Výsledky vyhledávání - adversarial autoencoder*

A Probabilistic Adversarial Autoencoder for Novelty Detection: Leveraging Lightweight Design and Reconstruction Loss

Autoři: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez a další

Přispěvatelé: Muhammad Asad Ihsan Ullah Muhammad Adeel Hafeez a další

Zdroj: IEEE Access, Vol 13, Pp 98530-98541 (2025)

Témata: adversarial autoencoders, latent space, probability distribution, generative adversarial networks (GANs), Electrical engineering. Electronics. Nuclear engineering, Anomaly detection, reconstruction loss, TK1-9971

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/640fe831f6f5414da5d831a38bb6ccfb

Improving News Recommendation Accuracy Through Multimodal Variational Autoencoder and Adversarial Training

Autoři: Pei Tang Shuo Zhu Bilal Alatas

Zdroj: IEEE Access, Vol 13, Pp 85269-85278 (2025)

Témata: multi-head attention mechanismmeta-learning, convolutional neural networks, deep learning, Variational autoencoder, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, multimodal recommender systems, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f4499787f0d249e18df95bcecd7a8942

Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis

Autoři: Jaesung Shim Kyuri Jo

Zdroj: IEEE Access, Vol 13, Pp 86333-86343 (2025)

Témata: Adversarial examples, denoising autoencoder, deep learning, Siamese network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/d1728c8ede5b409d99fd3fd94f3d6b9b

Head-Related Transfer Function Upsampling Using an Autoencoder-Based Generative Adversarial Network With Evaluation Framework

Autoři: Hu, Xuyi Li, Jian Picinali, Lorenzo a další

Přispěvatelé: Hu, Xuyi Li, Jian Picinali, Lorenzo a další

Zdroj: Journal of the Audio Engineering Society. 73:533-547

Témata: 4006 Communications Engineering

Popis souboru: application/pdf

A Hybrid Approach for Fraud Detection in Digital Wallet Transactions Using Adversarial Autoencoders and Gated Recurrent Units

Autoři: Shaik Janbhasha C. H. N. Santhosh Kumar Vedula Sitharamulu a další

Zdroj: Engineering, Technology & Applied Science Research. 15:25532-25537

Advanced ECG signal denoising using deep learning architectures: convolutional neural networks, autoencoders, and generative adversarial networks

Autoři: Arjun Singh Vijoriya Yogesh Parmar Gaurav Varshney a další

Zdroj: IET Conference Proceedings. 2025:1760-1764

A Innovative Strategy for Identifying Subtypes Through the Analysis of Multi-Omics Data with Adversarial Autoencoders

Autoři: Xia Chen Hao Nie Quanwei Chen a další

Zdroj: Journal of Computational Biology. 32:879-895

Evolutionary Adversarial Autoencoder for Unsupervised Anomaly Detection of Industrial Internet of Things

Autoři: Guo-Qiang Zeng Yao-Wei Yang Kang-Di Lu a další

Zdroj: IEEE Transactions on Reliability. 74:3454-3468

Adversarial AutoEncoder-Based Large-Scale Dynamic Multiobjective Evolutionary Algorithm

Autoři: Chenyang Li Gary G. Yen Zhenan He

Zdroj: IEEE Transactions on Evolutionary Computation. 29:1112-1126

Covert Water-to-Air Optical Wireless Communication Based on an Adversarial Autoencoder

Autoři: Qingqing Hu Nuo Huang Yuwei Chen a další

Zdroj: IEEE Transactions on Cognitive Communications and Networking. 11:2700-2714

Adversarial Data Augmentation Enhanced LSTM Autoencoder for Anomaly Detection in Industrial Pipeline Networks

Autoři: Xi Chen Yu Fan Xin Lin a další

Zdroj: Journal of Signal Processing Systems. 97:197-207

Designing the Forest of Tomorrow: Generating Virtual Trees with Adversarial Autoencoders

Autoři: Hristina Hristova Clemens Blattert Stefano Puliti a další

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-G-2025, Pp 619-624 (2025)

Témata: Technology, Applied optics. Photonics, TA1-2040, Engineering (General). Civil engineering (General), TA1501-1820

Popis souboru: application/pdf

Přístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/619/2025/
https://doaj.org/article/21d1f67c0e2e4a3f88875d6a2284efbe

Hybrid Deterministic and Metaheuristic Optimization for Physical Adversarial Attack on End-to-End Autoencoder Wireless Communication Systems

Autoři: Ho Viet Duc Luong Trinh Van Chien Lang Hong Nguyet Anh a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :259-262

A Sensor Data Imputation Method Based on Variational Autoencoder Generative Adversarial Networks

Autoři: Guocan Zhao Nan Zhou Wenxiong Kang a další

Zdroj: 2025 IEEE 26th China Conference on System Simulation Technology and its Applications (CCSSTA). :486-490

OD-SHIELD: Convolutional Autoencoder-Based Defense Against Adversarial Patch Attacks in Object Detection

Autoři: Byeongchan Kim Heemin Kim Minjung Kang a další

Zdroj: IEEE Access, Vol 13, Pp 98242-98252 (2025)

Témata: adversarial patch defense, object detection, pre-processing defense, Electrical engineering. Electronics. Nuclear engineering, Adversarial patch attack, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a9bf8343286e4310a10e2a6d8e90f774

Pixel-Level and Global Similarity-Based Adversarial Autoencoder Network for Hyperspectral Unmixing

Autoři: Wei Tao Haiyang Zhang Shan Zeng a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 7064-7082 (2025)

Témata: Ocean engineering, Wasserstein generative adversarial network (WGAN), QC801-809, Hyperspectral image unmixing, Geophysics. Cosmic physics, u-shaped network, similarity, TC1501-1800, swin transformer

Přístupová URL adresa: https://doaj.org/article/14e629a71323448c97213b8e7d3d8c78

Adversarial Contrastive Autoencoder With Shared Attention for Audio-Visual Correlation Learning

Autoři: Jiwei Zhang Yi Yu Suhua Tang a další

Zdroj: IEEE Access, Vol 13, Pp 39753-39764 (2025)

Témata: inter-intra modal loss, Cross-modal retrieval, Electrical engineering. Electronics. Nuclear engineering, adversarial learning, shared attention, TK1-9971

Přístupová URL adresa: https://doaj.org/article/b98217b8e18e43f79e0dadf72f14ab07

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Autoři: Hasenstab, Kyle Hahn, Lewis Chao, Nick a další

Zdroj: Scientific Reports. 14(1)

Témata: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network

Autoři: Lin, Mansheng Chen, Gongfa Bassir, David

Zdroj: Smart Manufacturing, Structural Health Monitoring and Digital Twins. 80

Adversarial Attacks Against Double RIS-Assisted MIMO Systems-Based Autoencoder in Finite-Scattering Environments

Autoři: Bui Duc Son Ngo Nam Khanh Trinh Van Chien a další

Zdroj: IEEE Wireless Communications Letters. 14:1593-1597

Témata: FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

Přístupová URL adresa: http://arxiv.org/abs/2410.20103