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Fernando J. Von Zuben: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro
    Handling Data Sparseness in Gene Network Reconstruction. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:68-75 [Conf]
  2. Patrícia Amâncio Vargas, Renan Moioli, Leandro Nunes de Castro, Jon Timmis, Mark Neal, Fernando J. Von Zuben
    Artificial Homeostatic System: A Novel Approach. [Citation Graph (0, 0)][DBLP]
    ECAL, 2005, pp:754-764 [Conf]
  3. Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben
    Interactive Control of Evolution Applied to Sound Synthesis. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:51-56 [Conf]
  4. Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo
    Autonomous navigation system applied to collective robotics with ant-inspired communication. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:121-128 [Conf]
  5. Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
    Modular and Hierarchial Evolutionary Design of Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 1999, pp:180-187 [Conf]
  6. Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro
    An artificial immune network for multimodal function optimization on dynamic environments. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:289-296 [Conf]
  7. Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
    RABNET: a real-valued antibody network for data clustering. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:371-372 [Conf]
  8. Oclair Prado, Fernando J. Von Zuben
    An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:693- [Conf]
  9. Oclair Prado, Fernando J. Von Zuben
    A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction. [Citation Graph (0, 0)][DBLP]
    GECCO Late Breaking Papers, 2002, pp:377-383 [Conf]
  10. Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben
    An Immune-Inspired Approach to Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:23-28 [Conf]
  11. Leonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano
    Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:66-73 [Conf]
  12. José Carlos L. Pinto, Fernando J. Von Zuben
    Fault Detection Algorithm for Telephone Systems Based on the Danger Theory. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:418-431 [Conf]
  13. George Barreto Bezerra, Tiago V. Barra, Leandro Nunes de Castro, Fernando J. Von Zuben
    Adaptive Radius Immune Algorithm for Data Clustering. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:290-303 [Conf]
  14. George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben
    A Hierarchical Immune Network Applied to Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2004, pp:14-27 [Conf]
  15. Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben
    Application of an Artificial Immune System in a Compositional Timbre Design Technique. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:389-403 [Conf]
  16. Pablo Alberto Dalbem de Castro, Guilherme P. Coelho, Marcelo F. Caetano, Fernando J. Von Zuben
    Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2005, pp:469-482 [Conf]
  17. Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben
    An Immune Learning Classifier Network for Autonomous Navigation. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2003, pp:69-80 [Conf]
  18. Guilherme P. Coelho, Fernando J. Von Zuben
    omni-aiNet: An Immune-Inspired Approach for Omni Optimization. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2006, pp:294-308 [Conf]
  19. George Barreto Bezerra, Tiago V. Barra, Hamilton M. Ferreira, Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
    An Immunological Filter for Spam. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2006, pp:446-458 [Conf]
  20. Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
    Data Clustering with a Neuro-immune Network. [Citation Graph (0, 0)][DBLP]
    ICNC (1), 2005, pp:1279-1288 [Conf]
  21. Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro
    Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1094-1100 [Conf]
  22. Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben
    A Multiagent-Based Constructive Approach for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:462-473 [Conf]
  23. Patrícia Amâncio Vargas, Leandro Nunes de Castro, Fernando J. Von Zuben
    Mapping Artificial Immune Systems into Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2002, pp:163-186 [Conf]
  24. Patrícia Amâncio Vargas, Christiano LyraFilho, Fernando J. Von Zuben
    On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems. [Citation Graph (0, 0)][DBLP]
    IWLCS, 2001, pp:181-196 [Conf]
  25. Lalinka de C. T. Gomes, Fernando J. Von Zuben
    A Heuristic Method Based on Unsupervised Learning and Fuzzy Inference for the Vehicle Routing Problem. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:130-135 [Conf]
  26. Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben
    Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:162-167 [Conf]
  27. Luiz Augusto da Cruz Meleiro, Ricardo J. G. B. Campello, Rubens Maciel Filho, Fernando J. Von Zuben
    Identification of a Multivariate Fermentation Process using Constructive Learning. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:19-24 [Conf]
  28. Leandro Nunes de Castro, Eduardo Masato Iyoda, Fernando J. Von Zuben, Ricardo R. Gudwin
    Feedforward Neural Network Initialization: an Evolutionary Approach. [Citation Graph (0, 0)][DBLP]
    SBRN, 1998, pp:43-48 [Conf]
  29. Leandro Nunes de Castro, Fernando J. Von Zuben
    An Evolutionary Immune Network for Data Clustering. [Citation Graph (0, 0)][DBLP]
    SBRN, 2000, pp:84-89 [Conf]
  30. Artemis Moroni, Rafael Maiolla, Jônatas Manzolli, Fernando J. Von Zuben
    ArTVox: Evolutionary Composition in Visual and Sound Domains. [Citation Graph (0, 0)][DBLP]
    Smart Graphics, 2006, pp:218-223 [Conf]
  31. Oclair Prado, Fernando J. Von Zuben, Sérgio Furtado dos Reis
    Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches. [Citation Graph (0, 0)][DBLP]
    WOB, 2002, pp:56-63 [Conf]
  32. George Barreto Bezerra, Geraldo M. A. Cançado, Marcelo Menossi, Leandro Nunes de Castro, Fernando J. Von Zuben
    Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results. [Citation Graph (0, 0)][DBLP]
    WOB, 2004, pp:9-16 [Conf]
  33. Robinson Semoline, Fernando J. Von Zuben
    Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    WOB, 2002, pp:102-104 [Conf]
  34. Ana Estela Antunes da Silva, Wilfredo J. P. Villanueva, Helder Knidel, Vinícius Bonato, Sérgio Furtado dos Reis, Fernando J. Von Zuben
    A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization. [Citation Graph (0, 0)][DBLP]
    WOB, 2004, pp:73-80 [Conf]
  35. Lalinka de C. T. Gomes, Janaína S. de Sousa, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben
    Copt-aiNet and the Gene Ordering Problem. [Citation Graph (0, 0)][DBLP]
    WOB, 2003, pp:28-37 [Conf]
  36. Lalinka de C. T. Gomes, Fernando J. Von Zuben, Pablo Moscato
    Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    WOB, 2002, pp:91-93 [Conf]
  37. Lalinka de Campos Teixeira Gomes, Fernando J. Von Zuben, Pablo Moscato
    A proposal for direct-ordering gene expression data by self-organising maps. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2004, v:5, n:1, pp:11-21 [Journal]
  38. Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
    Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:141, n:1, pp:89-106 [Journal]
  39. Janaína S. de Sousa, Lalinka de C. T. Gomes, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben
    An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Genetic Programming and Evolvable Machines, 2004, v:5, n:2, pp:157-179 [Journal]
  40. Leandro Nunes de Castro, Fernando J. Von Zuben
    Immune and Neural Network Models: Theoretical and Empirical Comparisons. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:3, pp:239-257 [Journal]
  41. Leandro Nunes de Castro, Fernando J. Von Zuben
    Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:6, pp:523-535 [Journal]
  42. Leandro Nunes de Castro, Fernando J. Von Zuben, Getúlio A. de Deus Jr.
    The construction of a Boolean competitive neural network using ideas from immunology. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:50, n:, pp:51-85 [Journal]
  43. Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro
    Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2005, v:29, n:2, pp:163-172 [Journal]
  44. Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
    Hierarchical genetic fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2001, v:136, n:1-4, pp:29-52 [Journal]
  45. Eduardo Masato Iyoda, Kaoru Hirota, Fernando J. Von Zuben
    Sigma-Pi Cascade Extended Hybrid Neural Network. [Citation Graph (0, 0)][DBLP]
    JACIII, 2002, v:6, n:3, pp:126-134 [Journal]
  46. Lalinka de C. T. Gomes, Fernando J. Von Zuben
    Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:13, n:2-4, pp:143-154 [Journal]
  47. Leandro Nunes de Castro, Fernando J. Von Zuben
    Learning and optimization using the clonal selection principle. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:3, pp:239-251 [Journal]
  48. Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben
    Self-organizing Bio-inspired Sound Transformation. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2007, pp:477-487 [Conf]
  49. Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben
    Applying Biclustering to Text Mining: An Immune-Inspired Approach. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2007, pp:83-94 [Conf]
  50. Guilherme P. Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben
    Evolving Phylogenetic Trees: A Multiobjective Approach. [Citation Graph (0, 0)][DBLP]
    BSB, 2007, pp:113-125 [Conf]
  51. Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben
    Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:10, pp:2049-2074 [Journal]

