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[1]
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H. Gutch, A. Yeredor and F. Theis.
ICA over finite fields-Separability and algorithms.
Signal Processing, 2011.
10.1016/j.sigpro.2011.10.003.
[ DOI ]
|
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[2]
|
E. Vincent, S. Araki, F. Theis, G. Nolte,
P. Bofill, H. Sawada, A. Ozerov,
V. Gowreesunker, D. Lutter and N. Duong.
The Signal Separation Evaluation Campaign (2007-2010): Achievements
and Remaining Challenges.
Signal Processing, 2011.
10.1016/j.sigpro.2011.10.007.
[ DOI ]
|
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[3]
|
H. Hennig, R. Fleischmann, A. Fredebohm,
Y. Hagmayer, J. Nagler, A. Witt, F. Theis
and T. Geisel.
The nature and perception of fluctuations in human musical rhythms.
PLoS ONE, accepted, 6(10):e26457, 2011.
10.1371/journal.pone.0026457.
[ DOI |
PubMed ]
|
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[4]
|
J. Krumsiek, D. Wittmann and F. Theis.
Applications of MATLAB in Science and Engineering, chapter
From Discrete to Continuous Gene Regulation Models - A Tutorial Using the
Odefy Toolbox.
InTech, 2011.
|
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[5]
|
I. Burtscher, W. Barkey, M. Schwarzfischer,
F. Theis and H. Lickert.
The Sox17-mCherry Fusion Mouse Line Allows Visualization of Endoderm
and Vascular Endothelial Development.
genesis, The Journal of Genetics and Development, accepted,
2011.
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[6]
|
S. Sass, S. Dietmann, U. Burk, S. Brabletz,
D. Lutter, A. Kowarsch, K. Mayer,
T. Brabletz, A. Ruepp, F. Theis and
Y. Wang.
MicroRNAs coordinately regulate protein complexes.
BMC Systems Biology, 5(136), 2011.
10.1186/1752-0509-5-136.
[ DOI ]
|
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[7]
|
M. Schwarzfischer, C. Marr, J. Krumsiek,
P. Hoppe, T. Schroeder and F. Theis.
Efficient fluorescence image normalization for time lapse movies.
In Proc. Microscopic Image Analysis with Applications in
Biology. Heidelberg, Germany, 2011.
|
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[8]
|
D. Grady, R. Brune, C. Thiemann, F. Theis
and D. Brockmann.
Handbook of Optimization in Complex Networks, chapter
Modularity maximization and tree clustering: Novel ways to determine
effective geographic borders.
Springer, 2011.
[ http ]
|
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[9]
|
N. Müller, J. Krumsiek, F. Theis,
C. Böhm and A. Meyer-Baese.
Gaussian Graphical Modeling Reveals Specific Lipid Correlations in
Glioblastoma Cells.
In Proc. SPIE 2011. 2011.
|
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[10]
|
D. Lutter, P. Bruns and F. Theis.
Advances in Systems Biology, chapter An ensemble approach for
inferring semi-quantitative regulatory dynamics for the differentiation of
mouse embryonic stem cells using prior knowledge.
Springer, 2011.
|
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[11]
|
J. Krumsiek, C. Marr, T. Schroeder and
F. Theis.
Hierarchical differentiation of myeloid progenitors is encoded in the
transcription factor network.
PLoS ONE, 6(8):e22649, 2011.
10.1371/journal.pone.0022649.
[ DOI ]
|
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[12]
|
H. Gutch, J. Krumsiek and F. Theis.
An independent subspace analysis algorithm with unknown group sizes
successfully identifies biologically meaningful clusters in metabolomics
data.
In Proc. EUSIPCO 2011. 2011.
|
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[13]
|
K. Mittelstrass, J. Ried, Z. Yu,
J. Krumsiek, C. Gieger, C. Prehn,
W. Roemisch-Margl, A. Polonikov, A. Peters,
F. Theis, T. Meitinger, F. Kronenberg,
S. Weidinger, H.-E. Wichmann, K. Suhre,
R. Wang-Sattler, J. Adamski and T. Illig.
Discovery of sexual dimorphisms in metabolic and genetic biomarkers.
PLoS Genetics, 7(8):e1002215, 2011.
10.1371/journal.pgen.1002215.
[ DOI |
PubMed ]
|
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[14]
|
F. Theis, M. Kawanabe and K. Müller.
Uniqueness of non-Gaussianity-based dimension reduction.
IEEE Transactions on Signal Processing, 59(9):4478-4482,
2011.
10.1109/TSP.2011.2159600.
[ DOI ]
|
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[15]
|
I. Laaser, F. Theis, M. H. de Angelis,
H. Kolb and J. Adamski.
Huge Splicing Frequency in Human Y Chromosomal UTY Gene.
OMICS A journal of Integrative Biology, 15(3):141-154,
2011.
10.1089/omi.2010.0107.
[ DOI |
PubMed |
.pdf ]
|
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[16]
|
A. Kowarsch, M. Preusse, C. Marr and
F. Theis.
miTALOS: analyzing the tissue-specific regulation of signaling
pathways by human and mouse microRNAs.
RNA, 17(809-819), 2011.
10.1261/rna.2474511.
[ DOI |
PubMed ]
|
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[17]
|
F. Theis, N. Latif, P. Wong and
D. Frishman.
Complex principal component and correlation structure of 16 yeast
genomic variables.
Molecular Biology and Evolution, 28(9):2501-2512, 2011.
10.1093/molbev/msr077.
[ DOI |
PubMed |
.pdf ]
|
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[18]
|
C. Breindl, S. Waldherr, D. Wittmann,
F. Theis and F. Allgower.
Steady state robustness of qualitative gene regulation networks.
International Journal of Robust and Nonlinear Control,
21(15):1742-1758, 2011.
10.1002/rnc.1786.
[ DOI ]
|
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[19]
|
F. Blöchl, F. Theis, F. Vega-Redondo and
E. Fisher.
Vertex centralities in input-output networks reveal the structure of
modern economies.
Physical Review E, 83(046127), 2011.
10.1103/PhysRevE.83.046127.
[ DOI |
.pdf ]
|
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[20]
|
D. Wittmann and F. Theis.
Dynamic regimes of random fuzzy logic networks.
New Journal of Physics, 13(013041), 2011.
10.1088/1367-2630/13/1/013041.
[ DOI ]
|
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[21]
|
V. Raia, M. Schilling, M. Böhm,
B. Hahn, A. Kowarsch, A. Raue, C. Sticht,
S. Bohl, M. Saile, P. Möller,
N. Gretz, J. Timmer, F. Theis, W.-D.
Lehmann, P. Lichter and U. Klingmüller.
Dynamic Mathematical Modeling of IL13-induced Signaling in Hodgkin
and Primary Mediastinal B-cell Lymphoma Allows Prediction of Therapeutic
Targets.
Cancer Research, 71(693-704), 2011.
10.1158/0008-5472.CAN-10-2987.
[ DOI |
PubMed |
.pdf ]
|
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[22]
|
J. Krumsiek, K. Suhre, T. Illig, J. Adamski
and F. Theis.
Gaussian graphical modeling reconstructs pathway reactions from
high-throughput metabolomics data.
BMC Systems Biology, 5(21), 2011.
10.1186/1752-0509-5-21.
[ DOI |
PubMed |
.pdf ]
|
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[23]
|
T. Baskaran, F. Blöchl, T. Brück and
F. Theis.
The Heckscher-Ohlin Model and the Network Structure of International
Trade.
