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Péricles B. C. de Miranda
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- affiliation: Universidade Federal Rural de Pernambuco, Recife, Brazil
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2020 – today
- 2024
- [j18]Tapas Si, Péricles B. C. de Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik, Hong Qin:
Opposition-Based Chaotic Tunicate Swarm Algorithms for Global Optimization. IEEE Access 12: 18168-18188 (2024) - [j17]Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp:
Automated CNN optimization using multi-objective grammatical evolution. Appl. Soft Comput. 151: 111124 (2024) - [j16]Tiago Barbosa de Lima, Vitor Rolim, André C. A. Nascimento, Péricles B. C. de Miranda, Valmir Macario, Luiz A. L. Rodrigues, Elyda L. S. X. Freitas, Dragan Gasevic, Rafael Ferreira Mello:
Towards explainable automatic punctuation restoration for Portuguese using transformers. Expert Syst. Appl. 257: 125097 (2024) - [c46]Ruan Carvalho, Lucas Fernandes Lins, Luiz A. L. Rodrigues, Péricles B. C. de Miranda, Hilário Oliveira, Thiago Damasceno Cordeiro, Ig Ibert Bittencourt, Seiji Isotani, Rafael Ferreira Mello:
Exploring NLP and Embedding for Automatic Essay Scoring in the Portuguese. AIED Companion (1) 2024: 228-233 - [c45]Lucas Galhardi, Maria Fernanda Herculano, Luiz A. L. Rodrigues, Péricles B. C. de Miranda, Hilário Oliveira, Thiago Damasceno Cordeiro, Ig Ibert Bittencourt, Seiji Isotani, Rafael Ferreira Mello:
Contextual Features for Automatic Essay Scoring in Portuguese. AIED Companion (1) 2024: 270-282 - [c44]Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. de Miranda, Ferrante Neri:
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. CEC 2024: 1-8 - [c43]Péricles B. C. de Miranda, Jesús Giráldez-Cru, Moésio W. Silva-Filho, Carmen Zarco, Oscar Cordón:
Learning Agents' Behavioral Patterns in Agent-Based Modeling by Means of Evolutionary Algorithms. CEC 2024: 1-8 - [c42]Camila Ascendina, Paulo Salgado Gomes de Mattos Neto, João Fausto Lorenzato de Oliveira, Péricles B. C. de Miranda:
An Evolutionary Approach to Forecasting Models Hybridization. ICMLC 2024: 134-139 - [c41]Péricles B. C. de Miranda, Leonardo Monte, André C. A. Nascimento, Márcio P. Basgalupp, José Leovigildo Coelho:
Machine Learning and IoT for Predicting the Productivity of MRI Equipment. IJCNN 2024: 1-8 - 2023
- [j15]Tapas Si, Debolina Bhattacharya, Somen Nayak, Péricles B. C. de Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik, Hong Qin:
PCOBL: A Novel Opposition-Based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems. IEEE Access 11: 46413-46440 (2023) - [j14]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:
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 212: 118670 (2023) - [j13]Jorge Candeias, Danilo R. B. Araujo, Péricles B. C. de Miranda, Carmelo J. A. Bastos Filho:
Memetic evolutionary algorithms to design optical networks with a local search that improves diversity. Expert Syst. Appl. 232: 120805 (2023) - [c40]Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André Câmara, Amerson Riley Cabral Chagas, Ana Paula C. Furtado:
Federated Learning and Mel-Spectrograms for Physical Violence Detection in Audio. BRACIS (3) 2023: 379-393 - [c39]Alexandre Alves, Péricles B. C. de Miranda, Rafael Fe Mello, André C. A. Nascimento:
Automatic Simplification of Legal Texts in Portuguese Using Machine Learning. JURIX 2023: 281-286 - [c38]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:
Towards explainable prediction of essay cohesion in Portuguese and English. LAK 2023: 509-519 - 2022
- [j12]Tapas Si, Jayri Bagchi, Péricles B. C. de Miranda:
Artificial Neural Network training using metaheuristics for medical data classification: An experimental study. Expert Syst. Appl. 193: 116423 (2022) - [j11]Tapas Si, Péricles B. C. de Miranda, Debolina Bhattacharya:
Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems. Expert Syst. Appl. 207: 117961 (2022) - [c37]Moésio Wenceslau da Silva Filho, Gabriel A. Barbosa, Péricles B. C. de Miranda:
Learning Global Optimization by Deep Reinforcement Learning. BRACIS (2) 2022: 417-433 - [c36]Tiago Barbosa de Lima, Péricles B. C. de Miranda, Rafael Ferreira Mello, Moésio Wenceslau, Ig Ibert Bittencourt, Thiago Damasceno Cordeiro, Jário José:
Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts. BRACIS (2) 2022: 616-630 - [c35]Péricles B. C. de Miranda, Rafael Ferreira Mello, André C. A. Nascimento, Tapas Si:
Multi-Objective Optimization of Sampling Algorithms Pipeline for Unbalanced Problems. CEC 2022: 1-8 - [c34]Péricles B. C. de Miranda, Vitor Casadei, Emely Pujólli da Silva, Jayne Silva, Manoel Alves, Marianna Severo, João Paulo Freitas:
TSPNet-HF: A Hand/Face TSPNet Method for Sign Language Translation. IBERAMIA 2022: 305-316 - [c33]Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado:
Federated Learning for Physical Violence Detection in Videos. IJCNN 2022: 1-8 - [c32]Steffano Pereira, Péricles B. C. de Miranda, Thiago França, Carmelo J. A. Bastos Filho, Tapas Si:
A Many-Objective Optimization Approach to Generate Synthetic Datasets based on Real-World Classification Problems. LA-CCI 2022: 1-6 - [c31]Rafael Ferreira Mello, Giuseppe Fiorentino, Hilário Oliveira, Péricles B. C. de Miranda, Mladen Rakovic, Dragan Gasevic:
Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in Portuguese. LAK 2022: 404-414 - 2021
- [j10]Tapas Si, Péricles B. C. de Miranda, João Victor Galdino, André C. A. Nascimento:
Grammar-based automatic programming for medical data classification: an experimental study. Artif. Intell. Rev. 54(6): 4097-4135 (2021) - [j9]Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio:
ImageDataset2Vec: An image dataset embedding for algorithm selection. Expert Syst. Appl. 180: 115053 (2021) - [c30]Rafael Ferreira Mello, Giuseppe Fiorentino, Péricles B. C. de Miranda, Hilário Oliveira, Mladen Rakovic, Dragan Gasevic:
Towards Automatic Content Analysis of Rhetorical Structure in Brazilian College Entrance Essays. AIED (2) 2021: 162-167 - [c29]Giuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula C. Furtado, Henrik Bellhäuser, Dragan Gasevic, Rafael Ferreira Mello:
Contrasting Automatic and Manual Group Formation: A Case Study in a Software Engineering Postgraduate Course. AIED (2) 2021: 168-172 - [c28]Tiago Barbosa de Lima, André C. A. Nascimento, George Valença, Péricles B. C. de Miranda, Rafael Ferreira Mello, Tapas Si:
Portuguese Neural Text Simplification Using Machine Translation. BRACIS (2) 2021: 542-556 - [c27]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:
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC 2021: 2187-2194 - [c26]João P. C. Uchoa, Taciana Pontual Falcão, André C. A. Nascimento, Péricles B. C. de Miranda, Rafael Ferreira Mello:
Fostering Autonomy through Augmentative and Alternative Communication. ICALT 2021: 320-324 - [c25]Giuseppe Fiorentino, Péricles B. C. de Miranda, André C. A. Nascimento, Ana Paula Cavalcanti Cavalcanti Furtado, Rafael Ferreira Mello:
Applying Group Formation in Practice on a Brazilian Postgraduate Course. LALA 2021: 29-38 - [c24]Rafael Santana, Saulo Ferreira, Vitor Rolim, Péricles B. C. de Miranda, André C. A. Nascimento, Rafael Ferreira Mello:
A Chatbot to Support Basic Students Questions. LALA 2021: 58-67 - [c23]Cleber A. C. F. da Silva, Péricles B. C. de Miranda, Filipe R. Cordeiro:
A New Grammar for Creating Convolutional Neural Networks Applied to Medical Image Classification. SIBGRAPI 2021: 97-104 - 2020
- [j8]Péricles B. C. de Miranda, Rafael Ferreira Mello, André C. A. Nascimento:
A multi-objective optimization approach for the group formation problem. Expert Syst. Appl. 162: 113828 (2020) - [j7]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
A novel context-free grammar for the generation of PSO algorithms. Nat. Comput. 19(3): 495-513 (2020) - [c22]Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento:
A Many-Objective optimization Approach for Complexity-based Data set Generation. CEC 2020: 1-8 - [c21]Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro:
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC 2020: 1-8 - [c20]Gian Barbosa, Raissa Camelo, Anderson Pinheiro Cavalcanti, Péricles B. C. de Miranda, Rafael Ferreira Mello, Vitomir Kovanovic, Dragan Gasevic:
Towards automatic cross-language classification of cognitive presence in online discussions. LAK 2020: 605-614
