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Ricardo Bastos Cavalcante Prudencio

Dados pessoais

  • HS Health Sciences
  • LS Life Sciences
  • MU Multidisciplinary
  • PS Physical Sciences
  • SH Social Sciences & Humanities
# Nome Links Grande Área Área
1 André Carlos Ponce De Leon Ferreira De CARVALHO CpE Ciências Exatas e da Terra Ciência da Computação
2 Carlos André Guimarães FERRAZ Ciências Exatas e da Terra Ciência da Computação
3 Eduardo Henrique Da Silva ARANHA Ciências Exatas e da Terra Ciência da Computação
4 Flávia De Almeida BARROS Ciências Exatas e da Terra Ciência da Computação
5 Frederico Luiz Gonçalves De FREITAS Ciências Exatas e da Terra Ciência da Computação
6 Luciano Rogerio De Lemos MEIRA Ciências Exatas e da Terra Ciência da Computação
Figura 1. Número de publicações por ano e por tipo, considerando todas as publicações.
  1. Health Sciences General Medicine
    Vitório DOUGLAS; Albuquerque Hidelberg O; Souza ELLEN; Oliveira Adriano L I; Barros FLÁVIA et al. 2022. Análise do posicionamento dos usuários do twitter acerca da vacinação infantil contra a covid-19 no brasil. In: Brazilian workshop on social network analysis and mining. Brasil.
  2. Physical Sciences Energy Engineering and Power Technology
    Drapal PATRICIA; Clemente JULLYA; Maite Reyes DAILYS; De Souza Starch MELO; Lins ANTHONY et al. 2022. A clustering-based method to anomaly detection in thermal power plants. In: 2022 international joint conference on neural networks (ijcnn). Brasil.
  3. Physical Sciences Computer Science (miscellaneous)
    Renata F LINS; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO; Wallace N MELO. 2022. Automatic classification of bug reports for mobile devices: an industrial case study. In: Encontro nacional de inteligência artificial e computacional (eniac). Brasil.
  4. Physical Sciences Computer Science (miscellaneous)
    Carvalho MAILTON; Barros FLAVIA; Ricardo Bastos Cavalcante PRUDENCIO. 2021. A process for building domain specific thesauri for query expansion to mine sw documents repositories within an industrial environment. In: Sbes '21: brazilian symposium on software engineering. Brasil.
  5. Physical Sciences Artificial Intelligence
    Moraes Joao V C; Reinaldo Jessica T S; Ricardo Bastos Cavalcante PRUDENCIO; Silva Filho Telmo M. 2020. Item response theory for evaluating regression algorithms. In: 2020 international joint conference on neural networks (ijcnn). Brasil.
  6. Physical Sciences Computer Science (miscellaneous)
    Parente Regina R; Ricardo Bastos Cavalcante PRUDENCIO. 2020. One-class classification for selecting synthetic datasets in meta-learning. In: 2020 international joint conference on neural networks (ijcnn). Brasil.
  7. Physical Sciences Artificial Intelligence
    Fraca Thiago R; Miranda Pericles B C; Ricardo Bastos Cavalcante PRUDENCIO; Lorenaz Ana C; Nascimento Andre C A. 2020. A many-objective optimization approach for complexity-based data set generation. In: 2020 ieee congress on evolutionary computation (cec). Brasil.
  8. Physical Sciences Artificial Intelligence
    Lucas DIAS; Pericles MIRANDA; André Câmara Alves Do NASCIMENTO; Filipe CORDEIRO; Rafael MELLO et al. 2020. Extração de meta-características de conjuntos de dados de imagens para seleção de redes neurais convolucionais. In: Encontro nacional de inteligência artificial e computacional. Brasil.
  9. Physical Sciences Computer Science (miscellaneous)
    Thiago FRANÇA; Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; André Câmara Alves Do NASCIMENTO. 2020. Cbdgen: uma ferramenta de geração de dados sintéticos baseada na complexidade. In: Encontro nacional de inteligência artificial e computacional. Brasil.
  10. Life Sciences Neuroscience (miscellaneous)
    Chaina OLIVEIRA; Caio TENÓRIO; Ricardo Bastos Cavalcante PRUDENCIO. 2020. Item response theory to estimate the latent ability of speech synthesizers. In: European conference on artificial intelligence. Brasil.
  11. Physical Sciences Artificial Intelligence
    Lucas TARCISIO; Gomes JOAO; Vimieiro RENATO; Ricardo Bastos Cavalcante PRUDENCIO; Ludermir TERESA. 2019. A multivariate method for group profiling using subgroup discovery. In: 2019 8th brazilian conference on intelligent systems (bracis). Brasil.
  12. Social Sciences & Humanities Psychology (miscellaneous)
    Yu CHEN; Silva Filho Telmo M; Ricardo Bastos Cavalcante PRUDENCIO; Tom DIETHE; Peter FLACH. 2019. Β3-irt: a new item response model and its applications. In: The 22nd international conference on artificial intelligence and statistics. Brasil.
  13. Social Sciences & Humanities Education
    Castro MAYARA; Neto GIUSEPPE; Miranda PÉRICLES; Cordeiro FILIPE; Ricardo Bastos Cavalcante PRUDENCIO. 2019. Otimização multi-objetivo da sequência de camadas em arquiteturas de aprendizagem profunda. In: Encontro nacional de inteligência artificial e computacional. Brasil.
