Ricardo B. C. Prudêncio

According to our database, Ricardo B. C. Prudêncio authored at least 120 papers between 2002 and 2024.

Collaborative distances:

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

2024

Trusting My Predictions: On the Value of Instance-Level Analysis.

Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio

ACM Comput. Surv., July, 2024

Towards explainable evaluation: Explaining predicted performance using local performance regions.

Patrícia Drapal, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho

Appl. Soft Comput., 2024

Assessor Models for Explaining Instance Hardness in Classification Problems.

Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano

Proceedings of the International Joint Conference on Neural Networks, 2024

Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines.

Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudêncio, Ana Carolina Lorena

Proceedings of the International Joint Conference on Neural Networks, 2024

Meta-Learning and Novelty Detection for Machine Learning with Reject Option.

Patrícia Drapal, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

β⁴-IRT: A New β³-IRT with Enhanced Discrimination Estimation.

Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrasio A. Lima Neto, Ricardo B. C. Prudêncio

CoRR, 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

Assessor Models with a Reject Option for Soccer Result Prediction.

Daniel C. Da Costa, Ricardo B. C. Prudêncio, Alexandre Mota

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

A two-level Item Response Theory model to evaluate speech synthesis and recognition.

Chaina Santos Oliveira, João V. C. Moraes, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio

Speech Commun., 2022

Evaluating regression algorithms at the instance level using item response theory.

João V. C. Moraes, Jessica T. S. Reinaldo, Manuel Ferreira Junior, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio

Knowl. Based Syst., 2022

Label noise detection under the noise at random model with ensemble filters.

Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti

Intell. Data Anal., 2022

A Clustering-Based Method to Anomaly Detection in Thermal Power Plants.

Patrícia Drapal, Jullya Clemente, Dailys Maite Aliaga Reyes, Starch Melo de Souza, Anthony Lins, Ricardo B. C. Prudêncio

Proceedings of the International Joint Conference on Neural Networks, 2022

Item Response Theory to Evaluate Speech Synthesis: Beyond Synthetic Speech Difficulty.

Chaina Oliveira, Ricardo B. C. Prudêncio

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Predicting Compatibility of Cultivars in Grafting Processes Using Kernel Methods and Collaborative Filtering.

Thiago B. R. Silva, Nina I. Verslype, André C. A. Nascimento, Ricardo B. C. Prudêncio

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Explaining Learning Performance with Local Performance Regions and Maximally Relevant Meta-Rules.

Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

Explanation-by-Example Based on Item Response Theory.

Lucas Felipe Ferraro Cardoso, José de S. Ribeiro, Vitor Cirilo Araujo Santos, Raíssa Lorena Silva da Silva, Marcelle Pereira Mota, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

ImageDataset2Vec: An image dataset embedding for algorithm selection.

Lucas V. Dias, Péricles B. C. de Miranda, André C. A. Nascimento, Filipe R. Cordeiro, Rafael Ferreira Mello, Ricardo B. C. Prudêncio

Expert Syst. Appl., 2021

Meta-aprendizado para otimizacao de parametros de redes neurais.

Tarsicio Lucas, Teresa Bernarda Ludermir, Ricardo B. C. Prudêncio, Carlos Soares

CoRR, 2021

Data vs classifiers, who wins?

Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. Kawasaki Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves

CoRR, 2021

A Process for Building Domain Specific Thesauri for Query Expansion to Mine SW Documents Repositories within an Industrial Environment.

Mailton Carvalho, Flávia A. Barros, Ricardo B. C. Prudêncio

Proceedings of the 35th Brazilian Symposium on Software Engineering, 2021

2020

A novel context-free grammar for the generation of PSO algorithms.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Nat. Comput., 2020

One-Class Classification for Selecting Synthetic Datasets in Meta-Learning.

Regina R. Parente, Ricardo B. C. Prudêncio

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Item Response Theory for Evaluating Regression Algorithms.

João V. C. Moraes, Jessica T. S. Reinaldo, Ricardo B. C. Prudêncio, Telmo de Menezes e Silva Filho

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Item Response Theory to Estimate the Latent Ability of Speech Synthesizers.

