Péricles Barbosa Cunha de Miranda
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Data complexity meta-features for regression problems
AC Lorena, AI Maciel, PBC de Miranda, IG Costa, RBC Prudêncio
Machine Learning 107, 209-246, 2018
A multi-objective particle swarm optimization for test case selection based on functional requirements coverage and execution effort
LS de Souza, PBC de Miranda, RBC Prudencio, FA Barros
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters
PBC Miranda, RBC Prudêncio, APLF De Carvalho, C Soares
Neurocomputing 143, 27-43, 2014
Artificial neural network training using metaheuristics for medical data classification: an experimental study
T Si, J Bagchi, PBC Miranda
Expert Systems with Applications 193, 116423, 2022
Towards automatic cross-language classification of cognitive presence in online discussions
G Barbosa, R Camelo, AP Cavalcanti, P Miranda, RF Mello, V Kovanović, ...
Proceedings of the tenth international conference on learning analytics …, 2020
Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems
T Si, PBC Miranda, D Bhattacharya
Expert Systems with Applications 207, 117961, 2022
H3AD: A hybrid hyper-heuristic for algorithm design
PBC Miranda, RBC Prudêncio, GL Pappa
Information Sciences 414, 340-354, 2017
Parameter tuning for document image binarization using a racing algorithm
RG Mesquita, RMA Silva, CAB Mello, PBC Miranda
Expert Systems with Applications 42 (5), 2593-2603, 2015
Dynamic Clan Particle Swarm Optimization
CJA Bastos-Filho, DF Carvalho, EMN Figueiredo, PBC de Miranda
Intelligent Systems Design and Applications, 2009. ISDA'09. Ninth …, 2009
Combining a multi-objective optimization approach with meta-learning for svm parameter selection
PBC de Miranda, RBC Prudêncio, ACPLF de Carvalho, C Soares
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
Gefpso: A framework for pso optimization based on grammatical evolution
PB Miranda, RB Prudêncio
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
An experimental study of the combination of meta-learning with particle swarm algorithms for svm parameter selection
PBC De Miranda, RBC Prudêncio, ACPLF de Carvalho, C Soares
Computational Science and Its Applications–ICCSA 2012: 12th International …, 2012
Multi-ring particle swarm optimization
CJA Bastos-Filho, MP Caraciolo, PBC Miranda, DF Carvalho
2008 10th Brazilian Symposium on Neural Networks, 111-116, 2008
Multi-objective optimization and Meta-learning for SVM parameter selection
PBC Miranda, RBC Prudencio, ACPLF de Carvalho, C Soares
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
A multi-objective optimization approach for the group formation problem
PBC Miranda, RF Mello, ACA Nascimento
Expert Systems with Applications 162, 113828, 2020
Generation of particle swarm optimization algorithms: An experimental study using grammar-guided genetic programming
PBC Miranda, RBC Prudêncio
Applied Soft Computing 60, 281-296, 2017
A grammar-based genetic programming approach to optimize convolutional neural network architectures
JB Diniz, FR Cordeiro, PBC Miranda, LAT da Silva
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional, 82-93, 2018
A meta-learning method to select under-sampling algorithms for imbalanced data sets
RFAB de Morais, PBC Miranda, RMA Silva
2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 385-390, 2016
Fine-tuning of support vector machine parameters using racing algorithms
P Miranda, RM Silva, RB Prudêncio
Proceedings of the 22nd European symposium on artificial neural networks …, 2014
Active testing for SVM parameter selection
PBC Miranda, RBC Prudêncio
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
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