  14. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO. 2019. Cost sensitive evaluation of instance hardness in machine learning. In: Machine learning and knowledge discovery in databases. ecml pkdd 2019. Brasil.
  15. Physical Sciences Artificial Intelligence
    Miguel Wanderley D S; Ricardo Bastos Cavalcante PRUDENCIO. 2018. Transferring knowledge from texts to images by combining deep semantic feature descriptors. In: 2018 international joint conference on neural networks (ijcnn). Brasil.
  16. Physical Sciences Computer Science (miscellaneous)
    Gomes De Moura KECIA; Ricardo Bastos Cavalcante PRUDENCIO; Darmiton Da Cunha Cavalcanti GEORGE. 2018. Ensemble methods for label noise detection under the noisy at random model. In: 2018 7th brazilian conference on intelligent systems (bracis). Brasil.
  17. Physical Sciences Artificial Intelligence
    Bispo ALYSSON; Ricardo Bastos Cavalcante PRUDENCIO; Veras DOUGLAS. 2018. Instance selection and class balancing techniques for cross project defect prediction. In: 2018 7th brazilian conference on intelligent systems (bracis). Brasil.
  18. Health Sciences Psychiatry and Mental Health
    Wanderley Miguel Domingos De SANTANA; Ricardo Bastos Cavalcante PRUDENCIO. 2018. Increasing convolutional neural networks training speed by incremental complexity learning. In: 2018 7th brazilian conference on intelligent systems (bracis). Brasil.
  19. Physical Sciences Artificial Intelligence
    Regina Rosa PARENTE; Ricardo Bastos Cavalcante PRUDENCIO. 2018. Knowledge transfer for synthetic examples selection in meta-learning. In: Encontro nacional de inteligência artificial e computacional. Brasil.
  20. Physical Sciences Computer Science (miscellaneous)
    Gomes João E A; André Câmara Alves Do NASCIMENTO; Ricardo Bastos Cavalcante PRUDENCIO. 2018. Cur: group profiling with community-based users' representation. In: Encontro nacional de inteligência artificial e computacional. Brasil.
  21. Physical Sciences Computer Science (miscellaneous)
    Santos IVAN; Araújo JOELSON; Lima CLOVES; Ricardo Bastos Cavalcante PRUDENCIO; Barros FLÁVIA. 2018. Avs. In: The xiv brazilian symposium. Brasil.
  22. Social Sciences & Humanities Psychology (miscellaneous)
    Diana CAVALCANTI; Ricardo Bastos Cavalcante PRUDENCIO. 2017. Unsupervised aspect term extraction in online drugs reviews. In: 30th aaai international flairs conference. Brasil.
  23. Social Sciences & Humanities Psychology (miscellaneous)
    Fernando Mart Nez PLUMED; Ricardo Bastos Cavalcante PRUDENCIO; Adolfo Mart Nez USO; Jose Hernandez ORALLO. 2016. Making sense of item response theory in machine learning. In: European conference on artificial intelligence. Brasil.
  24. Physical Sciences Artificial Intelligence
    Miranda Pericles B C; Ricardo Bastos Cavalcante PRUDENCIO. 2016. Tree-based grammar genetic programming to evolve particle swarm algorithms. In: 2016 5th brazilian conference on intelligent systems (bracis). Brasil.
  25. Physical Sciences Computer Science (miscellaneous)
    Gomes Joao Emanoel AMBROSIO; Ricardo Bastos Cavalcante PRUDENCIO; Nascimento Andre C A. 2016. A comparative study of group profiling techniques in co-authorship networks. In: 2016 5th brazilian conference on intelligent systems (bracis). Brasil.
  26. Physical Sciences Computer Science (miscellaneous)
    Miranda Pericles B C; Ricardo Bastos Cavalcante PRUDENCIO. 2016. A novel context-free grammar to guide the construction of particle swarm optimization algorithms. In: 2016 5th brazilian conference on intelligent systems (bracis). Brasil.
  27. Physical Sciences Artificial Intelligence
    Lucena Danilo C G DE; Ricardo Bastos Cavalcante PRUDENCIO. 2016. Transferência de aprendizado em contextos semi-supervisionados. In: Symposium on knowledge discovery; mining and learning (kdmile). Brasil.
  28. Social Sciences & Humanities Education
    Miranda Péricles BARBOSA; Ricardo Bastos Cavalcante PRUDENCIO. 2015. Gefpso. In: The 2015. Brasil.
  29. Physical Sciences Artificial Intelligence
    Pericles MIRANDA; Ricardo SILVA; Ricardo Bastos Cavalcante PRUDENCIO. 2015. I/s-race: an iterative multi-objective racing algorithm for the svm parameter selection problem. In: European symposium on artificial neural networks. Brasil.
  30. Physical Sciences Computer Science (miscellaneous)
    Veras DOUGLAS; Ricardo Bastos Cavalcante PRUDENCIO; Ferraz CARLOS; Bispo ALYSSON; Prota THIAGO. 2015. Context-aware techniques for cross-domain recommender systems. In: 2015 brazilian conference on intelligent systems (bracis). Brasil.
