Ricardo Bastos Cavalcante Prudêncio

52 papers A 1B 10C 8Journal 11Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Novel applications of item response theory for analysing data set complexity and benchmark selection.
Mach. Learn.
João Luiz Junho Pereira, Alfredo Antonio Alencar Exposito de Queiroz, Telmo de Menezes e Silva Filho, Ana Carolina Lorena, Rafael Gomes Mantovani, Gisele Lobo Pappa, Ricardo Bastos Cavalcante Prudêncio
2024 B conf
Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines.
IJCNN
Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudêncio, Ana Carolina Lorena
2023 — conf
Machine Learning Techniques for Escaped Defect Analysis in Software Testing.
SAST
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
2019 J jnl
Empirical investigation of active learning strategies.
Neurocomputing
Davi Pereira dos Santos, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho
2018 — conf
Ensemble Methods for Label Noise Detection Under the Noisy at Random Model.
BRACIS
Kecia Gomes de Moura, Ricardo Bastos Cavalcante Prudêncio, George Darmiton da Cunha Cavalcanti
2018 — conf
Increasing Convolutional Neural Networks Training Speed by Incremental Complexity Learning.
BRACIS
Miguel Domingos de Santana Wanderley, Ricardo Bastos Cavalcante Prudêncio
2015 J jnl
A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection.
J. Braz. Comput. Soc.
Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia A. Barros
2015 A conf
GEFPSO: A Framework for PSO Optimization based on Grammatical Evolution.
GECCO
Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio
2014 — conf
Cost-Sensitive Measures of Algorithm Similarity for Meta-learning.
BRACIS
Carlos Eduardo Castor de Melo, Ricardo Bastos Cavalcante Prudêncio
2012 — conf
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.
ICCSA (3)
Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012 J jnl
Combining Uncertainty Sampling methods for supporting the generation of meta-examples.
Inf. Sci.
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2012 B conf
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.
SMC
Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012 J jnl
Combining meta-learning and search techniques to select parameters for support vector machines.
Neurocomputing
Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho
2012 B conf
Multi-objective optimization and Meta-learning for SVM parameter selection.
IJCNN
Péricles B. C. Miranda, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012 B conf
Time Series Based Link Prediction.
IJCNN
Paulo Ricardo da Silva Soares, Ricardo Bastos Cavalcante Prudêncio
2011 B conf
A Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort.
ICTAI
Luciano S. de Souza, Péricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros
2011 — conf
Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection.
HAIS (1)
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011 J jnl
Feature and algorithm selection with Hybrid Intelligent Techniques.
Int. J. Hybrid Intell. Syst.
Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin
2011 B conf
Good to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact.
ICTAI
Diana C. Cavalcanti, Ricardo Bastos Cavalcante Prudêncio, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon
2011 — ch.
Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.
Meta-Learning in Computational Intelligence
Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir
2011 B conf
Supervised link prediction in weighted networks.
IJCNN
Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudêncio
2011 — conf
Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning.
ICANN (2)
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2011 B conf
Uncertainty sampling methods for selecting datasets in active meta-learning.
IJCNN
Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, Teresa Bernarda Ludermir
2010 C conf
A Constrained Particle Swarm Optimization Approach for Test Case Selection.
SEKE
Luciano S. de Souza, Ricardo Bastos Cavalcante Prudêncio, Flávia de Almeida Barros
2010 — conf
Combining Meta-learning and Search Techniques to SVM Parameter Selection.
SBRN
Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André Carlos Ponce de Leon Ferreira de Carvalho
2010 — conf
Local Feature Selection for Generation of Ensembles in Text Clustering.
SBRN
Marcelo Nunes Ribeiro, Ricardo Bastos Cavalcante Prudêncio
2010 J jnl
Randomized constraint solvers: a comparative study.
Innov. Syst. Softw. Eng.
Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio
2009 — conf
A Comparative Study of Randomized Constraint Solvers for Random-Symbolic Testing.
NASA Formal Methods
Mitsuo Takaki, Diego Cavalcanti, Rohit Gheyi, Juliano Iyoda, Marcelo d'Amorim, Ricardo Bastos Cavalcante Prudêncio
2009 — conf
Active Generation of Training Examples in Meta-Regression.
ICANN (1)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2009 J jnl
Combining Text Classifiers and Hidden Markov Models for Information Extraction.
Int. J. Artif. Intell. Tools
Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento
2009 C conf
Combining Uncertainty Sampling Methods for Active Meta-Learning.
ISDA
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2009 — conf
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.
ICANN (2)
André C. A. Nascimento, Ricardo Bastos Cavalcante Prudêncio, Marcílio Carlos Pereira de Souto, Ivan G. Costa
2008 B conf
Active Meta-Learning with Uncertainty Sampling and Outlier Detection.
IJCNN
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008 — conf
Automatic Information Extraction in Semi-structured Official Journals.
SBRN
Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima
2008 C conf
Hidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts.
HIS
Flávia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudêncio, Valmir M. Filho, André C. A. Nascimento
2008 — conf
Local Feature Selection in Text Clustering.
ICONIP (2)
Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudêncio
2008 — conf
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.
ICANN (1)
Silvio B. Guerra, Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008 B conf
Ranking and selecting clustering algorithms using a meta-learning approach.
IJCNN
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
2008 — conf
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach.
SBRN
Patrícia M. Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
2008 J jnl
Selective generation of training examples in active meta-learning.
Int. J. Hybrid Intell. Syst.
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2008 — conf
Using Support Vector Machines to Predict the Performance of MLP Neural Networks.
SBRN
Ricardo Bastos Cavalcante Prudêncio, Silvio B. Guerra, Teresa Bernarda Ludermir
2007 — conf
Active Learning to Support the Generation of Meta-examples.
ICANN (1)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2007 C conf
Active Selection of Training Examples for Meta-Learning.
HIS
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2006 C conf
A Hybrid Machine Learning Approach for Information Extraction.
HIS
Eduardo F. A. Silva, Flávia A. Barros, Ricardo Bastos Cavalcante Prudêncio
2006 — conf
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts.
ICANN (1)
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2006 — conf
LearningWeights for Linear Combination of Forecasting Methods.
SBRN
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2004 J jnl
A Modal Symbolic Classifier for selecting time series models.
Pattern Recognit. Lett.
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2004 J jnl
Meta-learning approaches to selecting time series models.
Neurocomputing
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2004 C conf
Selection of Time Series Forecasting Models based on Performance Information.
HIS
Patrícia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio
2004 — conf
Using Machine Learning Techniques to Combine Forecasting Methods.
Australian Conference on Artificial Intelligence
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2003 C conf
Selecting and Ranking Time Series Models Using the NOEMON Approach.
ICANN
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir
2002 C conf
Selection of Models for Time Series Prediction via Meta-Learning.
HIS
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir