25 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 2 cited
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang
Document-level relation extraction aims at inferring structured human knowledge from textual documents. State-of-the-art methods for this task use pre-trained language models (LMs)…
cs.LG2022
Behavioral graph fraud detection in E-commerce
Hang Yin, Zitao Zhang, Zhurong Wang +5
In e-commerce industry, graph neural network methods are the new trends for transaction risk modeling.The power of graph algorithms lie in the capability to catch transaction linki…
cs.LG2022★ 25 cited
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang
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.…