… -interpretable classifier is expressible as a k-DNF consisting of … with DNF representations
of k-AXp-interpretable classifiers … -interpretable classifier is expressible as a k-DNF formula …

… that nested DNFs are an interpretable alternative to … of interpretable models called nested
DNFs. In order to ensure formal correctness of our experimental investigation of nested DNFs, …

… that nested DNFs are an interpretable alternative to … of interpretable models called nested
DNFs. In order to ensure formal correctness of our experimental investigation of nested DNFs, …

… In the following, we present a user study that compares the interpretability of tooth expressions
and DNF formulas. In the study, respondents were asked to carry out two tasks using …

… the results of the current study, it is expected that the DNFS will be used to solve general
high-dimensional regression problems efficiently with high accuracy and better interpretability. …

… When looking at results of different DNFs vs Tooth operator we observed that simpler DNF
formats, namely DNF1 and DNF2, yielded more accurate responses. Tooth operators perform …

… ] uses fuzzy filters to create an interpretable latent space, achieving 94.8% accuracy on
MNIST while providing explanations for digit classification. Hierarchical DNFS [8] stacks multiple …

… In the following, we present a user study that compares the interpretability of tooth expressions
and DNF formulas. In the study, respondents were asked to carry out two tasks using …

… Motivated by this, we propose a DNFS-based VNE algorithm that aims to provide an …
performance of interpretable DL represented by DNFS, this work proposes a DNFS-based VNE …

… DNFMT, for learning interpretable and editable policies.Our model is built upon the semi-symbolic
layer and neural DNF … In summary, our neural DNF-MT model learns interpretable and …