Active learning inspired method in generative models-Reference-Cited by-同舟云学术

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Active learning inspired method in generative models

Published:2024-09 Issue: Volume:249 Page:123582
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lan Guipeng^ORCID,Xiao Shuai^ORCID,Yang Jiachen^ORCID,Wen Jiabao^ORCID,Lu Wen^ORCID,Gao Xinbo^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference71 articles.

1. Principal component analysis;Abdi;Wiley Interdisciplinary Reviews: Computational Statistics,2010

2. Data outlier detection using the Chebyshev theorem;Amidan,2005

3. Wasserstein generative adversarial networks;Arjovsky,2017

4. Discriminator rejection sampling;Azadi,2018

5. On the local convergence of GANs with differential privacy: Gradient clipping and noise perturbation;Azadmanesh;Expert Systems with Applications,2023

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1. Face swapping with adaptive exploration-fusion mechanism and dual en-decoding tactic;Expert Systems with Applications;2024-12

2. Curvature index of image samples used to evaluate the interpretability informativeness;Engineering Applications of Artificial Intelligence;2024-11

3. TMPSformer: An Efficient Hybrid Transformer-MLP Network for Polyp Segmentation;Mobile Networks and Applications;2024-09-10

4. Enhancing public safety: a hybrid Conv_Trans-OptBiSVM approach for real-time abnormal behavior detection in crowded environments;Signal, Image and Video Processing;2024-09-04

5. Integration of cognitive conflict in generative learning model to enhancing students’ creative thinking skills;Eurasia Journal of Mathematics, Science and Technology Education;2024-09-02

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