25 citations · 42 across the 12 of their papers we have counts for
16 papers
Non-Supervised Community Detection and Hierarchical Modularity Estimation in Complex Networks
Alexandre Benatti, Luciano da F. Costa
This work extends to complex networks a recently described methodology (A. Benatti and L. da F Costa, Detecting Hierarchical Clusters and Estimating their Modularity Directly from…
Detecting Hierarchical Clusters and Estimating their Modularity Directly from Dendrograms
Alexandre Benatti, Luciano da F. Costa
Identifying possible clusters in datasets and estimating their hierarchical modularity are central tasks in pattern recognition. In the present work, concepts and methodologies are…
Agglomerative Clustering in Uniform and Proportional Feature Spaces
Alexandre Benatti, Luciano da F. Costa
Pattern comparison represents a fundamental and crucial aspect of scientific modeling, artificial intelligence, and pattern recognition. Three main approaches have typically been a…
Cross-Relation Characterization of Knowledge Networks
Eric K. Tokuda, Renaud Lambiotte, Luciano da F. Costa
Knowledge networks have become increasingly important as a changing repository of data which can be represented, studied and modeled by using complex networks concepts and methodol…
Using Full-Text Content to Characterize and Identify Best Seller Books
Giovana D. da Silva, Filipi N. Silva, Henrique F. de Arruda +3
Artistic pieces can be studied from several perspectives, one example being their reception among readers over time. In the present work, we approach this interesting topic from th…
Neuromorphic Networks as Revealed by Features Similarity
Alexandre Benatti, Henrique F. de Arruda, Luciano da F. Costa
The study of neuronal morphology is important not only for its potential relationship with neuronal dynamics, but also as a means to classify diverse types of cells and compare tha…