International Review of Economics and Finance, 20(2):135-145,
2011.
[ .pdf ]
|
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[24]
|
F. Blöchl, A. Rascle, J. Kastner,
R. Witzgall, E. Lang and F. Theis.
Recent Advances in Biomedical Signal Processing, chapter Are
we to integrate previous information into microarray analyses? Interpretation
of a Lmx1b-knockout experiment, pages 157-170.
11. Bentham Science Publishers, 2011.
[ .pdf ]
|
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[25]
|
F. Theis, S. Bohl and U. Klingmüller.
Theoretical analysis of time-to-peak responses in biological reaction
networks.
Bulletin of Mathematical Biology, 73(5):978-1003, 2011.
10.1007/s11538-010-9548-x.
[ DOI |
PubMed |
.pdf ]
|
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[26]
|
E. Lang, R. Schachtner, D. Lutter,
D. Herold, P. Knollmüller, F. Theis,
G. Schmitz, A. Tomé, P. Gomez-Vilda,
C. Puntonet, J. G. Saéz and M. Stetter.
Recent Advances in Biomedical Signal Processing, chapter
Exploratory Matrix Factorization Techniques for Large Scale Biomedical Data
Sets, pages 26-47.
2. Bentham Science Publishers, 2011.
[ .pdf ]
|
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[27]
|
F. Blöchl, D. Wittmann and F. Theis.
Effective parameters determining the information flow in hierarchical
biological systems.
Bulletin of Mathematical Biology, 73(4):706-725, 2011.
10.1007/s11538-010-9604-6.
[ DOI |
PubMed |
.pdf ]
|
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[1]
|
H. Mewes, A. Ruepp, F. Theis, T. Rattei,
M. Walter, D. Frishman, K. Suhre,
M. Spannagl, K. Mayer, V. Stümpflen and
A. Antonov.
MIPS: curated databases and comprehensive secondary data resources in
2010.
Nucleic Acids Res, 2010.
10.1093/nar/gkq1157.
[ DOI |
PubMed |
.pdf ]
|
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[2]
|
R. Franke, F. Theis and S. Klamt.
From Binary to Multivalued to Continuous Models: The lac Operon as a
Case Study.
Journal of Integrative Bioinformatics, 7(1), 2010.
10.2390/biecoll-jib-2010-151.
[ DOI |
PubMed |
.pdf ]
|
|
[3]
|
F. Blöchl, F. Theis, F. Vega-Redondo and
E. Fisher.
Which sectors of a modern economy are most central?
Technical Report 3175, CESifo Working Paper Series, 2010.
[ .pdf ]
|
|
[4]
|
A. Kowarsch, F. Blöchl, S. Bohl,
M. Saile, N. Gretz, U. Klingmüller and
F. Theis.
Knowledge-based matrix factorization temporally resolves the cellular
responses to IL-6 stimulation.
BMC Bioinformatics, 11(585), 2010.
10.1186/1471-2105-11-585.
[ DOI |
PubMed |
.pdf ]
|
|
[5]
|
C. Thiemann, F. Theis, D. Grady, R. Brune
and D. Brockmann.
The structure of borders in a small world.
PLoS ONE, 5(11):e15422, 2010.
10.1371/journal.pone.0015422.
[ DOI |
PubMed |
.pdf ]
|
|
[6]
|
M. Hartsperger, F. Blöchl, V. Stümpflen and
F. Theis.
Structuring heterogeneous biological information using fuzzy
clustering of k-partite graphs.
BMC Bioinformatics, 11(522), 2010.
10.1186/1471-2105-11-522.
[ DOI |
PubMed |
.pdf ]
|
|
[7]
|
F. Blöchl, M. Hartsperger, V. Stümpflen and
F. Theis.
Uncovering the structure of heterogeneus biological data: fuzzy graph
partitioning in the k-partite setting.
In Proc. GCB 2010. 2010.
[ .pdf ]
|
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[8]
|
S. Araki, F. Theis, G. Nolte, D. Lutter,
A. Ozerov, V. Gowreesunker, H. Sawada and
N. Duong.
The 2010 Signal Separation Evaluation Campaign (SiSEC2010):
Biomedical source separation.
In Proc. ICA 2010, volume 6365 of LNCS, pages
123-130. Springer, St. Malo, France, 2010.
[ .pdf ]
|
|
[9]
|
S. Araki, A. Ozerov, V. Gowreesunker,
H. Sawada, F. Theis, G. Nolte, D. Lutter
and N. Duong.
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio
source separation.
In Proc. ICA 2010, volume 6365 of LNCS, pages
114-122. Springer, St. Malo, France, 2010.
[ .pdf ]
|
|
[10]
|
H. Gutch, T. Maehara and F. Theis.
Second Order Subspace Analysis and Simple Decompositions.
In Proc. ICA 2010, volume 6365 of LNCS, pages
370-377. Springer, St. Malo, France, 2010.
[ .pdf ]
|
|
[11]
|
H. Gutch, P. Gruber and F. Theis.
ICA over finite fields.
In Proc. ICA 2010, volume 6365 of LNCS, pages
645-652. Springer, St. Malo, France, 2010.
[ .pdf ]
|
|
[12]
|
F. Blöchl, A. Kowarsch and F. Theis.
Second-order source separation based on prior knowledge realized in a
graph model.
In Proc. ICA 2010, volume 6365 of LNCS, pages
434-441. Springer, St. Malo, France, 2010.
[ .pdf ]
|
|
[13]
|
F. Theis, N. Müller, C. Plant and
C. Böhm.
Robust second-order source separation identifies experimental
responses in biomedical imaging.
In Proc. ICA 2010, volume 6365 of LNCS, pages
466-473. Springer, St. Malo, France, 2010.
[ .pdf ]
|
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[14]
|
C. Plant, F. Theis, A. Meyer-Baese and
C. Böhm.
Information-theoretic Model Selection for Independent Components.
In Proc. ICA 2010, volume 6365 of LNCS, pages
254-262. Springer, St. Malo, France, 2010.
[ .pdf ]
|
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[15]
|
A. Meyer-Baese and F. Theis.
Robust Stability Analysis and Design Under Consideration of Multiple
Feedback Loops in the Tryptophan Regulatory Network of E. coli.
In Proc. WORLDCOMP 2010. 2010.
[ .pdf ]
|
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[16]
|
A. Meyer-Baese, C. Plant, S. Cappendijk and
F. Theis.
Robust Stability Analysis of Multi-Time Scale Genetic Regulatory
Networks under Parametric Uncertainties.
In Proc. WORLDCOMP 2010. 2010.
[ .pdf ]
|
|
[17]
|
W. Konopka, A. Kiryk, M. Novak,
M. Herwerth, J. R. Parkitna, M. Wawrzyniak,
A. Kowarsch, P. Michaluk, T. Arnsperger,
G. Wilczynski, M. Merkenschlager, F. Theis,
G. Köhr, L. Kaczmarek and G. Schütz.
MicroRNA loss enhances learning and memory in mice.
Journal of Neuroscience, 30(44):14835-14842, 2010.
10.1523/JNEUROSCI.3030-10.2010.
[ DOI |
PubMed |
.pdf ]
|
|
[18]
|
D. Wittmann, C. Marr and F. Theis.
Biologically meaningful update rules increase the critical
connectivity of generalized Kauffman networks.
Journal of Theoretical Biology, 266:436-448, 2010.
