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Modélisation Mathématique et Informatique de Systèmes Complexes Naturels, Biologiques ou Sociaux
Géodes n'existe plus. Le site de la nouvelle Unité UMMISCO est accessible à l'adresse : http://www.ummisco.ird.fr
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Ouvrages
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J-P. Treuil,
A. Drogoul and
J-D. Zucker. Modélisation et simulation à base d'agents: Approches particulaires, modèles à base d'agents, de la mise en pratique aux questions théoriques. Dunod, 2008. 
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J-D. Zucker and A. Cornuejols. Actes de la conférence d'Apprentissage (CAp) 2007. PUG, Grenoble, France, 2007.
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J-D. Zucker and Lorenza Saitta editors. Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005. Vol. 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings. of Lecture Notes in Computer Science 3607, Springer, 2005.
Note: Abstraction, Reformulation and Approximation 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings Series: Lecture Notes in Computer Science , Vol. 3607 Sublibrary: Lecture Notes in Artificial Intelligence Zucker, Jean-Daniel; Saitta, Lorenza (Eds.) 2005, XII, 376 p., Softcover ISBN: 978-3-540-27872-6.
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Ouvrages Collectifs
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| M-D. Birkner, M. Courtine, K. Clement,
J-D. Zucker, M.-J. Laan, S. Dudoit and van der. Genetic mapping of complex human traits using single nucleotide polymorphisms: The ObeLinks Project. In S. Dudoit Laan, van der editors, Multiple Testing Procedures with Applications to GenomicsCollection, Springer Verlag, 2007.
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| M. Courtine,
J-D. Zucker and K. Clement. Classification et caractérisation automatique des fonctions de gènes co-exprimés. In O. Gandrillon and J-F. Boulicaut editors, Informatique pour l'analyse du transcriptome, Pages 252-27, Hermes, Paris, 2004.
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| S. Mustière and
J-D. Zucker. Généralisation Cartographique et apprentissage automatique à partir d'exemples. In A. Ruas editor, Généralisation et Représentations Multiples, Vol. Chapitre 20:353-368, Hermès, Paris, 2002.
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J-D. Zucker. Multiple instance learning and Propositionalization. In Lorenza Saitta editor, Machine Learning: A Technological Roadmap, University of Amsterdam, Amsterdam, The Nederlands, 2001.
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J-D. Zucker. Integrating Machine Learning Techniques in a Guided Discovery Tutoring Environment: MEMOCAR. In Emerging Computer Technologies in Education, Pages 189-206, 1995.
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Publications en revues indexées
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C. Hennegar, J. Tordjman, V. Achard, D. Lacasa, I. Cremer, M. Guerre-Millo, C. Poitou, A. Basdevant, V. Stich, N. Viguerie, D. Langin, P. Bedossa,
J-D. Zucker and K. Clement. Adipose tissue transcriptomic signature highlights the pathological relevance of extracellular matrix in human obesity. In Genome Biol, Vol. 9(1):R14, 2008. 
Note: 1465-6914 (Electronic) Journal article. [Annote]
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E. Prifti,
J-D. Zucker, K. Clement and C. Hennegar. FunNet: an integrative tool for exploring transcriptional interactions. In Bioinformatics (Oxford, England), INSERM, UMR-S 872, Les Cordeliers, Eq. 7 Nutriomique, Paris, F-75006 France; Pierre et Marie Curie-Paris 6 University, Cordeliers Research Center, UMR-S 872, Paris, F-75006 France; Assistance Publique-Hôpitaux de Paris, Pitié Salpotrière, September 2008. [Abstract] Note: ISSN 1460-2059. [Annote]
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| D. Sheeren, S. Mustière and
J-D. Zucker. A data mining approach for assessing consistency between multiple representations in spatial databases. In International Journal of Geographical Information Science, Vol. 22:30, 2008.
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E. Prifti,
J-D. Zucker, K. Clement and C. Hennegar. FunNet: an integrative tool for exploring transcriptional interactions. In Bioinformatics, Vol. 24(22):263-2638, 2008.
