021) - [j52]Martin Stetter
Learning Intuitive Physics and One-Shot Imitation Using State-Action-Prediction Self-Organizing Maps. Comput. Intell. Neurosci. 2021: 5590445:1-5590445:15 (2021) - [j51]M. Xarez, P. Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang:
Extracting control variables of casting processes with NMF and rule extraction. Expert Syst. Appl. 180: 115118 (2021) - [i7]Heribert Wankerl, Christopher Wiesmann, Laura Kreiner, Rainer Butendeich, Alexander Luce, Sandra Sobczyk, Maike Lorena Stern, Elmar Wolfgang Lang:
Playing Ping Pong with Light: Directional Emission of White Light. CoRR abs/2111.15486 (2021) - 2020
- [j50]Saad Al-Baddai, Pere Martí-Puig
A recognition-verification system for noisy faces based on an empirical mode decomposition with Green's functions. Soft Comput. 24(5): 3809-3827 (2020) - [i6]Martin Stetter, Elmar Wolfgang Lang:
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps. CoRR abs/2007.01647 (2020) - [i5]Heribert Wankerl, Maike Lorena Stern, Ali Mahdavi, Christoph Eichler, Elmar Wolfgang Lang:
Parameterized Reinforcement Learning for Optical System Optimization. CoRR abs/2010.05769 (2020) - [i4]Simon Wein, Wilhelm M. Malloni, Ana Maria Tomé, Sebastian M. Frank, Gina-Isabelle Henze, Stefan Wüst, Mark W. Greenlee, Elmar Wolfgang Lang:
A Graph Neural Network Framework for Causal Inference in Brain Networks. CoRR abs/2010.07143 (2020)
2010 – 2019
- 2019
- [c90]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
Hybridizing EMD with cICA for fMRI Analysis of Patient Groups. EMBC 2019: 194-197 - [c89]Ana R. Teixeira
Mining EEG scalp maps of independent components related to HCT tasks. EMBC 2019: 3888-3891 - [c88]Jonathan Kobold
Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets. IPTA 2019: 1-6 - [i3]Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
A constrained ICA-EMD Model for Group Level fMRI Analysis. CoRR abs/1903.09412 (2019) - [i2]Peter Weiderer, Ana Maria Tomé, Elmar Wolfgang Lang:
Decomposing Temperature Time Series with Non-Negative Matrix Factorization. CoRR abs/1904.02217 (2019) - [i1]Christian Lang, Florian Steinborn, Oliver Steffens, Elmar Wolfgang Lang:
Electricity Load Forecasting - An Evaluation of Simple 1D-CNN Network Structures. CoRR abs/1911.11536 (2019) - 2018
- [j49]Vincent Vigneron
Non-negative sub-tensor ensemble factorization (NsTEF) algorithm. A new incremental tensor factorization for large data sets. Signal Process. 144: 77-86 (2018) - 2017
- [j48]Markus Goldhacker
A multi-variate blind source separation algorithm. Comput. Methods Programs Biomed. 151: 91-99 (2017) - [c87]Vincent Vigneron
Z-Images. IbPRIA 2017: 177-184 - [c86]Saad Al-Baddai, Barbara Ströhl, Elmar Wolfgang Lang, Bernd Ludwig:
Do Museum Visitors See what Educators Want Them to See? UMAP (Adjunct Publication) 2017: 321-326 - 2016
- [j47]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé
Analysis of fMRI images with bi-dimensional empirical mode decomposition based-on Green's functions. Biomed. Signal Process. Control. 30: 53-63 (2016) - [j46]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé
A green's function-based Bi-dimensional empirical mode decomposition. Inf. Sci. 348: 305-321 (2016) - [c85]Thomas Siegert, Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
A Nonnegative Tensor Factorization Approach for Three-Dimensional Binary Wafer-Test Data. ICMLA 2016: 842-845 - 2015
- [j45]Ana Maria Tomé
