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GSM: Global Semantic Memory 期刊论文
PATTERN RECOGNITION, 2026, 卷号: 169, 页码: 16
作者:  Li, Jiahao;  Chen, Yiqiang;  Xing, Yunbing;  Gu, Yang;  Lan, Xiangyuan
收藏  |  浏览/下载：25/0  |  提交时间：2025/12/03
Anomaly detection  Unsupervised learning  Memory  
TranDA: Behavior traceable anomaly detection and attribution for 5G control plane via message sequence analysis 期刊论文
COMPUTER NETWORKS, 2026, 卷号: 274, 页码: 14
作者:  Dai, Lulu;  Sun, Qian;  Wang, Yuanyuan;  Fan, Xuancheng;  Tian, Lin
收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25
5G  Control plane  Anomaly detection  Behavior attribution  Traceability  Message sequence  
Transaction Spatio-Temporal Distribution for Permissioned Blockchain Performance Profiling 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2025, 卷号: 37, 期号: 27-28, 页码: 13
作者:  Mao, Jianhuan;  Zhu, Mengxiao;  Sun, Yi;  Li, Lei;  Zhu, Haogang
收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25
anomaly detection  blockchain  performance evaluation  spatio-temporal analysis  
LogOW: A semi-supervised log anomaly detection model in open-world setting 期刊论文
JOURNAL OF SYSTEMS AND SOFTWARE, 2025, 卷号: 222, 页码: 13
作者:  Ye, Jingwei;  Liu, Chunbo;  Gu, Zhaojun;  Zhang, Zhikai;  Meng, Xuying;  Zhang, Weiyao;  Zhang, Yujun
收藏  |  浏览/下载：36/0  |  提交时间：2025/06/25
Semi-supervised  Log anomaly detection  Open-world  Uncertainty estimation  Incremental pre-training  Cold-start  
LECLIP: Boosting Zero-Shot Anomaly Detection With Local Enhanced CLIP 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 卷号: 74, 页码: 11
作者:  Liu, Yuyao;  Li, Qingyong;  Wang, Zhehong;  Kato, Jien;  Zhang, Jie;  Wang, Wen
收藏  |  浏览/下载：22/0  |  提交时间：2025/12/03
Visualization  Anomaly detection  Training  Accuracy  Image representation  Feature extraction  Biomedical imaging  Semantics  Attention mechanisms  Artificial intelligence  Echo-attention (EA)  local alignment (LA) module  local enhanced CLIP (LECLIP)  zero-shot anomaly detection (ZSAD)  
An Unsupervised Long- and Short-Term Sparse Graph Neural Network for Multisensor Anomaly Detection 期刊论文
IEEE SENSORS JOURNAL, 2024, 卷号: 24, 期号: 14, 页码: 23088-23097
作者:  Miao, Qiucheng;  Wang, Dandan;  Xu, Chuanfu;  Zhan, Jun;  Wu, Chengkun
收藏  |  浏览/下载：66/0  |  提交时间：2024/12/06
Sensors  Anomaly detection  Time series analysis  Sensor systems  Graph neural networks  Correlation  Sensor fusion  Graph neural network (GNN)  long-term  short-term  skip-gate recurrent unit (skip-GRU)  
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1356-1370
作者:  Feng, Wenjie;  Liu, Shenghua;  Koutra, Danai;  Cheng, Xueqi
收藏  |  浏览/下载：79/0  |  提交时间：2024/05/20
Approximation algorithms  Image edge detection  Heuristic algorithms  Greedy algorithms  Optimization  Collaboration  Task analysis  Algorithm  anomaly detection  dense subgraph  graph spectral theory  large graph mining  
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 12, 页码: 12068-12080
作者:  Zhang, Yuxin;  Wang, Jindong;  Chen, Yiqiang;  Yu, Han;  Qin, Tao
收藏  |  浏览/下载：57/0  |  提交时间：2024/05/20
Unsupervised anomaly detection  time series  self-supervised learning  memory network  
AD(2)S: Adaptive anomaly detection on sporadic data streams 期刊论文
COMPUTER COMMUNICATIONS, 2023, 卷号: 209, 页码: 151-162
作者:  Liu, Fengrui;  Wang, Yang;  Li, Zhenyu;  Guan, Hongtao;  Xie, Gaogang
收藏  |  浏览/下载：60/0  |  提交时间：2023/12/04
Anomaly detection  Sporadic data  Data streams  Quality of service  
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 2, 页码: 2118-2132
作者:  Zhang, Yuxin;  Chen, Yiqiang;  Wang, Jindong;  Pan, Zhiwen
收藏  |  浏览/下载：67/0  |  提交时间：2023/07/12
Anomaly detection  Predictive models  Data models  Autoregressive processes  Image reconstruction  Forecasting  Computational modeling  Unsupervised anomaly detection  multi-sensor time series  convolutional autoencoder  attention based BiLSTM