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AIM@LMU Ringvorlesung
AIM@LMU Minor
Thesis Proposals	Conformal prediction for top-k-rankings (Ba/Ma) Probabilistic Circuits for Preferences Python Package for Statistical Rank Models (Ba/Ma) Forward Regression for Online Algorithm Selection (BA/MA) Randomized UCT (BA/MA) Shapley Bandits for Online Algorithm Selection (BA/MA) Can I trust my Explainable AI algorithm? Evaluating and Benchmarking xAI algorithms. (Ba/Ma) Efficient Optimization of Hierarchical Multi-Label Classifier Ensembles (Ba/Ma) Fuzzy Pattern Trees as Deep Fuzzy Systems (Ba/Ma) Learning from Imprecise Data with an Adjusted Infimum Loss (Ba/Ma) Deep Aggregation Autoencoders (Ma) A systematic review of listwise learning to rank (Ba) Mixed Dyad Ranking (Ba/Ma) Calibration of scoring classifiers: Survey and empirical comparison (Ba/Ma) Rank Aggregation for Incomplete Rankings (Ba/Ma) Solving label ranking problems via error-correcting output codes (Ba/Ma) Data-driven adaptation of weighted rank correlation measures (Ba/Ma)

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