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Thesis/Theses examined by Seidl, Thomas

Number of items: 6.

Fromm, Michael (2022): Machine learning driven argument mining. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kazempour, Daniyal (2022): Advances in correlation clustering. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Beer, Anna (2021): On the edges of clustering: creating synergies with related problems. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Busch, Julian (2021): Representation learning on complex data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Richter, Florian (2021): Exploring anomalies in time: about temporal deviations in processes. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Lu, Yifeng (2021): Pattern mining under different conditions. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

This list was generated on Wed Sep 27 21:53:04 2023 CEST.