Ricardo Bastos Cavalcante Prudêncio

According to our database, Ricardo Bastos Cavalcante Prudêncio authored at least 39 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Machine Learning Techniques for Escaped Defect Analysis in Software Testing.

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

Proceedings of the 8th Brazilian Symposium on Systematic and Automated Software Testing, 2023

2018

Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning.

Miguel Domingos de Santana Wanderley, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Ensemble Methods for Label Noise Detection Under the Noisy at Random Model.

Kecia Gomes de Moura, Ricardo Bastos Cavalcante Prudêncio, George Darmiton da Cunha Cavalcanti

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2015

GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution.

Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014

Cost-Sensitive Measures of Algorithm Similarity for Meta-learning.

Carlos Eduardo Castor de Melo, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2012

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Time Series Based Link Prediction.

Paulo Ricardo da Silva Soares, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-objective optimization and Meta-learning for SVM parameter selection.

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.

Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares

Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

2011

Supervised link prediction in weighted networks.

Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Uncertainty sampling methods for selecting datasets in active meta-learning.

Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort.

Luciano S. de Souza, Péricles B. C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact.

Diana C. Cavalcanti, Ricardo Bastos Cavalcante Prudêncio, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning.

Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection.

Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010

A Constrained Particle Swarm Optimization Approach for Test Case Selection.

Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

Local Feature Selection for Generation of Ensembles in Text Clustering.

Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Combining Meta-learning and Search Techniques to SVM Parameter Selection.

Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2009

A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing.

Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the First NASA Formal Methods Symposium, 2009

Combining Uncertainty Sampling Methods for Active Meta-Learning.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Active Generation of Training Examples in Meta-Regression.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks, 2009

Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.

André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa

Proceedings of the Artificial Neural Networks, 2009

2008

Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach.

Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Using Support Vector Machines to Predict the Performance of MLP Neural Networks.

Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Automatic Information Extraction in Semi-structured Official Journals.

Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Ranking and selecting clustering algorithms using a meta-learning approach.

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

Proceedings of the International Joint Conference on Neural Networks, 2008

Active Meta-Learning with Uncertainty Sampling and Outlier Detection.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the International Joint Conference on Neural Networks, 2008

Local Feature Selection in Text Clustering.

Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.

Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks, 2008

Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts.

Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Active Learning to Support the Generation of Meta-examples.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks, 2007

Active Selection of Training Examples for Meta-Learning.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

LearningWeights for Linear Combination of Forecasting Methods.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the SBRN 2006, 2006

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks, 2006

A Hybrid Machine Learning Approach for Information Extraction.

Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2004

Selection of Time Series Forecasting Models based on Performance Information.

Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio

Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Using Machine Learning Techniques to Combine Forecasting Methods.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Selecting and Ranking Time Series Models Using the NOEMON Approach.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Selection of Models for Time Series Prediction via Meta-Learning.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002