Predicting Classification Accuracy of Unlabeled Datasets Using Multiple Deep Neural Networks-Reference-Cited by-同舟云学术

Predicting Classification Accuracy of Unlabeled Datasets Using Multiple Deep Neural Networks

Author:

You Shingchern D.¹^ORCID,Liu Hsiao-Chung²,Liu Chien-Hung¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

2. Super Micro Computer Inc., Taoyuan, Bade, Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference33 articles.

2. Exploring data augmentation for improved singing voice detection with neural networks;schlüter;Proc 16th Int Soc Music Inf Retr Conf,2015

3. Accurate uncertainty estimation and decomposition in ensemble learning;liu;Proc Adv Neural Inf Process Syst,2019

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