EDense: a convolutional neural network with ELM-based dense connections
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05181-2.pdf
Reference43 articles.
1. Baumgartner CF, Oktay O, Rueckert D (2017) Fully convolutional networks in medical imaging: applications to image enhancement and recognition, Springer, Cham pp 159–179
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3. Bi X, Zhang C, Zhao X, Li D, Sun Y, Ma Y (2020) CODES: efficient incremental semi-supervised classification over drifting and evolving social streams. IEEE Access 8:14024–14035
4. Bi X, Zhao X, Huang H, Chen D, Ma Y (2020) Functional brain network classification for alzheimer’s disease detection with deep features and extreme learning machine. Cogn Comput 12(3):513–527
5. Chang P, Zhang J, Hu J, Song Z (2018) A deep neural network based on ELM for semi-supervised learning of image classification. Neural Process Lett 48(1):375–388
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