AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. - Yilmazcan Özyurt; Mathias Kraus; Tobias Hatt; Stefan Feuerriegel (KDD, 2021)

Reading Task Classification Using EEG and Eye-Tracking Data. - Nora Hollenstein; Marius Tröndle; Martyna Plomecka; Samuel Kiegeland; Yilmazcan Özyurt; Lena A. Jäger; Nicolas Langer (CoRR, 2021)

Behavioral graph fraud detection in E-commerce. - Hang Yin; Zitao Zhang; Zhurong Wang; Yilmazcan Özyurt; Weiming Liang; Wenyu Dong; Yang Zhao; Yinan Shan (ICDM (Workshops), 2022)

A Deep Markov Model for Clickstream Analytics in Online Shopping. - Yilmazcan Özyurt; Tobias Hatt; Ce Zhang 001; Stefan Feuerriegel (WWW, 2022)

Contrastive Learning for Unsupervised Domain Adaptation of Time Series. - Yilmazcan Özyurt; Stefan Feuerriegel; Ce Zhang 001 (ICLR, 2023)

In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. - Yilmazcan Özyurt; Stefan Feuerriegel; Ce Zhang 001 (CoRR, 2023)

A branch-and-cut approach to solve the Fault Diagnosis Problem with Lazy Spread and imperfect system information. - Kaan Pekel; Yilmazcan Özyurt; Baris Yildiz 001; Ali K. Dogru (Comput. Oper. Res., 2024)

Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. - Yilmazcan Özyurt; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2024)

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing. - Yilmazcan Özyurt; Tunaberk Almaci; Stefan Feuerriegel; Mrinmaya Sachan (CoRR, 2025)