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1 |
Model-based analysis of the image generation quality of adversarial latent autoencoders for industrial machine vision
Yermakov, Ruslan. - Aachen : Universitätsbibliothek der RWTH Aachen, 2023
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2 |
A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification
Amiriparian, Shahin. - Augsburg : Universität Augsburg, 2018
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3 |
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Miceli Barone, Antonio Valerio. - Aachen : Universitätsbibliothek der RWTH Aachen, 2016
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4 |
Adversarial and variational autoencoders improve metagenomic binning
Enthalten in Communications biology Bd. 6, 21.10.2023, Nr. 1, date:12.2023: 1-10
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5 |
Anomaly detection by using a combination of generative adversarial networks and convolutional autoencoders
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2022, 22.11.2022, Nr. 1, date:12.2022: 1-13
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6 |
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.
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7 |
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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8 |
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
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9 |
Variational Autoencoders and Generative Adversarial Networks for Multivariate Scenario Generation
Enthalten in Data science for transportation Bd. 6, 20.9.2024, Nr. 3, date:12.2024: 1-22
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