10.1016/j.jtbi.2010.07.007.
[ DOI |
PubMed |
.pdf ]
|
|
[19]
|
A. Kowarsch, C. Marr, D. Schmidl, A. Ruepp
and F. Theis.
Tissue-specific target analysis of disease-associated microRNAs in
human signaling pathways.
PLoS ONE, 5(6):e11154, 2010.
10.1371/journal.pone.0011154.
[ DOI |
PubMed |
.pdf ]
|
|
[20]
|
F. Theis.
Colored subspace analysis: dimension reduction based on a signal's
autocorrelation structure.
IEEE Transactions on Circuits and Systems I, 57(7):1-12,
2010.
dx.doi.org/10.1109/TCSI.2010.2052485.
[ DOI |
.pdf ]
|
|
[21]
|
M. Ansorg, F. Blöchl, W. zu Castell,
F. Theis and D. Wittmann.
Gene Regulation at the Mid-Hindbrain Boundary: Study of a
Mathematical Model in the Stationary Limit.
International Journal of Biomathematics and Biostatistics,
2010.
[ .pdf ]
|
|
[22]
|
C. Marr, F. Theis, L. Liebovitch and
M. Hütt.
Patterns of subnet usage reveal distinct scales of regulation in the
transcriptional regulatory network of Escherichia coli.
PLoS Computational Biology, 6(7):e1000836, 2010.
10.1371/journal.pcbi.1000836.
[ DOI |
PubMed |
.pdf ]
|
|
[23]
|
D. Lutter, C. Marr, J. Krumsiek, E. Lang
and F. Theis.
Intronic microRNAs support their host genes by mediating
synergistic and antagonistic regulatory effects.
BMC Genomics, 11(224), 2010.
10.1186/1471-2164-11-224.
[ DOI |
PubMed |
.pdf ]
|
|
[24]
|
A. Ruepp, A. Kowarsch, D. Schmidl,
F. Buggenthin, B. Brauner, I. Dunger,
G. Fobo, G. Frishman, C. Montrone and
F. Theis.
PhenomiR: a knowledgebase for microRNA expression in diseases and
biological processes.
Genome Biology, 11(1):R6, 2010.
10.1186/gb-2010-11-1-r6.
[ DOI |
PubMed |
.pdf ]
|
|
[25]
|
A. Meyer-Baese, F. Theis and M. Emmett.
Advances in Computational Biology, volume 680 of
Advances in Experimental Medicine and Biology, chapter Robust
Stability Analysis and Design Under Consideration of Multiple Feedback Loops
of the Tryptophan Regulatory Network of Escherichia coli, pages 189-197.
Springer, 2010.
10.1007/978-1-4419-5913-3_22.
[ DOI |
PubMed |
.pdf ]
|
|
[26]
|
L. Kreuzpointner, P. Simon and F. Theis.
The a-d coefficient as a descriptive measure of the within-group
agreement of ratings.
British Journal of Mathematical and Statistical Psychology,
63:341-360, 2010.
10.1348/000711009X465647.
[ DOI |
PubMed |
.pdf ]
|
|
[27]
|
J. Krumsiek, S. Poelsterl, D. Wittmann and
F. Theis.
Odefy - From discrete to continuous models.
BMC Bioinformatics, 11(233), 2010.
10.1186/1471-2105-11-233.
[ DOI |
PubMed |
.pdf ]
|
|
[28]
|
F. Theis and A. Meyer-Baese.
Biomedical Signal Analysis - Contemporary Methods and
Applications.
MIT Press, 2010.
[ .pdf ]
|
|
[1]
|
P. Georgiev and F. Theis.
Handbook of Optimization in Medicine, volume 26 of
Springer Optimization and Its Applications, chapter Optimization
Techniques for Data Representations with Biomedical Applications, pages
253-300.
Springer, 2009.
10.1007/978-0-387-09770-1.
[ DOI |
.pdf ]
|
|
[2]
|
K. Webb, W. Norton, D. Trümbach,
A. Meijer, J. Ninkovic, S. Topp, D. Heck,
C. Marr, W. Wurst, F. Theis, H. Spaink
and L. Bally-Cuif.
Zebrafish reward mutants reveal novel transcripts mediating the
behavioral effects of amphetamine.
Genome Biology, 10(7):R81, 2009.
10.1186/gb-2009-10-7-r81.
[ DOI |
PubMed |
.pdf ]
|
|
[3]
|
D. Wittmann, J. Krumsiek, J. Saez-Rodriguez,
D. Lauffenburger, S. Klamt and F. Theis.
Transforming Boolean Models to Continuous Models: Methodology and
Application to T-Cell Receptor Signaling.
BMC Systems Biology, 3(98), 2009.
10.1186/1752-0509-3-98.
[ DOI |
PubMed |
.pdf ]
|
|
[4]
|
P. Gruber, A. Meyer-Baese, S. Foo and
F. Theis.
ICA, kernel methods and nonnegativity: New paradigms for dynamical
component analysis of fMRI data.
Engineering Applications of Artificial Intelligence,
22(4-5):497-504, 2009.
10.1016/j.engappai.2008.11.010.
[ DOI |
.pdf ]
|
|
[5]
|
S. Klamt, U. Haus and F. Theis.
Hypergraphs and cellular networks.
PLoS Computational Biology, 5(5), 2009.
10.1371/journal.pcbi.1000385.
[ DOI |
PubMed |
.pdf ]
|
|
[6]
|
F. Theis, R. Neher and A. Zeug.
Blind Decomposition of Spectral Imaging Microscopy: A Study on
Artificial and Real Test Data.
In Proc. ICA 2009, volume 5441 of LNCS, pages
548-556. Springer, Paraty, Brazil, 2009.
[ .pdf ]
|
|
[7]
|
F. Theis, T. Cason and P.-A. Absil.
Soft Dimension Reduction for ICA by Joint Diagonalization on the
Stiefel Manifold.
In Proc. ICA 2009, volume 5441 of LNCS, pages
354-361. Springer, Paraty, Brazil, 2009.
[ .pdf ]
|
|
[8]
|
P. Gruber, H. Gutch and F. Theis.
Hierarchical Extraction of Independent Subspaces of Unknown
Dimensions.
In Proc. ICA 2009, volume 5441 of LNCS, pages
259-266. Springer, Paraty, Brazil, 2009.
[ .pdf ]
|
|
[9]
|
F. Blöchl and F. Theis.
Estimating hidden influences in metabolic and gene regulatory
networks.
In Proc. ICA 2009, volume 5441 of LNCS, pages
387-394. Springer, Paraty, Brazil, 2009.
[ .pdf ]
|
|
[10]
|
R. Neher, M. Mitkovski, F. Kirchhoff,
E. Neher, F. Theis and A. Zeug.
Blind source separation techniques for the decomposition of multiply
labeled fluorescence images.
Biophysical Journal, 96(9):3791-3800, 2009.
10.1016/j.bpj.2008.10.068.
[ DOI |
PubMed |
.pdf ]
|
|
[11]
|
D. Wittmann, F. Blöchl, N. Prakash,
D. Trümbach, W. Wurst and F. Theis.
Spatial analysis of expression patterns predicts genetic interactions
at the mid-hindbrain boundary.
PLoS Computational Biology, 5(11):e1000569, 2009.
10.1371/journal.pcbi.1000569.
[ DOI |
PubMed |
.pdf ]
|
|
[12]
|
D. Wittmann, D. Schmidl, F. Blöchl and
F. Theis.
Reconstruction of graphs based on random walks.
