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Jean-Daniel Zucker: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nicolas Bredeche, Zhongzhi Shi, Jean-Daniel Zucker
    Perceptual Learning and Abstraction in Machine Learning. [Citation Graph (0, 0)][DBLP]
    IEEE ICCI, 2003, pp:18-25 [Conf]
  2. David Sheeren, Sébastien Mustière, Jean-Daniel Zucker
    How to Integrate Heterogeneous Spatial Databases in a Consistent Way? [Citation Graph (0, 0)][DBLP]
    ADBIS, 2004, pp:364-378 [Conf]
  3. Yann Chevaleyre, Jean-Daniel Zucker
    Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2001, pp:204-214 [Conf]
  4. Jean-Daniel Zucker
    Reformulation of Examples in Concept Learning of Structural Descriptions. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1995, pp:377-388 [Conf]
  5. Flávio Oquendo, Jean-Daniel Zucker, Philip Griffiths
    A Meta-CASE Environment for Software Process-Centred CASE Environments. [Citation Graph (0, 0)][DBLP]
    CAiSE, 1992, pp:568-588 [Conf]
  6. Blaise Hanczar, Jean-Daniel Zucker
    Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:247-262 [Conf]
  7. Nicolas Bredeche, Jean-Daniel Zucker
    From Distributed Robot Perception to Human Topology: A Learning Model. [Citation Graph (0, 0)][DBLP]
    DARS, 2000, pp:469-470 [Conf]
  8. Yann Chevaleyre, Jean-Daniel Zucker
    A Framework for Learning Rules from Multiple Instance Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:49-60 [Conf]
  9. Corneliu Henegar, Karine Clément, Jean-Daniel Zucker
    Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:186-197 [Conf]
  10. Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker
    KIDS: An Iterative Algorithm to Organize Relational Knowledge. [Citation Graph (0, 0)][DBLP]
    EKAW, 2000, pp:217-232 [Conf]
  11. Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker
    Une approche multi-agent adaptative pour la simulation de schémas tactiques. [Citation Graph (0, 0)][DBLP]
    EGC, 2006, pp:143-148 [Conf]
  12. Mohamed Ramzi Temanni, Mustapha Lebbah, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker
    Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:33-44 [Conf]
  13. Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta
    Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. [Citation Graph (0, 0)][DBLP]
    ACM-GIS, 1999, pp:162-164 [Conf]
  14. Jun Wang, Jean-Daniel Zucker
    Solving the Multiple-Instance Problem: A Lazy Learning Approach. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:1119-1126 [Conf]
  15. Jean-Daniel Zucker, Jean-Gabriel Ganascia
    Selective Reformulation of Examples in Concept Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:352-360 [Conf]
  16. Jean-Daniel Zucker, Jean-Gabriel Ganascia
    Representation Changes for Efficient Learning in Structural Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:543-551 [Conf]
  17. Lorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière
    An Abstraction-based Machine Learning Approach to Cartographic Generalisation. [Citation Graph (0, 0)][DBLP]
    IICAI, 2005, pp:621-638 [Conf]
  18. Christophe Meyer, Jean-Gabriel Ganascia, Jean-Daniel Zucker
    Learning Strategies in Games by Anticipation. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:698-707 [Conf]
  19. Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker
    Propositionalization for Clustering Symbolic Relational Descriptions. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:1-16 [Conf]
  20. Jean-Daniel Zucker, Jean-Gabriel Ganascia
    Learning Structurally Indeterminate Clauses. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:235-244 [Conf]
  21. Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker
    Abstraction in Cartographic Generalization. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:638-644 [Conf]
  22. Lorenza Saitta, Jean-Daniel Zucker
    Perception-Based Granularity Levels in Concept Representation. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2000, pp:409-416 [Conf]
  23. Jean-Daniel Zucker, Vincent Corruble, J. Thomas, Geber Ramalho
    DICE: A Discovery Environment Integrating Inductive Bias. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:275-286 [Conf]
  24. Laurent Breton, Jean-Daniel Zucker, Eric Clément
    A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium. [Citation Graph (0, 0)][DBLP]
    MABS, 2000, pp:108-118 [Conf]
  25. Aydano Machado, Geber Ramalho, Jean-Daniel Zucker, Alexis Drogoul
    Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures. [Citation Graph (0, 0)][DBLP]
    MABS, 2002, pp:155-170 [Conf]
  26. Nicolas Bredeche, Jean-Daniel Zucker, Yann Chevaleyre
    A Wrapper-Based Approach to Robot Learning Concepts from Images. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2002, pp:616- [Conf]
  27. Lorenza Saitta, Jean-Daniel Zucker
    Abstraction and Phase Transitions in Relational Learning. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:291-302 [Conf]
  28. Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker
    Abstractions for Knowledge Organization of Relational Descriptions. [Citation Graph (0, 0)][DBLP]
    SARA, 2000, pp:87-106 [Conf]
  29. Jean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta
    Abstracting Visual Percepts to Learn Concepts. [Citation Graph (0, 0)][DBLP]
    SARA, 2002, pp:256-273 [Conf]
  30. Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber Ramalho, Jean-Daniel Zucker
    Speeding up Recommender Systems with Meta-prototypes. [Citation Graph (0, 0)][DBLP]
    SBIA, 2002, pp:227-236 [Conf]
  31. Lorenza Saitta, Jean-Daniel Zucker
    A Model of Abstraction in Visual Perception. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:8, pp:761-776 [Journal]
  32. Jean-Daniel Zucker, Jean-Gabriel Ganascia, Isabelle Bournaud
    Relational Knowledge Discovery in a Chinese Character Database. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 1998, v:12, n:5, pp:455-488 [Journal]
  33. Corneliu Henegar, Raffaella Cancello, Sophie Rome, Hubert Vidal, Karine Clément, Jean-Daniel Zucker
    Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2006, v:4, n:4, pp:833-852 [Journal]
  34. Nicolas Bredeche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah
    A meta-learning approach to ground symbols from visual percepts. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2003, v:43, n:2-3, pp:149-162 [Journal]
  35. Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker
    Improving classification of microarray data using prototype-based feature selection. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:2, pp:23-30 [Journal]
  36. Lorenza Saitta, Jean-Daniel Zucker
    Abstraction and Complexity Measures. [Citation Graph (0, 0)][DBLP]
    SARA, 2007, pp:375-390 [Conf]

  37. AbsTop-Ka : un algorithme d'extraction de paires abstraites hautement corrélées pour mieux recommander dans "la longue traîne". [Citation Graph (, )][DBLP]

  38. Interactive Learning of Expert Criteria for Rescue Simulations. [Citation Graph (, )][DBLP]

  39. Abstracting Complex Interaction Networks. [Citation Graph (, )][DBLP]

  40. Experiments with Adaptive Transfer Rate in Reinforcement Learning. [Citation Graph (, )][DBLP]

  41. DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale. [Citation Graph (, )][DBLP]

  42. Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system. [Citation Graph (, )][DBLP]

  43. Feature construction from synergic pairs to improve microarray-based classification. [Citation Graph (, )][DBLP]

  44. FunNet: an integrative tool for exploring transcriptional interactions. [Citation Graph (, )][DBLP]

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