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Artificial Intelligence and Machine Learning

Welcome to the Chair of Artificial Intelligence and Machine Learning (Lehr - und Forschungseinheit Künstliche Intelligenz und Maschinelles Lernen), headed by Prof. Dr. Eyke Hüllermeier.

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About Us

Our research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning. We are currently conducting research on supervised learning and extensions thereof, such as weakly supervised learning, ranking and preference learning, uncertainty in machine learning, Bandit algorithms, online learning, and learning on data streams, automated machine learning (AutoML), as well as applications, social and societal implications of artificial intelligence and machine learning.

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