Cover Image

IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Xiaohui, Wang, Yijie, Xu, Hongzuo, Liang, Weixuan, Li, Xiaoli, Pang, Guansong
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
by: Xu, Hongzuo, et al.
Published: (2022)

Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
by: Chen, Yutong, et al.
Published: (2024)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
by: Zhao, Sinong, et al.
Published: (2024)

Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
by: Zhang, Ruyi, et al.
Published: (2024)

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

Open-Set Graph Anomaly Detection via Normal Structure Regularisation
by: Wang, Qizhou, et al.
Published: (2023)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2023)

Deep Graph Anomaly Detection: A Survey and New Perspectives
by: Qiao, Hezhe, et al.
Published: (2024)

LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection
by: Wang, Dezheng, et al.
Published: (2026)

AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds
by: Wang, Qizhou, et al.
Published: (2025)

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024)

A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble
by: Yu, Zewei, et al.
Published: (2026)

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

GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation
by: Bello, Federico, et al.
Published: (2026)

mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
by: Zhou, Xiaona, et al.
Published: (2025)

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
by: Gil, Natalia Martinez, et al.
Published: (2026)

Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
by: Shyalika, Chathurangi, et al.
Published: (2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection
by: Chen, Junqi, et al.
Published: (2024)

An Improved Time Series Anomaly Detection by Applying Structural Similarity
by: Wang, Tiejun, et al.
Published: (2025)

RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detection
by: Maru, Chihiro, et al.
Published: (2025)

Leveraging Intermediate Representations of Time Series Foundation Models for Anomaly Detection
by: Han, Chan Sik, et al.
Published: (2025)

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

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection
by: Zhang, Junru, et al.
Published: (2026)

SMKC: Sketch Based Kernel Correlation Images for Variable Cardinality Time Series Anomaly Detection
by: Zhou, Haokun
Published: (2026)

A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
by: Yang, Kaixiang, et al.
Published: (2025)

Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
by: Peng, Yifeng, et al.
Published: (2024)

A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
by: Pang, Yining, et al.
Published: (2024)

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
by: Der, Audrey, et al.
Published: (2024)

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
by: Khan, Uzair, et al.
Published: (2026)

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

CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting
by: Koumar, Josef, et al.
Published: (2024)

TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
by: He, Hui, et al.
Published: (2026)

TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
by: Li, Mengxuan, et al.
Published: (2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

Learning Unified Representations of Normalcy for Time Series Anomaly Detection
by: Sarker, Prithul, et al.
Published: (2026)

Deep Learning for Time Series Anomaly Detection: A Survey
by: Darban, Zahra Zamanzadeh, et al.
Published: (2022)

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection
by: González, Gastón García, et al.
Published: (2025)