Data complexity meta-features for regression problems AC Lorena, AI Maciel, PBC de Miranda, IG Costa, RBC Prudêncio Machine Learning 107, 209-246, 2018 | 77 | 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 | 62 | 2011 |
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 | 54 | 2022 |
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 | 51 | 2014 |
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 | 47 | 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 | 38 | 2022 |
H3AD: A hybrid hyper-heuristic for algorithm design PBC Miranda, RBC Prudêncio, GL Pappa Information Sciences 414, 340-354, 2017 | 36 | 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 | 36 | 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 | 27 | 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 | 26 | 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 | 20 | 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 | 19 | 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 | 18 | 2008 |
A multi-objective optimization approach for the group formation problem PBC Miranda, RF Mello, ACA Nascimento Expert Systems with Applications 162, 113828, 2020 | 17 | 2020 |
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 | 17 | 2012 |
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 | 15 | 2017 |
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 | 15 | 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 | 15 | 2014 |
Towards automated content analysis of rhetorical structure of written essays using sequential content-independent features in Portuguese R Ferreira Mello, G Fiorentino, H Oliveira, P Miranda, M Rakovic, ... LAK22: 12th International Learning Analytics and Knowledge Conference, 404-414, 2022 | 14 | 2022 |
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 | 14 | 2018 |