2010 – 2019
- 2019
- [j6]Péricles Barbosa C. de Miranda, Rafael Ferreira Mello, Mayara Castro, Giuseppe Fiorentino, Samuel Barbosa Jatobá De Souza, Lucas Santos, Lizandra Silva:
Uma Abordagem Multi-objetivo para Seleção de Caminhos de Aprendizagem para Grupo de Usuários. Revista Brasileira de Informática na Educ. 27(3): 336-350 (2019) - 2018
- [j5]Ana Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio:
Data complexity meta-features for regression problems. Mach. Learn. 107(1): 209-246 (2018) - [c19]Péricles B. C. de Miranda, Romero F. A. B. de Morais, Ricardo M. A. Silva:
Using a Many-Objective Optimization Algorithm to Select Sampling Approaches for Imbalanced Datasets. CEC 2018: 1-7 - 2017
- [j4]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming. Appl. Soft Comput. 60: 281-296 (2017) - [j3]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa:
H3AD: A hybrid hyper-heuristic for algorithm design. Inf. Sci. 414: 340-354 (2017) - [c18]Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva:
A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets. ESANN 2017 - 2016
- [c17]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms. BRACIS 2016: 25-30 - [c16]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms. BRACIS 2016: 295-300 - [c15]Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva:
A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets. BRACIS 2016: 385-390 - [c14]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:
Towards a taxonomy for security threats on the web ecosystem. NOMS 2016: 584-590 - 2015
- [j2]Rafael G. Mesquita, Ricardo M. A. Silva, Carlos A. B. Mello, Péricles B. C. de Miranda:
Parameter tuning for document image binarization using a racing algorithm. Expert Syst. Appl. 42(5): 2593-2603 (2015) - [c13]Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio:
I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem. ESANN 2015 - [c12]Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio:
GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution. GECCO 2015: 1087-1094 - 2014
- [j1]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares:
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters. Neurocomputing 143: 27-43 (2014) - [c11]Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio:
Fine-tuning of support vector machine parameters using racing algorithms. ESANN 2014 - 2013
- [c10]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio:
Active testing for SVM parameter selection. IJCNN 2013: 1-8 - 2012
- [c9]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection. ICCSA (3) 2012: 562-575 - [c8]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Multi-objective optimization and Meta-learning for SVM parameter selection. IJCNN 2012: 1-8 - [c7]Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares:
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis. SBRN 2012: 1-6 - [c6]Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares:
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection. SMC 2012: 2909-2914 - 2011
- [c5]Luciano S. de Souza, Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros:
A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort. ICTAI 2011: 245-252 - [c4]Carmelo J. A. Bastos Filho, Péricles B. C. de Miranda:
Multi-Objective Particle Swarm Optimization using speciation. SWIS 2011: 164-169
2000 – 2009
- 2009
- [c3]Carmelo J. A. Bastos Filho, Danilo Ferreira de Carvalho, Elliackin M. N. Figueiredo, Péricles B. C. de Miranda:
Dynamic Clan Particle Swarm Optimization. ISDA 2009: 249-254 - 2008
- [c2]Carmelo J. A. Bastos Filho, Marcel P. Caraciolo, Péricles B. C. de Miranda, Danilo Ferreira de Carvalho:
Multi-Ring Dispersed Particle Swarm Optimization. HIS 2008: 25-30 - [c1]Carmelo J. A. Bastos Filho, Marcel P. Caraciolo, Péricles B. C. de Miranda, Danilo Ferreira de Carvalho:
Multi-ring Particle Swarm Optimization. SBRN 2008: 111-116
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: Ricardo Bastos Cavalcante Prudêncio
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last updated on 2024-10-24 21:30 CEST by the dblp team
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