| Contrastive Learning for Unsupervised Domain Adaptation of Time Series Y Ozyurt, S Feuerriegel, C Zhang (ICLR 2023) The Eleventh International Conference on Learning Representations, 2022 | 103 | 2022 |
| AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units Y Özyurt, M Kraus, T Hatt, S Feuerriegel (KDD '21) Proceedings of the 27th ACM SIGKDD International Conference on …, 2021 | 48 | 2021 |
| A Deep Markov Model for Clickstream Analytics in Online Shopping Y Ozyurt, T Hatt, C Zhang, S Feuerriegel (WWW '22) Proceedings of the ACM Web Conference 2022, 3071-3081, 2022 | 24 | 2022 |
| Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models Y Ozyurt, S Feuerriegel, C Zhang arXiv preprint arXiv:2310.11085, 2023 | 17 | 2023 |
| Reading Task Classification Using EEG and Eye-Tracking Data N Hollenstein, M Tröndle, M Plomecka, S Kiegeland, Y Özyurt, LA Jäger, ... arXiv preprint arXiv:2112.06310, 2021 | 17 | 2021 |
| The ZuCo benchmark on cross-subject reading task classification with EEG and eye-tracking data N Hollenstein, M Tröndle, M Plomecka, S Kiegeland, Y Özyurt, LA Jäger, ... Frontiers in Psychology 13, 1028824, 2023 | 16 | 2023 |
| Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing Y Ozyurt, S Feuerriegel, M Sachan arXiv preprint arXiv:2410.01727, 2024 | 11 | 2024 |
| Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing Y Ozyurt, T Almaci, S Feuerriegel, M Sachan (NeurIPS 2025) The Thirty-Ninth Annual Conference on Neural Information …, 2025 | | 2025 |
| A Branch-and-Cut Approach to Solve the Fault Diagnosis Problem with Lazy Spread and Imperfect System Information K Pekel, Y Ozyurt, B Yildiz Computers & Operations Research, 2024 | | 2024 |
Stefan FeuerriegelProfessor, LMU MunichVerified email at lmu.de