Journal of Theoretical Computer Science, 410:3826-3838, 2009.
10.1016/j.tcs.2009.05.026.
[ DOI |
.pdf ]
|
|
[1]
|
J. Ramírez, J. Górriz,
M. Gómez-Río, A. Romero, R. Chaves,
A. Lassl, A. Rodríguez, C. Puntonet,
F. Theis and E. Lang.
Effective Emission Tomography Image Reconstruction Algorithms for
SPECT Data.
In Proc. ICCS 2008, volume 5101 of LNCS, pages
741-748. Springer, 2008.
|
|
[2]
|
P. Wong, S. Althammer, A. Hildebrand,
A. Kirschner, P. Pagel, B. Geissler,
P. Smialowski, F. Bloechl, M. Oesterheld,
T. Schmidt, N. Strack, F. Theis, A. Ruepp
and D. Frishman.
An evolutionary and structural characterization of mammalian protein
complex organization.
BMC Genomics, 9(1):629, 2008.
10.1186/1471-2164-9-629.
[ DOI |
PubMed |
.pdf ]
|
|
[3]
|
D. Brockmann and F. Theis.
Money Circulation, Trackable Items, and the Emergence of Universal
Human Mobility Patterns.
IEEE Pervasive Computing, 7(4):28-35, 2008.
10.1109/MPRV.2008.77.
[ DOI |
.pdf ]
|
|
[4]
|
B. Adamcio, D. Sargin, A. Stradomska,
L. Medrihan, C. Gertler, F. Theis,
M. Zhang, M. Müller, I. Hassouna,
K. Hannke, S. Sperling, K. Radyushkin,
A. El-Kordi, L. Schulze, A. Ronnenberg,
F. Wolf, N. Brose, J. Rhee, W. Zhang and
H. Ehrenreich.
Erythropoietin enhances hippocampal long-term potentiation and
memory.
BMC Biology, 6(37), 2008.
10.1186/1741-7007-6-37.
[ DOI |
PubMed |
.pdf ]
|
|
[5]
|
M. Begemann, D. Sargin, M. Rossner,
C. Bartels, F. Theis, S. Wichert,
N. Stender, B. Fischer, S. Sperling,
S. Stawicki, A. Wiedl, P. Falkai, K. Nave
and H. Ehrenreich.
Episode-specific differential gene expression of peripheral blood
mononuclear cells in rapid cycling supports novel treatment approaches.
Mol Med, 14(9-10):546-552, 2008.
10.2119/2008-00053.Begemann.
[ DOI |
PubMed |
.PDF ]
|
|
[6]
|
K. Stadlthanner, F. Theis, E. Lang,
A. Tomé, C. Puntonet and J. Górriz.
Hybridizing sparse component analysis with genetic algorithms for
microarray analysis.
Neurocomputing, 71:2356-2376, 2008.
10.1016/j.neucom.2007.09.017.
[ DOI |
.pdf ]
|
|
[7]
|
A. Meyer-Baese and F. Theis.
Stochastic Stability Analysis of the Heat Shock Response in E. Coli.
In Proc. BIOCOMP '08. 2008.
[ .pdf ]
|
|
[8]
|
A. Meyer-Baese and F. Theis.
Gene regulatory networks simplified by nonlinear balanced truncation.
In SPIE Proceedings, volume 6979. 2008.
[ .pdf ]
|
|
[9]
|
R. Schachtner, D. Lutter, P. Knollmüller,
A. Tomé, F. Theis, G. Schmitz,
M. Stetter, P. G. Vilda and E. Lang.
Knowledge-based Gene Expression Classification via Matrix
Factorization.
Bioinformatics, 24(15):1688-1697, 2008.
10.1093/bioinformatics/btn245.
[ DOI |
PubMed |
.pdf ]
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[10]
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D. Lutter, P. Ugocsai, M. Grandl, E. Orso,
F. Theis, E. Lang and G. Schmitz.
Analyzing M-CSF dependent monocyte/macrophage differentiation:
expression modes and meta-modes derived from an independent component
analysis.
BMC Bioinformatics, 9(100), 2008.
10.1186/1471-2105-9-100.
[ DOI |
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.pdf ]
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[11]
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F. Theis, P. Gruber, I. Keck and E. Lang.
A Robust Model for Spatiotemporal Dependencies.
Neurocomputing, 71(10-12):2209-2216, 2008.
10.1016/j.neucom.2007.06.012.
[ DOI |
.pdf ]
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[1]
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F. Theis.
Statistical machine learning of biomedical data.
In Habilitation an der NWF II -Physik der Universität
Regensburg. 2007.
[ .pdf ]
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[2]
|
R. Schachtner, D. Lutter, F. Theis,
E. Lang, G. Schmitz, A. Tomé and
P. Gomez-Vilda.
How to extract marker genes from microarray data sets.
In In Proc. Conf Proc IEEE Eng Med Biol Soc 2007, volume
2007, pages 4215-4218. Institute for Biophysics, Computational Intelligence
Group, University of Regensburg, Regensburg, Germany., 2007.
10.1109/IEMBS.2007.4353266.
[ DOI |
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[3]
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K. Stadlthanner, F. Theis, E. Lang,
A. Tomé and C. Puntonet.
Blind Matrix Decomposition Via Genetic Optimization of Sparseness and
Nonnegativity Constraints.
In Proc. ICANN 2007, pages 799-808. 2007.
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[4]
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J. M. Herrmann and F. Theis.
Statistical analysis of sample-size effects in ICA.
In Intelligent Data Engineering and Automated Learning, number
4881 in LNCS. Springer, 2007.
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[5]
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P. Georgiev, F. Theis and A. Ralescu.
Identifiability conditions and subspace clustering in sparse BSS.
In Proc. ICA 2007, volume 4666 of LNCS, pages
357-364. Springer, London, U.K., 2007.
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[6]
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P. Gruber, C. Kohler and F. Theis.
A toolbox for model-free analysis of fMRI data.
In Proc. ICA 2007, volume 4666 of LNCS, pages
209-217. Springer, London, U.K., 2007.
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[7]
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R. Schachtner, D. Lutter, F. Theis,
E. Lang, A. Tomé, J. G. Saéz and
C. Puntonet.
Blind Matrix Decomposition Techniques to Identify Marker Genes from
Microarrays.
In Proc. ICA 2007, volume 4666 of LNCS, pages
649-656. Springer, London, U.K., 2007.
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[8]
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C. Févotte and F. Theis.
Pivot selection strategies in Jacobi joint block-diagonalization.
In Proc. ICA 2007, volume 4666 of LNCS, pages
177-184. Springer, London, U.K., 2007.
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[9]
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H. Gutch and F. Theis.
Independent Subspace Analysis is unique, given irreducibility.
In Proc. ICA 2007, volume 4666 of LNCS, pages 49-56.
Springer, London, U.K., 2007.
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[10]
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F. Theis and M. Kawanabe.
Colored subspace analysis.
In Proc. ICA 2007, volume 4666 of LNCS, pages
121-128. Springer, London, U.K., 2007.
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[11]
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C. Févotte and F. Theis.
Orthonormal approximate joint block-diagonalization.
Technical report, GET/Télécom Paris, 2007.
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[12]
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M. Kawanabe and F. Theis.
Joint low-rank approximation for extracting non-Gaussian subspaces.
Signal Processing, 87:1890-1903, 2007.
10.1016/j.sigpro.2007.01.033.