Chaina Santos Oliveira, Caio C. A. Tenório, Ricardo B. C. Prudêncio

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Many-Objective optimization Approach for Complexity-based Data set Generation.

Thiago R. Fraça, Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Ana C. Lorenaz, André C. A. Nascimento

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Decoding Machine Learning Benchmarks.

Lucas Felipe Ferraro Cardoso, Vitor Cirilo Araujo Santos, Regiane S. K. Francês, Ricardo B. C. Prudêncio, Ronnie Cley de Oliveira Alves

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

Measuring Instance Hardness Using Data Complexity Measures.

José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Empirical investigation of active learning strategies.

Davi Pereira dos Santos, Ricardo Bastos Cavalcante Prudêncio, André Carlos Ponce de Leon Ferreira de Carvalho

Neurocomputing, 2019

CD-CARS: Cross-domain context-aware recommender systems.

Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz

Expert Syst. Appl., 2019

β³-IRT: A New Item Response Model and its Applications.

Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach

CoRR, 2019

Item response theory in AI: Analysing machine learning classifiers at the instance level.

Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo

Artif. Intell., 2019

Cost Sensitive Evaluation of Instance Hardness in Machine Learning.

Ricardo B. C. Prudêncio

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Multivariate Method for Group Profiling Using Subgroup Discovery.

Tarcísio Lucas, João Gomes, Renato Vimieiro, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

$β^3$-IRT: A New Item Response Model and its Applications.

Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe, Peter A. Flach

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Centrality-Based Group Profiling: A Comparative Study in Co-authorship Networks.

João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento

New Gener. Comput., 2018

Data complexity meta-features for regression problems.

Ana Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio

Mach. Learn., 2018

AVS: An approach to identifying and mitigating duplicate bug reports.

Ivan Santos, Joelson Araújo, Cloves Lima, Ricardo B. C. Prudêncio, Flávia A. Barros

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Transferring Knowledge From Texts to Images by Combining Deep Semantic Feature Descriptors.

Miguel D. de S. Wanderley, Ricardo B. C. Prudêncio

Proceedings of the 2018 International Joint Conference on Neural Networks, 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

Instance Selection and Class Balancing Techniques for Cross Project Defect Prediction.

Alysson Bispo, Ricardo B. C. Prudêncio, Douglas Veras da Silva

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

2017

H3AD: A hybrid hyper-heuristic for algorithm design.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, Gisele L. Pappa

Inf. Sci., 2017

Generation of Particle Swarm Optimization algorithms: An experimental study using Grammar-Guided Genetic Programming.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Appl. Soft Comput., 2017

Unsupervised Aspect Term Extraction in Online Drugs Reviews.

Diana C. Cavalcanti, Ricardo B. C. Prudêncio

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Aspect-Based Opinion Mining in Drug Reviews.

Diana C. Cavalcanti, Ricardo B. C. Prudêncio

Proceedings of the Progress in Artificial Intelligence, 2017

2016

A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data.

Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio

Neural Networks, 2016

Active learning and data manipulation techniques for generating training examples in meta-learning.

Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir, Carlos Soares

Neurocomputing, 2016

Progress in intelligent systems design.

Ricardo B. C. Prudêncio, Teresa Bernarda Ludermir

Neurocomputing, 2016

A multiple kernel learning algorithm for drug-target interaction prediction.

André C. A. Nascimento, Ricardo B. C. Prudêncio, Ivan G. Costa

BMC Bioinform., 2016

Reframing in context: A systematic approach for model reuse in machine learning.

José Hernández-Orallo, Adolfo Martínez Usó, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach, Chowdhury Farhan Ahmed, Nicolas Lachiche

AI Commun., 2016

Making Sense of Item Response Theory in Machine Learning.

Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez Usó, José Hernández-Orallo

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

A Novel Context-Free Grammar to Guide the Construction of Particle Swarm Optimization Algorithms.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Tree-Based Grammar Genetic Programming to Evolve Particle Swarm Algorithms.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

A Comparative Study of Group Profiling Techniques in Co-authorship Networks.

João Emanoel Ambrósio Gomes, Ricardo B. C. Prudêncio, André C. A. Nascimento

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection.