A logistic non-negative matrix factorization approach to binary data sets. Multidimens. Syst. Signal Process. 26(1): 125-143 (2015) - [j44]Diego Salas-Gonzalez
Building a FP-CIT SPECT Brain Template Using a Posterization Approach. Neuroinformatics 13(4): 391-402 (2015) - [c84]Esteve Gallego-Jutglà, Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Elmar Wolfgang Lang, Jordi Solé-Casals:
Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition. BIOSIGNALS 2015: 385-391 - [c83]Diego Salas-Gonzalez, Oliver Horeth, Elmar Wolfgang Lang, Juan Manuel Górriz, Javier Ramírez:
Study of the Histogram of the Hippocampus in MRI Using the α-stable Distribution. IWBBIO (1) 2015: 216-221 - [c82]Diego Salas-Gonzalez, Elmar Wolfgang Lang, Juan Manuel Górriz, Javier Ramírez:
A Posterization Strategy for the Registration of [123I]FP-CIT SPECT Brain Images. VISAPP (3) 2015: 88-92 - 2014
- [j43]A. Neubauer, Ana Maria Tomé, Andreas Kodewitz, J. M. Górriz, Carlos García Puntonet, Elmar Wolfgang Lang:
Bidimensional Ensemble Empirical mode Decomposition of Functional Biomedical Images. Adv. Data Sci. Adapt. Anal. 6(1) (2014) - [j42]Saad Al-Baddai
Bidimensional ensemble empirical mode decomposition of functional biomedical images taken during a contour integration task. Biomed. Signal Process. Control. 13: 218-236 (2014) - [j41]Torsten Schön, Martin Stetter, Ana Maria Tomé
Physarum Learner: A bio-inspired way of learning structure from data. Expert Syst. Appl. 41(11): 5353-5370 (2014) - [j40]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
A new Bayesian approach to nonnegative matrix factorization: Uniqueness and model order selection. Neurocomputing 138: 142-156 (2014) - [j39]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
A Bayesian approach to the Lee-Seung update rules for NMF. Pattern Recognit. Lett. 45: 251-256 (2014) - [c81]Diego Salas-Gonzalez
Affine registration of [123I]FP-CIT SPECT brain images. InMed 2014: 65-73 - [c80]Saad Al-Baddai, Karema Al-Subari, Ana Maria Tomé, Gregor Volberg, Elmar Wolfgang Lang:
Combining EMD with ICA to Analyze Combined EEG-fMRI Data. MIUA 2014: 223-228 - [c79]Diego Salas-Gonzalez, Juan Manuel Górriz, Javier Ramírez, Elmar Wolfgang Lang:
Why Using the Alpha-stable Distribution in Neuroimage?. SIGMAP 2014: 297-301 - 2013
- [j38]Diego Salas-Gonzalez
Parameterization of the distribution of white and grey matter in MRI using the αα-stable distribution. Comput. Biol. Medicine 43(5): 559-567 (2013) - [j37]Diego Salas-Gonzalez
Linear intensity normalization of FP-CIT SPECT brain images using the α-stable distribution. NeuroImage 65: 449-455 (2013) - [j36]Angela Zeiler, Rupert Faltermeier, Ana Maria Tomé
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. Neural Process. Lett. 37(1): 21-32 (2013) - [c78]Ana Maria Tomé, Antonio R. Hidalgo-Muñoz, M. M. López, Ana R. Teixeira, Isabel M. Santos, Ana Teresa Pereira, M. Vázquez-Marrufo, Elmar Wolfgang Lang:
Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals. BIOSIGNALS 2013: 54-60 - [c77]Torsten Schön, Martin Stetter, Ana Maria Tomé, Elmar Wolfgang Lang:
A New Physarum Learner for Network Structure Learning from Biomedical Data. BIOSIGNALS 2013: 151-156 - 2012
- [j35]Ignacio Álvarez Illán
Bilateral symmetry aspects in computer-aided Alzheimer's disease diagnosis by single-photon emission-computed tomography imaging. Artif. Intell. Medicine 56(3): 191-198 (2012) - [j34]Elmar Wolfgang Lang, Ana Maria Tomé
Brain Connectivity Analysis: A Short Survey. Comput. Intell. Neurosci. 2012: 412512:1-412512:21 (2012) - [j33]A. Gallix, J. M. Górriz
On the empirical mode decomposition applied to the analysis of brain SPECT images. Expert Syst. Appl. 39(18): 13451-13461 (2012) - [c76]Torsten Schön, Martin Stetter, Elmar Wolfgang Lang:
Structure Learning for Bayesian Networks Using the Physarum Solver. ICMLA (1) 2012: 488-493 - [c75]A. Gallix, J. M. Górriz, Javier Ramírez, I. Álvarez Illán, Elmar Wolfgang Lang:
SPECT Computer-Aided Diagnosis System based on the Empirical Mode Decomposition. KES 2012: 2220-2231 - 2011
- [j32]Rupert Faltermeier, Angela Zeiler, Ana Maria Tomé, Alexander Brawanski, Elmar Wolfgang Lang:
Weighted sliding Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 3(4): 509-526 (2011) - [j31]Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
Towards unique solutions of non-negative matrix factorization problems by a determinant criterion. Digit. Signal Process. 21(4): 528-534 (2011) - [j30]Ana R. Teixeira
Unsupervised feature extraction via kernel subspace techniques. Neurocomputing 74(5): 820-830 (2011) - [c74]Diego Salas-Gonzalez
Bayesian Segmentation of Magnetic Resonance Images Using the α-Stable Distribution. HAIS (1) 2011: 99-106 - [c73]Manuel Meilinger, Elmar Wolfgang Lang, Christian Schmidgunst, Oliver Schütz:
Projective segmentation of metal implants in Cone Beam computed tomographic images. ISPA 2011: 507-512 - [c72]Angela Zeiler, Rupert Faltermeier, Ana Maria Tomé
Sliding Empirical Mode Decomposition for On-line Analysis of Biomedical Time Series. IWANN (1) 2011: 299-306 - [c71]Angela Zeiler, Rupert Faltermeier, Alexander Brawanski, Ana Maria Tomé
Brain Status Data Analysis by Sliding EMD. IWINAC (2) 2011: 77-86 - [c70]Cristina Muñoz-Mulas, Rafael Martínez-Olalla
KPCA vs. PCA Study for an Age Classification of Speakers. NOLISP 2011: 190-198 - 2010
- [j29]J. M. Górriz
Improved likelihood ratio test based voice activity detector applied to speech recognition. Speech Commun. 52(7-8): 664-677 (2010) - [j28]Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
A Nonnegative Blind Source Separation Model for Binary Test Data. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1439-1448 (2010) - [c69]Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
Bayesian extensions of non-negative matrix factorization. CIP 2010: 57-62 - [c68]Andreas Kodewitz, Ingo R. Keck
Exploratory Matrix Factorization for PET Image Analysis. HAIS (1) 2010: 460-467 - [c67]Pablo Padilla
NMF-Based Analysis of SPECT Brain Images for the Diagnosis of Alzheimer's Disease. HAIS (1) 2010: 468-475 - [c66]Rupert Faltermeier, Angela Zeiler, Ingo R. Keck
Sliding Empirical Mode Decomposition. IJCNN 2010: 1-8 - [c65]Anke Meyer-Bäse
Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. IJCNN 2010: 1-5 - [c64]Angela Zeiler, Rupert Faltermeier, Ingo R. Keck
Brain status data analyzed by Empirical Mode Decomposition. IJCNN 2010: 1-8 - [c63]Angela Zeiler, Rupert Faltermeier, Ingo R. Keck
Empirical Mode Decomposition - an introduction. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j27]Dominik Lutter
Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica. J. Biomed. Informatics 42(4): 605-611 (2009) - [j26]Juan Manuel Górriz
A Novel LMS Algorithm Applied to Adaptive Noise Cancellation. IEEE Signal Process. Lett. 16(1): 34-37 (2009) - [j25]Ana R. Teixeira
