An Ensemble Learning Approach of Multi-Model for Classifying House Damage-Reference-Cited by-同舟云学术

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An Ensemble Learning Approach of Multi-Model for Classifying House Damage

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
language:
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Author:

Fan Junqiao¹,Xu Chun²,Zhang Jiahe³

Affiliation:

1. The Hong Kong Polytechnic University,Department of Engineering,Hong Kong, China

2. Nanjing University of Science and Technology,School of Foreign Language,Nan Jing,China

3. Hubei University,School of Computer Science and Information Engineering,Wu Han,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9696011/9696012/09696124.pdf?arnumber=9696124

Reference15 articles.

1. On the performance of GoogLeNet and AlexNet applied to sketches;ballester;Proceedings of the AAAI Conference on Artificial Intelligence,2016

2. Disease classification in eggplant using pre-trained vgg16 and msvm;rangarajan;Scientific Reports,2020

3. A simple and effective method for image classification

4. ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems

5. Xception: Deep learning with depthwise separable convolutions;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

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