  31. Physical Sciences Artificial Intelligence
    Lucena Danilo C G DE; Ricardo Bastos Cavalcante PRUDENCIO. 2015. Semi-supervised multi-label k-nearest neighbors classification algorithms. In: 2015 brazilian conference on intelligent systems (bracis). Brasil.
  32. Physical Sciences Artificial Intelligence
    Pericles MIRANDA; Ricardo SILVA; Ricardo Bastos Cavalcante PRUDENCIO. 2014. Fine-tuning of support vector machine parameters using racing algorithms. In: European symposium on artificial neural networks. Brasil.
  33. Physical Sciences Artificial Intelligence
    De Souza Luciano S; Ricardo Bastos Cavalcante PRUDENCIO; Barros Flavia De A. 2014. A comparison study of binary multi-objective particle swarm optimization approaches for test case selection. In: 2014 ieee congress on evolutionary computation (cec). Brasil.
  34. Physical Sciences Computer Science (miscellaneous)
    Lopes Andre R S; Ricardo Bastos Cavalcante PRUDENCIO; Bezerra Byron L D. 2014. A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria. In: 2014 international joint conference on neural networks (ijcnn). Brasil.
  35. Physical Sciences Artificial Intelligence
    Melo Carlos Eduardo Castor DE; Ricardo Bastos Cavalcante PRUDENCIO. 2014. Cost-sensitive measures of algorithm similarity for meta-learning. In: 2014 brazilian conference on intelligent systems (bracis). Brasil.
  36. Physical Sciences Computer Science (miscellaneous)
    Souza Luciano S DE; Ricardo Bastos Cavalcante PRUDENCIO; Barros Flavia De A. 2014. A hybrid binary multi-objective particle swarm optimization with local search for test case selection. In: 2014 brazilian conference on intelligent systems (bracis). Brasil.
  37. Physical Sciences Computer Science (miscellaneous)
    Miranda Pericles B C; Ricardo Bastos Cavalcante PRUDENCIO. 2013. Active testing for svm parameter selection. In: 2013 international joint conference on neural networks (ijcnn 2013 dallas). Brasil.
  38. Physical Sciences Artificial Intelligence
    Sousa Arthur F M; Ricardo Bastos Cavalcante PRUDENCIO; Soares CARLOS; Ludermir Teresa B. 2013. Active selection of training instances for a random forest meta-learner. In: 2013 international joint conference on neural networks (ijcnn 2013 dallas). Brasil.
  39. Physical Sciences Artificial Intelligence
    Rene GADELHA; Ricardo Bastos Cavalcante PRUDENCIO. 2013. User influence on twitter: prediction based on personality and content-based features. In: 16th portuguese conference on artificial intelligence. Brasil.
  40. Social Sciences & Humanities Education
    Joao GOMES; Ricardo Bastos Cavalcante PRUDENCIO; Luciano MEIRA; Alexandre Azevedo FILHO; André Câmara Alves Do NASCIMENTO et al. 2013. Group profiling for understanding educational social networking. In: Software engineering and knowledge engineering (seke 2013). Brasil.
  41. Physical Sciences Artificial Intelligence
    Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; André Carlos Ponce De Leon Ferreira De CARVALHO; Carlos SOARES. 2012. Multi-objective optimization and meta-learning for svm parameter selection. In: International joint conference on artificial neural networks. Brasil.
  42. Physical Sciences Mathematics (miscellaneous)
    Paulo Ricardo SOARES; Ricardo Bastos Cavalcante PRUDENCIO. 2012. Time series based link prediction. In: International joint conference on artificial neural networks. Brasil.
  43. Physical Sciences Computer Science (miscellaneous)
    Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; André Carlos Ponce De Leon Ferreira De CARVALHO; Carlos SOARES. 2012. An experimental study of the combination of meta-learning with particle swarm algorithms for svm parameter selection. In: International conference on computational science and its applications (iccsa 2012). Brasil.
  44. Physical Sciences Artificial Intelligence
    Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; André Carlos Ponce De Leon Ferreira De CARVALHO; Carlos SOARES. 2012. Combining meta-learning with multi-objective particle swarm algorithms for svm parameter selection: an experimental analysis. In: Brazilian symposium on neural network. Brasil.
  45. Physical Sciences Artificial Intelligence
    Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; André Carlos Ponce De Leon Ferreira De CARVALHO. 2012. Combining a multi-objective optimization approach with meta-learning for svm parameter selection (best paper award). In: Ieee conference on systems; man; and cybernetics (ieee smc 2012). Brasil.
  46. Physical Sciences Artificial Intelligence
    Juliano RABELO; Ricardo Bastos Cavalcante PRUDENCIO; Flávia De Almeida BARROS. 2012. Using link structure to infer sentiments in social networks. In: Ieee conference on systems; man; and cybernetics (ieee smc 2012). Brasil.
  47. Social Sciences & Humanities Education
    Juliano RABELO; Ricardo Bastos Cavalcante PRUDENCIO; Flávia De Almeida BARROS. 2012. Leveraging relationships in social networks for sentiment analysis. In: 18th brazilian symposium on multimedia and the web (webmedia 2012). Brasil.
