13 citations · 18 across the 2 of their papers we have counts for
2 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.AI2015★ 5 cited
The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity
Azlan Iqbal, Matej Guid, Simon Colton +3
We introduce a new artificial intelligence (AI) approach called, the 'Digital Synaptic Neural Substrate' (DSNS). It uses selected attributes from objects in various domains (e.g. c…