How to Apply Nonlinear Subspace Techniques to Univariate Biomedical Time Series. IEEE Trans. Instrum. Meas. 58(8): 2433-2443 (2009) - [c62]Ana R. Teixeira
Feature Extraction Using Linear and Non-linear Subspace Techniques. ICANN (2) 2009: 115-124 - [c61]Reinhard Schachtner, Gerhard Pöppel, Ana Maria Tomé
Minimum Determinant Constraint for Non-negative Matrix Factorization. ICA 2009: 106-113 - [c60]Ingo R. Keck
Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis. ICA 2009: 435-442 - [c59]Hans Georg Stockmeier, Heidi Bäcker, Wolfgang Bäumler, Elmar Wolfgang Lang:
BSS-Based Feature Extraction for Skin Lesion Image Classification. ICA 2009: 467-474 - [c58]Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
Binary Nonnegative Matrix Factorization Applied to Semi-conductor Wafer Test Sets. ICA 2009: 710-717 - [c57]Volker Fischer, Ana Maria Tomé
Serial Evolution. IWINAC (1) 2009: 233-244 - 2008
- [j24]Reinhard Schachtner, Dominik Lutter
Knowledge-based gene expression classification via matrix factorization. Bioinform. 24(15): 1688-1697 (2008) - [j23]Dominik Lutter
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis. BMC Bioinform. 9 (2008) - [j22]Ana R. Teixeira
KPCA denoising and the pre-image problem revisited. Digit. Signal Process. 18(4): 568-580 (2008) - [j21]Fabian J. Theis
A robust model for spatiotemporal dependencies. Neurocomputing 71(10-12): 2209-2216 (2008) - [j20]Kurt Stadlthanner, Fabian J. Theis
Hybridizing sparse component analysis with genetic algorithms for microarray analysis. Neurocomputing 71(10-12): 2356-2376 (2008) - [j19]Juan Manuel Górriz
Jointly Gaussian PDF-Based Likelihood Ratio Test for Voice Activity Detection. IEEE Trans. Speech Audio Process. 16(8): 1565-1578 (2008) - [c56]Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Sergio Antonio Cruces-Alvarez, Deniz Erdogmus, Elmar Wolfgang Lang:
A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals. EUSIPCO 2008: 1-5 - [c55]Reinhard Schachtner, Gerhard Pöppel, Elmar Wolfgang Lang:
Nonnegative Matrix Factorization for Binary Data to Extract Elementary Failure Maps from Wafer Test Images. GfKl 2008: 755-764 - [c54]Javier Ramírez
Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data. ICCS (1) 2008: 741-748 - [c53]Ana R. Teixeira
Feature Extraction Using Low-Rank Approximations of the Kernel Matrix. ICIAR 2008: 404-412 - [c52]Reinhard Schachtner, Dominik Lutter, Ana Maria Tomé
A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis. IWPACBB 2008: 137-146 - 2007
- [c51]Reinhard Schachtner, Dominik Lutter, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Juan Manuel Górriz Sáez, Carlos García Puntonet:
Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays. ICA 2007: 649-656 - [c50]Reinhard Schachtner, Dominik Lutter
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. ICANN (2) 2007: 80-89 - [c49]Ana R. Teixeira
Greedy KPCA in Biomedical Signal Processing. ICANN (2) 2007: 486-495 - [c48]Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet:
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and Nonnegativity Constraints. ICANN (1) 2007: 799-808 - [c47]Kurt Stadlthanner, Dominik Lutter, Fabian J. Theis
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis. IJCNN 2007: 294-299 - [c46]Salua Nassabay, Ingo R. Keck
Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis. IWANN 2007: 692-699 - 2006
- [j18]Ana R. Teixeira