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| D. Mutch, J. Tordjman, V. Pelloux, B. Hanczar, C. Hennegar, C. Poitou, N. Veyrie,
J-D. Zucker and K. Clement. Needle and surgical biopsy techniques differentially affect adipose tissue gene expression profiles. In American Journal of Clinical Nutrition, Vol. 3, 2008.
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J. B. Lamy, A. Ellini, V. Ebrahiminia,
J-D. Zucker, H. Falcoff and A. Venot. Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system. In Stud Health Technol Inform, Vol. 136:223-8, 2008. [Abstract]
Note: 0926-9630 (Print) Journal Article.
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C. Hennegar, J. Tordjman, V. Achard, D. Lacasa, I. Cremer, M. Guerre-Millo, C. Poitou, A. Basdevant, V. Stich, N. Viguerie, D. Langin, P. Bedossa,
J-D. Zucker and K. Clement. Adipose tissue transcriptomic signature highlights the pathological relevance of extracellular matrix in human obesity. In Genome Biol, Vol. 9(1):R14, 2008. [Abstract]
Note: 1465-6914 (Electronic) Journal article.
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| C. Hennegar, C. Pagnoux, L-X. Puecha,
J-D. Zucker, V. Le-Guern, M. Saba, D. Bagneres, O. Meyer and L. Guillevin. A paradigm of diagnostic criteria for polyarteritis nodosa: analysis of a series of 949 vasculitides. In Arthritis Rheum, 2008.
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| D. Sheeren, S. Mustière and
J-D. Zucker. A data mining approach for assessing consistency between multiple representations in spatial databases. In International Journal of Geographical Information Science, Vol. UK 888, 2007.
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| B. Hanczar,
J-D. Zucker, C. Hennegar and Lorenza Saitta. Feature construction from synergic pairs to improve microarray-based classification. In Bioinformatics, Pages btm429, 2007. [Abstract]
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| S. Taleb, R. Van Haaften, C. Hennegar, C. Hukshorn, R. Cancello, V. Pelloux, B. Hanczar, N. Viguerie, D. Langin, C. Evelo,
J-D. Zucker, K. Clement and W. Saris. Microarray profiling of human white adipose tissue after exogenous leptin injection. In European Journal of Clinical Investigation, Vol. 36, 2006.
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| C. Hennegar, R. Cancello, S. Rome, H. Vidal, K. Clement and
J-D. Zucker. Clustering biological annotations and gene expression data to identify putatively co-regulated biological processes. In Journal of Bioinformatics and Computational Biology (JBCB), Vol. 4(4), 2006.
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| N. Bredèche, Z. Shi and
J-D. Zucker. Perceptual Learning and Abstraction in Machine Learning : an application to autonomous robotics. In IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol. 36(2):172-181, 2006.
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| S. Taleb, D. Lacasa, JP. Bastard, C. Poitou, R. Cancello, V. Pelloux, N. Viguerie, A. Benis,
J-D. Zucker, J-L. Bouillot, C. Coussieu, A. Basdevant, D. Langin and K. Clement. Cathepsin S, a novel biomarker of adiposity: relevance to atherogenesis. In FASEB J., Vol. 19(11):1540-2, 2005.
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C. Poitou, N. Viguerie, R. Cancello, R. De Matteis, S. Cinti, V. Stich, C. Coussieu, E. Gauthier, M. Courtine,
J-D. Zucker, G-S. Barsh, W. Saris, P. Bruneval, A. Basdevant, D. Langin and K. Clement. Serum amyloid A: production by human white adipocyte and regulation by obesity and nutrition. In Diabetologia, Vol. 48(3):519-28, 2005. [Abstract]
Note: 0012-186x Journal Article.
