Interpretable Transformation and Analysis of Timelines through Learning via Surprisability

Osnat Mokryn, Teddy Lazebnik, Hagit Ben Shoshan

The analysis of high-dimensional timeline data and the identification of outliers and anomalies is critical across diverse domains, including sensor readings, biological and medica…