Cover Image

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Si, Haotian, Li, Jianhui, Pei, Changhua, Cui, Hang, Yang, Jingwen, Sun, Yongqian, Zhang, Shenglin, Li, Jingjing, Zhang, Haiming, Han, Jing, Pei, Dan, Xie, Gaogang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
by: Si, Haotian, et al.
Published: (2025)

ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts
by: Wang, Zexin, et al.
Published: (2025)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
by: Zhou, Quan, et al.
Published: (2024)

TShape: Rescuing Machine Learning Models from Complex Shapelet Anomalies
by: Cui, Hang, et al.
Published: (2025)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
by: Wang, Zexin, et al.
Published: (2024)

KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning
by: Si, Haotian, et al.
Published: (2026)

A Survey on AgentOps: Categorization, Challenges, and Future Directions
by: Wang, Zexin, et al.
Published: (2025)

OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models
by: Liu, Yuhe, et al.
Published: (2023)

TimeSense:Making Large Language Models Proficient in Time-Series Analysis
by: Zhang, Zhirui, et al.
Published: (2025)

Agent System Operations: Categorization, Challenges, and Future Directions
by: Wang, Zexin, et al.
Published: (2026)

Predicting Parameter Change's Effect on Cellular Network Time Series
by: Li, Mingjie, et al.
Published: (2024)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis
by: Pei, Changhua, et al.
Published: (2025)

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark
by: Xue, Siqiao, et al.
Published: (2026)

GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing
by: Ma, Xianzhi, et al.
Published: (2025)

LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs
by: Zeng, Yikai, et al.
Published: (2026)

TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
by: Qiu, Xiangfei, et al.
Published: (2025)

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
by: Liu, Jinyang, et al.
Published: (2024)

Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series
by: Pei, Yunhua, et al.
Published: (2026)

Strong Linear Baselines Strike Back: Closed-Form Linear Models as Gaussian Process Conditional Density Estimators for TSAD
by: Yugay, Aleksandr, et al.
Published: (2026)

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
by: Nosrati, Khayyam, et al.
Published: (2026)

MANDALA—Visual Exploration of Anomalies in Industrial Multivariate Time Series Data
by: J. Suschnigg, et al.
Published: (2025)

Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)

SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
by: He, Zelin, et al.
Published: (2026)

Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection
by: Tang, Qideng, et al.
Published: (2026)

Retrieval-Augmented Generation with Covariate Time Series
by: Liang, Kenny Ye, et al.
Published: (2026)

From Time Series Analysis to Question Answering: A Survey in the LLM Era
by: Li, Wei, et al.
Published: (2025)

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025)

UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
by: Wu, Li, et al.
Published: (2024)

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)

Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation
by: Wang, Wenxuan, et al.
Published: (2025)

Improving Anomaly Detection in Industrial Time Series: The Role of Segmentation and Heterogeneous Ensemble
by: Mastriani, Emilio, et al.
Published: (2025)

Harnessing Unsupervised LSTM Autoencoders for Anomaly Detection in Cybersecurity Time Series
by: Jing Liang
Published: (2025)

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management
by: Sun, Yongqian, et al.
Published: (2024)

Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
by: Zhang, Li, et al.
Published: (2026)

TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
by: Zhang, Haoran, et al.
Published: (2025)

ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
by: Hermary, Romain, et al.
Published: (2026)

DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)

Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive
by: Francisco J. Baldán, et al.
Published: (2024)