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| J. Kaput, J. M. Ordovas, L. Ferguson, B. van Ommen, R. L. Rodriguez, L. Allen, B-N. Ames, K. Dawson, B. German, R. Krauss, W. Malyj, M-C. Archer, S. Barnes, A. Bartholomew, R. Birk, P. van Bladeren, K-J. Bradford, K-H. Brown, R. Caetano, D. Castle, R. Chadwick, S. Clarke, K. Clement, C-A. Cooney, D. Corella, I. B. Manica da Cruz, H. Daniel, T. Duster, S-O. Ebbesson, R. Elliott, S. Fairweather-Tait, J. Felton, M. Fenech, J. W. Finley, N. Fogg-Johnson, R. Gill-Garrison, M. J. Gibney, P. J. Gillies, J. A. Gustafsson, J. L. Hartman Iv, L. He, J. Wang, J. P. Jais, Y. Jang, H. Joost, C. Junien, M. Kanter, W. A. Kibbe, B. Koletzko, B. R. Korf, K. Kornman, D. W. Krempin, D. Langin, D. R. Lauren, J. Ho Lee, G. A. Leveille, S. J. Lin, J. Mathers, M. Mayne, W. McNabb, J. A. Milner, P. Morgan, M. Muller, Y. Nikolsky, F. van der Ouderaa, T. Park, N. Pensel, F. Perez-Jimenez, K. Poutanen, M. Roberts, W-H-M. Saris, G. Schuster, A. N. Shelling, A. P. Simopoulos, S. Southon, E. S. Tai, B. Towne, P. Trayhurn, R. Uauy, W. J. Visek, C. Warden, R. Weiss, J. Wiencke, J. Winkler, G-L. Wolff, X. Zhao-Wilson and
J-D. Zucker. The case for strategic international alliances to harness nutritional genomics for public and personal health. In Br J Nutr, Vol. 94(5):623-32, 2005. [Abstract] Note: 0007-1145 (Print) Journal ArticleReview.
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| R. Cancello, C. Hennegar, N. Viguerie, S. Taleb, C. Poitou, C. Rouault, M. Coupaye, V. Pelloux, D. Hugol, J-L. Bouillot, A. Bouloumie, G. Barbatelli, S. Cinti, P. A. Svensson, G-S. Barsh,
J-D. Zucker, A. Basdevant, D. Langin and K. Clement. Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss. In Diabetes, Vol. 54(8):2277-86, 2005. [Abstract] Note: 0012-1797 (Print) Journal Article.
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| N. Viguerie, K. Clement, P. Barbe, M. Courtine, A. Benis, D. Larrouy, B. Hanczar, V. Pelloux, C. Poitou, Y. Khalfallah, G-S. Barsh, C. Thalamas,
J-D. Zucker and D. Langin. In vivo epinephrine-mediated regulation of gene expression in human skeletal muscle. In JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM, Vol. 89(5):2000-14, 2004. [Abstract] Note: 0021-972x Journal Article Validation Studies.
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K. Clement, N. Viguerie, C. Poitou, C. Carette, V. Pelloux, C-A. Curat, A. Sicard, S. Rome, A. Benis,
J-D. Zucker, H. Vidal, M. Laville, G-S. Barsh, A. Basdevant, V. Stich, R. Cancello and D. Langin. Weight loss regulates inflammation-related genes in white adipose tissue of obese subjects. In Faseb J, Vol. 18(14):1657-69, 2004. [Abstract]
Note: 1530-6860 Journal Article.
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J-D. Zucker. A grounded theory of abstraction in artificial intelligence. In Philos Trans R Soc Lond B Biol Sci, Vol. 358(1435):1293-309, 2003. [Abstract] Note: 0962-8436 Journal Article.
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| B. Hanczar, M. Courtine, A. Benis, C. Hennegar, K. Clement and
J-D. Zucker. Improving classification of microarray data using prototype-based feature selection. In SIGKDD Explorations, Special Issue on Microarray Data Mining, Vol. 5(2):23-30, 2003.
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N. Bredèche, Y. Chevaleyre,
J-D. Zucker,
A. Drogoul and G. Sabah. A meta-learning approach to anchor visual percepts. In Robotics and Autonomous System Journal, Vol. 43(2-3, special issue on Anchoring Symbols to Sensor Data in Single and Multiple Robot Systems.):149-162, 2003.
