AAAI-Lab-Rare-Event-Prediction

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

ERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction

Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.

Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired during training, where normality and anomaly patterns are built using syntetic data

An approach for detecting tsunamis using anomaly detection anomalies on sTec d/dt data from orbiting GPS satellites.