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Felix Bießmann

2 papers indexed

arxivcs.LG2026-07-22

CURED: Creating, Understanding, and Repairing Errors Demonstrator

Nicholas Chandler, Sebastian Jäger, Philipp Jung, Felix Bießmann

Detecting and cleaning errors in tabular data is a prerequisite for data intense software applications. Recent research at the intersection of Machine Learning (ML) and Database Management Systems (DBMS) highlights the potential of statistical learning algorithms for error detect…

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crossrefMachine Learning and Knowledge Extraction2024-05-27Cited by 24

Uncertainty in XAI: Human Perception and Modeling Approaches

Teodor Chiaburu, Frank Haußer, Felix Bießmann

Artificial Intelligence (AI) plays an increasingly integral role in decision-making processes. In order to foster trust in AI predictions, many approaches towards explainable AI (XAI) have been developed and evaluated. Surprisingly, one factor that is essential for trust has been…

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