Yilmazcan Ozyurt — accepted AI-conference papers

2025

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan

NeurIPS 2025poster

We introduce ExRec, a general framework for personalized exercise recommendation with semantically-grounded knowledge tracing. Our method builds on the observation that existing exercise recommendation approaches simulate student performance via knowledge tracing (KT) but they often overlook two key…

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2023

Contrastive Learning for Unsupervised Domain Adaptation of Time Series

Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang

ICLR 2023poster

Unsupervised domain adaptation (UDA) aims at learning a machine learning model using a labeled source domain that performs well on a similar yet different, unlabeled target domain. UDA is important in many applications such as medicine, where it is used to adapt risk scores across different patient…

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