Automatic removal of high-amplitude artefacts from single-channel electroencephalograms. Comput. Methods Programs Biomed. 83(2): 125-138 (2006) - [j17]Kurt Stadlthanner, Ana Maria Tomé
Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils. Neurocomputing 69(4-6): 497-522 (2006) - [j16]Carlos García Puntonet
Blind source separation and independent component analysis. Neurocomputing 69(13-15): 1413 (2006) - [j15]J. M. Górriz
Optimizing blind source separation with guided genetic algorithms. Neurocomputing 69(13-15): 1442-1457 (2006) - [j14]Peter Gruber, Kurt Stadlthanner, Matthias Böhm, Fabian J. Theis
Denoising using local projective subspace methods. Neurocomputing 69(13-15): 1485-1501 (2006) - [j13]Juan Manuel Górriz
Hard C-means clustering for voice activity detection. Speech Commun. 48(12): 1638-1649 (2006) - [j12]Fabian J. Theis
Median-based clustering for underdetermined blind signal processing. IEEE Signal Process. Lett. 13(2): 96-99 (2006) - [j11]Matthias Böhm, Kurt Stadlthanner, Peter Gruber, Fabian J. Theis
On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE Trans. Biomed. Eng. 53(5): 810-820 (2006) - [c45]Ana R. Teixeira, Ana Maria Tomé, Kurt Stadlthanner, Elmar Wolfgang Lang:
Nonlinear projective techniques to extract artifacts in biomedical signals. EUSIPCO 2006: 1-5 - [c44]Kurt Stadlthanner, Fabian J. Theis
Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. ICA 2006: 254-261 - [c43]Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Elmar Wolfgang Lang, Kurt Stadlthanner:
Independent Component Analysis Applied to Voice Activity Detection. International Conference on Computational Science (1) 2006: 234-241 - [c42]Juan Manuel Górriz, Javier Ramírez, Ignacio Turias, Carlos García Puntonet, Jesús González
C-Means Clustering Applied to Speech Discrimination. International Conference on Computational Science (1) 2006: 649-656 - [c41]Ingo R. Keck
Region of Interest Based Independent Component Analysis. ICONIP (1) 2006: 1048-1057 - 2005
- [j10]Ana Maria Tomé
dAMUSE - A new tool for denoising and blind source separation. Digit. Signal Process. 15(4): 400-421 (2005) - [c40]Fabian J. Theis, Peter Gruber, Ingo R. Keck, Anke Meyer-Bäse, Elmar Wolfgang Lang:
Spatiotemporal blind source separation using double-sided approximate joint diagonalization. EUSIPCO 2005: 1-4 - [c39]Matthias Böhm, Kurt Stadlthanner, Ana Maria Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
AutoAssign - An Automatic Assignment Tool for Independent Components. IbPRIA (2) 2005: 75-82 - [c38]Juan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang:
Bispectrum-Based Statistical Tests for VAD. ICANN (2) 2005: 541-546 - [c37]Fabian J. Theis
Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. ICANN (1) 2005: 677-682 - [c36]Kurt Stadlthanner, Fabian J. Theis
Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation. ISBMDA 2005: 137-148 - [c35]Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
Extended Sparse Nonnegative Matrix Factorization. IWANN 2005: 249-256 - [c34]Ingo R. Keck
Clustering of Signals Using Incomplete Independent Component Analysis. IWANN 2005: 1067-1074 - [c33]Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Ana Maria Tomé, Ana R. Teixeira, Fabian J. Theis, Carlos García Puntonet:
A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA. IWANN 2005: 1075-1082 - [c32]Ingo R. Keck, Salua Nassabay, Carlos García Puntonet, Elmar Wolfgang Lang:
A New Approach to Clustering and Object Detection with Independent Component Analysis. IWINAC (2) 2005: 558-566 - 2004
