A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
Fuente:
arXiv
Saved in:
| Main Authors: | Karami, Mohammad, Jalali, Mostafa, Ghassemi, Fatemeh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Anomaly Detection in Time Series: A Survey
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025)
by: Boggia, Laura, et al.
Published: (2025)
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)
by: Si, Haotian, et al.
Published: (2024)
OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
by: Karami, Mohammad, et al.
Published: (2025)
by: Karami, Mohammad, et al.
Published: (2025)
A FEDformer-Based Hybrid Framework for Anomaly Detection and Risk Forecasting in Financial Time Series
by: Fan, Ziling, et al.
Published: (2025)
by: Fan, Ziling, et al.
Published: (2025)
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
by: Liu, Jinyang, et al.
Published: (2024)
by: Liu, Jinyang, et al.
Published: (2024)
Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection
by: Khosravinia, Pooyan, et al.
Published: (2026)
by: Khosravinia, Pooyan, et al.
Published: (2026)
Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark
by: Yao, Xu, et al.
Published: (2026)
by: Yao, Xu, et al.
Published: (2026)
Contrastive Time Series Forecasting with Anomalies
by: Ekstrand, Joel, et al.
Published: (2025)
by: Ekstrand, Joel, et al.
Published: (2025)
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
by: Zhou, Xiaona, et al.
Published: (2025)
by: Zhou, Xiaona, et al.
Published: (2025)
Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD
by: Yeh, Chin-Chia Michael
Published: (2026)
by: Yeh, Chin-Chia Michael
Published: (2026)
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
by: Park, Min-Yeong, et al.
Published: (2025)
by: Park, Min-Yeong, et al.
Published: (2025)
Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets
by: Islam, Mohammad Saiful, et al.
Published: (2026)
by: Islam, Mohammad Saiful, et al.
Published: (2026)
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting
by: Koumar, Josef, et al.
Published: (2024)
by: Koumar, Josef, et al.
Published: (2024)
We Need to Rethink Benchmarking in Anomaly Detection
by: Röchner, Philipp, et al.
Published: (2025)
by: Röchner, Philipp, et al.
Published: (2025)
Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
by: Fu, Dongqi, et al.
Published: (2024)
by: Fu, Dongqi, et al.
Published: (2024)
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
by: Li, Zhe, et al.
Published: (2024)
by: Li, Zhe, et al.
Published: (2024)
Benchmarking Anomaly Detection Algorithms: Deep Learning and Beyond
by: Mehta, Shanay, et al.
Published: (2024)
by: Mehta, Shanay, et al.
Published: (2024)
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)
by: Li, Yuangang, et al.
Published: (2024)
NUMOSIM: A Synthetic Mobility Dataset with Anomaly Detection Benchmarks
by: Stanford, Chris, et al.
Published: (2024)
by: Stanford, Chris, et al.
Published: (2024)
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
by: Srinivasan, Abhishek, et al.
Published: (2025)
by: Srinivasan, Abhishek, et al.
Published: (2025)
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
by: Forootani, Ali, et al.
Published: (2025)
by: Forootani, Ali, et al.
Published: (2025)
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series
by: Deng, Ziquan, et al.
Published: (2024)
by: Deng, Ziquan, et al.
Published: (2024)
An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series
by: Martinez, Waldyn G
Published: (2026)
by: Martinez, Waldyn G
Published: (2026)
Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
by: Ekstrand, Joel, et al.
Published: (2025)
by: Ekstrand, Joel, et al.
Published: (2025)
Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
Contextual and Seasonal LSTMs for Time Series Anomaly Detection
by: Zhang, Lingpei, et al.
Published: (2026)
by: Zhang, Lingpei, et al.
Published: (2026)
Open-Set Multivariate Time-Series Anomaly Detection
by: Lai, Thomas, et al.
Published: (2023)
by: Lai, Thomas, et al.
Published: (2023)
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
by: Shao, Zezhi, et al.
Published: (2023)
by: Shao, Zezhi, et al.
Published: (2023)
Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction
by: Hassan, Atif, et al.
Published: (2025)
by: Hassan, Atif, et al.
Published: (2025)
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
by: Qiu, Xiangfei, et al.
Published: (2024)
by: Qiu, Xiangfei, et al.
Published: (2024)
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection
by: Cao, Tri, et al.
Published: (2024)
by: Cao, Tri, et al.
Published: (2024)
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
by: Pillai, Sneh
Published: (2025)
by: Pillai, Sneh
Published: (2025)
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
by: Cheng, Hao, et al.
Published: (2024)
by: Cheng, Hao, et al.
Published: (2024)
CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams
by: Devireddy, Ashok, et al.
Published: (2025)
by: Devireddy, Ashok, et al.
Published: (2025)
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
by: Sadough, Amirhossein, et al.
Published: (2025)
by: Sadough, Amirhossein, et al.
Published: (2025)
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
by: Derakhshan, Mohammad, et al.
Published: (2025)
by: Derakhshan, Mohammad, et al.
Published: (2025)
Similar Items
-
Graph Anomaly Detection in Time Series: A Survey
by: Ho, Thi Kieu Khanh, et al.
Published: (2023) -
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
by: Qiu, Xiangfei, et al.
Published: (2025) -
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025) -
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024) -
OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
by: Karami, Mohammad, et al.
Published: (2025)