9 citations · 12 across the 6 of their papers we have counts for
6 papers
Portuguese Man-of-War Image Classification with Convolutional Neural Networks
Alessandra Carneiro, Lorena Nascimento, Mauricio Noernberg +2
Portuguese man-of-war (PMW) is a gelatinous organism with long tentacles capable of causing severe burns, thus leading to negative impacts on human activities, such as tourism and…
An Analysis of the Admissibility of the Objective Functions Applied in Evolutionary Multi-objective Clustering
Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
A variety of clustering criteria has been applied as an objective function in Evolutionary Multi-Objective Clustering approaches (EMOCs). However, most EMOCs do not provide detaile…
Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and -MOCK
Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo +1
We present a data-driven analysis of MOCK, -MOCK, and MOCLE. These are three closely related approaches that use multi-objective optimization for crisp clustering. More specific…
A Review of Evolutionary Multi-objective Clustering Approaches
Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been widely applied to extract patterns, allowing us to analyze different aspects of complex data…
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems
Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo +1
Evolutionary algorithms based on modeling the statistical dependencies (interactions) between the variables have been proposed to solve a wide range of complex problems. These algo…
Effective linkage learning using low-order statistics and clustering
Leonardo Emmendorfer, Aurora Pozo
The adoption of probabilistic models for the best individuals found so far is a powerful approach for evolutionary computation. Increasingly more complex models have been used by e…