13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 13 cited
Feature construction using explanations of individual predictions
Boštjan Vouk, Matej Guid, Marko Robnik-Šikonja
Feature construction can contribute to comprehensibility and performance of machine learning models. Unfortunately, it usually requires exhaustive search in the attribute space or…
cs.CL2021
Training dataset and dictionary sizes matter in BERT models: the case of Baltic languages
Matej Ulčar, Marko Robnik-Šikonja
Large pretrained masked language models have become state-of-the-art solutions for many NLP problems. While studies have shown that monolingual models produce better results than m…
cs.AI2014★ 1 cited
Identifying roles of clinical pharmacy with survey evaluation
Andreja Čufar, Aleš Mrhar, Marko Robnik-Šikonja
The survey data sets are important sources of data and their successful exploitation is of key importance for informed policy-decision making. We present how a survey analysis appr…