62 citations · 66 across the 4 of their papers we have counts for
4 papers
Multi-label Stream Classification with Self-Organizing Maps
Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva +1
Several learning algorithms have been proposed for offline multi-label classification. However, applications in areas such as traffic monitoring, social networks, and sensors produ…
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp +2
Multi-label classification consists in classifying an instance into two or more classes simultaneously. It is a very challenging task present in many real-world applications, such…
Preventing the Generation of Inconsistent Sets of Classification Rules
Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ricardo Cerri
In recent years, the interest in interpretable classification models has grown. One of the proposed ways to improve the interpretability of a rule-based classification model is to…
Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms
Rafael Gomes Mantovani, Tomáš Horváth, André L. D. Rossi +4
Machine learning algorithms often contain many hyperparameters (HPs) whose values affect the predictive performance of the induced models in intricate ways. Due to the high number…