Péricles B. C. de Miranda

According to our database, Péricles B. C. de Miranda authored at least 57 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated CNN optimization using multi-objective grammatical evolution.

Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp

Appl. Soft Comput., January, 2024

Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization.

Tapas Si, Péricles B. C. de Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik, Hong Qin

IEEE Access, 2024

2023

Memetic evolutionary algorithms to design optical networks with a local search that improves diversity.

Jorge Candeias, Danilo R. B. Araujo, Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho

Expert Syst. Appl., December, 2023

A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks.

Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto

Expert Syst. Appl., 2023

PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems.

Tapas Si, Debolina Bhattacharya, Somen Nayak, Péricles B. C. de Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik, Hong Qin

IEEE Access, 2023

Towards explainable prediction of essay cohesion in Portuguese and English.

Hilário Oliveira, Rafael Ferreira Mello, Bruno Alexandre Barreiros Rosa, Mladen Rakovic, Péricles B. C. de Miranda, Thiago Damasceno Cordeiro, Seiji Isotani, Ig Ibert Bittencourt, Dragan Gasevic

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Automatic Simplification of Legal Texts in Portuguese Using Machine Learning.

Alexandre Alves, Péricles B. C. de Miranda, Rafael Fe Mello, André C. A. Nascimento

Proceedings of the Legal Knowledge and Information Systems, 2023

Federated Learning and Mel-Spectrograms for Physical Violence Detection in Audio.

Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André Câmara, Amerson Riley Cabral Chagas, Ana Paula C. Furtado

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems.

Tapas Si, Péricles B. C. de Miranda, Debolina Bhattacharya

Expert Syst. Appl., 2022

Artificial Neural Network training using metaheuristics for medical data classification: An experimental study.

Tapas Si, Jayri Bagchi, Péricles B. C. de Miranda

Expert Syst. Appl., 2022

Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in Portuguese.

Rafael Ferreira Mello, Giuseppe Fiorentino, Hilário Oliveira, Péricles B. C. de Miranda, Mladen Rakovic, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems.

Steffano Pereira, Péricles B. C. de Miranda, Thiago França, Carmelo J. A. Bastos Filho, Tapas Si

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Federated Learning for Physical Violence Detection in Videos.

Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado

Proceedings of the International Joint Conference on Neural Networks, 2022

TSPNet-HF: A Hand/Face TSPNet Method for Sign Language Translation.

Péricles B. C. de Miranda, Vitor Casadei, Emely Pujólli da Silva, Jayne Silva, Manoel Alves, Marianna Severo, João Paulo Freitas

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

Multi-Objective Optimization of Sampling Algorithms Pipeline for Unbalanced Problems.

Péricles B. C. de Miranda, Rafael Ferreira Mello, André C. A. Nascimento, Tapas Si

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts.

Tiago Barbosa de Lima, Péricles B. C. de Miranda, Rafael Ferreira Mello, Moésio Wenceslau, Ig Ibert Bittencourt, Thiago Damasceno Cordeiro, Jário José

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Learning Global Optimization by Deep Reinforcement Learning.

Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles B. C. de Miranda

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

ImageDataset2Vec: An image dataset embedding for algorithm selection.

Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio

Expert Syst. Appl., 2021

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

Tapas Si, Péricles B. C. de Miranda, João Victor Galdino, André C. A. Nascimento

Artif. Intell. Rev., 2021

A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification.

Cleber A. C. F. da Silva, Péricles B. C. de Miranda, Filipe R. Cordeiro

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

A Chatbot to Support Basic Students Questions.

Rafael Santana, Saulo Ferreira, Vitor Rolim, Péricles B. C. de Miranda, André C. A. Nascimento, Rafael Ferreira Mello

Proceedings of the IV Latin American Conference on Learning Analytics, 2021

Applying Group Formation in Practice on a Brazilian Postgraduate Course.

Giuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula Cavalcanti Cavalcanti Furtado, Rafael Ferreira Mello

Proceedings of the IV Latin American Conference on Learning Analytics, 2021

Fostering Autonomy through Augmentative and Alternative Communication.

João P. C. Uchoa, Taciana Pontual Falcão, André C. A. Nascimento, Péricles B. C. de Miranda, Rafael Ferreira Mello

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures.

Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Portuguese Neural Text Simplification Using Machine Translation.

Tiago Barbosa de Lima, André C. A. Nascimento, George Valença, Péricles B. C. de Miranda, Rafael Ferreira Mello, Tapas Si

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

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

Rafael Ferreira Mello, Giuseppe Fiorentino, Péricles B. C. de Miranda, Hilário Oliveira, Mladen Rakovic, Dragan Gasevic

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

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

Giuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado, Henrik Bellhäuser, Dragan Gasevic, Rafael Ferreira Mello

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

A novel context-free grammar for the generation of PSO algorithms.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Nat. Comput., 2020

A multi-objective optimization approach for the group formation problem.

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

Expert Syst. Appl., 2020

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 Kovanovic, Dragan Gasevic

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives.

Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Many-Objective optimization Approach for Complexity-based Data set Generation.

Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Uma Abordagem Multi-objetivo para Seleção de Caminhos de Aprendizagem para Grupo de Usuários.

Péricles Barbosa C. de Miranda, Rafael Ferreira Mello, Mayara Castro, Giuseppe Fiorentino, Samuel Barbosa Jatobá De Souza, Lucas Santos, Lizandra Silva

Revista Brasileira de Informática na Educ., 2019

2018

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

Mach. Learn., 2018

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

Péricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

H3AD: A hybrid hyper-heuristic for algorithm design.

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

Inf. Sci., 2017

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

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Appl. Soft Comput., 2017

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

Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Towards a taxonomy for security threats on the web ecosystem.

Carlo Marcelo Revoredo da Silva, Ricardo Batista Rodrigues, Ruy J. G. B. de Queiroz, Vinicius C. Garcia, José Silva, Daniel Gatti, Rodrigo Elia Assad, Leandro M. do Nascimento, Kellyton Brito, Péricles B. C. de Miranda

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

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

Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

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

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

Parameter tuning for document image binarization using a racing algorithm.

Rafael G. Mesquita, Ricardo M. A. Silva, Carlos A. B. Mello, Péricles B. C. de Miranda

Expert Syst. Appl., 2015

GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution.

Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

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

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

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

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

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares

Neurocomputing, 2014

Fine-tuning of support vector machine parameters using racing algorithms.

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

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Active testing for SVM parameter selection.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

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

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

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

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

2011

Multi-Objective Particle Swarm Optimization using speciation.

Carmelo J. A. Bastos Filho, Péricles B. C. de Miranda

Proceedings of the 2011 IEEE Symposium on Swarm Intelligence, 2011

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

Luciano S. de Souza, Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2009

Dynamic Clan Particle Swarm Optimization.

Carmelo J. A. Bastos Filho, Danilo Ferreira de Carvalho, Elliackin M. N. Figueiredo, Péricles B. C. de Miranda

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008

Multi-ring Particle Swarm Optimization.

Carmelo J. A. Bastos Filho, Marcel P. Caraciolo, Péricles B. C. de Miranda, Danilo Ferreira de Carvalho

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Multi-Ring Dispersed Particle Swarm Optimization.

Carmelo J. A. Bastos Filho, Marcel P. Caraciolo, Péricles B. C. de Miranda, Danilo Ferreira de Carvalho

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008