  48. Physical Sciences Computer Science (miscellaneous)
    Rabelo JULIANO; Ricardo Bastos Cavalcante PRUDENCIO; Barros FLAVIA. 2012. Collective classification for sentiment analysis in social networks. In: 2012 ieee 24th international conference on tools with artificial intelligence (ictai). Brasil.
  49. Social Sciences & Humanities Psychology (miscellaneous)
    Diana CAVALCANTI; Ricardo Bastos Cavalcante PRUDENCIO; Shreyasee PRADHAN; Jatin SHAH; Ricardo PIETROBON. 2012. Análise de sentimento em citações científicas para definição de fatores de impacto positivo. In: Iv international workshop on web and text intelligence. Brasil.
  50. Physical Sciences Computer Science (miscellaneous)
    Analia CAVALCANTI; Juliano RABELO; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO. 2012. Um modelo híbrido ltm-icm para difusão de influência em redes sociais. In: Iv international workshop on web and text intelligence. Brasil.
  51. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; Teresa Bernarda LUDERMIR. 2011. Combining meta-learning and active selection of datasetoids for algorithm selection. In: Hybrid artificial intelligence systems (hais 2011). Polônia.
  52. Physical Sciences Computer Science (miscellaneous)
    Hially SÁ; Ricardo Bastos Cavalcante PRUDENCIO. 2011. Supervised link prediction in weighted networks. In: International joint conference on artificial neural networks (ijcnn 2011). Estados Unidos.
  53. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; Teresa Bernarda LUDERMIR. 2011. Uncertainty sampling methods to select datasets for active meta-learning. In: International joint conference on artificial neural networks (ijcnn 2011). Estados Unidos.
  54. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; Teresa Bernarda LUDERMIR. 2011. Uncertainty sampling-based active selection of datasetoids for meta-learning. In: International conference on artificial neural networks (icann 2011). Finlândia.
  55. Physical Sciences Artificial Intelligence
    Tarcísio LUCAS; Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES. 2011. Meta-aprendizado para otimização de parâmetros de redes neurais. In: Encontro nacional de inteligência artificial (enia 2011). Brasil.
  56. Physical Sciences Artificial Intelligence
    Luciano SOUZA; Pericles MIRANDA; Ricardo Bastos Cavalcante PRUDENCIO; Barros Flávia A. 2011. A multi-objective particle swarm optimization for test case selection based on functional requirements coverage and execution effort. In: International conference on tools with artificial intelligence. Brasil.
  57. Social Sciences & Humanities Psychology (miscellaneous)
    Diana CAVALCANTI; Shreyasee PRADHAN; Jatin SHAH; Ricardo Bastos Cavalcante PRUDENCIO; Ricardo PIETROBON. 2011. Good to be bad? distinguishing between positive and negative citations in scientific impact. In: International conference on tools with artificial intelligence. Brasil.
  58. Physical Sciences Artificial Intelligence
    Tarcísio LUCAS; Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR; Carlos SOARES. 2011. Meta-learning to optimize the number of hidden nodes of mlp networks trained by extreme learning machine algorithm. In: Congresso brasileiro de inteligência computacional. Brasil.
  59. Physical Sciences Computer Science (miscellaneous)
    Francisco Carlos MONTEIRO; Ricardo Bastos Cavalcante PRUDENCIO. 2011. Algoritmo subida da encosta para otimização de parâmetros de máquinas de vetores suporte. In: Congresso brasileiro de inteligência computacional. Brasil.
  60. Physical Sciences Artificial Intelligence
    Luciano SOUZA; Ricardo Bastos Cavalcante PRUDENCIO; Flávia De Almeida BARROS. 2010. A constrained particle swarm optimization approach for test case selection. In: 22nd international conference on software engineering and knowledge engineering. Estados Unidos.
  61. Physical Sciences Computer Science (miscellaneous)
    Taciana GOMES; Andre ROSSI; Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; André Carlos Ponce De Leon Ferreira De CARVALHO. 2010. Combining meta-learning and search techniques to svm parameter selection. In: Simposio brasileiro de redes neurais (sbrn). Brasil.
  62. Physical Sciences Computer Science (miscellaneous)
    Marcelo Nunes RIBEIRO; Ricardo Bastos Cavalcante PRUDENCIO. 2010. Local feature selection for generation of ensembles in text clustering. In: Simposio brasileiro de redes neurais (sbrn). Brasil.
  63. Physical Sciences Computer Science (miscellaneous)
    Hially SÁ; Ricardo Bastos Cavalcante PRUDENCIO. 2010. Supervised learning for link prediction in weighted networks. In: Iii workshop on text intelligence (wti). Brasil.
  64. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; Teresa Bernarda LUDERMIR. 2010. Active selection of datasetoids for meta-learning. In: 3rd planning to learn workshop (at ecai 2010). Brasil.
  65. Physical Sciences Artificial Intelligence
    Mitsuo TAKAKI; Diego CAVALCANTI; Rohit GREYI; Juliano IYODA; Marcelo DAMORIM et al. 2009. A comparative study of randomized constraint solvers for random symbolic testing. In: First nasa formal methods symposium (nfm 2009). Estados Unidos.
  66. Physical Sciences Computer Science (miscellaneous)
    Marcelo Nunes RIBEIRO; Manoel Ribeiro NETO; Ricardo Bastos Cavalcante PRUDENCIO. 2009. Seleção local de características em agrupamento hierárquico de documentos. In: Encontro nacional de inteligência artificial. Brasil.
