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VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection.
Tian W, Shen Y, Guo N, Yuan J, Yang Y. Tian W, et al. Sensors (Basel). 2024 Sep 18;24(18):6035. doi: 10.3390/s24186035. Sensors (Basel). 2024. PMID: 39338780 Free PMC article.
This model extends the Variational Autoencoder Generative Adversarial Network (VAEGAN) by integrating key features from the Auxiliary Classifier Generative Adversarial Network (ACGAN) and the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP). ...
This model extends the Variational Autoencoder Generative Adversarial Network (VAEGAN) by integrating key features from the Auxiliary …
A topical VAEGAN-IHMM approach for automatic story segmentation.
Yu J, Peng H, Wang G, Shi N. Yu J, et al. Math Biosci Eng. 2024 Jul 16;21(7):6608-6630. doi: 10.3934/mbe.2024289. Math Biosci Eng. 2024. PMID: 39176411 Free article.
To better learn topical domain representation, we used a topical classifier to supervise the training process of VAEGAN. Based on the learned feature, a segmentor splits the document into shorter ones with different topics. ...Experimental results on the TDT2 corpus demons …
To better learn topical domain representation, we used a topical classifier to supervise the training process of VAEGAN. Based on the …
77 results