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Viewing Publication 1 - 49 from 49

2024

Automated CNN optimization using multi-objective grammatical evolutionCleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp. asc, 151:111124, January 2024. [doi]

Opposition-Based Chaotic Tunicate Swarm Algorithms for Global OptimizationTapas Si, Péricles B. C. de Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik, Hong Qin 0003. access, 12:18168-18188, 2024. [doi]

2023

Automatic Simplification of Legal Texts in Portuguese Using Machine LearningAlexandre Alves, Péricles B. C. de Miranda, Rafael Fe Mello, André C. A. Nascimento. jurix 2023: 281-286 [doi]

Memetic evolutionary algorithms to design optical networks with a local search that improves diversityJorge Candeias, Danilo R. B. Araujo, Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho. eswa, 232:120805, December 2023. [doi]

A novel multi-objective grammar-based framework for the generation of Convolutional Neural NetworksCleber 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. eswa, 212:118670, 2023. [doi]

Towards explainable prediction of essay cohesion in Portuguese and EnglishHilário 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. LAK 2023: 509-519 [doi]

PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization ProblemsTapas Si, Debolina Bhattacharya, Somen Nayak, Péricles B. C. de Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik, Hong Qin. access, 11:46413-46440, 2023. [doi]

Federated Learning and Mel-Spectrograms for Physical Violence Detection in AudioVictor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André Câmara, Amerson Riley Cabral Chagas, Ana Paula C. Furtado. bracis 2023: 379-393 [doi]

2022

Learning Global Optimization by Deep Reinforcement LearningMoésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles B. C. de Miranda. bracis 2022: 417-433 [doi]

Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese TextsTiago B. de Lima, Péricles B. C. de Miranda, Rafael Ferreira Mello, Moesio Wenceslau, Ig Ibert Bittencourt, Thiago Damasceno Cordeiro, Jário José. bracis 2022: 616-630 [doi]

TSPNet-HF: A Hand/Face TSPNet Method for Sign Language TranslationPéricles B. C. de Miranda, Vitor Casadei, Emely Pujólli da Silva, Jayne Silva, Manoel Alves, Marianna Severo, João Paulo Freitas. iberamia 2022: 305-316 [doi]

Multi-Objective Optimization of Sampling Algorithms Pipeline for Unbalanced ProblemsPéricles B. C. de Miranda, Rafael Ferreira Mello, André C. A. Nascimento, Tapas Si. cec 2022: 1-8 [doi]

Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in PortugueseRafael Ferreira Mello, Giuseppe Fiorentino, Hilário Oliveira, Péricles B. C. de Miranda, Mladen Rakovic, Dragan Gasevic. LAK 2022: 404-414 [doi]

A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification ProblemsSteffano Pereira, Péricles B. C. de Miranda, Thiago França, Carmelo J. A. Bastos Filho, Tapas Si. lacci 2022: 1-6 [doi]

Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problemsTapas Si, Péricles B. C. de Miranda, Debolina Bhattacharya. eswa, 207:117961, 2022. [doi]

Artificial Neural Network training using metaheuristics for medical data classification: An experimental studyTapas Si, Jayri Bagchi, Péricles B. C. de Miranda. eswa, 193:116423, 2022. [doi]

Federated Learning for Physical Violence Detection in VideosVictor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula Furtado. ijcnn 2022: 1-8 [doi]

2021

A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image ClassificationCleber A. C. F. da Silva, Péricles B. C. de Miranda, Filipe R. Cordeiro. sibgrapi 2021: 97-104 [doi]

A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network ArchitecturesCleber 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 Mello, Paulo S. G. de Mattos Neto. cec 2021: 2187-2194 [doi]

Portuguese Neural Text Simplification Using Machine TranslationTiago B. de Lima, André C. A. Nascimento, George Valença, Péricles B. C. de Miranda, Rafael Ferreira Mello, Tapas Si. bracis 2021: 542-556 [doi]

ImageDataset2Vec: An image dataset embedding for algorithm selectionLucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio. eswa, 180:115053, 2021. [doi]

Applying Group Formation in Practice on a Brazilian Postgraduate CourseGiuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula Cavalcanti Cavalcanti Furtado, Rafael Ferreira Mello. lala 2021: 29-38 [doi]

Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate CourseGiuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula Furtado, Henrik Bellhäuser, Dragan Gasevic, Rafael Ferreira Mello. aied 2021: 168-172 [doi]

Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance EssaysRafael Ferreira Mello, Giuseppe Fiorentino, Péricles B. C. de Miranda, Hilário Oliveira, Mladen Rakovic, Dragan Gasevic. aied 2021: 162-167 [doi]

A Chatbot to Support Basic Students QuestionsRafael Santana, Saulo Ferreira, Vitor Rolim, Péricles B. C. de Miranda, André C. A. Nascimento, Rafael Ferreira Mello. lala 2021: 58-67 [doi]

Grammar-based automatic programming for medical data classification: an experimental studyTapas Si, Péricles B. C. de Miranda, João Victor Galdino, André Nascimento. air, 54(6):4097-4135, 2021. [doi]

Fostering Autonomy through Augmentative and Alternative CommunicationJoão P. C. Uchoa, Taciana Pontual Falcão, André C. A. Nascimento, Péricles B. C. de Miranda, Rafael Ferreira Mello. icalt 2021: 320-324 [doi]

2020

2018

Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced DatasetsPéricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva. cec 2018: 1-7 [doi]

Data complexity meta-features for regression problemsAna Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio. ml, 107(1):209-246, 2018. [doi]

2017

H3AD: A hybrid hyper-heuristic for algorithm designPéricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa. isci, 414:340-354, 2017. [doi]

Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic ProgrammingPéricles B. C. de Miranda, Ricardo B. C. Prudêncio. asc, 60:281-296, 2017. [doi]

A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasetsRomero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva. esann 2017: [doi]

2016

A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization AlgorithmsPéricles B. C. de Miranda, Ricardo B. C. Prudêncio. bracis 2016: 295-300 [doi]

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm AlgorithmsPéricles B. C. de Miranda, Ricardo B. C. Prudêncio. bracis 2016: 25-30 [doi]

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data SetsRomero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva. bracis 2016: 385-390 [doi]

2015

I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection ProblemPéricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio. esann 2015: [doi]

2014

Fine-tuning of support vector machine parameters using racing algorithmsPéricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio. esann 2014: [doi]

A hybrid meta-learning architecture for multi-objective optimization of SVM parametersPéricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. Carvalho, Carlos Soares. ijon, 143:27-43, 2014. [doi]

2013

Active testing for SVM parameter selectionPéricles B. C. de Miranda, Ricardo B. C. Prudêncio. ijcnn 2013: 1-8 [doi]

2012

Multi-objective optimization and Meta-learning for SVM parameter selectionPéricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares. ijcnn 2012: 1-8 [doi]

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter SelectionPéricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares. iccsa 2012: 562-575 [doi]

Combining a multi-objective optimization approach with meta-learning for SVM parameter selectionPéricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce Leon Ferreira de Carvalho, Carlos Soares. SMC 2012: 2909-2914 [doi]

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental AnalysisPéricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. Carvalho, Carlos Soares. sbrn 2012: 1-6 [doi]

2011

A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution EffortLuciano S. de Souza, Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros. ictai 2011: 245-252 [doi]

Multi-Objective Particle Swarm Optimization using speciationCarmelo J. A. Bastos Filho, Péricles B. C. de Miranda. kit 2011: 164-169 [doi]

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