| 2009 | ||
|---|---|---|
| 67 | Peter Gruber, Harold W. Gutch, Fabian J. Theis: Hierarchical Extraction of Independent Subspaces of Unknown Dimensions. ICA 2009: 259-266 | |
| 66 | 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 | Florian Blöchl, Fabian J. Theis: Estimating Hidden Influences in Metabolic and Gene Regulatory Networks. ICA 2009: 387-394 | |
| 64 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Fabian J. Theis, Motoaki Kawanabe: Colored Subspace Analysis. ICA 2007: 121-128 | |
| 54 | Cédric Févotte, Fabian J. Theis: Pivot Selection Strategies in Jacobi Joint Block-Diagonalization. ICA 2007: 177-184 | |
| 53 | Peter Gruber, C. Kohler, Fabian J. Theis: A Toolbox for Model-Free Analysis of fMRI Data. ICA 2007: 209-217 | |
| 52 | Pando G. Georgiev, Fabian J. Theis, Anca L. Ralescu: Identifiability Conditions and Subspace Clustering in Sparse BSS. ICA 2007: 357-364 | |
| 51 | Harold W. Gutch, Fabian J. Theis: Independent Subspace Analysis Is Unique, Given Irreducibility. ICA 2007: 49-56 | |
| 50 | 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 | 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 | 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 | J. Michael Herrmann, Fabian J. Theis: Statistical Analysis of Sample-Size Effects in ICA. IDEAL 2007: 416-425 | |
| 46 | 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 | Motoaki Kawanabe, Fabian J. Theis: Joint low-rank approximation for extracting non-Gaussian subspaces. Signal Processing 87(8): 1890-1903 (2007) | |
| 2006 | ||
| 44 | Motoaki Kawanabe, Fabian J. Theis: Estimating Non-Gaussian Subspaces by Characteristic Functions. ICA 2006: 157-164 | |
| 43 | 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 | Fabian J. Theis, Motoaki Kawanabe: Uniqueness of Non-Gaussian Subspace Analysis. ICA 2006: 917-925 | |
| 41 | Toshihisa Tanaka, Yumi Murakami, Fabian J. Theis: A Fast Predictive Lossless Coder for fMRI Data Sets. ICIP 2006: 2529-2532 | |
| 40 | 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 | Anke Meyer-Bäse, Vera Thümmler, Fabian J. Theis: Stability Analysis of an Unsupervised Competitive Neural Network. IJCNN 2006: 1025-1028 | |
| 38 | Stefano Squartini, Francesco Piazza, Fabian J. Theis: New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA. ISCAS 2006 | |
| 37 | Fabian J. Theis, Yujiro Inouye: On the use of joint diagonalization in blind signal processing. ISCAS 2006 | |
| 36 | Fabian J. Theis: Towards a general independent subspace analysis. NIPS 2006: 1361-1368 | |
| 35 | 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 | 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 | 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 | 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 | 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 | Fabian J. Theis, Toshihisa Tanaka: A Fast and Efficient Method for Compressing fMRI Data Sets. ICANN (2) 2005: 769-777 | |
| 29 | 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 | Fabian J. Theis: Blind signal separation into groups of dependent signals using joint block diagonalization. ISCAS (6) 2005: 5878-5881 | |
| 27 | 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 | Kurt Stadlthanner, Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Extended Sparse Nonnegative Matrix Factorization. IWANN 2005: 249-256 | |
| 25 | 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 | Fabian J. Theis, Peter Gruber: On model identifiability in analytic postnonlinear ICA. Neurocomputing 64: 223-234 (2005) | |
| 2004 | ||
| 23 | Fabian J. Theis, Elmar Wolfgang Lang: Linearization identification and an application to BSS using a SOM. ESANN 2004: 205-210 | |
| 22 | Fabian J. Theis, Peter Gruber: Separability of analytic postnonlinear blind source separation with bounded sources. ESANN 2004: 217-222 | |
| 21 | 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 | Pando G. Georgiev, Fabian J. Theis: Blind Source Separation of Linear Mixtures with Singular Matrices. ICA 2004: 121-128 | |
| 19 | Fabian J. Theis, Shun-ichi Amari: Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources. ICA 2004: 718-725 | |
| 18 | Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfgang Lang: Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances. ICA 2004: 726-733 | |
| 17 | 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 | 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 | 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 | 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 | Fabian J. Theis: A New Concept for Separability Problems in Blind Source Separation. Neural Computation 16(9): 1827-1850 (2004) | |
| 12 | Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet: A geometric algorithm for overcomplete linear ICA. Neurocomputing 56: 381-398 (2004) | |
| 11 | Fabian J. Theis: Uniqueness of complex and multidimensional independent component analysis. Signal Processing 84(5): 951-956 (2004) | |
| 2003 | ||
| 10 | Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: An Improved Geometric Overcomplete Blind Source Separation Algorithm. IWANN (2) 2003: 265-272 | |
| 9 | 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 | Fabian J. Theis, Carlos García Puntonet, Elmar Wolfgang Lang: Generalizing Geometric ICA to Nonlinear Settings. IWANN (2) 2003: 687-694 | |
| 7 | 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 | 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 | Fabian J. Theis, Elmar Wolfgang Lang, Tobias Westenhuber, Carlos García Puntonet: Overcomplete ICA with a Geometric Algorithm. ICANN 2002: 1049-1054 | |
| 2 | 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 | Fabian J. Theis, Christoph Bauer, Carlos García Puntonet, Elmar Wolfgang Lang: Pattern Repulsion Revisited. IWANN (2) 2001: 778-785 | |