Ricardo Cerri

Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm

2020

Multi-label classification consists in classifying an instance into two or more classes simultaneously. Recently, the interest in interpretable classification models have grown, partially as a consequence of regulations such as the General Data Protection Regulation. …

Multi-Label Classification with Label Clusters

2023 · Research Square

Abstract Multi-Label Classification is the task of simultaneously predicting a set of labels for an instance. Typically, two approaches are used: global, which trains a single classifier to deal with all classes at once, and …