Ricardo Bastos Cavalcante Prudêncio

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 4

Top Topics

Convolutional Neural Networks

Hybrid Particle Swarm Optimization

Active Learning Strategies

Test Case Selection

Top Venues

J. Braz. Comput. Soc.

Publications

Lidia Perside Gomes Nascimento, Ricardo Bastos Cavalcante Prudêncio, Alexandre Cabral Mota, Audir de Araujo Paiva Filho, Pedro Henrique Alves Cruz, Daniel Cardoso Coelho Alves de Oliveira, Pedro Roncoli Sarmet Moreira
Machine Learning Techniques for Escaped Defect Analysis in Software Testing. SAST (2023)
Davi Pereira dos Santos, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho
Empirical investigation of active learning strategies. Neurocomputing (2019)
Kecia Gomes de Moura, Ricardo Bastos Cavalcante Prudêncio, George Darmiton da Cunha Cavalcanti
Ensemble Methods for Label Noise Detection Under the Noisy at Random Model. BRACIS (2018)
Miguel Domingos de Santana Wanderley, Ricardo Bastos Cavalcante Prudêncio
Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning. BRACIS (2018)
Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio
GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution. GECCO (2015)
Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia A. Barros
A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection. J. Braz. Comput. Soc. 21 (1) (2015)
Carlos Eduardo Castor de Melo, Ricardo Bastos Cavalcante Prudêncio
Cost-Sensitive Measures of Algorithm Similarity for Meta-learning. BRACIS (2014)
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)
Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho
Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75 (1) (2012)
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)
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)
Paulo Ricardo da Silva Soares, Ricardo Bastos Cavalcante Prudêncio
Time Series Based Link Prediction. IJCNN (2012)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Combining Uncertainty Sampling methods for supporting the generation of meta-examples. Inf. Sci. 196 (2012)
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning. ICANN (2) (2011)
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
Uncertainty sampling methods for selecting datasets in active meta-learning. IJCNN (2011)
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)
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection. HAIS (1) (2011)
Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin
Feature and algorithm selection with Hybrid Intelligent Techniques. Int. J. Hybrid Intell. Syst. 8 (3) (2011)
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)
Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio
Supervised link prediction in weighted networks. IJCNN (2011)
Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros
A Constrained Particle Swarm Optimization Approach for Test Case Selection. SEKE (2010)
Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio
Local Feature Selection for Generation of Ensembles in Text Clustering. SBRN (2010)
Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho
Combining Meta-learning and Search Techniques to SVM Parameter Selection. SBRN (2010)
Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio
Randomized constraint solvers: a comparative study. Innov. Syst. Softw. Eng. 6 (3) (2010)
Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio
A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing. NASA Formal Methods (2009)
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. Int. J. Artif. Intell. Tools 18 (2) (2009)
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 (2) (2009)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Active Generation of Training Examples in Meta-Regression. ICANN (1) (2009)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Combining Uncertainty Sampling Methods for Active Meta-Learning. ISDA (2009)
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)
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)
Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir
Using Support Vector Machines to Predict the Performance of MLP Neural Networks. SBRN (2008)
Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors. ICANN (1) (2008)
Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach. SBRN (2008)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Active Meta-Learning with Uncertainty Sampling and Outlier Detection. IJCNN (2008)
Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio
Local Feature Selection in Text Clustering. ICONIP (2) (2008)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Selective generation of training examples in active meta-learning. Int. J. Hybrid Intell. Syst. 5 (2) (2008)
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)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Active Selection of Training Examples for Meta-Learning. HIS (2007)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Active Learning to Support the Generation of Meta-examples. ICANN (1) (2007)
Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio
A Hybrid Machine Learning Approach for Information Extraction. HIS (2006)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
LearningWeights for Linear Combination of Forecasting Methods. SBRN (2006)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts. ICANN (1) (2006)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
A Modal Symbolic Classifier for selecting time series models. Pattern Recognit. Lett. 25 (8) (2004)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Meta-learning approaches to selecting time series models. Neurocomputing 61 (2004)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Using Machine Learning Techniques to Combine Forecasting Methods. Australian Conference on Artificial Intelligence (2004)
Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
Selection of Time Series Forecasting Models based on Performance Information. HIS (2004)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Selecting and Ranking Time Series Models Using the NOEMON Approach. ICANN (2003)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
Selection of Models for Time Series Prediction via Meta-Learning. HIS (2002)