5 citations · 5 across the 1 of their papers we have counts for
2 papers
stat.ME2025★ 5 cited
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…
cs.CL2020
Domain-based Latent Personal Analysis and its use for impersonation detection in social media
Osnat Mokryn, Hagit Ben-Shoshan
Zipf's law defines an inverse proportion between a word's ranking in a given corpus and its frequency in it, roughly dividing the vocabulary into frequent words and infrequent ones…