[ DOI |
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[13]
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F. Theis.
Towards a general independent subspace analysis.
In Proc. NIPS 2006, pages 1361-1368. 2007.
[ .pdf ]
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F. Theis, P. Georgiev and A. Cichocki.
Robust sparse component analysis based on a generalized Hough
transform.
EURASIP Journal on Applied Signal Processing, 2007.
10.1016/j.sigpro.2005.05.032.
[ DOI |
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I. Keck, J. Churan, F. Theis, P. Gruber,
E. Lang and C. Puntonet.
Region of Interest Based Independent Component Analysis.
In Proc. ICONIP 2006, volume 1, pages 1048-1057. 2006.
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[2]
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C. Févotte and F. Theis.
Orthonormal approximate joint block-diagonalization, 2006.
Preprint, see
http://www.biologie.uni-regensburg.de/Biophysik/Theis/researchjbd.html.
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[3]
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I. Keck, F. Theis, P. Gruber, E. Lang,
J. Churan and C. Puntonet.
Model-free Region Of Interest Based Analysis of fMRI Data.
In Proc. MELECON 2006, pages 478-481. Malaga, Spain, 2006.
[ .pdf ]
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[4]
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P. Georgiev, F. Theis and A. Cichocki.
Multiscale Optimization Methods and Applications, volume 82 of
Nonconvex Optimization and Its Applications, chapter Optimization
algorithms for sparse representations and applications, pages 85-100.
Springer, 2006.
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[5]
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M. Böhm, K. Stadlthanner, P. Gruber,
F. Theis, E. Lang, A. Tomé,
A. Teixeira, W. Gronwald and H. Kalbitzer.
On the use of simulated annealing to automatically assign independent
components.
IEEE Transactions on Biomedical Engineering, 53(5):810-820,
2006.
10.1109/TBME.2005.863968.
[ DOI |
PubMed |
.pdf ]
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[6]
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P. Georgiev, P. Pardalos and F. Theis.
A Bilinear Algorithm for Sparse Representations.
Computational Optimization and Applications, 2006.
10.1007/s10589-007-9043-y.
[ DOI |
.pdf ]
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[7]
|
F. Theis and G. García.
On the use of sparse signal decomposition in the analysis of
multi-channel surface electromyograms.
Signal Processing, 86(3):603-623, 2006.
10.1016/j.sigpro.2005.05.032.
[ DOI |
.pdf ]
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[8]
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F. Theis, C. Puntonet and E. Lang.
Median-based clustering for underdetermined blind signal processing.
IEEE Signal Processing Letters, 13(2):96-99, 2006.
10.1109/LSP.2005.861590.
[ DOI |
.pdf ]
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[9]
|
K. Stadlthanner, A. Tomé, F. Theis,
E. Lang, W. Gronwald and H. Kalbitzer.
Separation of water artifacts in 2D NOESY protein spectra using
congruent matrix pencils.
Neurocomputing, 69:497-522, 2006.
10.1016/j.neucom.2005.02.008.
[ DOI |
.pdf ]
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[10]
|
A. Meyer-Baese, P. Gruber, F. Theis and
S. Foo.
Blind Source Separation Based On Self-Organizing Neural Network.
Engineering Applications of Artificial Intelligence,
19:305-311, 2006.
10.1016/j.engappai.2005.09.006.
[ DOI |
.pdf ]
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[11]
|
D. Lutter, K. Stadlthanner, F. Theis, E. W.
Lang, A. Tomé, B. Becker and T. Vogt.
Analyzing gene expression profiles with ICA.
In Proc. BioMED 2006. Innsbruck, Austria, 2006.
[ .pdf ]
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[12]
|
F. Theis and M. Kawanabe.
Uniqueness of non-gaussian subspace analysis.
In Proc. ICA 2006, volume 3889 of LNCS, pages
917-925. Springer, Charleston, USA, 2006.
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[13]
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P. Gruber, K. Stadlthanner, M. Böhm,
F. Theis, E. Lang, A. Tomé,
A. Teixeira, C. Puntonet and J. G. Saéz.
Denoising using local projective subspace methods.
Neurocomputing, 69:1485-1501, 2006.
10.1016/j.neucom.2005.12.025.
[ DOI |
.pdf ]
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[14]
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M. Kawanabe and F. Theis.
Estimating non-gaussian subspaces by characteristic functions.
In Proc. ICA 2006, volume 3889 of LNCS, pages
157-164. Springer, Charleston, USA, 2006.
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[15]
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K. Stadlthanner, F. Theis, E. Lang,
C. Puntonet, P. Gomez-Vilda, A. Tomé,
T. Langmann and G. Schmitz.
Sparse nonnegative matrix factorization applied to microarray data
sets.
In Proc. ICA 2006, volume 3889 of LNCS, pages
254-261. Springer, Charleston, USA, 2006.
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[16]
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F. Theis and Y. Inouye.
On the use of joint diagonalization in blind signal processing.
In Proc. ISCAS 2006. Kos, Greece, 2006.
[ .pdf ]
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[17]
|
S. Squartini, F. Piazza and F. Theis.
New Riemannian metrics for speeding-up the convergence of over- and
underdetermined ICA.
In Proc. ISCAS 2006. Kos, Greece, 2006.
[ .pdf ]
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[18]
|
F. Theis and T. Tanaka.
Sparseness by iterative projections onto spheres.
In Proc. ICASSP 2006. Toulouse, France, 2006.
[ .pdf ]
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[19]
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A. Meyer-Baese, V. Thümmler and F. Theis.
Stability Analysis of an Unsupervised Competitive Neural Network.
In Proc. IJCNN 2006. Vancouver, Canada, 2006.
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[20]
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P. Gruber and F. Theis.
Grassmann clustering.
In Proc. EUSIPCO 2006. Florence, Italy, 2006.
[ .pdf ]
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[1]
|
F. Theis and P. Gruber.
On model identifiability in analytic postnonlinear ICA.
Neurocomputing, 64:223-234, 2005.
10.1016/j.neucom.2004.11.015.
[ DOI |
.pdf ]
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[2]
|
P. Georgiev, F. Theis and A. Cichocki.
Sparse Component Analysis and Blind Source Separation of
Underdetermined Mixtures.
IEEE Transactions on Neural Networks, 16(4):992-996, 2005.
10.1109/TNN.2005.849840.
[ DOI |
PubMed |
.pdf ]
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[3]
|
P. Georgiev, P. Pardalos, F. Theis,
A. Cichocki and H. Bakardjian.
Data Mining in Biomedicine, chapter Sparse component analysis:
a new tool for data mining.
Springer, in print, 2005.
[ .pdf ]
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[4]
|
F. Theis.
Blind signal separation into groups of dependent signals using joint
block diagonalization.
In Proc. ISCAS 2005, pages 5878-5881. Kobe, Japan, 2005.
[ .pdf ]
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[5]
|
M. Böhm, K. Stadlthanner, E. Lang,
A. Tomé, P. Gruber, A. Teixeira,
F. Theis and C. Puntonet.
A hybridization of simulated annealing and local PCA for automatic
component assignment within ICA.
In Proc. IWANN 2005, volume 3512 of LNCS, pages
1075-1082. Springer, Barcelona, Spain, 2005.
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[6]
|
K. Stadlthanner, F. Theis, C. Puntonet and
E. Lang.
Extended sparse nonnegative matrix factorization.
In Proc. IWANN 2005, volume 3512 of LNCS, pages
249-256. Springer, Barcelona, Spain, 2005.
[ .pdf ]
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[7]
|
M. Böhm, K. Stadlthanner, A. Tomé,
P. Gruber, A. Teixeira, F. Theis,
C. Puntonet and E. Lang.
AutoAssign - An automated assignment tool for independent
components.
In Proc. IbPRIA 2005, volume 3523 of LNCS, pages
75-82. Springer, Estoril, Portugal, 2005.
10.1007/b136831.
[ DOI ]
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[8]
|
I. Keck, F. Theis, P. Gruber, E. Lang,
K. Specht, G. Fink, A. Tomé and
C. Puntonet.
Automated clustering of ICA results for fMRI data analysis.
In Proc. CIMED 2005, pages 211-216. Lisbon, Portugal, 2005.
[ .pdf ]
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[9]
|
F. Theis, P. Gruber, I. Keck, A. Tomé
and E. Lang.
A spatiotemporal second-order algorithm for fMRI data analysis.
In Proc. CIMED 2005, pages 194-201. Lisbon, Portugal, 2005.
[ .pdf ]
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[10]
|
F. Theis, K. Stadlthanner and T. Tanaka.
First results on uniqueness of sparse non-negative matrix
factorization.
In Proc. EUSIPCO 2005. Antalya, Turkey, 2005.
[ .pdf ]
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[11]
|
F. Theis, P. Gruber, I. Keck,
A. Meyer-Baese and E. Lang.
Spatiotemporal blind source separation using double-sided approximate
joint diagonalization.
In Proc. EUSIPCO 2005. Antalya, Turkey, 2005.
[ .pdf ]
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[12]
|
F. Theis.
Multidimensional independent component analysis using characteristic
functions.
In Proc. EUSIPCO 2005. Antalya, Turkey, 2005.
[ .pdf ]
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[13]
|
A. Meyer-Baese, P. Gruber, F. Theis,
A. Wismüller and H. Ritter.
Application of unsupervised clustering methods to biomedical image
analysis.
In Proc. WSOM 2005, pages 621-628. Paris, France, 2005.
[ .pdf ]
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[14]
|
F. Theis, P. Gruber, I. Keck and E. Lang.
Functional MRI analysis by a novel spatiotemporal ICA algorithm.
In Proc. ICANN 2005, volume 3696 of LNCS, pages
677-682. Springer, Warsaw, Poland, 2005.
[ .pdf ]
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[15]
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F. Theis and T. Tanaka.
A Fast and Efficient Method for Compressing fMRI Data Sets.
In Proc. ICANN 2005, volume 3697 of LNCS, pages
769-777. Springer, Warsaw, Poland, 2005.
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[16]
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J. Górriz, J. Ramírez, C. Puntonet,
F. Theis and E. Lang.
Bispectrum-Based Statistical Tests for VAD.
In Proc. ICANN 2005, volume 3697 of LNCS, pages
541-546. Springer, Warsaw, Poland, 2005.
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[17]
|
M. Böhm, K. Stadlthanner, E. Lang,
F. Theis, P. Gruber, A. Tomé,
A. Teixeira and C. Puntonet.
An algorithm for automatic assignment of artifact-related independent
components in biomedical signal analysis.
In Proc. IJCNN 2005, pages 2463-2468. Montréal, Canada,
2005.
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[18]
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K. Stadlthanner, F. Theis, E. Lang and
C. Puntonet.
Hybridizing Sparse Component Analysis with Genetic Algorithms for
Blind Source Separation.
In Proc. ISBMDA 2005, pages 137-148. Aveiro, Portugal,
2005.
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[19]
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F. Theis.
Gradients on matrix manifolds and their chain rule.
Neural Information Processing LR, 9(1):1-13, 2005.
10.1.1.79.6091.
[ DOI |
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[20]
|
F. Theis.
Wer mit Lucene suchet, der findet.
Java Magazin, 3:83-87, 2005.
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|
F. Theis, E. Lang and C. Puntonet.
A Geometric Algorithm for Overcomplete Linear ICA.
Neurocomputing, 56:381-398, 2004.
10.1016/j.neucom.2003.09.008.
[ DOI |
.pdf ]
|
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[2]
|
F. Theis.
Uniqueness of complex and multidimensional independent component
analysis.
Signal Processing, 84(5):951-956, 2004.
10.1016/j.sigpro.2004.01.008.
[ DOI |
.pdf ]
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[3]
|
A. Krause, D. Hartl, F. Theis, M. Stangl,
K. Gerauer and A. Mehlhorn.
Mobile decision support for transplantation patient data.
International Journal of Medical Informatics, 73:461-464,
2004.
10.1016/j.ijmedinf.2004.04.003.
[ DOI |
PubMed |
.pdf ]
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[4]
|
P. Georgiev, F. Theis and A. Cichocki.
Blind source separation and sparse component analysis of overcomplete
mixtures.
In Proc. ICASSP 2004, volume 5, pages 493-496. Montreal,
Canada, 2004.
[ .pdf ]
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[5]
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F. Theis, Z. Kohl, H. Kuhn, H. Stockmeier
and E. Lang.
Automated counting of labelled cells in rodent brain section images.
In Proc. BioMED 2004, pages 209-212. ACTA Press, Canada,
Innsbruck, Austria, 2004.
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[6]
|
H. Stockmeier, W. Bäumler, R.-M. Szeimies,
F. Theis, E. Lang and C. Puntonet.
Classification of skin lesions by fluorscence diagnosis and
independent component analysis.
In Proc. BioMED 2004, pages 201-204. ACTA Press, Canada,
Innsbruck, Austria, 2004.
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[7]
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P. Gruber, F. Theis, A. Tomé and E. Lang.
Automatic Denoising using Local Independent Component Analysis.
In Proc. EIS 2004. Madeira, Portugal, 2004.
[ .pdf ]
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[8]
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F. Theis, P. Gruber, C. Puntonet and
E. Lang.
Connecting geometric independent component analysis to unsupervised
learning algorithms.
In Proc. EIS 2004. Madeira, Portugal, 2004.
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[9]
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F. Theis and P. Gruber.
Separability of analytic postnonlinear blind source separation with
bounded sources.
In Proc. ESANN 2004, pages 217-222. d-side, Evere, Belgium,
Bruges, Belgium, 2004.
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[10]
|
F. Theis and E. Lang.
Linearization identification and an application to BSS using a
SOM.
In Proc. ESANN 2004, pages 205-210. d-side, Evere, Belgium,
Bruges, Belgium, 2004.
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[11]
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F. Theis, P. Georgiev and A. Cichocki.
Robust overcomplete matrix recovery for sparse sources using a
generalized Hough transform.
In Proc. ESANN 2004, pages 343-348. d-side, Evere, Belgium,
Bruges, Belgium, 2004.
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[12]
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F. Theis and C. Puntonet.
BSS-ICA basado en Métodos Geométricos.
Technical Report 442-2004, Monografía del Dpto. de Arquitectura y
Tecnología de Computadores, 2004.
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F. Theis.
A new concept for separability problems in blind source separation.
Neural Computation, 16:1827-1850, 2004.
10.1162/089976603762552979.
[ DOI |
PubMed |
.pdf ]
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P. Gruber, F. Theis, K. Stadlthanner,
E. Lang, A. Tomé and A. Teixeira.
Denoising using local ICA and Kernel-PCA.
In Proc. IJCNN 2004, pages 2071-2076. Budapest, Hungary,
2004.
