| * | 2009 |
|---|
| 67 | EE | Peter Gruber,
Harold W. Gutch,
Fabian J. Theis:
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions.
ICA 2009: 259-266 |
| 66 | EE | Fabian J. Theis,
Thomas P. Cason,
Pierre-Antoine Absil:
Soft Dimension Reduction for ICA by Joint Diagonalization on the Stiefel Manifold.
ICA 2009: 354-361 |
| 65 | EE | Florian Blöchl,
Fabian J. Theis:
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks.
ICA 2009: 387-394 |
| 64 | EE | Fabian J. Theis,
Richard Neher,
Andre Zeug:
Blind Decomposition of Spectral Imaging Microscopy: A Study on Artificial and Real Test Data.
ICA 2009: 548-556 |
| 63 | EE | Dominik M. Wittmann,
Daniel Schmidl,
Florian Blöchl,
Fabian J. Theis:
Reconstruction of graphs based on random walks.
Theor. Comput. Sci. 410(38-40): 3826-3838 (2009) |
| 2008 |
|---|
| 62 | | Anke Meyer-Bäse,
Fabian J. Theis:
Stochastic Stability Analysis of the Heat Shock Response in E. Coli.
BIOCOMP 2008: 39-42 |
| 61 | EE | Javier Ramírez,
Juan Manuel Górriz,
M. Gómez-Río,
A. Romero,
Rosa Chaves,
A. Lassl,
A. Rodríguez,
Carlos García Puntonet,
Fabian J. Theis,
Elmar Wolfgang Lang:
Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data.
ICCS (1) 2008: 741-748 |
| 60 | EE | Dominik Lutter,
Peter Ugocsai,
Margot Grandl,
Evelyn Orso,
Fabian J. Theis,
Elmar Wolfgang Lang,
Gerd Schmitz:
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis.
BMC Bioinformatics 9: (2008) |
| 59 | EE | Reinhard Schachtner,
Dominik Lutter,
P. Knollmüller,
Ana Maria Tomé,
Fabian J. Theis,
Gerd Schmitz,
Martin Stetter,
Pedro Gómez Vilda,
Elmar Wolfgang Lang:
Knowledge-based gene expression classification via matrix factorization.
Bioinformatics 24(15): 1688-1697 (2008) |
| 58 | EE | Dirk Brockmann,
Fabian J. Theis:
Money Circulation, Trackable Items, and the Emergence of Universal Human Mobility Patterns.
IEEE Pervasive Computing 7(4): 28-35 (2008) |
| 57 | EE | Fabian J. Theis,
Peter Gruber,
Ingo R. Keck,
Elmar Wolfgang Lang:
A robust model for spatiotemporal dependencies.
Neurocomputing 71(10-12): 2209-2216 (2008) |
| 56 | EE | Kurt Stadlthanner,
Fabian J. Theis,
Elmar Wolfgang Lang,
Ana Maria Tomé,
Carlos García Puntonet,
Juan Manuel Górriz:
Hybridizing sparse component analysis with genetic algorithms for microarray analysis.
Neurocomputing 71(10-12): 2356-2376 (2008) |
| 2007 |
|---|
| 55 | EE | Fabian J. Theis,
Motoaki Kawanabe:
Colored Subspace Analysis.
ICA 2007: 121-128 |
| 54 | EE | Cédric Févotte,
Fabian J. Theis:
Pivot Selection Strategies in Jacobi Joint Block-Diagonalization.
ICA 2007: 177-184 |
| 53 | EE | Peter Gruber,
C. Kohler,
Fabian J. Theis:
A Toolbox for Model-Free Analysis of fMRI Data.
ICA 2007: 209-217 |
| 52 | EE | Pando G. Georgiev,
Fabian J. Theis,
Anca L. Ralescu:
Identifiability Conditions and Subspace Clustering in Sparse BSS.
ICA 2007: 357-364 |
| 51 | EE | Harold W. Gutch,
Fabian J. Theis:
Independent Subspace Analysis Is Unique, Given Irreducibility.
ICA 2007: 49-56 |
| 50 | EE | 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 |
| 49 | EE | 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 |
| 48 | EE | Reinhard Schachtner,
Dominik Lutter,
Fabian J. Theis,
Elmar Wolfgang Lang,
Ana Maria Tomé,
Gerd Schmitz:
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
ICANN (2) 2007: 80-89 |
| 47 | EE | J. Michael Herrmann,
Fabian J. Theis:
Statistical Analysis of Sample-Size Effects in ICA.
