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Ergebnis der Suche nach: tit all "Adversarial Autoencoders"
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Artikel 11 Correction to: CH-Net: Deep adversarial autoencoders for semantic segmentation in X-ray images of cabin baggage screening at airports
Enthalten in Journal of transportation security Bd. 13, 15.8.2020, Nr. 1-2, date:6.2020: 91
Online Ressource
Artikel 12 Designing the Forest of Tomorrow: Generating Virtual Trees with Adversarial Autoencoders
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-G-2025, 2025: 619-624. 6 S.
Online Ressource
Artikel 13 GAD-VAE: generative adversarial disentanglement with variational autoencoders for hair removal in dermoscopy images
Enthalten in Network modeling analysis in health informatics and bioinformatics Bd. 13, 5.6.2024, Nr. 1, date:12.2024: 1-18
Online Ressource
Artikel 14 Information preservation with wasserstein autoencoders: generation consistency and adversarial robustness
Enthalten in Statistics and computing Bd. 35, 6.6.2025, Nr. 5, date:10.2025: 1-27
Online Ressource
Artikel 15 Intelligent Fault Detection Scheme for Rolling Bearing Based on Generative Adversarial Network and AutoEncoders Using Convolutional Neural Network
Enthalten in Journal of vibration engineering & technologies Bd. 12, 4.12.2024, Nr. 8, date:12.2024: 8979-8991
Online Ressource
Artikel 16 Leveraging AutoEncoders and chaos theory to improve adversarial example detection
Enthalten in Neural computing & applications Bd. 36, 24.7.2024, Nr. 29, date:10.2024: 18265-18275
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Artikel 17 MACPGANA: design of a highly efficient multimodal agriculture commodity price prediction model via generative adversarial networks & autoencoders
Enthalten in International journal of information technology Bd. 17, 25.2.2025, Nr. 4, date:5.2025: 2355-2368
Online Ressource
Artikel 18 On the adversarial robustness of generative autoencoders in the latent space
Enthalten in Neural computing & applications Bd. 36, 2.3.2024, Nr. 14, date:5.2024: 8109-8123
Online Ressource
Artikel 19 Understanding and mitigating the impact of race with adversarial autoencoders
Enthalten in Communications medicine Bd. 4, 23.10.2024, Nr. 1, date:12.2024: 1-8
Online Ressource
Artikel 20 VAEWGAN-NCO in image deblurring framework using variational autoencoders and Wasserstein generative adversarial network
Enthalten in Signal, image and video processing Bd. 18, 25.3.2024, Nr. 5, date:7.2024: 4447-4456
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