Note: Volume 15, Number 8 (dated September 2001) of: Applied Artificial Intelligence a journal from Taylor and Francis Ltd is now available online via the Catchword service, and contains the following articles: MACHINE LEARNING IN COMPUTER VISION 693 - 705 Floriana Esposito; Donato Malerba LEARNING SPATIO-TEMPORAL RELATIONAL STRUCTURES 707 - 722 Walter F. Bischof; Terry Caelli A VISION SYSTEM FOR SYMBOLIC INTERPRETATION OF DYNAMIC SCENES USING ARSOM 723 - 734 Antonio Chella; Donatella Guarino; Ignazio Infantino; Roberto Pirrone A TRAINABLE SYSTEM FOR GRADING FISH FROM IMAGES 735 - 745 Francesca Odone; Emanuele Trucco; Alessandro Verri IMPROVING THE ACCURACY OF DECISION TREE INDUCTION BY FEATURE PRESELECTION 747 - 760 Petra Perner A MODEL OF ABSTRACTION IN VISUAL PERCEPTION 761 - 776 Lorenza Saitta; Jean-Daniel Zucker VISION SYSTEM DEVELOPMENT BY MACHINE LEARNING: MASHING ASSESSMENT IN BREWING 777 - 795 Andy Song; Vic Ciesielski; Peter Rogers. [Annote]
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| L. Breton, Ph. Claudin, E. Clément and
J-D. Zucker. Stress Response Function to a two-dimensional ordered packing of frictional beads. In Europhysics Letter, Vol. 60(6):813-819, 2002. [Abstract]
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| Lorenza Saitta and
J-D. Zucker. A Model of Abstraction in Visual Perception. In Applied Artificial Intelligence, Vol. 15(8):761-776, 2001.
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| P. Perny and
J-D. Zucker. Preference-based Search and Machine Learning for Collaborative Filtering: the Film-Conseil Movie Recommender System. In I3, Vol. 1(1):1-40, 2001.
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J-D. Zucker and Ch. Meyer. Apprentissage pour l'anticipation de comportements de joueurs humains dans les jeux à information complète et imparfaite : les Mind-Reading Machines. In Revue d'Intelligence Artificielle, Vol. 14(3-4):313-338, 2000.
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| S. Galam and
J-D. Zucker. From Individual Choice to Group Decision Making. In Physica A, Vol. 287(3-4):644-659, 2000.
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J-D. Zucker, J-G. Ganascia and I. Bournaud. Relational Knowledge Discovery in a Chinese Characters Database. In Applied Artificial Intelligence, Vol. 12(5):455-488, 1998.
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J-D. Zucker. Compte Rendu de la conférence IJCAI 1997. In Bulletin de l'AFIA, Vol. 32(Janvier):46-48, 1998.
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| I. Bournaud and
J-D. Zucker. Integrating Machine Learning Techniques in A Guided Discovery Tutoring Environment for Chinese Characters. In International Journal of Chinese and Oriental Languages Information Processing Society, Vol. 8(2):101-117, 1998.
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Publications en conférences avec actes et comité de lecture
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D. Mutch, R. Temanni, C. Hennegar, F Combes, V. Pelloux, C. Holst, T. Sorensen, A Astrup, J-A. Martinez, W-H-M. Saris, N. Viguerie, D. Langin,
J-D. Zucker and K. Clement. Subcutaneous adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. In ECO 2008, 2008.
Note: and related to the approved synopsis S2.3.
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| A. Machado, Y. Chevaleyre and
J-D. Zucker. Experiments with Adaptive Transfer Rate in Reinforcement Learning. In PKAW, Springer, Hanoi, Vietnam, 2008.
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T-Q. Chu, A. Boucher,
A. Drogoul,
D-A. Vo,
H-P. Nguyen and
J-D. Zucker. Interactive Learning of Expert Criteria for Rescue Simulations. In D-B. The, T-V Ho and Q. Thut editors, Intelligent Agents and Multi-Agent Systems 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Vol. Vol. 5357 of Lecture Notes in Computer Science, Springer, Hanoi, Vietnam, 2008.
Note: Intelligent Agents and Multi-Agent Systems 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Hanoi, Vietnam, December 15-16, 2008, Proceedings Series: Lecture Notes in Computer Science Subseries: Lecture Notes in Artificial Intelligence , Vol. 5357 The Duy, Bui; Ho, Tuong Vinh; Ha, Quang Thuy (Eds.) 2008, XIV, 406 p., Softcover ISBN: 978-3-540-89673-9.
