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2020 – today
- 2024
[j1]Kaan Pekel, Yilmazcan Özyurt, Baris Yildiz
, Ali K. Dogru:
A branch-and-cut approach to solve the Fault Diagnosis Problem with Lazy Spread and imperfect system information. Comput. Oper. Res. 166: 106598 (2024)- [i6]Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR abs/2410.01727 (2024) - 2023
- [c4]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR 2023 - [i5]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. CoRR abs/2310.11085 (2023) - 2022
- [c3]Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Özyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan:
Behavioral graph fraud detection in E-commerce. ICDM (Workshops) 2022: 1-8 - [c2]Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel:
A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW 2022: 3071-3081 - [i4]Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang:
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. CoRR abs/2206.06243 (2022) - [i3]Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Özyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan:
Behavioral graph fraud detection in E-commerce. CoRR abs/2210.06968 (2022) - 2021
- [c1]Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. KDD 2021: 3452-3462 - [i2]Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel:
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units. CoRR abs/2102.04702 (2021) - [i1]Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Lena A. Jäger, Nicolas Langer:
Reading Task Classification Using EEG and Eye-Tracking Data. CoRR abs/2112.06310 (2021)
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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