This Special Issue presents papers selected from the 5th Brazilian Conference on Intelligent Systems (BRACIS), which was held in Recife (Pernambuco), Brazil, from 09 to 12 October, 2016. BRACIS is sponsored by the Brazilian Computer Society (SBC) and it covers topics related to Artificial Neural Networks, Evolutionary Computation, Fuzzy Systems and other models of computational intelligence. The emphasis of BRACIS is on original theories and novel applications of these models, and the proceedings are traditionally published by the IEEE Computer Society Press. BRACIS has an international Program Committee, which includes well-established researchers from Brazil and abroad. The papers submitted to BRACIS 2016 represented a broad range of research developed in Brazil and other countries. In 2016, a total of 176 submissions were received. After a rigorous review process, 76 papers have been accepted for publication in the IEEE proceedings. The papers with best reviews were then invited to submit an extended version for this Special Issue. The contents of each invited paper had to be substantially expanded, and the main focus of the special issue reviewers was in the originality, significance, and technical contribution of the extended papers. At the end of a rigorous reviewing process, four papers have been selected to be published in this Special Issue. The scope of the four selected papers can be considered as interdisciplinary, ranging from Statistics and Computing to Engineering. In the first paper, we turn our
[1]
Ricardo B. C. Prudêncio,et al.
A Comparative Study of Group Profiling Techniques in Co-authorship Networks
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2016,
2016 5th Brazilian Conference on Intelligent Systems (BRACIS).
[2]
João Paulo Pordeus Gomes,et al.
Co-MLM: A SSL Algorithm Based on the Minimal Learning Machine
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2016,
2016 5th Brazilian Conference on Intelligent Systems (BRACIS).
[3]
Javam C. Machado,et al.
Fault Detection in Hard Disk Drives Based on Mixture of Gaussians
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2016,
2016 5th Brazilian Conference on Intelligent Systems (BRACIS).
[4]
Guilherme Novaes Ramos,et al.
Automatic Identification of Security Risks in Edicts for Software Procurement
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2016,
2016 5th Brazilian Conference on Intelligent Systems (BRACIS).