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| M-R. Temanni, M. Lebbah, C. Poitou-Bernert, K. Clement and
J-D. Zucker. Combinaison des cartes topologiques mixtes et des machines à vecteurs de support pour la prédiction de perte de poids chez les obèses. In Cepadues editor, EGC, Pages 143-148, Namur, Belgique, 2007.
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| Lorenza Saitta and
J-D. Zucker. Abstraction and Complexity Measures. In Wheeler Ruml editor, SARA, LLNCS, Vancouver, 2007.
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| D. Lacasa, S. Taleb, M. Keophiphath, C. Hennegar, A. Miranville,
J-D. Zucker and K. Clement. Inflammation of human preadipocytes induced by macrophage-secreted factors. In GREMI 2007, Paris, France., 2007.
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| C. Hennegar and
J-D. Zucker. A Dynamical Systems Approach for Unsupervised Multiple-Instance Learning. In Conférence francophone sur l'Apprentissage Automatique (CAp 2007), Grenoble, France., 2007.
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E. Prifti, C. Hennegar and
J-D. Zucker. Robustesse aux erreurs de traduction et centralité interactionnelle dans les réseaux génomiques. In 56th session of the International Statistical Institute, Lisbonne, 2007.
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| M-R. Temanni, S-A. Nadeem, D. Berrar and
J-D. Zucker. Aggregating Abstaining and Delegating Classifiers For Improving Classification performance: An application to lung cancer survival prediction. In The eigth international conference for the Critical Assessment of Microarray Data Analysis (CAMDA 2008)., Valencia (Spain), 2007.
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| A. Machado, Y. Chevaleyre,
J-D. Zucker and G. Ramalho. A Reinforcement Learning Approach to Tactical Simulation in Multi-Agent Systems. In AAMAS 2006 Workshop on Learning and Adaptation in Autonomous Agents and Multiagent Systems, 2006.
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| A. Machado, Y. Chevaleyre and
J-D. Zucker. Une approche multi-agent adaptative pour la simulation de schémas tactiques. In Cepadues editor, EGC, Pages 143-148, Namur, Belgique, 2006.
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| C. Hennegar, K. Clement and
J-D. Zucker. Unsupervised multiple-instance learning. An application to the functional analysis of genomic data. In Conférence francophone sur l'Apprentissage Automatique (CAp 2006), Trégastel, France., 2006. [Abstract]
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| C. Hennegar and
J-D. Zucker. « Functional regulatory mechanisms involved in modular expression networks ». In COMPSTAT 2006, Rome, Italy., 2006.
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C. Hennegar, K. Clement and
J-D. Zucker. Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. In European Conference on Machine Learning, Pages 186-197, Lecture Notes in Computer Science: ECML 2006. Springer Berlin/Heidelberg, 2006.
Note: Acceptation rate 7%.
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| C. Hennegar, K. Clement and
J-D. Zucker. Exploring underlying functional mechanisms in gene co-expression networks. In Integrative Post-Genomics Conference (IPG 2006), Lyon, France., 2006.
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| B. Hanczar and
J-D. Zucker. Analyse de données d'expression par les réseaux d'interaction d'information. In RIAMS 2006, Lyon, France, 2006.
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| M-R. Temanni and
J-D. Zucker. Combining Microarray Expression with Clinical Data to improve cancer survival prediction. In IPG 2005: Integrative Post-Genomics,International Multidisciplinary Meeting on Post-Genomics,30 November, 1st and 2d December 2005, La Doua, LYON, 2005.
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| M-R. Temanni, B. Hanczar and
J-D. Zucker. Combining microarray expression with clinical data to improve cancer survival prediction accuracy. In MIE 2005 : Medical Informatics Europe 2005, Geneva Switzerland, 2005.
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| M-R. Temanni, B. Hanczar and
J-D. Zucker. Combinaison des données d'expressions génique et des données cliniques pour améliorer la qualité de la prédiction de la survie à 5 ans de patients atteints de cancer. In JFIM 2005 : 11 èmes Journées Francophones Informatique Médicale 12 et 13 mai 2005, Lille, France, 2005.