  67. Physical Sciences Artificial Intelligence
    Joseane RODRIGUES; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO. 2009. B-boost: uma extensão do método de boosting para conjuntos de treinamento desbalanceados. In: Encontro nacional de inteligência artificial. Brasil.
  68. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2009. Active generation of training examples in meta-regression. In: International conference on artificial neural networks. Alemanha.
  69. Physical Sciences Artificial Intelligence
    André Câmara Alves Do NASCIMENTO; Ricardo Bastos Cavalcante PRUDENCIO; Marcílio Carlos Pereira De SOUTO; Ivan COSTA. 2009. Mining rules for the automatic selection process of clustering methods applied to cancer gene expression. In: International conference on artificial neural networks. Alemanha.
  70. Social Sciences & Humanities Education
    Leonardo LIMA; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO. 2009. Class-test: classificação automática de textos para auxiliar a criação de suítes de teste (to be published). In: Ii workshop on text intelligence. Brasil.
  71. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2009. Combining uncertainty sampling methods for active meta-learning. In: 9th international conference on intelligent systems design and applications. Itália.
  72. Physical Sciences Artificial Intelligence
    Marcílio Carlos Pereira De SOUTO; Ricardo Bastos Cavalcante PRUDENCIO; Rodrigo SOARES; Daniel ARAÚJO; Ivan COSTA et al. 2008. Ranking and selecting clustering algorithms using a meta-learning approach. In: International joint conference on neural networks. Hong Kong.
  73. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2008. Active meta-learning with uncertainty sampling and outlier detection. In: International joint conference on neural networks. Hong Kong.
  74. Physical Sciences Artificial Intelligence
    Silvio GUERRA; Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2008. Predicting the performance of learning algorithms using support vector machines as meta-regressors. In: International conference on artificial neural networks. República Tcheca.
  75. Physical Sciences Artificial Intelligence
    Patrícia Dos SANTOS; Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO. 2008. Selecting neural network forecasting models using the zoomed-ranking approach. In: Simpósio brasileiro de redes neurais (sbrn). Brasil.
  76. Physical Sciences Computer Science (miscellaneous)
    Silvio GUERRA; Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2008. Using support vector regressors to predict the performance of mlp neural networks. In: Simpósio brasileiro de redes neurais (sbrn). Brasil.
  77. Physical Sciences Artificial Intelligence
    Valmir Macário FILHO; Ricardo Bastos Cavalcante PRUDENCIO; Francisco De Assis Tenório De CARVALHO; Leandro TORRES; Laerte Rodrigues JÚNIOR et al. 2008. Automatic information extraction in semi-structured official journals. In: Simpósio brasileiro de redes neurais (sbrn). Brasil.
  78. Physical Sciences Artificial Intelligence
    Eduardo SILVA; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO; Valmir Macário FILHO; André NASCIMENTO. 2008. Hidden markov models and text classifiers for information extraction on semi-structured texts. In: 8th international conference on hybrid intelligent systems. Brasil.
  79. Physical Sciences Computer Science (miscellaneous)
    Marcelo Nunes RIBEIRO; Manoel Ribeiro NETO; Ricardo Bastos Cavalcante PRUDENCIO. 2008. Local feature selection in text clustering. In: International conference on neural information processing. Nova Zelândia.
  80. Physical Sciences Computer Science (miscellaneous)
    Marcelo Nunes RIBEIRO; Luciano CABRAL; Rinaldo LIMA; Guilherme REINALDO; Fred FREITAS et al. 2008. Docs-clustering: a system for hierarchical clustering and document labeling. In: Workshop on web and text inteligence (wti /sbia08). Brasil.
  81. Physical Sciences Artificial Intelligence
    Silvio GUERRA; Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2007. Meta-aprendizado de algoritmos de treinamento para redes multi-layer perceptron. In: Encontro nacional de inteligência artificial. Brasil.
  82. Social Sciences & Humanities Education
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2007. Aprendizagem ativa para seleção de exemplos em meta-aprendizado. In: Encontro nacional de inteligência artificial. Brasil.
  83. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2007. Active selection of training examples for meta-learning. In: International conference on hybrid intelligent systems. Alemanha.
  84. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2007. Active learning to support the generation of meta-examples. In: International conference on artificial neural networks. Portugal.
  85. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2006. Learning weights for linear combination of forecasting methods. In: Ninth brazilian symposium on neural networks. Brasil.
  86. Physical Sciences Computer Science (miscellaneous)
    Igor SAMPAIO; Geber RAMALHO; Vincent CORRUBLE; Ricardo Bastos Cavalcante PRUDENCIO. 2006. Acquiring the preferences of new users in recommender systems: the role of item controversy. In: Ecai 2006 workshop on recommender systems. Itália.
  87. Physical Sciences Artificial Intelligence
    Eduardo SILVA; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO. 2006. A hybrid machine learning approach for information extraction. In: 6th international conference on hybrid intelligent systems. Nova Zelândia.
