Papers Anomaly Forecasting
“Anomaly Forecasting” 태그가 달린 논문 4편 · 필터 해제
Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
We propose a hybrid meta-learning framework for forecasting and anomaly detection in nonlinear dynamical systems characterized by nonstationary and stochastic behavior. The approach integrates a physics-inspired simulato…
Anomaly DetectionAnomaly ForecastingAnomaly LocalizationMeta-Learning+1AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis
The rapid advancements in large language models (LLMs) have spurred growing interest in LLM-based video anomaly detection (VAD). However, existing approaches predominantly focus on video-level anomaly question answering …
Anomaly DetectionAnomaly ForecastingQuestion AnsweringVideo Anomaly DetectionLarge Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospe…
Anomaly ClassificationAnomaly DetectionAnomaly ForecastingSpatio-Temporal Forecasting+2AA-Forecast: Anomaly-Aware Forecast for Extreme Events
Time series models often deal with extreme events and anomalies, both prevalent in real-world datasets. Such models often need to provide careful probabilistic forecasting, which is vital in risk management for extreme e…
Anomaly ForecastingMultivariate Time Series ForecastingProbabilistic Time Series ForecastingTime Series+5