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检索条件"主题词=variational autoencoder"
1534 条 记 录,以下是581-590 订阅
排序:
The Application of Lite-GRU Embedding and VAE-Augmented Heterogeneous Graph Attention Network in Friend Link Prediction for LBSNs
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APPLIED SCIENCES-BASEL 2025年 第8期15卷 4585-4585页
作者: Yang, Ziteng Li, Boyu Wang, Yong Liu, Aoxue China Univ Geosci Wuhan Sch Comp Sci Wuhan 430078 Peoples R China
Friend link prediction is an important issue in recommendation systems and social network analysis. In Location-Based Social Networks (LBSNs), predicting potential friend relationships faces significant challenges due... 详细信息
来源: 评论
A semi-supervised multiscale generalized-VAE framework for one-class classification
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NEUROCOMPUTING 2025年 620卷
作者: Sharma, Renuka Awate, Suyash P. Commonwealth Sci & Ind Res Org CSIRO Data61 Brisbane Australia Indian Inst Technol IIT Bombay Comp Sci & Engn CSE Dept Mumbai India IITB Monash Res Acad Mumbai India
Deep-learning based approaches for unsupervised anomaly detection typically learn either a generative model of the inlier class or a decision boundary to encapsulate the inlier class. In addition to the training data ... 详细信息
来源: 评论
Synthetic data for enhanced privacy: A VAE-GAN approach against membership inference attacks
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KNOWLEDGE-BASED SYSTEMS 2025年 309卷
作者: Yan, Jian'en Huang, Haihui Yang, Kairan Xu, Haiyan Li, Yanling Harbin Inst Technol Fac Comp Harbin 150001 Heilongjiang Peoples R China Inner Mongolia Normal Univ Coll Comp Sci & Technol Hohhot 010022 Peoples R China
The raw data utilized in training machine learning models faces a potential threat from membership inference attacks. To mitigate this risk, employing synthetic data instead of real data is proved effective in desensi... 详细信息
来源: 评论
Industrial multivariate time-series data anomaly detection incorporating attention mechanisms and adversarial training
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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2025年
作者: Yang, Wenjie Chu, Wenchao Wu, Xingfu Zhou, Lianlin Wang, Jiayi Yang, Hua Li, Zirui Hebei Univ Technol Sch Artificial Intelligence State Key Lab Reliabil & Intelligence Elect Equipm Tianjin Peoples R China AECC South Ind Co Ltd Blade Machining Ctr Zhuzhou Peoples R China Hunan Univ Coll Mech & Vehicle Engn Changsha Peoples R China Suzhou Shushe Technol Co Ltd Suzhou Peoples R China Hebei Univ Technol Sch Mech Engn Tianjin Peoples R China
To address the challenges faced in industrial anomaly detection, including data sample imbalance, lack of anomaly labels, and complex spatiotemporal relationships in high-dimensional data, this paper proposes a novel ... 详细信息
来源: 评论
Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment
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ENERGIES 2025年 第7期18卷 1637-1637页
作者: Goncalves, Rafael Magalhaes, Diogo Teixeira, Rafael Antunes, Mario Gomes, Diogo Aguiar, Rui L. Inst Telecomunicacoes P-3810193 Aveiro Portugal Univ Aveiro Dept Eletron Telecomunicacoes & Informat P-3810193 Aveiro Portugal
The non-stationary nature of energy data is a serious challenge for energy forecasting methods. Frequent model updates are necessary to adapt to distribution shifts and avoid performance degradation. However, retraini... 详细信息
来源: 评论
Longitudinal Alzheimer's Disease Progression Prediction With Modality Uncertainty and Optimization of Information Flow
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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2025年 第1期29卷 259-272页
作者: Dao, Duy-Phuong Yang, Hyung-Jeong Kim, Jahae Ho, Ngoc-Huynh Chonnam Natl Univ Dept Artificial Intelligence Convergence Gwangju 61186 South Korea Chonnam Natl Univ Hosp Dept Nucl Med Gwangju 61469 South Korea
Alzheimer's disease (AD) is a global neurodegenerative disorder that affects millions of individuals worldwide. Actual AD imaging datasets challenge the construction of reliable longitudinal models owing to imagin... 详细信息
来源: 评论
Identifying local useful information for attribute graph anomaly detection
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NEUROCOMPUTING 2025年 617卷
作者: Xi, Penghui Cheng, Debo Lu, Guangquan Deng, Zhenyun Zhang, Guixian Zhang, Shichao Guangxi Normal Univ Guangxi Key Lab Multisource Informat Min & Secur Guilin Peoples R China Univ South Australia UniSA STEM Adelaide Australia Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China China Univ Min & Technol Sch Comp Sci & Technol Xuzhou Jiangsu Peoples R China
Graph anomaly detection primarily relies on shallow learning methods based on feature engineering and deep learning strategies centred on autoencoder-based reconstruction. However, these methods frequently fail to har... 详细信息
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An intelligent sequential fraud detection model based on deep learning
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JOURNAL OF SUPERCOMPUTING 2024年 第10期80卷 14824-14847页
作者: Zioviris, Georgios Kolomvatsos, Kostas Stamoulis, George Univ Thessaly Dept Elect & Comp Engn Glavani 37 Volos 38221 Thessaly Greece Univ Thessaly Dept Informat & Telecommun Papasiopoulou 2-4 Lamia 35131 Thessaly Greece
Fraud detection and prevention has received a lot of attention from the research community due to its high impact on financial institutions' revenues and reputation. The increased use of the web and the provision ... 详细信息
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Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
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SCIENCE OF THE TOTAL ENVIRONMENT 2024年 912卷 169540页
作者: Shin, Jihoon Lee, Gunhyeong Kim, Taeho Cho, Kyung Hwa Hong, Seok Min Kwon, Do Hyuck Pyo, Jongcheol Cha, Yoonkyung Univ Seoul Sch Environm Engn Seoul 02504 South Korea Univ Michigan Dept Civil & Environm Engn Ann Arbor MI USA Korea Univ Sch Civil Environm & Architectural Engn Seoul 02841 South Korea Ulsan Natl Inst Sci & Technol Sch Urban & Environm Engn Ulsan 44919 South Korea Pusan Natl Univ Dept Environm Engn Busan 46241 South Korea
Recent advances in remote sensing techniques provide a new horizon for monitoring the spatiotemporal variations of harmful algal blooms (HABs) using hyperspectral data in inland water. In this study, a hierarchical co... 详细信息
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Vehicular Social Dynamic Anomaly Detection With Recurrent Multi-Mask Aggregator Enabled VAE
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2024年 第12期25卷 21709-21722页
作者: Hu, Zehao He, Yuwei Shen, Yuqi Jo, Minho Collotta, Mario Shen, Guojiang Kong, Xiangjie Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Peoples R China Korea Univ Dept Comp Convergence Software Sejong City 30019 South Korea Kore Univ Enna Fac Engn & Architecture I-94100 Enna Italy
Vehicle driving behavior analysis and detection tasks have become an indispensable part of intelligent transportation systems. Accurate pattern recognition of potential anomalies during the movement of entities is cru... 详细信息
来源: 评论