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Ricardo Bastos Cavalcante Prudncio

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

28

Venues

11

Active years

2002–2024

Best venue rank

B

Where they publish

Papers

28 indexed papers, newest first.

YearVenueTitleAuthors
2024IJCNNMeasuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines.Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudncio, Ana Carolina Lorena
2015GECCOGEFPSO: A Framework for PSO Optimization based on Grammatical Evolution.Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio
2012ICCSAAn Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012IJCNNMulti-objective optimization and Meta-learning for SVM parameter selection.Pricles B. C. Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2012IJCNNTime Series Based Link Prediction.Paulo Ricardo da Silva Soares, Ricardo Bastos Cavalcante Prudncio
2012SMCCombining a multi-objective optimization approach with meta-learning for SVM parameter selection.Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio, Andr Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares
2011HAISCombining Meta-learning and Active Selection of Datasetoids for Algorithm Selection.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011ICANNUncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011IJCNNUncertainty sampling methods for selecting datasets in active meta-learning.Ricardo Bastos Cavalcante Prudncio, Carlos Soares, Teresa Bernarda Ludermir
2011IJCNNSupervised link prediction in weighted networks.Hially Rodrigues de Sa, Ricardo Bastos Cavalcante Prudncio
2011ICTAIGood to be Bad? Distinguishing between Positive and Negative Citations in Scientific Impact.Diana C. Cavalcanti, Ricardo Bastos Cavalcante Prudncio, Shreyasee S. Pradhan, Jatin Shah, Ricardo Pietrobon
2011ICTAIA Multi-objective Particle Swarm Optimization for Test Case Selection Based on Functional Requirements Coverage and Execution Effort.Luciano S. de Souza, Pricles Barbosa C. de Miranda, Ricardo Bastos Cavalcante Prudncio, Flvia de Almeida Barros
2010SEKEA Constrained Particle Swarm Optimization Approach for Test Case Selection.Luciano S. de Souza, Ricardo Bastos Cavalcante Prudncio, Flvia de Almeida Barros
2009ICANNMining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.Andr C. A. Nascimento, Ricardo Bastos Cavalcante Prudncio, Marclio Carlos Pereira de Souto, Ivan G. Costa
2009ICANNActive Generation of Training Examples in Meta-Regression.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2009ISDACombining Uncertainty Sampling Methods for Active Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2008HISHidden Markov Models and Text Classifiers for Information Extraction on Semi-Structured Texts.Flvia A. Barros, Eduardo F. A. Silva, Ricardo Bastos Cavalcante Prudncio, Valmir M. Filho, Andr C. A. Nascimento
2008ICANNPredicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors.Silvio B. Guerra, Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2008ICONIPLocal Feature Selection in Text Clustering.Marcelo Nunes Ribeiro, Manoel J. R. Neto, Ricardo Bastos Cavalcante Prudncio
2008IJCNNActive Meta-Learning with Uncertainty Sampling and Outlier Detection.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2008IJCNNRanking and selecting clustering algorithms using a meta-learning approach.Marclio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep
2007HISActive Selection of Training Examples for Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2007ICANNActive Learning to Support the Generation of Meta-examples.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2006HISA Hybrid Machine Learning Approach for Information Extraction.Eduardo F. A. Silva, Flvia A. Barros, Ricardo Bastos Cavalcante Prudncio
2006ICANNA Machine Learning Approach to Define Weights for Linear Combination of Forecasts.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2004HISSelection of Time Series Forecasting Models based on Performance Information.Patrcia Maforte dos Santos, Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudncio
2003ICANNSelecting and Ranking Time Series Models Using the NOEMON Approach.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir
2002HISSelection of Models for Time Series Prediction via Meta-Learning.Ricardo Bastos Cavalcante Prudncio, Teresa Bernarda Ludermir