Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling

1 code implementation • 17 Jan 2022 • Nima Rafiee, Rahil Gholamipoorfard, Nikolas Adaloglou, Simon Jaxy, Julius Ramakers, Markus Kollmann

Detecting whether examples belong to a given in-distribution or are Out-Of-Distribution (OOD) requires identifying features specific to the in-distribution.

Out of Distribution (OOD) Detection Self-Supervised Anomaly Detection +1

Teaching a Machine to Diagnose a Heart Disease; Beginning from digitizing scanned ECGs to detecting the Brugada Syndrome (BrS)

no code implementations • 27 Aug 2020 • Simon Jaxy

It is hoped that this work builds a new foundation for computational investigations in the case of the BrS and its diagnosis.