  88. Physical Sciences Computer Science (miscellaneous)
    Francisco De Assis Tenório De CARVALHO; Ricardo Bastos Cavalcante PRUDENCIO; Marcílio Carlos Pereira De SOUTO; Ivan COSTA; Benjamin GEORGI et al. 2006. Meta-learning of clustering algorithms: analyzing gene expression time courses. In: 14th annual international conference on intelligent systems for molecular biology. Brasil.
  89. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2006. A machine learning approach to define weights for linear combination of forecasts. In: International conference on artificial neural networks (icann). Grécia.
  90. Social Sciences & Humanities Linguistics and Language
    Eduardo SILVA; Flávia De Almeida BARROS; Ricardo Bastos Cavalcante PRUDENCIO. 2005. Uma abordagem de aprendizagem híbrida para extração de informação em textos semi-estruturados. In: V encontro nacional de inteligência artificial (enia 2005). Brasil.
  91. Physical Sciences Computer Science (miscellaneous)
    Marcos CARDOSO; Flávia De Almeida BARROS; Marcos GALINDO; Ricardo Bastos Cavalcante PRUDENCIO; Mercedes OTERO. 2005. Clio: um sistema de gerenciamento de bibliotecas digitais para documentos históricos. In: 3o. simpósio internacional de bibliotecas digitais. Brasil.
  92. Physical Sciences Computer Science (miscellaneous)
    Patrícia Dos SANTOS; Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO. 2004. Seleção de modelos de previsão de séries temporais baseada em informações de performance. In: Simpósio brasileiro de redes neurais; sbrn 2004. Brasil.
  93. Physical Sciences Computer Science (miscellaneous)
    Patrícia Dos SANTOS; Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO. 2004. Selection of time series forecasting models based on performance information. In: Fourth international conference on hybrid intelligent systems (his 04). Japão.
  94. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2004. Using machine learning techniques to combine forecasting methods. In: Australian conference on artificial intelligence. Austrália.
  95. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2003. Neural network hybrid learning: genetic algorithms & levenberg-marquadt. In: 26th annual conference of the gesellschaft fuer klassifikation; gfkl 2002. Alemanha.
  96. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2003. Seleção de modelos de séries temporais utilizando meta-protótipos. In: Encontro nacional de inteligência artificial. Brasil.
  97. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2003. Selecting and ranking time series models using the noemon approach. In: Icann/iconip'03; 2003. Turquia.
  98. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2002. Selection of models for time series prediction via meta-learning. In: International conference on hybrid intelligent systems. Chile.
  99. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2001. Design of neural networks for time series prediction using case-initialized genetic algorithms. In: 8th international conference on neural information processing; iconip' 01. China.
  100. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2001. Evolutionary design of neural networks: aplication to river flow prediction. In: International conference on artificial inteligence and aplications; aia 2001. Espanha.
  101. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO. 1999. Descoberta de conhecimento em banco de dados usando redes neurais. In: Encontro nacional de inteligência artificial-enia99. Brasil.
  102. Physical Sciences Biomedical Engineering
    Renan Oliveira CUNHA; Ricardo Bastos Cavalcante PRUDENCIO; Ivan Romero TEIXEIRA; João Batista Furlan DUARTE; Marcelino Cavalcante PEQUENO. 1999. Utilização do método de redes neurais para estimação de parâmetros termofísicos em problemas de condução de calor. In: Xxii congresso nacional de matemática aplicada e computacional; cnmac. Brasil.
  103. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Ivan Romero TEIXEIRA. 1998. Redes neurais aplicadas a sistemas especialistas. In: 50a. reunião anual da sociedade brasileira para o progresso da ciência. Brasil.
  1. Physical Sciences Energy Engineering and Power Technology
    Santiago Hemir Da CUNHA; Cavalcanti José Carlos Da SILVA; Ricardo Bastos Cavalcante PRUDENCIO; Mohamed Mohamed A; Sarubbo Leonie ASFORA et al. 2023. A novel remaining useful estimation model to assist asset renewal decisions applied to the brazilian electric sector. Energies. 16, 2513-.
  2. Social Sciences & Humanities Language and Linguistics
    Lorena Ana C; Paiva Pedro Y A; Ricardo Bastos Cavalcante PRUDENCIO. 2023. Trusting my predictions: on the value of instance-level analysis. Acm computing surveys. -, --.
  3. Physical Sciences Computer Science (miscellaneous)
    Gomes De Moura KECIA; Ricardo Bastos Cavalcante PRUDENCIO; George Darmiton Da Cunha CAVALCANTI. 2022. Label noise detection under the noise at random model with ensemble filters. Intelligent data analysis. 26, 1119-1138.
  4. Physical Sciences Artificial Intelligence
    Moraes João V C; Reinaldo Jéssica T S; Ferreira Junior MANUEL; Filho Telmo SILVA; Ricardo Bastos Cavalcante PRUDENCIO. 2022. Evaluating regression algorithms at the instance level using item response theory. Knowledge-based systems. -, 108076-.
  5. Physical Sciences Computer Science (miscellaneous)
    Dias Lucas V; Miranda Péricles B C; Nascimento André C A; Cordeiro Filipe R; Mello Rafael FERREIRA et al. 2021. Imagedataset2vec: an image dataset embedding for algorithm selection. Expert systems with applications. 180, 115053-.
