Thesis/Theses examined by Kröger, Peer

Borutta, Felix (2020): Unsupervised learning on social data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Ringsquandl, Martin (2019): Semantic-guided predictive modeling and relational learning within industrial knowledge graphs. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Lohrer, Johannes-Y. (2018): An e-science infrastructure for collecting, sharing, retrieving, and analyzing heterogeneous scientific data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Kaltenthaler, Daniel (2018): Supporting the workflow of archaeo-related sciences by providing storage, sharing, analysis, and retrieval methods. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Mauder, Markus (2017): Analyzing complex data using domain constraints. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Niedermayer, Johannes (2015): Complex queries and complex data: challenges in similarity search. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics