English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This paper proposes an interpretable two-stream transformer CORAL networks(TransCORALNet) for supply chain credit assessment under the segment industryand cold start problem. The model aims to provide accurate credit assessmentprediction for new supply chain borrowers with limited historical data. Here,the two-stream domain adaptation architecture with correlation alignment(CORAL) loss is used as a core model and is equipped with transformer, whichprovides insights about the learned features and allow efficientparallelization during training. Thanks to the domain adaptation capability ofthe proposed model, the domain shift between the source and target domain isminimized. Therefore, the model exhibits good generalization where the sourceand target do not follow the same distribution, and a limited amount of targetlabeled instances exist. Furthermore, we employ Local InterpretableModel-agnostic Explanations (LIME) to provide more insight into the modelprediction and identify the key features contributing to supply chain creditassessment decisions. The proposed model addresses four significant supplychain credit assessment challenges: domain shift, cold start, imbalanced-classand interpretability. Experimental results on a real-world data set demonstratethe superiority of TransCORALNet over a number of state-of-the-art baselines interms of accuracy. The code is available on GitHubhttps://github.com/JieJieNiu/TransCORALN .

TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start