IDEAL 2007: 416-425 |
| 46 | EE | Kurt Stadlthanner,
Dominik Lutter,
Fabian J. Theis,
Elmar Wolfgang Lang,
Ana Maria Tomé,
Petia Georgieva,
Carlos García Puntonet:
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
IJCNN 2007: 294-299 |
| 45 | EE | Motoaki Kawanabe,
Fabian J. Theis:
Joint low-rank approximation for extracting non-Gaussian subspaces.
Signal Processing 87(8): 1890-1903 (2007) |
| 2006 |
|---|
| 44 | EE | Motoaki Kawanabe,
Fabian J. Theis:
Estimating Non-Gaussian Subspaces by Characteristic Functions.
ICA 2006: 157-164 |
| 43 | EE | Kurt Stadlthanner,
Fabian J. Theis,
Elmar Wolfgang Lang,
Ana Maria Tomé,
Carlos García Puntonet,
Pedro Gómez Vilda,
Thomas Langmann,
Gerd Schmitz:
Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets.
ICA 2006: 254-261 |
| 42 | EE | Fabian J. Theis,
Motoaki Kawanabe:
Uniqueness of Non-Gaussian Subspace Analysis.
ICA 2006: 917-925 |
| 41 | EE | Toshihisa Tanaka,
Yumi Murakami,
Fabian J. Theis:
A Fast Predictive Lossless Coder for fMRI Data Sets.
ICIP 2006: 2529-2532 |
| 40 | EE | Ingo R. Keck,
Jan Churan,
Fabian J. Theis,
Peter Gruber,
Elmar Wolfgang Lang,
Carlos García Puntonet:
Region of Interest Based Independent Component Analysis.
ICONIP (1) 2006: 1048-1057 |
| 39 | EE | Anke Meyer-Bäse,
Vera Thümmler,
Fabian J. Theis:
Stability Analysis of an Unsupervised Competitive Neural Network.
IJCNN 2006: 1025-1028 |
| 38 | EE | Stefano Squartini,
Francesco Piazza,
Fabian J. Theis:
New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA.
ISCAS 2006 |
| 37 | EE | Fabian J. Theis,
Yujiro Inouye:
On the use of joint diagonalization in blind signal processing.
ISCAS 2006 |
| 36 | EE | Fabian J. Theis:
Towards a general independent subspace analysis.
NIPS 2006: 1361-1368 |
| 35 | EE | Peter Gruber,
Kurt Stadlthanner,
Matthias Böhm,
Fabian J. Theis,
Elmar Wolfgang Lang,
Ana Maria Tomé,
Ana R. Teixeira,
Carlos García Puntonet,
Juan Manuel Górriz Sáez:
Denoising using local projective subspace methods.
Neurocomputing 69(13-15): 1485-1501 (2006) |
| 34 | EE | Kurt Stadlthanner,
Ana Maria Tomé,
Fabian J. Theis,
Elmar Wolfgang Lang,
Wolfram Gronwald,
Hans Robert Kalbitzer:
Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils.
Neurocomputing 69(4-6): 497-522 (2006) |
| 33 | EE | Fabian J. Theis,
Gonzalo A. García:
On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms.
Signal Processing 86(3): 603-623 (2006) |
| 2005 |
|---|
| 32 | EE | Fabian J. Theis,
Peter Gruber,
Ingo R. Keck,
Elmar Wolfgang Lang:
Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm.
ICANN (1) 2005: 677-682 |
| 31 | EE | 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 |
| 30 | EE | Fabian J. Theis,
Toshihisa Tanaka:
A Fast and Efficient Method for Compressing fMRI Data Sets.
ICANN (2) 2005: 769-777 |
| 29 | EE | Kurt Stadlthanner,
Fabian J. Theis,
Carlos García Puntonet,
Juan Manuel Górriz,
Ana Maria Tomé,
Elmar Wolfgang Lang:
Hybridizing Sparse Component Analysis with Genetic Algorithms for Blind Source Separation.
ISBMDA 2005: 137-148 |
| 28 | EE | Fabian J. Theis:
Blind signal separation into groups of dependent signals using joint block diagonalization.
ISCAS (6) 2005: 5878-5881 |
| 27 | EE | 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 |
| 26 | EE | Kurt Stadlthanner,
Fabian J. Theis,
Carlos García Puntonet,
Elmar Wolfgang Lang:
Extended Sparse Nonnegative Matrix Factorization.