- [j9]Christian Ziegaus, Elmar Wolfgang Lang:
A neural implementation of the JADE algorithm (nJADE) using higher-order neurons. Neurocomputing 56: 79-100 (2004) - [j8]Fabian J. Theis
A geometric algorithm for overcomplete linear ICA. Neurocomputing 56: 381-398 (2004) - [j7]Martin Stetter, Elmar Wolfgang Lang:
Modeling texture-constancy of cortical grating cells. Neurocomputing 58-60: 835-841 (2004) - [c31]Fabian J. Theis, Elmar Wolfgang Lang:
Linearization identification and an application to BSS using a SOM. ESANN 2004: 205-210 - [c30]Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Elmar Wolfgang Lang, Ignacio Rojas Ruiz, Carlos García Puntonet, Moisés Salmerón-Campos:
Lattice ICA for the separation of speech signals. ESANN 2004: 337-342 - [c29]Ana R. Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Kurt Stadlthanner:
Delayed AMUSE - A Tool for Blind Source Separation and Denoising. ICA 2004: 287-294 - [c28]Fabian J. Theis, Anke Meyer-Bäse
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733 - [c27]Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet:
3D Spatial Analysis of fMRI Data on a Word Perception Task. ICA 2004: 977-984 - [c26]Peter Gruber, Kurt Stadlthanner, Ana Maria Tomé, Ana R. Teixeira
Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals. ICA 2004: 993-1000 - [c25]Juan Manuel Górriz, Carlos García Puntonet, Moisés Salmerón, Elmar Wolfgang Lang:
Meta-heuristics hybridizing independent component analysis with genetic algorithms. ICECS 2004: 523-526 - [c24]Juan Manuel Górriz Sáez, Carlos García Puntonet, Elmar Wolfgang Lang:
Hybrid SOM-SVM Algorithm for Real Time Series Forecasting. ICINCO (1) 2004: 103-107 - 2003
- [j6]Juan Manuel Górriz, Carlos García Puntonet, Moisés Salmerón, Elmar Wolfgang Lang:
Time Series Prediction using ICA Algorithms. Int. J. Comput. 2(2): 69-75 (2003) - [j5]Fabian J. Theis
Linear Geometric ICA: Fundamentals and Algorithms. Neural Comput. 15(2): 419-439 (2003) - [c23]Eduardo Ros, M. M. Rodríguez, Sonia Mota, José Luis Bernier, Ignacio Rojas, Carlos García Puntonet, Elmar Wolfgang Lang:
Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning. IbPRIA 2003: 858-867 - [c22]Kurt Stadlthanner, Ana Maria Tomé
Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils. ISSPA (2) 2003: 85-88 - [c21]Ana Maria Tomé
Approximate diagonalization approach to blind source separation with a subset of matrices. ISSPA (2) 2003: 105-108 - [c20]Fabian J. Theis
Neural network signal analysis in immunology. ISSPA (2) 2003: 235-238 - [c19]Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
An Improved Geometric Overcomplete Blind Source Separation Algorithm. IWANN (2) 2003: 265-272 - [c18]Manuel Rodríguez Álvarez, Fernando Rojas, Elmar Wolfgang Lang, Ignacio Rojas:
A New Geometrical ICA-based Method for Blind Separation of Speech Signals. IWANN (2) 2003: 281-288 - [c17]Kurt Stadlthanner, Ana Maria Tomé, Fabian J. Theis, Elmar Wolfgang Lang:
A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra. IWANN (2) 2003: 575-582 - [c16]Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang:
Generalizing Geometric ICA to Nonlinear Settings. IWANN (2) 2003: 687-694 - [c15]Fabian J. Theis, Manuel Rodríguez Álvarez, Carlos García Puntonet, Elmar Wolfgang Lang:
An Adaptive Approach to Blind Source Separation Using a Self-Organzing Map and a Neural Gas. IWANN (2) 2003: 695-702 - 2002
