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  • 2023

    B-Cos Aligned Transformers Learn Human-Interpretable Features

    Tran, M., Lahiani, A., Dicente Cid, Y., Boxberg, M., Lienemann, P., Matek, C., Wagner, S. J., Theis, F. J., Klaiman, E. & Peng, T., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 514-524 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2022

    Image-based profiling: a powerful and challenging new data type

    Way, G. P., Spitzer, H., Burnham, P., Raj, A., Theis, F., Singh, S. & Carpenter, A. E., 2022, Pacific Symposium on Biocomputing 2022, PSB 2022. Altman, R. B., Dunker, A. K., Hunter, L., Ritchie, M. D. & Klein, T. E. (eds.). World Scientific, p. 407-411 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT Images

    Koch, V., Holmberg, O., Spitzer, H., Schiefelbein, J., Asani, B., Hafner, M. & Theis, F. J., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 699-708 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13432 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

    Hetzel, L., Böhm, S., Kilbertus, N., Günnemann, S., Lotfollahi, M. & Theis, F., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • Sparsity in Continuous-Depth Neural Networks

    Aliee, H., Richter, T., Solonin, M., Ibarra, I., Theis, F. & Kilbertus, N., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • 2020

    Learning Tn5 Sequence Bias from ATAC-seq on Naked Chromatin

    Ansari, M., Fischer, D. S. & Theis, F. J., 2020, Artificial Neural Networks and Machine Learning – ICANN 2020 - 29th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P. & Wermter, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 105-114 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12396 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2018

    LNA++: Linear Noise Approximation with First and Second Order Sensitivities

    Feigelman, J., Weindl, D., Theis, F. J., Marr, C. & Hasenauer, J., 2018, Computational Methods in Systems Biology - 16th International Conference, CMSB 2018, Proceedings. Safranek, D. & Ceska, M. (eds.). Springer Verlag, p. 300-306 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11095 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2016

    Mitosis detection in intestinal crypt images with Hough forest and Conditional Random Fields

    Bortsova, G., Sterr, M., Wang, L., Milletari, F., Navab, N., Böttcher, A., Lickert, H., Theis, F. & Peng, T., 2016, Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Wang, L., Suk, H.-I., Shi, Y., Adeli, E. & Wang, Q. (eds.). Springer Verlag, p. 287-295 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10019 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2015

    An affine equivariant robust second-order BSS method

    Ilmonen, P., Nordhausen, K., Oja, H. & Theis, F., 2015, Latent Variable Analysis and Signal Separation - 12th International Conference, LVA/ICA 2015, Proceedings. Koldovský, Z., Vincent, E., Yeredor, A. & Tichavský, P. (eds.). Springer Verlag, p. 328-335 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9237).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • Anatomic-landmark detection using graphical context modelling

    Wang, L., Belagiannis, V., Marr, C., Theis, F., Yang, G. Z. & Navab, N., 21 Jul 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 1304-1307 4 p. 7164114. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Approximate bayesian computation for stochastic single-cell time-lapse data using multivariate test statistics

    Loos, C., Marr, C., Theis, F. J. & Hasenauer, J., 2015, Computational Methods in Systems Biology - 13th International Conference, CMSB 2015, Proceedings. Roux, O. & Bourdon, J. (eds.). Springer Verlag, p. 52-63 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9308).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • Uniqueness of real and complex linear independent component analysis revisited

    Theis, F. J., 3 Apr 2015, 2004 12th European Signal Processing Conference, EUSIPCO 2004. European Signal Processing Conference, EUSIPCO, p. 1705-1708 4 p. 7080121. (European Signal Processing Conference; vol. 06-10-September-2004).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2014

    Bayesian blind source separation applied to the lymphocyte pathway

    Illner, K., Fuchs, C. & Theis, F. J., 2014, Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics. Gilli, M., Gonzalez-Rodriguez, G. & Nieto-Reyes, A. (eds.). The International Statistical Institute/International Association for Statistical Computing, p. 625-632 8 p. (Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Centroid clustering of cellular lineage trees

    Khakhutskyy, V., Schwarzfischer, M., Hubig, N., Plant, C., Marr, C., Rieger, M. A., Schroeder, T. & Theis, F. J., 2014, Information Technology in Bio- and Medical Informatics - 5th International Conference, ITBAM 2014, Proceedings. Springer Verlag, p. 15-29 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8649 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Modeling of stochastic biological processes with non-polynomial propensities using non-central conditional moment equation

