Prof. Jean-daniel Zucker

University Paris 6 and IRD, France



Ph.D., Université Paris VI, France

M.Sc., University Paris, France

Publications (Selected)

  1. Treuil, J.-P., A. Drogoul and J.-D. Zucker (2008). Modélisation et simulation à base d’agents: Approches particulaires, modèles à base d’agents, de la mise en pratique aux questions théoriques, Dunod.
  2. Zucker, J.-D. and A. Cornuejols, Eds. (2007). Actes de la conférence d'Apprentissage (CAp) 2007.Grenoble,France, PUG.
  3. Zucker, J.-D. and L. Saitta, Eds. (2005). Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005. Lecture Notes in Computer Science 3607. Springer.
  4. Birkner, M. D., M. Courtine, K. Clément, J.-D. Zucker, M.-J. v. d. Laan and S. Dudoit (2007). Genetic mapping of complex human traits using single nucleotide polymorphisms: The ObeLinks Project. . Multiple Testing Procedures with Applications to Genomics Collection. S. D. a. M. J. v. d. Laan, Springer Verlag.
  5. Courtine, M., J.-D. Zucker and K. Clément (2004). Classification et caractérisation automatique des fonctions de gènes co-exprimés. Informatique pour l'analyse du transcriptome. O.Gandrillon and J. F. Boulicaut. Paris, Hermes: 252-27.
  6. Henegar, C., S. Taleb, D. Langin, J.-D. Zucker and K. Clément (2009). Application of ‘Omic’ strategies to Obesity Research. Peptides in Energy Balance and Obesity G. Fruhbeck, CABI: 349-367.
  7. Lamy, J.-B., A. Ellini, J. Nobécourt, A. Venot and J.-D. Zucker. (2010). Testing methods for decision support systems. Decision support systems. Intech. Vukovar, Croatia, InTech: 87-98.
  8. Mustière, S. and J.-D. Zucker (2002). Généralisation Cartographique et apprentissage automatique à partir d'exemples. Généralisation et Représentations Multiples. A. Ruas. Paris, Hermès. Chapitre 20: 353-368.
  9. Zucker, J.-D. (1995). Integrating Machine Learning Techniques in a Guided Discovery Tutoring Environment: MEMOCAR. Emerging Computer Technologies in Education: 189-206.
  10. Zucker , J.-D. (2001). Multiple instance learning and Propositionalization. Machine Learning: A Technological Roadmap. L. Saitta. Amsterdam, The Nederlands, University of Amsterdam.
  11. Prifti, E., J.-D. Zucker, K. Clément and C. Henegar (2010). "Interactional and functional centrality in transcriptional co-expression networks." BioInformatics 26 (24): 3083-9.
  12. Nadeem, S.-A., J.-d. Zucker and B. Hanczar (2010). "Accuracy-Rejection Curves (ARCs) for Comparison of Classification Methods with Reject Option." Journal of Machine Learning Research 8: 65-81.
  13. Mutch, D. M., T. H. Pers, M. R. Temanni, V. Pelloux, Adriana Marquez-Quiñones, J. A. M. Claus Holst, D. Babalis, M. A. v. Baak, T. Handjieva-Darlenska, A. A. Celia G Walker, W. H. Saris, D. Langin, N. Viguerie, J.-D. Zucker and a. K. Clément (2010). "A distinct adipose tissue gene expression response to caloric restriction foreshadows successful weight maintenance in obese subjects." The American Journal of Clinical Nutrition.
  14. Hanczar, B., C. Henegar and J.-D. Zucker (2010). "Exploring interaction measures to identify informative pairs of genes." International Journal of Bioinformatics Research and Applications 6(6): 15.
  15. Divoux, A., J. Tordjman, D. Lacasa, N. Veyrie, D. Hugol, A. Aissat, A. Basdevant, M. Guerre-Millo, C. Poitou, J.-D. Zucker, P. Bedossa and K. Clément (2010). "Fibrosis in human adipose tissue: composition, distribution and link with lipid metabolism and fat mass loss." Diabetes.
  16. Sheeren, D., Sébastien Mustière and J.-D. Zucker (2009). "A data mining approach for assessing consistency between multiple representations in spatial databases." International Journal of Geographical Information Science 23(8): 961-992.
  17. Much, D., J. Tordjman, V. Pelloux, B. Hanczar, C. Henegar, C. Poitou, N. Veyrie, J.-D. Zucker and K. Clément (2009). "Needle and surgical biopsy techniques differentially affect adipose tissue gene expression profiles" Am J Clin Nutr 89(1): 51-7.
  18. Chu, T.-Q., A. Drogoul, A. Boucher and J.-D. Zucker (2009). "Interactive Learning of Independent Experts’ Criteria for Rescue Simulations." Journal of Universal Computer Science 15(13): 2701-2725.
  19. Prifti, E., J.-D. Zucker, K. Clement and C. Henegar (2008). "FunNet: an integrative tool for exploring transcriptional interactions " Bioinformatics 24(22): 2636-2638.
  20. Lamy, J. B., A. Ellini, V. Ebrahiminia, J. D. Zucker, H. Falcoff and A. Venot (2008). "Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system." Stud Health Technol Inform 136: 223-8.

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