P
Péricles B. C. de Miranda
Researcher at Universidade Federal Rural de Pernambuco
Publications - 59
Citations - 508
Péricles B. C. de Miranda is an academic researcher from Universidade Federal Rural de Pernambuco. The author has contributed to research in topics: Computer science & Particle swarm optimization. The author has an hindex of 11, co-authored 43 publications receiving 335 citations. Previous affiliations of Péricles B. C. de Miranda include Federal University of Pernambuco & Universidade de Pernambuco.
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Proceedings ArticleDOI
A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort
TL;DR: A mechanism for functional TC selection which considers two objectives simultaneously: maximize requirements' coverage while minimizing cost in terms of TC execution effort and two multi-objective versions of PSO are implemented.
Journal ArticleDOI
Data complexity meta-features for regression problems
Ana Carolina Lorena,Aron I. Maciel,Péricles B. C. de Miranda,Ivan G. Costa,Ricardo B. C. Prudêncio +4 more
TL;DR: This paper presents and analyses measures devoted to estimate the complexity of the function that should fitted to the data in regression problems, and shows the suitability of the new measures to describe the regression datasets and their utility in the meta-learning tasks considered.
Journal ArticleDOI
Artificial Neural Network training using metaheuristics for medical data classification: An experimental study
TL;DR: In this article , the performance of different metaheuristics as learning algorithms to train the ANN for medical data classification tasks was investigated on 15 well-known medical datasets and the results with analysis establish that the Equilibrium Optimizer algorithm outperforms all the other algorithms included in the comparative study.
Journal ArticleDOI
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters
Péricles B. C. de Miranda,Péricles B. C. de Miranda,Ricardo B. C. Prudêncio,André Ponce de Leon F. de Carvalho,Carlos Soares +4 more
TL;DR: A hybrid multi- objective architecture which combines meta-learning (ML) with multi-objective particle swarm optimization algorithms for the SVM parameter selection problem is proposed, which would converge faster and be less expensive.
Proceedings ArticleDOI
Towards automatic cross-language classification of cognitive presence in online discussions
Gian Barbosa,Raissa Camelo,Anderson Pinheiro Cavalcanti,Péricles B. C. de Miranda,Rafael Ferreira Mello,Vitomir Kovanović,Dragan Gašević +6 more
TL;DR: The findings suggest that certain aspects of cognitive presence construct are highly generalizable and transfer across different languages.