  6. Life Sciences Neuroscience (miscellaneous)
    Oliveira Chaina S; Moraes João V C; Filho Telmo SILVA; Ricardo Bastos Cavalcante PRUDENCIO. 2021. A two-level item response theory model to evaluate speech synthesis and recognition. Speech communication. 137, 19-34.
  7. Physical Sciences Artificial Intelligence
    Pereira Santos DAVI; Ricardo Bastos Cavalcante PRUDENCIO; De Carvalho André C P L F. 2019. Empirical investigation of active learning strategies. Neurocomputing. 326-327, 15-27.
  8. Physical Sciences Computer Science (miscellaneous)
    Véras DOUGLAS; Ricardo Bastos Cavalcante PRUDENCIO; Ferraz CARLOS. 2019. Cd-cars: cross-domain context-aware recommender systems. Expert systems with applications. 135, 388-409.
  9. Physical Sciences Artificial Intelligence
    Martínez Plumed FERNANDO; Ricardo Bastos Cavalcante PRUDENCIO; Martínez Usó ADOLFO; Hernández Orallo JOSÉ. 2019. Item response theory in ai: analysing machine learning classifiers at the instance level. Artificial intelligence. 271, 18-42.
  10. Physical Sciences Artificial Intelligence
    Lorena Ana C; Maciel Aron I; De Miranda Péricles B C; Costa Ivan G; Ricardo Bastos Cavalcante PRUDENCIO. 2018. Data complexity meta-features for regression problems. Machine learning. 107, 209-246.
  11. Physical Sciences Computer Science (miscellaneous)
    Miranda Péricles B C; Ricardo Bastos Cavalcante PRUDENCIO. 2018. A novel context-free grammar for the generation of pso algorithms. Natural computing. 19, 495-513.
  12. Physical Sciences Computer Science (miscellaneous)
    Miranda Péricles B C; Ricardo Bastos Cavalcante PRUDENCIO; Pappa Gisele L. 2017. H3ad: a hybrid hyper-heuristic for algorithm design. Information sciences. 414, 340-354.
  13. Physical Sciences Computer Science (miscellaneous)
    Miranda Péricles B C; Ricardo Bastos Cavalcante PRUDENCIO. 2017. Generation of particle swarm optimization algorithms: an experimental study using grammar-guided genetic programming. Applied soft computing. 40, 281-296.
  14. Physical Sciences Computer Science (miscellaneous)
    Gomes João E A; Ricardo Bastos Cavalcante PRUDENCIO; Nascimento André C A. 2017. Centrality-based group profiling: a comparative study in co-authorship networks. New generation computing. 39, 59-89.
  15. Physical Sciences Artificial Intelligence
    André Câmara Alves Do NASCIMENTO; Ricardo Bastos Cavalcante PRUDENCIO; Ivan COSTA. 2016. A multiple kernel learning algorithm for drug-target interaction prediction. Bmc bioinformatics. 17, 46-.
  16. Physical Sciences Computer Science (miscellaneous)
    Sousa Arthur F M; Ricardo Bastos Cavalcante PRUDENCIO; Ludermir Teresa B; Soares CARLOS. 2016. Active learning and data manipulation techniques for generating training examples in meta-learning. Neurocomputing (amsterdam). 194, 45-55.
  17. Physical Sciences Artificial Intelligence
    Silva Filho Telmo M; Souza Renata M C R; Ricardo Bastos Cavalcante PRUDENCIO. 2016. A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural networks. 80, 19-33.
  18. Physical Sciences Computer Science (miscellaneous)
    Hernández Orallo JOSÉ; Martínez Usó ADOLFO; Ricardo Bastos Cavalcante PRUDENCIO; Kull MEELIS; Flach PETER et al. 2016. Reframing in context: a systematic approach for model reuse in machine learning. Ai communications. 29, 551-566.
  19. Physical Sciences Artificial Intelligence
    De Souza Luciano SOARES; Ricardo Bastos Cavalcante PRUDENCIO; De Barros Flávia A. 2015. A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection. Journal of the brazilian computer society (impresso). 21, 19-.
  20. Physical Sciences Computer Science (miscellaneous)
    Véras DOUGLAS; Prota THIAGO; Bispo ALYSSON; Ricardo Bastos Cavalcante PRUDENCIO; Ferraz CARLOS. 2015. A literature review of recommender systems in the television domain. Expert systems with applications. 42, 9046-9076.
  21. Physical Sciences Artificial Intelligence
    Miranda Péricles B C; Ricardo Bastos Cavalcante PRUDENCIO; De Carvalho André P L F; Soares CARLOS. 2014. A hybrid meta-learning architecture for multi-objective optimization of svm parameters. Neurocomputing (amsterdam). 143, 27-43.
  22. Physical Sciences Computer Science (miscellaneous)
    Luciano SOUZA; Ricardo Bastos Cavalcante PRUDENCIO; Flávia De Almeida BARROS; Eduardo Henrique Da Silva ARANHA. 2013. Search based constrained test case selection using execution effort. Expert systems with applications. 40, 4887-4896.
  23. Physical Sciences Physics and Astronomy (miscellaneous)
    Soares Paulo R S; Ricardo Bastos Cavalcante PRUDENCIO. 2013. Proximity measures for link prediction based on temporal events. Expert systems with applications. 40, 6652-6660.
