GoldenEye++: A Closer Look into the Black Box

By Andreas Henelius, Kai Puolamäki, Isak Karlsson, Lars Asker, Henrik Bostrom, Panagiotis Papapetrou. 2015

18 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Toxicology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Antti Ukkonen
2. Kai Puolamäki
3. Andreas Henelius

Citations in the corpus

• Interpreting Classifiers through Attribute Interactions in Datasets (2017, background): “Recently, machine learning methods have been applied to investigate drug-drug (Henelius et al., 2015) and gene-gene interactions (Li et al., 2016).”
• Finding Statistically Significant Attribute Interactions (2016, methodology): “work has been motivated and influenced by the recently introduced GoldenEye algorithm [8, 9], as well as the results about classifiers and attribute interactions in [17].”