IWANN 2005: 249-256 |
| 25 | EE | 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 |
| 24 | EE | Fabian J. Theis,
Peter Gruber:
On model identifiability in analytic postnonlinear ICA.
Neurocomputing 64: 223-234 (2005) |
| 2004 |
|---|
| 23 | EE | Fabian J. Theis,
Elmar Wolfgang Lang:
Linearization identification and an application to BSS using a SOM.
ESANN 2004: 205-210 |
| 22 | EE | Fabian J. Theis,
Peter Gruber:
Separability of analytic postnonlinear blind source separation with bounded sources.
ESANN 2004: 217-222 |
| 21 | EE | Fabian J. Theis,
Pando G. Georgiev,
Andrzej Cichocki:
Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform.
ESANN 2004: 343-348 |
| 20 | EE | Pando G. Georgiev,
Fabian J. Theis:
Blind Source Separation of Linear Mixtures with Singular Matrices.
ICA 2004: 121-128 |
| 19 | EE | Fabian J. Theis,
Shun-ichi Amari:
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources.
ICA 2004: 718-725 |
| 18 | EE | Fabian J. Theis,
Anke Meyer-Bäse,
Elmar Wolfgang Lang:
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances.
ICA 2004: 726-733 |
| 17 | EE | Anke Meyer-Bäse,
Fabian J. Theis,
Oliver Lange,
Carlos García Puntonet:
Tree-Dependent and Topographic Independent Component Analysis for fMRI Analysis.
ICA 2004: 782-789 |
| 16 | EE | 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 |
| 15 | EE | Peter Gruber,
Kurt Stadlthanner,
Ana Maria Tomé,
Ana R. Teixeira,
Fabian J. Theis,
Carlos García Puntonet,
Elmar Wolfgang Lang:
Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals.
ICA 2004: 993-1000 |
| 14 | EE | Andreas Krause,
Dominik Hartl,
Fabian J. Theis,
Manfred Stangl,
Klaus-E. Gerauer,
Alexander T. Mehlhorn:
Mobile decision support for transplantation patient data.
I. J. Medical Informatics 73(5): 461-464 (2004) |
| 13 | EE | Fabian J. Theis:
A New Concept for Separability Problems in Blind Source Separation.
Neural Computation 16(9): 1827-1850 (2004) |
| 12 | EE | Fabian J. Theis,
Elmar Wolfgang Lang,
Carlos García Puntonet:
A geometric algorithm for overcomplete linear ICA.
Neurocomputing 56: 381-398 (2004) |
| 11 | EE | Fabian J. Theis:
Uniqueness of complex and multidimensional independent component analysis.
Signal Processing 84(5): 951-956 (2004) |
| 2003 |
|---|
| 10 | EE | Fabian J. Theis,
Carlos García Puntonet,
Elmar Wolfgang Lang:
An Improved Geometric Overcomplete Blind Source Separation Algorithm.
IWANN (2) 2003: 265-272 |
| 9 | EE | 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 |
| 8 | EE | Fabian J. Theis,
Carlos García Puntonet,
Elmar Wolfgang Lang:
Generalizing Geometric ICA to Nonlinear Settings.
IWANN (2) 2003: 687-694 |
| 7 | EE | 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 |
| 6 | EE | Fabian J. Theis,
Andreas Jung,
Carlos García Puntonet,
Elmar Wolfgang Lang:
Linear Geometric ICA: Fundamentals and Algorithms.
Neural Computation 15(2): 419-439 (2003) |
| 2002 |
|---|
| 5 | | Fabian J. Theis,
Elmar Wolfgang Lang:
How to generalize geometric ICA to higher dimensions.
ESANN 2002: 205-210 |
| 4 | | Fabian J. Theis,
Elmar Wolfgang Lang:
Geometric overcomplete ICA.
ESANN 2002: 217-222 |
| 3 | EE | Fabian J. Theis,
Elmar Wolfgang Lang,
Tobias Westenhuber,
Carlos García Puntonet:
Overcomplete ICA with a Geometric Algorithm.
ICANN 2002: 1049-1054 |
| 2 | EE | Fabian J. Theis,
Christoph Bauer,
Elmar Wolfgang Lang:
Comparison of maximum entropy and minimal mutual information in a nonlinear setting.
Signal Processing 82(7): 971-980 (2002) |
| 2001 |
|---|
| 1 | EE | Fabian J. Theis,
Christoph Bauer,
Carlos García Puntonet,
Elmar Wolfgang Lang:
Pattern Repulsion Revisited.
IWANN (2) 2001: 778-785 |
