3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2021
Explaining Classes through Word Attribution
Samuel Rönnqvist, Amanda Myntti, Aki-Juhani Kyröläinen +3
In recent years, several methods have been proposed for explaining individual predictions of deep learning models, yet there has been little study of how to aggregate these predict…
cs.IR2014★ 3 cited
Interactive Visual Exploration of Topic Models using Graphs
Samuel Rönnqvist, Xiaolu Wang, Peter Sarlin
Probabilistic topic modeling is a popular and powerful family of tools for uncovering thematic structure in large sets of unstructured text documents. While much attention has been…