138 citations · 237 across the 5 of their papers we have counts for
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stat.ML2018★ 138 cited
A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
Tomáš Kliegr, Štěpán Bahník, Johannes Fürnkranz
While the interpretability of machine learning models is often equated with their mere syntactic comprehensibility, we think that interpretability goes beyond that, and that human…
cs.LG2018★ 70 cited
On Cognitive Preferences and the Plausibility of Rule-based Models
Johannes Fürnkranz, Tomáš Kliegr, Heiko Paulheim
It is conventional wisdom in machine learning and data mining that logical models such as rule sets are more interpretable than other models, and that among such rule-based models,…