Various Data Science Topics

Projects

The projects offered here are aligned with the lecture "Data Analysis and Query Languages" offered in the summer semester, which covers several approaches.

If you are interested in any of the topics listed below, contact the corresponding supervisor.

T1: Leveraging Embeddings for Cross-Domain Recommendations (Arrascue)

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T2: Extending PRoST Features (Arrascue)

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T3: Error prediction in automotive industry (Alzogbi)

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T4: Trust and Distrust Assessment in Online User Activity (Taxidou)

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T5: News Bias Detection (Färber)

T6: How Fair are Researchers? Analyzing Biases of Paper Citations (Färber)

T7: A Platform for Meta-Learning of Entity Linking (Färber)

Get some details for the last three topics