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[15]
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K. Stadlthanner, E. Lang, P. Gruber,
F. Theis, A. Tomé, A. Teixeira and
C. Puntonet.
Kernel-PCA Denoising of Artifact-free Protein NMR Spectra.
In Proc. IJCNN 2004, pages 1959-1964. Budapest, Hungary,
2004.
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[16]
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I. Keck, F. Theis, P. Gruber, E. Lang,
K. Specht and C. Puntonet.
3D Spatial Analysis of fMRI Data - a Comparison of ICA and
GLM Analysis on a Word Perception Task.
In Proc. IJCNN 2004, pages 2495-2500. Budapest, Hungary,
2004.
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[17]
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F. Theis and E. Lang.
Postnonlinear Blind Source Separation via Linearization
Identification.
In Proc. IJCNN 2004, pages 2199-2204. Budapest, Hungary,
2004.
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[18]
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A. Meyer-Baese, F. Theis, O. Lange and
A. Wismüller.
Clustering of Dependent Components: A New Paradigm for fMRI Signal
Detection.
In Proc. IJCNN 2004, pages 1947-1952. Budapest, Hungary,
2004.
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[19]
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P. Georgiev, F. Theis and A. Ralescu.
Sparse Representation of Data and Support Vector Machines.
In Proc. IPMU 2004. Perugia, Italy, 2004.
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[20]
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F. Theis.
Uniqueness of real and complex linear independent component analysis
revisited.
In Proc. EUSIPCO 2004, pages 1705-1708. Vienna, Austria,
2004.
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[21]
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F. Theis and W. Nakamura.
Quadratic independent component analysis.
IEICE Trans. Fundamentals, E87-A(9):2355-2363, 2004.
[ .pdf ]
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[22]
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P. Georgiev and F. Theis.
Blind source separation of linear mixtures with singular matrices.
In Proc. ICA 2004, volume 3195 of LNCS, pages
121-128. Springer, Granada, Spain, 2004.
[ .pdf ]
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[23]
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I. Keck, F. Theis, P. Gruber, E. Lang,
K. Specht and C. Puntonet.
3D spatial analysis of fMRI data on a word perception task.
In Proc. ICA 2004, volume 3195 of LNCS, pages
977-984. Springer, Granada, Spain, 2004.
[ .pdf ]
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[24]
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P. Gruber, K. Stadlthanner, A. Tomé,
A. Teixeira, F. Theis, C. Puntonet and
E. Lang.
Denoising using local ICA and a generalized eigendecomposition with
time-delayed signals.
In Proc. ICA 2004, volume 3195 of LNCS, pages
992-1000. Springer, Granada, Spain, 2004.
[ .pdf ]
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[25]
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A. Meyer-Baese, F. Theis, O. Lange and
C. Puntonet.
Tree-dependent and topographic independent component analysis for
fMRI analysis.
In Proc. ICA 2004, volume 3195 of LNCS, pages
782-789. Springer, Granada, Spain, 2004.
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[26]
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F. Theis, A. Meyer-Baese and E. Lang.
Second-order blind source separation based on multi-dimensional
autocovariances.
In Proc. ICA 2004, volume 3195 of LNCS, pages
726-733. Springer, Granada, Spain, 2004.
[ .pdf ]
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[27]
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F. Theis and S. Amari.
Postnonlinear overcomplete blind source separation using sparse
sources.
In Proc. ICA 2004, volume 3195 of LNCS, pages
718-725. Springer, Granada, Spain, 2004.
[ .pdf ]
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[28]
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F. Theis, Z. Kohl, C. Guggenberger,
H. Kuhn, C. Puntonet and E. Lang.
ZANE - an algorithm for counting labelled cells in section images.
In Proc. MEDSIP 2004. Malta, 2004.
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[29]
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F. Theis, P. Georgiev and A. Cichocki.
Blind source recovery: algorithm comparison and fusion.
In Proc. MaxEnt 2004, volume 735 of AIP conference
proceedings, pages 320-327. Garching, Germany, 2004.
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[30]
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J. Karvanen and F. Theis.
Spatial ICA of fMRI data in time windows.
In Proc. MaxEnt 2004, volume 735 of AIP conference
proceedings, pages 312-319. Garching, Germany, 2004.
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F. Theis.
Blind sensor characteristics estimation in a multi-sensor network
applied to fMRI analysis.
In Proc. ISSNIP 2004. 2004.
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M. Hardt and F. Theis.
Suchmaschinen entwickeln mit Apache Lucene.
Software & Support Verlag, 2004.
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F. Theis, A. Jung, C. Puntonet and E. Lang.
Linear Geometric ICA: Fundamentals and Algorithms.
Neural Computation, 15:419-439, 2003.
10.1162/089976603762552979.
[ DOI |
PubMed |
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[2]
|
F. Theis, C. Puntonet and E. Lang.
A Histogram-Based Overcomplete ICA Algorithm.
In Proc. ICA 2003, pages 1071-1076. Nara, Japan, 2003.
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[3]
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F. Theis, C. Puntonet and E. Lang.
Nonlinear Geometric ICA.
In Proc. ICA 2003, pages 275-280. Nara, Japan, 2003.
[ .pdf ]
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[4]
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M. Alvarez, F. Rojas, C. Puntonet,
J. Ortega, F. Theis and E. Lang.
A Geometric ICA Procedure Based on a Lattice of the Observation
Space.
In Proc. ICA 2003, pages 1101-1106. Nara, Japan, 2003.
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[5]
|
K. Stadlthanner, A. Tomé, F. Theis,
W. Gronwald, H.-R. Kalbitzer and E. Lang.
Blind Source Separation of Water Artefacts in NMR Spectra using a
Matrix Pencil.
In Proc. ICA 2003, pages 167-172. Nara, Japan, 2003.
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[6]
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F. Theis, C. Puntonet and E. Lang.
An Improved Geometric Overcomplete Blind Source Separation Algorithm.
In Proc. IWANN 2003, volume 2687 of LNCS, pages
265-272. Springer, 2003.
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[7]
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K. Stadlthanner, A. Tomé, F. Theis and
E. Lang.
A Generalized Eigendecomposition Approach Using Matrix Pencils to
Remove Artifacts from 2D NMR Spectra.
In Proc. IWANN 2003, volume 2687 of LNCS, pages
575-582. Springer, 2003.
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[8]
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F. Theis, C. Puntonet and E. Lang.
Generalizing Geometric ICA to Nonlinear Settings.
In Proc. IWANN 2003, volume 2687 of LNCS, pages
687-694. Springer, 2003.
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[9]
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F. Theis, M. Alvarez, C. Puntonet and
E. Lang.
An Adaptive Approach to Blind Source Separation Using a
Self-Organizing Map and a Neural Gas.
In Proc. IWANN 2003, volume 2687 of LNCS, pages
695-702. Springer, 2003.
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[10]
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F. Theis.
Mathematics in Independent Component Analysis.
In Proc. ISSPA 2003, volume 2, pages 609-610. Paris,
France, 2003.
[ .pdf ]
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[11]
|
F. Theis, D. Hartl, S. Krauss-Etschmann and
E. Lang.
Neural Network Signal Analysis in Immunology.
In Proc. ISSPA 2003, volume 2, pages 235-238. Paris,
France, 2003.
[ .pdf ]
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[12]
|
K. Stadlthanner, A. Tomé, F. Theis,
W. Gronwald, H.-R. Kalbitzer and E. Lang.
Removing Water Artefacts from 2D Protein NMR Spectra using GEVD
with Congruent Matrix Pencils.