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| M-R. Temani, B. Hanczar and
J-D. Zucker. Combining microarray expression with clinical data to improve cancer survival prediction accuracy. In MIE 2005 : Medical Informatics Europe 2005,, Geneva Switzerland, 28 August - 1 September 2005., 2005.
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| Lorenza Saitta,
J-D. Zucker and S. Mustière. An Abstraction-based Machine Learning Approach to Cartographic Generalisation. In Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pages 621-638, Pune, India., 2005.
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| C. Hennegar, R. Cancello, S. Rome, H. Vidal, K. Clement and
J-D. Zucker. Identifying putatively co-regulated biological processes relying on a co-clustering approach of gene expression data and biological annotations. In Integrative Post-Genomics Conference (IPG 2005), Lyon, France., 2005.
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| B. Hanczar and
J-D. Zucker. Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs. In Conférence d'Apprentissage CAp 2005, Pages 247-262, PUG, Nice, France, 2005.
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| A. Benis and
J-D. Zucker. DISCOCLINI : Correlations Discoveries between Gene Expression and Bioclinical Data. In IPG 2005: Integrative Post-Genomics,International Multidisciplinary Meeting on Post-Genomics,30 November, 1st and 2d December 2005, La Doua, France, 2005.
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| D. Sheeren, S. Mustière and
J-D. Zucker. How to Integrate Heterogeneous Spatial Databases in a Consistent Way? In Georg Gottlob, A. Benczúr and J. Demetrovics editors, Advances in Databases and Information Systems, 8th East European Conference, ADBIS 2004, Vol. Lecture Notes in Computer Science 3255:364-378, Springer, Budapest, Hungary, 2004.
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| D. Sheeren, S. Mustière and
J-D. Zucker. Consistency Assessment Between Multiple Representations of Geographical Databases: a Specification-Based Approach. In P. Fisher editor, Proceedings of the 11th International Symposium on Spatial Data Handling (SDH'2004), Pages 617-628, Springer-Verlag, 2004.
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| C. Hennegar, R. Cancello, N. Viguerie, S. Taleb, D. Langin, A. Basdevant,
J-D. Zucker and K. Clement. Etude de l'expression génique différentielle dans les adipocytes matures par rapport à la fraction stroma vasculaire du tissu adipeux chez l?obèse », 50ème Congres de Médecine Interne (SNFMI), Bruges, June 2004. In 50ème Congres de Médecine Interne (SNFMI), Bruges, Belgique., 2004.
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| N. Bredèche and
J-D. Zucker. WM-plic : combiner des classeurs issus de représentations différentes pour une tâche d'identification d'objets par un robot situé. In CAp'2003. Laval, France, Pages 17-29, Laval, France, 2003.
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| M. Courtine,
J-D. Zucker and K. Clement. Utilisation d'ontologie(s) en génomique fonctionnelle. In Première journée de Web Sémantique Médicale, Rennes, France, 2003.
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| M. Courtine,
J-D. Zucker and K. Clement. Caractérisation de groupe de gènes co-exprimés grâce à l'ontologie GO. In Journées de Post-Génomique de la Doua, Lyon, France, 2003.
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| M. Courtine, K. Clement and
J-D. Zucker. Exploratory characterization of coexpressed genes by conceptual clustering of their associated GO annotations: the MaGO system. In 6th International Meeting of the Microarray Gene Expression Data Society, MGED'2003, Pages (poster), Aix-en-Provence, 2003.
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| N. Bredèche,
J-D. Zucker and Z. Shi. Online learning for object identification by a mobile robot. In 5th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA-2003), Vol. 2,:630-635, Kobe, Japan,, 2003.
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| N. Bredèche, Z. Shi and
J-D. Zucker. Perceptual Learning and Abstraction in Machine Learning. In Dilip Patel, S. Patel and Yingxu Wang editors, The 2nd IEEE International Conference on Cognitive Informatics (ICCI 2003), Pages 18-25, 18-20 August 2003, London, UK. IEEE Computer Society 2003, 2003.
