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Rodrigo G. F. Soares
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2020 – today
- 2023
- [j4]Rodrigo G. F. Soares
, Leandro L. Minku
OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6029-6041 (2023) - 2020
- [c11]Charles Nicollas C. Freitas, Roberta M. M. Gouveia, Rodrigo G. F. Soares:
Métodos de Machine Learning Aplicados no Cenário da Educaçáo a Distância Brasileira (Machine Learning Techniques Applied to the Brazilian Distance Education). SIIE 2020
2010 – 2019
- 2018
- [j3]Rodrigo G. F. Soares
Efficient Cluster-Based Boosting for Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5667-5680 (2018) - [c10]Rodrigo G. F. Soares:
Effort Estimation via Text Classification And Autoencoders. IJCNN 2018: 1-8 - 2017
- [j2]Rodrigo G. F. Soares, Huanhuan Chen
A Cluster-Based Semisupervised Ensemble for Multiclass Classification. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 408-420 (2017) - 2016
- [c9]Rodrigo G. F. Soares, Emeson J. S. Pereira:
On the performance of pairings of activation and loss functions in neural networks. IJCNN 2016: 326-333 - 2012
- [j1]Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao
Semisupervised Classification With Cluster Regularization. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1779-1792 (2012)
2000 – 2009
- 2009
- [c8]Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) 2009: 131-140 - 2008
- [c7]Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana
Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. IJCNN 2008: 1480-1487 - [c6]Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho
Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN 2008: 1938-1944 - [c5]Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
An evolutionary approach for the clustering data problem. IJCNN 2008: 1945-1950 - [c4]Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa
Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798 - [c3]Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735 - 2006
- [c2]Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Using Accuracy and Diversity to Select Classifiers to Build Ensembles. IJCNN 2006: 1310-1316 - [c1]Alixandre Santana
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity. SBRN 2006: 36-41
Coauthor Index
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