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

J. Braz. Comput. Soc., 2015

A literature review of recommender systems in the television domain.

Douglas Veras da Silva, Thiago Monteiro Prota, Alysson Bispo, Ricardo B. C. Prudêncio, Carlos Ferraz

Expert Syst. Appl., 2015

Versatile Decision Trees for Learning Over Multiple Contexts.

Reem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem.

Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Context-Aware Techniques for Cross-Domain Recommender Systems.

Douglas Veras da Silva, Ricardo B. C. Prudêncio, Carlos Ferraz, Alysson Bispo, Thiago Monteiro Prota

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Semi-supervised Multi-label k-Nearest Neighbors Classification Algorithms.

Danilo C. G. de Lucena, Ricardo B. C. Prudêncio

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares

Neurocomputing, 2014

A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria.

Andre R. S. Lopes, Ricardo B. C. Prudêncio, Byron L. D. Bezerra

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fine-tuning of support vector machine parameters using racing algorithms.

Péricles B. C. de Miranda, Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Similarity Measures of Algorithm Performance for Cost-Sensitive Scenarios.

Carlos Eduardo Castor de Melo, Ricardo B. C. Prudêncio

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

A comparison study of binary multi-objective Particle Swarm Optimization approaches for test case selection.

Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A Hybrid Binary Multi-objective Particle Swarm Optimization with Local Search for Test Case Selection.

Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 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

2013

Search based constrained test case selection using execution effort.

Luciano S. de Souza, Ricardo B. C. Prudêncio, Flávia de Almeida Barros, Eduardo Henrique da Silva Aranha

Expert Syst. Appl., 2013

Proximity measures for link prediction based on temporal events.

Paulo Ricardo da Silva Soares, Ricardo B. C. Prudêncio

Expert Syst. Appl., 2013

Group Profiling for Understanding Educational Social Networking.

João Gomes, Ricardo B. C. Prudêncio, Luciano Meira, Alexandre Azevedo Filho, André C. A. Nascimento, Hilário Oliveira

Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

Active selection of training instances for a random forest meta-learner.

Arthur F. M. Sousa, Ricardo B. C. Prudêncio, Carlos Soares, Teresa Bernarda Ludermir

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Active testing for SVM parameter selection.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Combining Uncertainty Sampling methods for supporting the generation of meta-examples.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Inf. Sci., 2012

Combining meta-learning and search techniques to select parameters for support vector machines.

Taciana A. F. Gomes, Ricardo Bastos Cavalcante Prudêncio, Carlos Soares, André L. D. Rossi, André C. P. L. F. de Carvalho

Neurocomputing, 2012

Leveraging relationships in social networks for sentiment analysis.

Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros

Proceedings of the Brazilian Symposium on Multimedia and the Web, 2012

Using link structure to infer opinions in social networks.

Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia de Almeida Barros

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

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis.

Péricles B. C. de Miranda, Ricardo B. C. Prudêncio, André C. P. L. F. de Carvalho, Carlos Soares

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 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

Collective Classification for Sentiment Analysis in Social Networks.

Juliano C. B. Rabelo, Ricardo B. C. Prudêncio, Flávia A. Barros

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 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

Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.

Ricardo Bastos Cavalcante Prudêncio, Marcilio C. P. de Souto, Teresa Bernarda Ludermir

Proceedings of the Meta-Learning in Computational Intelligence, 2011

Feature and algorithm selection with Hybrid Intelligent Techniques.

Teresa Bernarda Ludermir, Ricardo Bastos Cavalcante Prudêncio, Cleber Zanchettin

Int. J. Hybrid Intell. Syst., 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

Randomized constraint solvers: a comparative study.

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

Innov. Syst. Softw. Eng., 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

Combining Text Classifiers and Hidden Markov Models for Information Extraction.

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

Int. J. Artif. Intell. Tools, 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

Selective generation of training examples in active meta-learning.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Int. J. Hybrid Intell. Syst., 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

A Modal Symbolic Classifier for selecting time series models.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Pattern Recognit. Lett., 2004

Meta-learning approaches to selecting time series models.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir

Neurocomputing, 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