Christoph Mühlmann
Publikationen
- | Local Difference Matrices for Spatial Blind Source Separation at reposiTUm , opens an external URL in a new windowMuehlmann, C., Filzmoser, P., & Nordhausen, K. (2024). Local Difference Matrices for Spatial Blind Source Separation. In S. Khomsi, M. Bezzeghoud, S. Banerjee, M. Eshagh, A. C. Benim, B. Merkel, A. Kallel, S. Panda, H. Chenchouni, S. Grab, & M. Barbieri (Eds.), Selected Studies in Geophysics, Tectonics and Petroleum Geosciences (pp. 63–65). https://doi.org/10.1007/978-3-031-43807-3_12
- | Spatial Blind Source Separation in the Presence of a Drift at reposiTUm , opens an external URL in a new windowMühlmann, C., Filzmoser, P., & Nordhausen, K. (2024). Spatial Blind Source Separation in the Presence of a Drift. Austrian Journal of Statistics, 53(2), 48–68. https://doi.org/10.17713/ajs.v53i2.1668
- | Visual Interactive Parameter Selection for Temporal Blind Source Separation at reposiTUm , opens an external URL in a new windowCappello, C., Piccolotto, N., Mühlmann, C., Bögl, M., Filzmoser, P., Miksch, S., & Nordhausen, K. (2024). Visual Interactive Parameter Selection for Temporal Blind Source Separation. Journal of Data Science, Statistics, and Visualisation, 4(3). https://doi.org/10.52933/jdssv.v4i3.82
- | Test of the Latent Dimension of a Spatial Blind Source Separation Model at reposiTUm , opens an external URL in a new windowMuehlmann, C., Bachoc, F., Nordhausen, K., & Yi, M. (2024). Test of the Latent Dimension of a Spatial Blind Source Separation Model. STATISTICA SINICA. https://doi.org/10.5705/ss.202021.0326
- | Data Type Agnostic Visual Sensitivity Analysis at reposiTUm , opens an external URL in a new windowPiccolotto, N., Bogl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023). Data Type Agnostic Visual Sensitivity Analysis. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3327203
- | Data Type Agnostic Visual Sensitivity Analysis at reposiTUm , opens an external URL in a new windowPiccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023, October 26). Data Type Agnostic Visual Sensitivity Analysis. IEEE VIS 2023, Melbourne, Australia.
- | X-ray fluorescence scanning of soft and wet-sediment cores in terrestrial environments; A robust blind source separation approach at reposiTUm , opens an external URL in a new windowBábek, O., Fačevicová, K., Žídek, M., Sedlacek, J., Muehlmann, C., Nordhausen, K., & Hron, K. (2022). X-ray fluorescence scanning of soft and wet-sediment cores in terrestrial environments; A robust blind source separation approach. Journal of Geochemical Exploration, 243, Article 107106. https://doi.org/10.1016/j.gexplo.2022.107106
- | Second Order Source Separation for Multivariate Space-Time Data at reposiTUm , opens an external URL in a new windowMühlmann, C., De Iaco, S., & Nordhausen, K. (2022, December). Second Order Source Separation for Multivariate Space-Time Data. CMStatistics 2022, United Kingdom of Great Britain and Northern Ireland (the).
- | TBSSvis: Visual analytics for temporal blind source separation at reposiTUm , opens an external URL in a new windowPiccolotto, N., Bögl, M., Gschwandtner, T., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). TBSSvis: Visual analytics for temporal blind source separation. Visual Informatics, 6(4), 51–66. https://doi.org/10.1016/j.visinf.2022.10.002
- | Second Order Source Separation for Multivariate Space-Time Data at reposiTUm , opens an external URL in a new windowMühlmann, C., De Iaco, S., & Nordhausen, K. (2022, August). Second Order Source Separation for Multivariate Space-Time Data. COMPSTAT 2022, Italy.
- | Visual Parameter Selection for Spatial Blind Source Separation at reposiTUm , opens an external URL in a new windowPiccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022, June 15). Visual Parameter Selection for Spatial Blind Source Separation. EuroVis 2022, Rome, Italy.
- | Blind source separation for non-stationary random fields at reposiTUm , opens an external URL in a new windowMuehlmann, C., Bachoc, F., & Nordhausen, K. (2022). Blind source separation for non-stationary random fields. Spatial Statistics, 47, Article 100574. https://doi.org/10.1016/j.spasta.2021.100574
- | Blind recovery of sources for multivariate space-time random fields at reposiTUm , opens an external URL in a new windowMühlmann, C., De Iaco, S., & Nordhausen, K. (2022). Blind recovery of sources for multivariate space-time random fields. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-022-02348-2
- | Visual Parameter Selection for Spatial Blind Source Separation at reposiTUm , opens an external URL in a new windowPiccolotto, N., Bögl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). Visual Parameter Selection for Spatial Blind Source Separation. Computer Graphics Forum, 41(3), 157–168. https://doi.org/10.1111/cgf.14530
- | Blind Source Separation for Non-stationary Random Fields at reposiTUm , opens an external URL in a new windowMühlmann, C., Bachoc, F., & Nordhausen, K. (2021). Blind Source Separation for Non-stationary Random Fields. Online Conference Data Science, Statistics & Visualization (DSSV) 2021, Rotterdam, online, Netherlands (the).
- | Blind Source Separation for Non-stationary Random Fields at reposiTUm , opens an external URL in a new windowMühlmann, C., Bachoc, F., & Nordhausen, K. (2021). Blind Source Separation for Non-stationary Random Fields. The 13th Workshop on Spatial Statistics and Image Analysis in Biology, Finland, Finland.
- | Spatial Supervised Dimension Reduction in a Blind Source Separation framework at reposiTUm , opens an external URL in a new windowMühlmann, C. (2020). Spatial Supervised Dimension Reduction in a Blind Source Separation framework. Machine Learning Seminar, University Paul Sabatier, Toulouse, France.
- | Local Difference Matrices for Spatial Blind Source Separation at reposiTUm , opens an external URL in a new windowMühlmann, C., Filzmoser, P., & Nordhausen, K. (2020). Local Difference Matrices for Spatial Blind Source Separation. 3rd Conference of the Arabian Journal of Geosciences (CAJG), Tunisia.
- | Supervised dimension reduction for spatial data at reposiTUm , opens an external URL in a new windowMühlmann, C., Oja, H., & Nordhausen, K. (2019). Supervised dimension reduction for spatial data. ÖSG Statistiktage, Wien, Austria.
- | Supervised dimension reduction for spatial data at reposiTUm , opens an external URL in a new windowMühlmann, C., Oja, H., & Nordhausen, K. (2019). Supervised dimension reduction for spatial data. “12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2019),” London, United Kingdom of Great Britain and Northern Ireland (the).