  52. bicACO: An Ant Colony Inspired Biclustering Algorithm. [Citation Graph (, )][DBLP]


  53. Multivariate ant colony optimization in continuous search spaces. [Citation Graph (, )][DBLP]


  54. Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. [Citation Graph (, )][DBLP]


  55. Feature Subset Selection by Means of a Bayesian Artificial Immune System. [Citation Graph (, )][DBLP]


  56. Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets. [Citation Graph (, )][DBLP]


  57. GAIS: A Gaussian Artificial Immune System for Continuous Optimization. [Citation Graph (, )][DBLP]


  58. MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization. [Citation Graph (, )][DBLP]


  59. A Multi-Objective Multipopulation Approach for Biclustering. [Citation Graph (, )][DBLP]


  60. Density Preservation and Vector Quantization in Immune-Inspired Algorithms. [Citation Graph (, )][DBLP]


  61. Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System. [Citation Graph (, )][DBLP]


  62. Long-term time series prediction using wrappers for variable selection and clustering for data partition. [Citation Graph (, )][DBLP]


  63. A Wrapper for Projection Pursuit Learning. [Citation Graph (, )][DBLP]


  64. Data partition and variable selection for time series prediction using wrappers. [Citation Graph (, )][DBLP]


  65. An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. [Citation Graph (, )][DBLP]


  66. Support Vector Clustering Applied to Digital Communications. [Citation Graph (, )][DBLP]


  67. The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles. [Citation Graph (, )][DBLP]


  68. A Supervised Constructive Neuro-Immune Network for Pattern Classification. [Citation Graph (, )][DBLP]


  69. A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. [Citation Graph (, )][DBLP]


  70. Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. [Citation Graph (, )][DBLP]


  71. Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks. [Citation Graph (, )][DBLP]


  72. Evolving an Artificial Homeostatic System. [Citation Graph (, )][DBLP]


  73. A classifier system in real applications for robot navigation. [Citation Graph (, )][DBLP]


  74. Implementation of an immuno-genetic network on a real Khepera II robot. [Citation Graph (, )][DBLP]


  75. An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments. [Citation Graph (, )][DBLP]


  76. Towards the evolution of an artificial homeostatic system. [Citation Graph (, )][DBLP]


  77. Improving a multi-objective multipopulation artificial immune network for biclustering. [Citation Graph (, )][DBLP]


  78. A Complex Neighborhood based Particle Swarm Optimization. [Citation Graph (, )][DBLP]


  79. A dynamic artificial immune algorithm applied to challenging benchmarking problems. [Citation Graph (, )][DBLP]


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