    Kazeroonian, A., Theis, F. J. & Hasenauer, J., 2014, 19th IFAC World Congress IFAC 2014, Proceedings. Boje, E. & Xia, X. (eds.). IFAC Secretariat, p. 1729-1735 7 p. (IFAC Proceedings Volumes (IFAC-PapersOnline); vol. 19).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    10 Scopus citations
  • Radial basis function approximations of bayesian parameter posterior densities for uncertainty analysis

    Fröhlich, F., Hross, S., Theis, F. J. & Hasenauer, J., 2014, Computational Methods in Systems Biology - 12th International Conference, CMSB 2014, Proceedings. Mendes, P., Dada, J. O., Smallbone, K. & Mendes, P. (eds.). Springer Verlag, p. 73-85 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8859).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Uncertainty analysis for non-identifiable dynamical systems: Profile likelihoods, bootstrapping and more

    Fröhlich, F., Theis, F. J. & Hasenauer, J., 2014, Computational Methods in Systems Biology - 12th International Conference, CMSB 2014, Proceedings. Mendes, P., Dada, J. O., Smallbone, K. & Mendes, P. (eds.). Springer Verlag, p. 61-72 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8859).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    41 Scopus citations
  • 2013

    Identifying latent dynamic components in biological systems

    Kondofersky, I., Fuchs, C. & Theis, F. J., 2013, Computational Methods in Systems Biology - 11th International Conference, CMSB 2013, Proceedings. p. 259-260 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8130 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Visualizing edge-edge relations in graphs

    Vehlow, C., Hasenauer, J., Theis, F. J. & Weiskopf, D., 2013, IEEE Symposium on Pacific Visualization 2013, PacificVis 2013 - Proceedings. p. 201-208 8 p. 6596146. (IEEE Pacific Visualization Symposium).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • 2012

    Bayesian fuzzy clustering of colored graphs

    Theis, F. J., 2012, Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Proceedings. p. 528-535 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7191 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Bayesian inference of latent causes in gene regulatory dynamics

    Hug, S. & Theis, F. J., 2012, Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Proceedings. p. 520-527 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7191 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Joint diagonalization of several scatter matrices for ICA

    Nordhausen, K., Gutch, H. W., Oja, H. & Theis, F. J., 2012, Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Proceedings. p. 172-179 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7191 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • To infinity and beyond: On ICA over Hilbert spaces

    Gutch, H. W. & Theis, F. J., 2012, Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Proceedings. p. 180-187 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7191 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2011

    Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells

    Mueller, N. S., Krumsiek, J., Theis, F. J., Böhm, C. & Meyer-Bäse, A., 2011, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX. 805819. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 8058).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • 2010

    ICA over finite fields

    Gutch, H. W., Gruber, P. & Theis, F. J., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 645-652 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Information-theoretic model selection for independent components

    Plant, C., Theis, F. J., Meyer-Baese, A. & Böhm, C., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 254-262 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • Robust second-order source separation identifies experimental responses in biomedical imaging

    Theis, F. J., Müller, N. S., Plant, C. & Böhm, C., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 466-473 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations
  • Robust stability analysis and design under consideration of multiple feedback loops of the tryptophan regulatory network of escherichia coli

    Meyer-Baese, A., Theis, F. & Emmett, M. R., 2010, Advances in Computational Biology. Arabnia, H. (ed.). p. 189-197 9 p. (Advances in Experimental Medicine and Biology; vol. 680).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Second-order source separation based on prior knowledge realized in a graph model

    Blöchl, F., Kowarsch, A. & Theis, F. J., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 434-441 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Second order subspace analysis and simple decompositions

    Gutch, H. W., Maehara, T. & Theis, F. J., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 370-377 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio source separation

    Araki, S., Ozerov, A., Gowreesunker, V., Sawada, H., Theis, F., Nolte, G., Lutter, D. & Duong, N. Q. K., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 114-122 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    32 Scopus citations
  • The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical source separation

    Araki, S., Theis, F., Nolte, G., Lutter, D., Ozerov, A., Gowreesunker, V., Sawada, H. & Duong, N. Q. K., 2010, Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, Proceedings. p. 123-130 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6365 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    4 Scopus citations
  • Uncovering the structure of heterogeneus biological data: Fuzzy graph partitioning in the k-partite setting