In Proc. ISSPA 2003, volume 2, pages 85-88. Paris, France,
2003.
[ .pdf ]
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[13]
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F. Theis, D. Hartl, S. Krauss-Etschmann and
E. Lang.
Adaptive Signal Analysis of Immunological Data.
In Proc. Fusion 2003, pages 1063-1069. Cairns, Australia,
2003.
[ .pdf ]
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[14]
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F. Theis, C. Puntonet and E. Lang.
SOMICA and Geometric ICA.
In Proc. Fusion 2003, pages 1457-1464. Cairns, Australia,
2003.
[ .pdf ]
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|
[15]
|
M. Rodriguez-Alvarez, F. Rojas, C. Puntonet,
F. Theis and E. Lang.
A new ICA method based on a lattice of the observation space.
In Proc. Fusion 2003, pages 1416-1421. Cairns, Australia,
2003.
[ .pdf ]
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[16]
|
M. Rodriguez-Alvarez, F. Rojas, C. Puntonet,
F. Theis, E. Lang and R. Clemente.
New Geometric ICA Approach for Blind Source Separation.
In Intelligent Systems Design and Applications, ISDA 2003,
pages 293-302. Tulsa, Oklahoma, USA, 2003.
[ .pdf ]
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[17]
|
C. Bauer, F. Theis, W. Baeumler and
E. Lang.
Local Features in Biomedical Image Clusters extracted with
Independent Component Analysis.
In Proc. IJCNN 2003, pages 81-84. Portland, USA, 2003.
[ .pdf ]
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[18]
|
F. Theis, C. Puntonet and E. Lang.
SOMICA - An Application of Self-Organizing Maps to Geometric
Independent Component Analysis.
In Proc. IJCNN 2003, pages 1318-1323. Portland, USA,
2003.
[ .pdf ]
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[19]
|
A. Krause, A. Mehlhorn, D. Hartl, F. Theis,
V. Riedl, S. Preis, K. Feike, L. Greiner,
K. Heiss, K. Gerauer and M. Stangl.
PDA-based decision support and documentation for transplantation
surgery data.
In Proc. MoCoMed 2003, volume 24 of LNI, pages
47-51. GI-Edition, 2003.
[ http ]
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[20]
|
K. Stadlthanner, A. Tomé, F. Theis,
W. Gronwald, H.-R. Kalbitzer and E. Lang.
On the use of independent component analysis to remove water
artefacts of 2D NMR protein spectra.
In Proc. BIOENG 2003. 2003.
|
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[21]
|
K. Stadlthanner, F. Theis, E. Lang,
A. Tomé, W. Gronwald and H.-R. Kalbitzer.
A matrix pencil approach to the blind source separation of artifacts
in 2D NMR spectra.
Neural Information Processing LR, 1(3):103-110, 2003.
[ .pdf ]
|
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[22]
|
F. Theis.
Geometric source separation: algorithms and applications.
Berichte aus der Medizinischen Informatik und Bioinformatik. Shaker
Verlag, Aachen, Germany, 2003.
[ .pdf ]
|
|
[23]
|
F. Theis.
BEA e-World in Orlando.
Java Magazin, 5:16-17, 2003.
|
|
[24]
|
F. Theis.
Enterprise Computing fuer nicht OO-Programmierer.
Java Magazin, 5:18-20, 2003.
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|
[25]
|
F. T. (Hrsg.), S. Kuhn, M. Langham,
J. Mueller, D. Wang and C. Ziegeler.
Portale und Webapplikationen mit Apache Frameworks.
Software & Support Verlag, 2003.
[ .html ]
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[1]
|
F. Theis and E. Lang.
Geometric Overcomplete ICA.
In Proc. ESANN 2002, pages 217-223. Bruges, Belgium, 2002.
[ .pdf ]
|
|
[2]
|
F. Theis and E. Lang.
How to generalize Geometric ICA to higher dimensions.
In Proc. ESANN 2002, pages 205-211. Bruges, Belgium, 2002.
[ .pdf ]
|
|
[3]
|
F. Theis.
Geometric ICA in overcomplete and high-dimensional settings.
In B. Stojetz, M. Pletyukhov,
T. Westenhuber, J. Keller and K. Renk, editors,
Workshop Report II of the Graduiertenkolleg, pages 1-13. Windberg,
Germany, 2002.
|
|
[4]
|
F. Theis, E. Lang, M. Lautenschlager and
C. Puntonet.
A Theoretical Framework for Overcomplete Geometric BMMR.
In Proc. SIP 2002, pages 201-206. Kauai, Hawaii, USA, 2002.
[ .pdf ]
|
|
[5]
|
F. Theis and E. Lang.
Formalization of the Two-Step Approach to Overcomplete BSS.
In Proc. SIP 2002, pages 207-212. Kauai, Hawaii, USA, 2002.
[ .pdf ]
|
|
[6]
|
F. Theis, C. Bauer and E. Lang.
Comparison of maximum entropy and minimal mutual information in a
nonlinear setting.
Signal Processing, 82:971-980, 2002.
10.1016/S0165-1684(02)00200-1.
[ DOI |
.pdf ]
|
|
[7]
|
F. Theis, E. Lang, F. Rojas and
C. Puntonet.
Extending Geometric ICA to Overcomplete and High-Dimensional
BSS-Problems.
In M. Hamza, editor, Signal Processing, Pattern
Recognition & Applications (Proc. SPPRA 2002), pages 309-314. Crete,
Greece, 2002.
|
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[8]
|
F. Theis, E. Lang, T. Westenhuber and
C. Puntonet.
Overcomplete ICA with a Geometric Algorithm.
In Proc. ICANN 2002, volume 2415 of LNCS, pages
1049-1054. Springer, 2002.
|
|
[9]
|
F. Theis.
Mathematics in Independent Component Analysis.
Logos Verlag Berlin, 2002.
[ .pdf ]
|
|
[10]
|
A. Krause, A. Mehlhorn, D. Hartl, F. Theis,
V. Riedl, S. Preis, K. Feike, L. Greiner,
K. Heiss, K. Gerauer and M. Stangl.
Mobile application for transplantation surgery data.
In Medica 2002, Bayern Innovativ - Poster Session. 2002.
[ http ]
|
|
[11]
|
F. Theis.
Topological Constructions in the o-Graph Calculus.
Mathematische Nachrichten, 241:170-186, 2002.
10.1002/1522-2616(200207)241:1<170::AID-MANA170>3.0.CO;2-3.
[ DOI |
.pdf ]
|
|
[12]
|
F. Theis.
Turbine, Teil 2: Entwicklung einer Shop-Anwendung.
Java Magazin, 7:66-71, 2002.
|
|
[13]
|
F. Theis.
Turbine - das Apache Web Application Framework, Teil 1.
Java Magazin, 6:73-77, 2002.
[ http ]
|
|
[14]
|
F. Theis.
Die Town-Datenbank-API.
Java Spektrum, 4:53-59, 2002.
|
|
[15]
|
F. Theis and S. Kuhn.
Jetspeed-Praxisprojekt: Auctioner = eBay + MyNetscape.
Java Magazin, 12:48-55, 2002.
[ .html ]
|
|
[16]
|
F. Theis.
Professionelles Reporting, XML2XL: Transformation von
XML-Dokumenten in Excel mit POI und dom4j.
Java Magazin, 12:85-91, 2002.
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