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Thesis/Theses examined by Seidl, Thomas

Number of items: 5.

Goschenhofer, Jann (2023): Reducing the effort for data annotation: contributions to weakly supervised deep learning. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Emrich, Tobias (2013): Coping with distance and location dependencies in spatial, temporal and uncertain data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Wackersreuther, Bianca (2011): Efficient Knowledge Extraction from Structured Data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Zimek, Arthur (2008): Correlation Clustering. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Renz, Matthias (2006): Enhanced Query Processing on Complex Spatial and Temporal Data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

This list was generated on Mon May 20 21:55:42 2024 CEST.