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Anne M. P. Canuto: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. André M. C. Campos, Anne M. P. Canuto, Jorge H. C. Fernandes
    Towards a Methodology for Developing Agent-Based Simulations: The MASim Methodology. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1494-1495 [Conf]
  2. André M. C. Campos, Emanuel B. Santos, Anne M. P. Canuto, Rodrigo G. Soares, João Carlos Alchieri
    A flexible framework for representing personality in agents. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2006, pp:97-104 [Conf]
  3. Anne M. P. Canuto, Gareth Howells, Michael C. Fairhurst
    RePART: A Modified Fuzzy ARTMAP for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1999, pp:159-168 [Conf]
  4. Marjory C. Abreu, Anne M. P. Canuto, Laura Emmanuella A. Santana
    A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:451-456 [Conf]
  5. Anne M. P. Canuto, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos, Marjory C. Abreu
    Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:285-290 [Conf]
  6. Diogo F. Oliveira, Anne M. P. Canuto, André M. C. Campos
    GNeurAge: An Evolutionary Agent-Based System for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:11- [Conf]
  7. Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr., André M. C. Campos
    A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:9- [Conf]
  8. Anne M. P. Canuto, André M. C. Campos, João Carlos Alchieri, Eliane C. M. de Moura, Araken M. Santos, Emamuel B. dos Santos, Rodrigo G. Soares
    A personality-based model of agents for representing individuals in working organizations. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:65-72 [Conf]
  9. Manuel F. Gomes Junior, Anne M. P. Canuto
    Carcara: A Multi-agent System for Web Mining Using Adjustable User Profile and Dynamic Grouping. [Citation Graph (0, 0)][DBLP]
    IAT, 2006, pp:187-190 [Conf]
  10. Anne M. P. Canuto, André M. C. Campos, Araken M. Santos, Eliane C. M. de Moura, Emanuel B. Santos, Rodrigo G. Soares, Kaio A. A. Dantas
    Simulating Working Environments Through the Use of Personality-Based Agents. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2006, pp:108-117 [Conf]
  11. Anne M. P. Canuto, Araken M. Santos, Marjory C. Abreu, Valéria Maria S. Bezerra, Fernanda M. Souza, Manuel F. Gomes Junior
    Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:854-859 [Conf]
  12. Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto
    Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:708-717 [Conf]
  13. Tatiana A. Tavares, Samuel A. Oliveira, Anne M. P. Canuto, Luiz Marcos Gonçalves, Guido S. Filho
    An Infrastructure for Providing Communication among Users of Virtual Cultural Spaces. [Citation Graph (0, 0)][DBLP]
    WebMedia/LA-WEB, 2004, pp:54-61 [Conf]
  14. Tatiana A. Tavares, Samuel A. Oliveira, Anne M. P. Canuto, Luiz Marcos Gonçalves, Guido S. Filho
    A Multi-Agent System for 3D Media Spaces Assistance. [Citation Graph (0, 0)][DBLP]
    LA-WEB, 2005, pp:166-175 [Conf]
  15. Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells
    An Investigation of Fuzzy Combiners applied to a Hybrid Multi-neural System. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:156-161 [Conf]
  16. Anne M. P. Canuto, Gareth Howells, Michael C. Fairhurst
    The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2000, v:12, n:3-4, pp:315-331 [Journal]
  17. Anne M. P. Canuto, Diogo Fagundes, Marjory C. Abreu, João Carlos Xavier Jr.
    Using weighted dynamic classifier selection methods in ensembles with different levels of diversity. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:3, pp:147-158 [Journal]
  18. Anne M. P. Canuto, André M. C. Campos, Valéria Maria S. Bezerra, Marjory C. Abreu
    Investigating the use of a multi-agent system for knowledge discovery in databases. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2007, v:4, n:1, pp:27-38 [Journal]
  19. Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells
    Improving Artmap Learning Through Variable Vigilance. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:6, pp:509-522 [Journal]
  20. Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells
    Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2003, v:13, n:2, pp:67-76 [Journal]
  21. Anne M. P. Canuto, Marjory C. C. Abreu, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos
    Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:4, pp:472-486 [Journal]
  22. Farzin Deravi, Michael C. Fairhurst, Richard M. Guest, Nick Mavity, Anne M. P. Canuto
    Intelligent agents for the management of complexity in multimodal biometrics. [Citation Graph (0, 0)][DBLP]
    Universal Access in the Information Society, 2003, v:2, n:4, pp:293-304 [Journal]
  23. Anne M. P. Canuto, Marjory C. C. Abreu
    Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:349-359 [Conf]

  24. Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems. [Citation Graph (, )][DBLP]


  25. A Class-Based Feature Selection Method for Ensemble Systems. [Citation Graph (, )][DBLP]


  26. Accuracy and Diversity in Ensemble Systems Composed of ARTMAP-Based Models. [Citation Graph (, )][DBLP]


  27. Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods. [Citation Graph (, )][DBLP]


  28. Ensemble-Based Methods for Cancellable Biometrics. [Citation Graph (, )][DBLP]


  29. Analyzing Classification Methods in Multi-label Tasks. [Citation Graph (, )][DBLP]


  30. Web log data clustering for a multi-agent recommendation system. [Citation Graph (, )][DBLP]


  31. A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods. [Citation Graph (, )][DBLP]


  32. Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods. [Citation Graph (, )][DBLP]


  33. Investigating the Use of an Evolutionary Agent-based System for Classification Tasks. [Citation Graph (, )][DBLP]


  34. Using Accuracy and Diversity to Select Classifiers to Build Ensembles. [Citation Graph (, )][DBLP]


  35. Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks. [Citation Graph (, )][DBLP]


  36. Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents. [Citation Graph (, )][DBLP]


  37. An analysis of data distribution methods in classifier combination systems. [Citation Graph (, )][DBLP]


  38. Investigating the influence of RePART in ensemble systems designed by boosting. [Citation Graph (, )][DBLP]


  39. Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles. [Citation Graph (, )][DBLP]


  40. Applying Static and Dynamic Weight Measures in Ensemble Systems. [Citation Graph (, )][DBLP]


  41. A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity. [Citation Graph (, )][DBLP]


  42. A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks. [Citation Graph (, )][DBLP]


  43. Applying Weights in the Functioning of the Dynamic Classifier Selection Method. [Citation Graph (, )][DBLP]


  44. The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles. [Citation Graph (, )][DBLP]


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