    Blöchl, F., Hartsperger, M. L., Stümpflen, V. & Theis, F. J., 2010, GCB 2010 - German Conference on Bioinformatics 2010. p. 31-40 10 p. (GCB 2010 - German Conference on Bioinformatics 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • 2008

    Effective emission tomography image reconstruction algorithms for SPECT data

    Ramírez, J., Górriz, J. M., Gómez-Río, M., Romero, A., Chaves, R., Lassl, A., Rodríguez, A., Puntonet, C. G., Theis, F. & Lang, E., 2008, Computational Science - ICCS 2008 - 8th International Conference, Proceedings. PART 1 ed. p. 741-748 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5101 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    41 Scopus citations
  • Gene regulatory networks simplified by nonlinear balanced truncation

    Meyer-Bäse, A. & Theis, F., 2008, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks VI. 69790C. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 6979).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • Stochastic stability analysis of the heat shock response in E. Coli

    Meyer-Baese, A. & Theis, F., 2008, Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. p. 39-42 4 p. (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2007

    A toolbox for model-free analysis of fMRI data

    Gruber, P., Kohler, C. & Theis, F. J., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 209-217 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Blind matrix decomposition techniques to identify marker genes from microarrays

    Schachtner, R., Lutter, D., Theis, F. J., Lang, E. W., Tomé, A. M., Gorriz Saez, J. M. & Puntonet, C. G., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 649-656 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Blind matrix decomposition via genetic optimization of sparseness and nonnegativity constraints

    Stadlthanner, K., Theis, F. J., Lang, E. W., Tomé, A. M. & Puntonet, C. G., 2007, Artificial Neural Networks - ICANN 2007 - 17th International Conference, Proceedings. PART 1 ed. Springer Verlag, p. 799-808 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4668 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Colored subspace analysis

    Theis, F. J. & Kawanabe, M., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 121-128 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Exploiting blind matrix decomposition techniques to identify diagnostic marker genes

    Schachtner, R., Lutter, D., Theis, F. J., Lang, E. W., Tomé, A. M. & Schmitz, G., 2007, Artificial Neural Networks - ICANN 2007 - 17th International Conference, Proceedings. PART 2 ed. Springer Verlag, p. 80-89 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4669 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • How to extract marker genes from microarray data sets

    Schachtner, R., Lutter, D., Theis, F. J., Lang, E. W., Schmitz, G., Tomé, A. M. & Vilda, P. G., 2007, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. p. 4215-4218 4 p. 4353266. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations
  • Identifiability conditions and subspace clustering in sparse BSS

    Georgiev, P., Theis, F. & Ralescu, A., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 357-364 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations
  • Independent subspace analysis is unique, given irreducibility

    Gutch, H. W. & Theis, F. J., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 49-56 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    12 Scopus citations
  • Pivot selection strategies in Jacobi joint block-diagonalization

    Févotte, C. & Theis, F. J., 2007, Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, p. 177-184 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4666 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Scopus citations
  • Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis

    Stadlthanner, K., Lutter, D., Theis, F. J., Lang, E. W., Tomé, A. M., Georgieva, P. & Puntonet, C. G., 2007, The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. p. 294-299 6 p. 4370971. (IEEE International Conference on Neural Networks - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations
  • Statistical analysis of sample-size effects in ICA

    Herrmann, J. M. & Theis, F. J., 2007, Intelligent Data Engineering and Automated Learning - IDEAL 2007 - 8th International Conference, Proceedings. Springer Verlag, p. 416-425 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4881 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations
  • Towards a general independent subspace analysis

    Theis, F. J., 2007, Advances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference. p. 1361-1368 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    59 Scopus citations
  • 2006

    A fast predictive lossless coder for fMRI data sets

    Tanaka, T., Murakami, Y. & Theis, F. J., 2006, 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings. p. 2529-2532 4 p. 4107083. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations
  • Analyzing gene expression profiles with ICA

    Lutter, D., Stadlthanner, K., Theis, F., Lang, E. W., Tomé, A. M., Becker, B. & Vogt, T., 2006, Proceedings of the Fourth IASTED International Conference on Biomedical Engineering. p. 25-30 6 p. (Proceedings of the Fourth IASTED International Conference on Biomedical Engineering; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations