# Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation

@article{Chung2020CostSensitiveDL, title={Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation}, author={Yu-An Chung and Hsuan-Tien Lin}, journal={2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)}, year={2020}, pages={108-113} }

While deep neural networks have succeeded in several applications, such as image classification, object detection, and speech recognition, by reaching very high classification accuracies, it is important to note that many real-world applications demand varying costs for different types of misclassification errors, thus requiring cost-sensitive classification algorithms. Current models of deep neural networks for cost-sensitive classification are restricted to some specific network structures… Expand

#### One Citation

Automated Detection of Sewer Pipe Defects Based on Cost-Sensitive Convolutional Neural Network

- Computer Science
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- 2019

The authors propose a new auxiliary loss function Cost-Mean Loss, which allows the model to obtain the original parameters of the network to maximize the accuracy and improve the performance of the model by minimizing total misclassification costs in the learning process. Expand

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