| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Combining Uncertainty Sampling methods for supporting the generation of meta-examples.  |
Inf. Sci.  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. Carvalho |
Combining meta-learning and search techniques to select parameters for support vector machines. |
Neurocomputing |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin |
Feature and algorithm selection with Hybrid Intelligent Techniques. |
Int. J. Hybrid Intell. Syst. |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir |
Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach. |
Meta-Learning in Computational Intelligence |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir |
Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. |
HAIS |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir |
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. |
ICANN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Luciano S. de Souza, Pericles 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Diana C. Cavalcanti, Ricardo Bastos Cavalcante Prudêncio, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon |
Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact. |
ICTAI |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir |
Uncertainty sampling methods for selecting datasets in active meta-learning. |
IJCNN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio |
Supervised link prediction in weighted networks. |
IJCNN |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio |
Randomized constraint solvers: a comparative study. |
ISSE |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros |
A Constrained Particle Swarm Optimization Approach for Test Case Selection. |
SEKE |
2010 |
DBLP BibTeX RDF |
|
| 1 | Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio |
Local Feature Selection for Generation of Ensembles in Text Clustering. |
SBRN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce Leon Ferreira de Carvalho |
Combining Meta-learning and Search Techniques to SVM Parameter Selection. |
SBRN |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento |
Combining Text Classifiers and Hidden Markov Models for Information Extraction. |
International Journal on Artificial Intelligence Tools |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa |
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Active Generation of Training Examples in Meta-Regression. |
ICANN |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Combining Uncertainty Sampling Methods for Active Meta-Learning. |
ISDA |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Selective generation of training examples in active meta-learning. |
Int. J. Hybrid Intell. Syst. |
2008 |
DBLP BibTeX RDF |
|
| 1 | Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento |
Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts. |
HIS |
2008 |
DBLP DOI BibTeX RDF |
Text Classifiers, Hidden Markov Models, Information Extraction |
| 1 | Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. |
ICANN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio |
Local Feature Selection in Text Clustering. |
ICONIP |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir |
Using Support Vector Machines to Predict the Performance of MLP Neural Networks. |
SBRN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima |
Automatic Information Extraction in Semi-structured Official Journals. |
SBRN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio |
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. |
SBRN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep |
Ranking and selecting clustering algorithms using a meta-learning approach. |
IJCNN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Active Meta-Learning with Uncertainty Sampling and Outlier Detection. |
IJCNN |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Active Selection of Training Examples for Meta-Learning. |
HIS |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Active Learning to Support the Generation of Meta-examples. |
ICANN |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio |
A Hybrid Machine Learning Approach for Information Extraction. |
HIS |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. |
ICANN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
LearningWeights for Linear Combination of Forecasting Methods. |
SBRN |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Meta-learning approaches to selecting time series models. |
Neurocomputing |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho |
A Modal Symbolic Classifier for selecting time series models. |
Pattern Recognition Letters |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Using Machine Learning Techniques to Combine Forecasting Methods. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio |
Selection of Time Series Forecasting Models based on Performance Information. |
HIS |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Selecting and Ranking Time Series Models Using the NOEMON Approach. |
ICANN |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir |
Selection of Models for Time Series Prediction via Meta-Learning. |
HIS |
2002 |
DBLP BibTeX RDF |
|
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