IEEE BigData 2021 Cup: Soft Sensing at Scale

Author:

Petrov Sergei,Zhang Chao,Yella Jaswanth,Huang Yu,Qian Xiaoye,Bom Sthitie

Publisher

IEEE

Reference13 articles.

1. Searching for activation functions;ramachandran,2017

2. Superloss: A generic loss for robust curriculum learning;castells;Advances in neural information processing systems,2020

3. GraSSNet: Graph Soft Sensing Neural Networks

4. Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned

5. Squeeze-and-excitation networks;hu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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