Funder
National Natural Science Foundation of China
Postdoctoral Research Fund of Zhejiang Province of China
Discovery Grant Program of National Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference52 articles.
1. Akbik, A., Blythe, D., & Vollgraf, R. (2018). Contextual string embeddings for sequence labeling. In Proceedings of the 27th international conference on computational linguistics (pp. 1638–1649).
2. Asiltürk, I., & Çunkaş, M. (2011). Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method. Expert Systems with Applications,38(5), 5826–5832. https://doi.org/10.1016/j.eswa.2010.11.041.
3. Charte, F., Rivera, A. J., del Jesus, M. J., & Herrera, F. (2015). Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing,163, 3–16. https://doi.org/10.1016/j.neucom.2014.08.091.
4. Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R., et al. (2014). Design and management of manufacturing systems for production quality. CIRP Annals,63(2), 773–796. https://doi.org/10.1016/j.cirp.2014.05.002.
5. D’Agostino, R. B. (1971). An omnibus test of normality for moderate and large size samples. Biometrika,58(2), 341–348. https://doi.org/10.1093/biomet/58.2.341.
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