- [j4]Carlos García Puntonet
Separation of sources using simulated annealing and competitive learning. Neurocomputing 49(1-4): 39-60 (2002) - [j3]Fabian J. Theis
Comparison of maximum entropy and minimal mutual information in a nonlinear setting. Signal Process. 82(7): 971-980 (2002) - [c14]Fabian J. Theis, Elmar Wolfgang Lang:
How to generalize geometric ICA to higher dimensions. ESANN 2002: 205-210 - [c13]Fabian J. Theis, Elmar Wolfgang Lang:
Geometric overcomplete ICA. ESANN 2002: 217-222 - [c12]Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet:
Overcomplete ICA with a Geometric Algorithm. ICANN 2002: 1049-1054 - 2001
- [c11]Christian Ziegaus, Elmar Wolfgang Lang:
A Comparative Study of ICA Filter Structures Learnt from Natural and Urban Images. IWANN (2) 2001: 295-302 - [c10]Christian Mies, Christoph Bauer, Günther Ackermann, Wolfgang Bäumler, Christoph Abels, Carlos García Puntonet, Manuel Rodríguez Álvarez, Elmar Wolfgang Lang:
Can ICA Help Classify Skin Cancer and Benign Lesions? IWANN (2) 2001: 328-335 - [c9]Fabian J. Theis
Pattern Repulsion Revisited. IWANN (2) 2001: 778-785 - 2000
- [c8]M. Habl, Ch. Bauer, Christian Ziegaus, Elmar Wolfgang Lang, F. Schulmeyer:
Analyzing Brain Tumor related EEG Signals with ICA Algorithms. ANNIMAB 2000: 131-136
1990 – 1999
- 1999
- [c7]Thomas Burger, Elmar Wolfgang Lang:
A Network Model for the Emergence of Orientation Maps and Local Lateral Circuits. IWANN (1) 1999: 421-430 - [c6]Christoph Bauer, Thomas Burger, Elmar Wolfgang Lang:
A Neural Network Model for the Self-Organization of the Cortical Grating Cells. IWANN (1) 1999: 431-441 - [c5]Christian Ziegaus, Elmar Wolfgang Lang:
Neural Implementation of the JADE-Algorithm. IWANN (2) 1999: 487-496 - 1998
- [j2]K. Brunner, M. Kussinger, Martin Stetter, Elmar Wolfgang Lang:
A neural network model for the emergence of grating cells. Biol. Cybern. 78(5): 389-397 (1998) - 1997
- [c4]Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer:
Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. ICANN 1997: 189-194 - [c3]Christian Ziegaus, Elmar Wolfgang Lang:
Statistics of Natural and Urban Images. ICANN 1997: 219-224 - [c2]Thomas Burger, Elmar Wolfgang Lang:
A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli. ICANN 1997: 225-230 - 1995
- [c1]Martin Stetter, M. Kussinger, Armin Schels, E. Seeger, Elmar Wolfgang Lang:
Self-Organization of Cortical Receptive Fields and Columnar Structures in a Hebb Trained Neural Network. IWANN 1995: 37-44 - 1993
- [j1]Martin Stetter, Elmar Wolfgang Lang, A. Müller:
Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. Biol. Cybern. 68(5): 465-476 (1993)
Coauthor Index
[j45] [j43] [j41] [j40] [j36] [j35] [j34] [c72] [c71] [j29] [c64] [c63] [j26] [j25] [c60] [j20] [j19] [c56] [c54] [c51] [c48] [c47] [c46] [j16] [j15] [j14] [j13] [j12] [c44] [c43] [c42] [c41] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [j8] [c30] [c27] [c26] [c25] [c24] [j6] [j5] [c23] [c19] [c16] [c15] [j4] [c12] [c10] [c9]
[j53] [j51] [j50] [i4] [c90] [c89] [c88] [i3] [i2] [j49] [j48] [c87] [j47] [j46] [j45] [c84] [j43] [j42] [j41] [j40] [j39] [c80] [j36] [c78] [c77] [j34] [j32] [j30] [c72] [c71] [c68] [c66] [c64] [c63] [j25] [c62] [c61] [c57] [j24] [j22] [j20] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [j18] [j17] [j14] [j11] [c45] [c44] [j10] [c39] [c36] [c33] [c29] [c26] [c22] [c21] [c17]
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