  24. Physical Sciences Artificial Intelligence
    Taciana GOMES; Andre ROSSI; Ricardo Bastos Cavalcante PRUDENCIO; Carlos SOARES; André Carlos Ponce De Leon Ferreira De CARVALHO. 2012. Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing (amsterdam). 75, 3-13.
  25. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2012. Combining uncertainty sampling methods for supporting the generation of meta-examples. Information sciences. 196, 1-14.
  26. Physical Sciences Artificial Intelligence
    Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO; Cléber ZANCHETIN. 2011. Feature and algorithm selection with hybrid intelligent techniques. International journal of hybrid intelligent systems. 8, 115-116.
  27. Life Sciences Neuroscience (miscellaneous)
    Takaki MITSUO; Cavalcanti DIEGO; Gheyi ROHIT; Iyoda JULIANO; D Amorim MARCELO et al. 2010. Randomized constraint solvers: a comparative study. Innovations in systems and software engineering (print). 6, 243-253.
  28. Physical Sciences Artificial Intelligence
    Barros Flávia A; Silva Eduardo F A; Ricardo Bastos Cavalcante PRUDENCIO; Filho Valmir M; Nascimento André C A. 2009. Combining text classifiers and hidden markov models for information extraction. International journal on artificial intelligence tools. 18, 311-329.
  29. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Teresa Bernarda LUDERMIR. 2008. Selective generation of training examples in active meta-learning. International journal of hybrid intelligent systems. 5, 59-70.
  30. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Ludermir T; Decarvalho F. 2004. A modal symbolic classifier for selecting time series models. Pattern recognition letters. 25, (8) 911-921.
  31. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO. 2004. Meta-learning approaches to selecting time series models. Neurocomputing (amsterdam). 61, 121-137.
  1. Physical Sciences Computer Science (miscellaneous)
    T B R SILVA; Nina VERSLYPE; André Câmara Alves Do NASCIMENTO; Ricardo Bastos Cavalcante PRUDENCIO. 2022. Predicting compatibility of cultivars in grafting processes using kernel methods and collaborative filtering. In: Intelligent systems. bracis 2022. lecture notes in computer scienc. Brasil.
  2. Physical Sciences Computer Science (miscellaneous)
    Ricardo Bastos Cavalcante PRUDENCIO; Silva Filho Telmo M. 2022. Explaining learning performance with local performance regions and maximally relevant meta-rules. In: Intelligent systems. bracis 2022. lecture notes in computer science. Brasil.
  3. Social Sciences & Humanities Psychology (miscellaneous)
    Cardoso Lucas F F; José RIBEIRO; Santos Vitor C A; Raissa SILVA; Marcelle MOTA et al. 2022. Explanation-by-example based on item response theory. In: Intelligent systems. bracis 2022. lecture notes in computer science. Brasil.
  4. Physical Sciences Mathematics (miscellaneous)
    Arruda José L M; Ricardo Bastos Cavalcante PRUDENCIO; Lorena Ana C. 2020. Measuring instance hardness using data complexity measures. In: Lecture notes in computer science. Brasil.
  5. Physical Sciences Artificial Intelligence
    Cardoso Lucas F F; Santos Vitor C A; Francês Regiane S KAWASAKI; Ricardo Bastos Cavalcante PRUDENCIO; Alves Ronnie C O. 2020. Decoding machine learning benchmarks. In: Lecture notes in computer science. Brasil.
  6. Physical Sciences Computer Science (miscellaneous)
    Nascimento André C A; Ricardo Bastos Cavalcante PRUDENCIO; Costa Ivan G. 2019. A drug-target network-based supervised machine learning repurposing method allowing the use of multiple heterogeneous information sources. In: Methods in molecular biology. Brasil.
  7. Life Sciences Biochemistry, Genetics and Molecular Biology (miscellaneous)
    Cavalcanti DIANA; Ricardo Bastos Cavalcante PRUDENCIO. 2017. Aspect-based opinion mining in drug reviews. In: Lecture notes in computer science. Brasil.
  8. Physical Sciences Artificial Intelligence
    Al Otaibi REEM; Ricardo Bastos Cavalcante PRUDENCIO; Kull MEELIS; Flach PETER. 2015. Versatile decision trees for learning over multiple contexts. In: Lecture notes in computer science. Brasil.
  9. Physical Sciences Computer Science (miscellaneous)
    Bruno SOUZA; Ricardo Bastos Cavalcante PRUDENCIO; André Carlos Ponce De Leon Ferreira De CARVALHO. 2011. Meta-aprendizado para recomendação de algoritmos. In: Atualizações em informática 2011. Brasil.
  10. Physical Sciences Artificial Intelligence
    Ricardo Bastos Cavalcante PRUDENCIO; Marcílio Carlos Pereira De SOUTO; Teresa Bernarda LUDERMIR. 2011. Selecting machine learning algorithms using the ranking meta-learning approach. In: Meta-learning in computational intelligence. Brasil.
  1. Physical Sciences Artificial Intelligence
    Teresa Bernarda LUDERMIR; Ricardo Bastos Cavalcante PRUDENCIO; Cléber ZANCHETIN. 2011. International journal of hybrid intelligent systems - special issue of brazilian symposium on neural networks. Brasil.