Péricles B. C. de Miranda

发表

Active testing for SVM parameter selection

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Dynamic Clan Particle Swarm Optimization

Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho, Elliackin M. N. Figueiredo, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets

Péricles B. C. de Miranda, Ricardo Martins, Romero F. A. B. de Morais, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

A multi-objective optimization approach for the group formation problem

Péricles B. C. de Miranda, André C. A. Nascimento, Rafael Ferreira Mello, 2020, Expert Syst. Appl..

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, 2012 Brazilian Symposium on Neural Networks.

Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, P. Miranda, 2017, Appl. Soft Comput..

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

Péricles B. C. de Miranda, Ricardo Martins, Romero F. A. B. de Morais, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Parameter tuning for document image binarization using a racing algorithm

Carlos A. B. Mello, Péricles B. C. de Miranda, Ricardo Martins, 2015, Expert Syst. Appl..

H3AD: A hybrid hyper-heuristic for algorithm design

Gisele L. Pappa, Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, 2017, Inf. Sci..

Multi-ring Particle Swarm Optimization

Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho, Danilo Ferreira de Carvalho, 2008, 2008 10th Brazilian Symposium on Neural Networks.

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, ICCSA.

Fine-tuning of support vector machine parameters using racing algorithms

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, 2014, ESANN.

Data complexity meta-features for regression problems

Ana Carolina Lorena, Ivan G. Costa, Ricardo B. C. Prudêncio, 2017, Machine Learning.

I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, 2015, ESANN.

Multi-Ring Dispersed Particle Swarm Optimization

Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho, Danilo Ferreira de Carvalho, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Multi-Objective Particle Swarm Optimization using speciation

Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho, 2011, 2011 IEEE Symposium on Swarm Intelligence.

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, P. Miranda, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Towards a taxonomy for security threats on the web ecosystem

Kellyton dos Santos Brito, Rodrigo Elia Assad, Péricles B. C. de Miranda, 2016, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium.

Multi-objective optimization and Meta-learning for SVM parameter selection

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2014, Neurocomputing.

A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort

Ricardo B. C. Prudêncio, Péricles B. C. de Miranda, Flávia de Almeida Barros, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets

Péricles B. C. de Miranda, Ricardo Martins, Romero F. A. B. de Morais, 2017, ESANN.

Grammar-based automatic programming for medical data classification: an experimental study

Péricles B. C. de Miranda, Tapas Si, André Nascimento, 2021, Artificial Intelligence Review.

Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays

Dragan Gasevic, Péricles B. C. de Miranda, Giuseppe Fiorentino, 2021, AIED.

Fostering Autonomy through Augmentative and Alternative Communication

Taciana Pontual Falcão, Péricles B. C. de Miranda, André C. A. Nascimento, 2021, 2021 International Conference on Advanced Learning Technologies (ICALT).

Portuguese Neural Text Simplification Using Machine Translation

George Valença, Péricles B. C. de Miranda, Tapas Si, 2021, BRACIS.

A Chatbot to Support Basic Students Questions

Péricles B. C. de Miranda, André C. A. Nascimento, Rafael Ferreira Mello, 2021, LALA.

Applying Group Formation in Practice on a Brazilian Postgraduate Course

Péricles B. C. de Miranda, Giuseppe Fiorentino, André C. A. Nascimento, 2021, LALA.

Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course

Dragan Gasevic, Péricles B. C. de Miranda, Giuseppe Fiorentino, 2021, AIED.