Cover Image

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Feiyi, zhang, Yingying, Qin, Zhen, Fan, Lunting, Jiang, Renhe, Liang, Yuxuan, Wen, Qingsong, Deng, Shuiguang
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cluster-Wide Task Slowdown Detection in Cloud System
by: Chen, Feiyi, et al.
Published: (2024)

CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
by: Xia, Yutong, et al.
Published: (2025)

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2025)

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
by: Qin, Zhen, et al.
Published: (2023)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
by: Liu, Zichuan, et al.
Published: (2024)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
by: Dong, Zheng, et al.
Published: (2024)

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2026)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
by: Qin, Dalin, et al.
Published: (2024)

A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network
by: Chen, Feiyi, et al.
Published: (2023)

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
by: Zhou, Ziyu, et al.
Published: (2025)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
by: Darban, Zahra Zamanzadeh, et al.
Published: (2024)

GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
by: Chen, Weiqi, et al.
Published: (2024)

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
by: Cheng, Hao, et al.
Published: (2024)

Toward Physics-guided Time Series Embedding
by: Hu, Jiaxi, et al.
Published: (2024)

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
by: Zhan, Tianxiang, et al.
Published: (2024)

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
by: Liu, Qingxiang, et al.
Published: (2024)

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)

SatFusion: A Unified Framework for Enhancing Remote Sensing Images via Multi-Frame and Multi-Source Images Fusion
by: Tong, Yufei, et al.
Published: (2025)

Towards Neural Scaling Laws for Time Series Foundation Models
by: Yao, Qingren, et al.
Published: (2024)

Causal Time Series Generation via Diffusion Models
by: Xia, Yutong, et al.
Published: (2025)

Foundation Models for Time Series Analysis: A Tutorial and Survey
by: Liang, Yuxuan, et al.
Published: (2024)

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
by: Wang, Zefan, et al.
Published: (2023)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems
by: Ouyang, Biao, et al.
Published: (2025)

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
by: Zhong, Siru, et al.
Published: (2025)

F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information
by: Lu, Yi-Xiang, et al.
Published: (2024)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
by: Zhang, YiFan, et al.
Published: (2024)

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
by: Ye, Weiwei, et al.
Published: (2024)

NuwaTS: a Foundation Model Mending Every Incomplete Time Series
by: Cheng, Jinguo, et al.
Published: (2024)

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting
by: Piao, Xihao, et al.
Published: (2024)

TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning
by: Liu, Hangchen, et al.
Published: (2026)

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback
by: Yang, Yiyuan, et al.
Published: (2025)

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
by: Yi, Kun, et al.
Published: (2023)

Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
by: Baumgartner, David, et al.
Published: (2026)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
by: Chen, Peng, et al.
Published: (2024)

BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
by: Qin, Zhen, et al.
Published: (2022)

FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
by: Li, Zhengnan, et al.
Published: (2024)

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
by: Cai, Rongyao, et al.
Published: (2025)