Výsledky vyhledávání - adversarial variational autoencoder

Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder

Autoři: Daqi Zhu Tianhong Zeng

Zdroj: IEEE Transactions on Industrial Electronics. :1-9

Deceptive reviewer group detection using self-adversarial variational autoencoder: a heterogeneous graph-based approach

Autoři: Sushil Kumar Maurya Dinesh Singh

Zdroj: Knowledge and Information Systems.

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

Autoři: Xinshu Li Lina Yao

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 38:13664-13672

CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation

Autoři: Qiyuan Xi Fei Wang Liangze Tao a další

Zdroj: IEEE Robotics and Automation Letters. 9:5214-5221

Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation

Autoři: Muhammad Usman Azka Rehman Abdullah Shahid a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. :1-9

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40030298

C-Gan-Vae: Causal Generative Adversarial Variational Autoencoder for Few Shot Fine Grained Cross Domain Fault Diagnosis for Planetary Gearbox

Autoři: Lixiao Cao Aoren Liu Zheng Qian a další

Interpretable data-augmented adversarial variational autoencoder with sequential attention for imbalanced fault diagnosis

Autoři: Yunpeng Liu Hongkai Jiang Renhe Yao a další

Zdroj: Journal of Manufacturing Systems. 71:342-359

Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering

Autoři: Hui Zhou Xin Liu Xiangju Li a další

Zdroj: Applied Intelligence. 53:26750-26762

Speech Emotion Recognition based on Semi-Supervised Adversarial Variational Autoencoder

Autoři: Yufeng Xiao Yuqin Bo Zhiling Zheng

Zdroj: 2023 IEEE 10th International Conference on Cyber Security and Cloud Computing (CSCloud)/2023 IEEE 9th International Conference on Edge Computing and Scalable Cloud (EdgeCom). :275-280

Semi-Supervised Adversarial Variational Autoencoder

Autoři: Zemouri, Ryad

Přispěvatelé: Zemouri, Ryad

Zdroj: Machine Learning and Knowledge Extraction, Vol 2, Iss 3, Pp 361-378 (2020)
Machine Learning and Knowledge Extraction
Volume 2
Issue 3
Pages 20-378

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], TK7885-7895, Computer engineering. Computer hardware, 0202 electrical engineering, electronic engineering, information engineering, artificial_intelligence_robotics, variational autoencoder, data generation, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, deep feature consistent, adversarial learning

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/2504-4990/2/3/20/pdf
https://doaj.org/article/ee9bbbc5397b46549c2cc2bdd8ddde75
https://www.preprints.org/manuscript/202008.0051/v1
https://www.preprints.org/manuscript/202008.0051/v1/download
https://www.mdpi.com/2504-4990/2/3/20
https://www.mdpi.com/2504-4990/2/3/20/pdf
https://dblp.uni-trier.de/db/journals/make/make2.html#Zemouri20
https://hal-cnam.archives-ouvertes.fr/hal-02931571/document
https://hal-cnam.archives-ouvertes.fr/hal-02931571
https://cnam.hal.science/hal-02931571v1
https://doi.org/10.3390/make2030020
https://cnam.hal.science/hal-02931571v1/document

Business systems KPI anomaly detection based on an adversarial variational autoencoder

Autoři: Dequan Gao Meng Yang Bao Feng a další

Zdroj: 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA). :1702-1706

Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization

Autoři: Salsabilian, Shiva Najafizadeh, Laleh

Zdroj: Frontiers in Signal Processing, Vol 2 (2022)

Témata: adversarial regularization, 03 medical and health sciences, mild TBI (mTBI), 0302 clinical medicine, cross-subject transfer learning, LSTM-long short-term memory, variational autoencoder (VAE), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Přístupová URL adresa: https://doaj.org/article/45e0f1e036c040afb1bf87294343f472

Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages

Autoři: Rehman, Abd Ur Rehman, Azka Usman, Muhammad a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2412.05632

Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation

Autoři: Wenbiao Liu Xianjin Rong Yingli Zhong a další

Zdroj: Lecture Notes in Computer Science ISBN: 9789819724208

Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging

Autoři: Usman, Muhammad Rehman, Azka Shahid, Abdullah a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2411.10100

Infer-AVAE: An attribute inference model based on adversarial variational autoencoder

Autoři: Zhou, Yadong Ding, Zhihao Liu, Xiaoming a další

Zdroj: Neurocomputing. 483:105-115

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/2012.15005
http://arxiv.org/abs/2012.15005

An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification

Autoři: Laleh Najafizadeh Shiva Salsabilian

Zdroj: 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). :408-411

Témata: 03 medical and health sciences, 0302 clinical medicine, 0206 medical engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/ner/ner2021.html#SalsabilianN21

Self-adversarial variational autoencoder with spectral residual for time series anomaly detection

Autoři: Ganghui Hu Youfang Lin Jing Wang a další

Zdroj: Neurocomputing. 458:349-363

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijon/ijon458.html#LiuLXHW21
https://doi.org/10.1016/j.neucom.2021.06.030
http://doi.org/10.1016/j.neucom.2021.06.030
https://www.sciencedirect.com/science/article/pii/S0925231221009346

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

Autoři: Eugene Lin Sudipto Mukherjee Sreeram Kannan

Zdroj: BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)

Témata: Adversarial autoencoder, Variational autoencoder, Dimensionality reduction, Generative adversarial networks, Single-cell RNA sequencing, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s12859-020-3401-5; https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/f4f043a09f744e1ba2e53ed9bdf1e813

Adversarial Variational Autoencoders to Extend and Improve Generative Model

Autoři: Nguyen, Loc Abdalla, Hassan I. Amer, Ali A.

Zdroj: All Works

Témata: Generative artificial intelligence, Variational autoencoder, Generative adversarial network, Deep generative model, Adversarial variational autoencoder, Computer Sciences

Popis souboru: application/pdf

Relation: https://zuscholars.zu.ac.ae/works/6860; https://zuscholars.zu.ac.ae/context/works/article/7897/viewcontent/375.pdf

Dostupnost: https://zuscholars.zu.ac.ae/works/6860
https://doi.org/10.5772/acrt.20240003
https://zuscholars.zu.ac.ae/context/works/article/7897/viewcontent/375.pdf