Nonparametric time series anomaly detection via diffusion-driven compatibility ranking
Authors:
- Zhixia ZengZZZhixia Zeng
- Hancheng XiaoHXHancheng Xiao
- Zhipeng QiuZQZhipeng Qiu
- Weifu ZhuWZWeifu Zhu
- Shi ZhangSZShi Zhang
- Ruliang XiaoRXRuliang Xiao
- 18 October 2026
- journal article
- Published by Elsevier in Information Processing & Management
- Vol. 64 (2)
Abstract
No abstract availableFunding Information
- Fujian Provincial Department of Science and Technology
- National Natural Science Foundation of China
This publication has 19 references indexed in Scilit:
- Uncertainty-aware memory-enhanced cross-window dependency learning for robust multivariate time series anomaly detectionInformation Processing & Management, 2026
- Pi-transformer: A prior-informed dual-attention model for multivariate time-series anomaly detectionApplied Soft Computing, 2026
- Modeling heterogeneous normality in time series anomaly detectionInformation Processing & Management, 2026
- A generalizable anomaly detection framework with dynamic concept drift suppression for non-stationary time seriesKnowledge-Based Systems, 2026
- Fine-grained multivariate time series anomaly detection via causal inferenceKnowledge-Based Systems, 2025
- CSCAD: Modeling cross-scale sequence correlations for multivariate time series anomaly detectionInformation Processing & Management, 2025
- SSDCL: Semi-Supervised Denoising-Aware Contrastive Learning for Time Series Anomaly Detection in Cyber-Physical SystemsIEEE Transactions on Information Forensics and Security, 2025
- CARLA: Self-supervised contrastive representation learning for time series anomaly detectionPattern Recognition, 2024
- Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networksInformation Processing & Management, 2023
- Probability Inequalities for Sums of Bounded Random VariablesJournal of the American Statistical Association, 1963