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Christophe G. Giraud-Carrier: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christophe G. Giraud-Carrier
    Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:159-168 [Conf]
  2. Timothy Langford, Christophe G. Giraud-Carrier, John Magee
    Detection of Infectious Outbreaks in Hospitals through Incremental Clustering. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:30-39 [Conf]
  3. T. S. Dahl, Christophe G. Giraud-Carrier
    Evolution, Adaption, and Behavioural Holism in Artificial Intelligence. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:499-508 [Conf]
  4. Rafal Bogacz, Christophe G. Giraud-Carrier
    A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:63-77 [Conf]
  5. Brent Wenerstrom, Christophe G. Giraud-Carrier
    Temporal Data Mining in Dynamic Feature Spaces. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1141-1145 [Conf]
  6. Antony F. Bowers, Christophe G. Giraud-Carrier, John W. Lloyd
    Classification of Individuals with Complex Structure. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:81-88 [Conf]
  7. Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier
    Meta-Learning by Landmarking Various Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:743-750 [Conf]
  8. Olivier Povel, Christophe G. Giraud-Carrier
    SwissAnalyst. [Citation Graph (0, 0)][DBLP]
    AIAI, 2004, pp:393-406 [Conf]
  9. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    Frequency-Based Error Back-Propagation in a Cortical Network. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:211-216 [Conf]
  10. Peter A. Flach, Christophe G. Giraud-Carrier, John W. Lloyd
    Strongly Typed Inductive Concept Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:185-194 [Conf]
  11. Hilan Bensusan, Christophe G. Giraud-Carrier, Claire J. Kennedy
    A Higher-order Approach to Meta-learning . [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  12. René MacKinney-Romero, Christophe G. Giraud-Carrier
    Inducing Classification Rules from Highly-Structured Data with Composition. [Citation Graph (0, 0)][DBLP]
    MICAI, 2004, pp:262-271 [Conf]
  13. Rafal Bogacz, Christophe G. Giraud-Carrier
    BRAINN: A Connectionist Approach to Symbolic Reasoning. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:907-913 [Conf]
  14. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex. [Citation Graph (0, 0)][DBLP]
    Emergent Neural Computational Architectures Based on Neuroscience, 2001, pp:428-441 [Conf]
  15. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:838-844 [Conf]
  16. Hilan Bensusan, Christophe G. Giraud-Carrier
    Discovering Task Neighbourhoods Through Landmark Learning Performances. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:325-330 [Conf]
  17. Claire J. Kennedy, Christophe G. Giraud-Carrier, Douglas W. Bristol
    Predicting Chemical Carcinogenesis Using Structural Information Only. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:360-365 [Conf]
  18. René MacKinney-Romero, Christophe G. Giraud-Carrier
    Learning from Highly Structured Data by Decomposition. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:436-441 [Conf]
  19. Christophe G. Giraud-Carrier
    A Note on the Utility of Incremental Learning. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2000, v:13, n:4, pp:215-224 [Journal]
  20. Christophe G. Giraud-Carrier, Olivier Povel
    Characterising Data Mining software. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2003, v:7, n:3, pp:181-192 [Journal]
  21. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    Model of co-operation between recency, familiarity and novelty neurons in the perirhinal cortex. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1121-1126 [Journal]
  22. Christophe G. Giraud-Carrier, Tony R. Martinez
    An Integrated Framework for Learning and Reasoning. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:147-185 [Journal]
  23. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    Model of Familiarity Discrimination in the Perirhinal Cortex. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 2001, v:10, n:1, pp:5-23 [Journal]
  24. Christophe G. Giraud-Carrier, Tony R. Martinez
    Analysis of the Convergence and Generalization of AA1. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 1995, v:26, n:1, pp:125-131 [Journal]
  25. Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil
    Introduction to the Special Issue on Meta-Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:3, pp:187-193 [Journal]
  26. Christophe G. Giraud-Carrier
    A Reconfigurable Data Flow Machine for Implementing Functional Programming Languages. [Citation Graph (0, 0)][DBLP]
    SIGPLAN Notices, 1994, v:29, n:9, pp:22-28 [Journal]
  27. Claire J. Thie, Christophe G. Giraud-Carrier
    Learning Concept Descriptions with Typed Evolutionary Programming. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:12, pp:1664-1677 [Journal]
  28. Stephen Ivie, Burdette Pixton, Christophe G. Giraud-Carrier
    Metric-Based Data Mining Model for Genealogical Record Linkage. [Citation Graph (0, 0)][DBLP]
    IRI, 2007, pp:538-543 [Conf]
  29. Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares
    Using Meta-Learning to Support Data Mining. [Citation Graph (0, 0)][DBLP]
    IJCSA, 2004, v:1, n:1, pp:31-45 [Journal]

  30. Fused Multi-modal Deduplication. [Citation Graph (, )][DBLP]


  31. Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous. [Citation Graph (, )][DBLP]


  32. New Insights into Learning Algorithms and Datasets. [Citation Graph (, )][DBLP]


  33. Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features. [Citation Graph (, )][DBLP]


  34. The data mining advisor: meta-learning at the service of practitioners. [Citation Graph (, )][DBLP]


  35. Learning the Threshold in Hierarchical Agglomerative Clustering. [Citation Graph (, )][DBLP]


  36. Transfer Learning in Decision Trees. [Citation Graph (, )][DBLP]


  37. Cooperation-based Clustering for Profit-maximizing Organizational Design. [Citation Graph (, )][DBLP]


  38. Ranking Search Results for Translated Content. [Citation Graph (, )][DBLP]


  39. An Integrated Framework for Learning and Reasoning [Citation Graph (, )][DBLP]


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