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Anomaly Forecasting

Anomaly forecasting is a critical aspect of modern data analysis, where the goal is to predict unusual patterns or behaviors in data sets that deviate from the norm. This process is vital across various fields, such as finance, cybersecurity, healthcare, and manufacturing, to preemptively identify and mitigate potential issues.

Papers

Showing 14 of 4 papers

TitleStatusHype
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis0
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review0
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsCode1
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