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J-D. Zucker, N. Bredèche and Lorenza Saitta. Abstracting Visual Percepts to learn Concepts. In Symposium on Abstraction Reformulation and Approximation, SARA'2002, Vol. 15(8):256-273, Canada, 2002.
Note: Applied Artificial Intelligence a journal from Taylor and Francis Ltd is now available online via the Catchword service, and contains the following articles: MACHINE LEARNING IN COMPUTER VISION 693 - 705 Floriana Esposito; Donato Malerba LEARNING SPATIO-TEMPORAL RELATIONAL STRUCTURES 707 - 722 Walter F. Bischof; Terry Caelli A VISION SYSTEM FOR SYMBOLIC INTERPRETATION OF DYNAMIC SCENES USING ARSOM 723 - 734 Antonio Chella; Donatella Guarino; Ignazio Infantino; Roberto Pirrone A TRAINABLE SYSTEM FOR GRADING FISH FROM IMAGES 735 - 745 Francesca Odone; Emanuele Trucco; Alessandro Verri IMPROVING THE ACCURACY OF DECISION TREE INDUCTION BY FEATURE PRESELECTION 747 - 760 Petra Perner A MODEL OF ABSTRACTION IN VISUAL PERCEPTION 761 - 776 Lorenza Saitta; Jean-Daniel Zucker VISION SYSTEM DEVELOPMENT BY MACHINE LEARNING: MASHING ASSESSMENT IN BREWING 777 - 795 Andy Song; Vic Ciesielski; Peter Rogers. [Annote]
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| A-P. Machado, A-L. Almeida, G-L. Ramalho,
J-D. Zucker and
A. Drogoul. Multi-Agent Movement Coordination in Patrolling. In First Workshop on Agents in Computer Games, at The 3rd International Conference on Computers and Games (CG'02), Edmonton, Canada, 2002.
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| A. Machado, G. Ramalho,
J-D. Zucker and
A. Drogoul. Multi-Agent Patrolling: an Empirical Analysis of Alternative Architectures. In INTERNATIONAL WORKSHOP ON MULTIAGENT BASED SIMULATION, Pages 155-170, Bolona, Italy, 2002.
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| G. Hutzler, B. Gortais, P. Joly, Y. Orlarey and
J-D. Zucker. J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement. In Hermès Science editor, Journées Francophones d'Intelligence Artificielle Distribuée et Systèmes Multi-Agents, Pages 147-150, 2002.
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Y. Chevaleyre, N. Bredèche and
J-D. Zucker. Learning Rules from Multiple-Instance Data: Issues and Algorithms. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, (IPMU), Pages 149-162, Annecy, France, 2002.
Note: Eleni Stroulia, Stan Matwin (Eds.): Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings. Lecture Notes in Computer Science 2056 Springer 2001, ISBN 3-540-42144-0.
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| N. Bredèche,
J-D. Zucker and Y. Chevaleyre. A Wrapper-Based Approach to Robot Learning Concepts from Images. In The Seventh Pacific Rim International Conference on Artificial Intelligence, National Center of Sciences, Tokyo, Japan, 2002.
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| I. Bournaud, M. Courtine and
J-D. Zucker. Propositionalization for Clustering Symbolic Relational Descriptions. In Matwin & Samut editor, International Conference on Inductive Logic Programming, Vol. LNAI 2583:1-16, Springer Verlag, Sidney, Aus., 2002.
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Y. Chevaleyre and
J-D. Zucker. Algorithmes pour l?Apprentissage de Règles a partir de Données Multi-Instances. In Conférence Apprentissage, Grenoble, France, 2001.
Note: Eleni Stroulia, Stan Matwin (Eds.): Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings. Lecture Notes in Computer Science 2056 Springer 2001, ISBN 3-540-42144-0.
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| Y. Chevaleyre and
J-D. Zucker. A framework for learning Multiple-Instance Decision Trees and Rule Sets. In Luc De Raedt and P. Flach editors, European Conference on Machine Learning, Vol. LNAI N°2167:49-60, Springer Verlag, 2001. Note: Eleni Stroulia, Stan Matwin (Eds.): Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings. Lecture Notes in Computer Science 2056 Springer 2001, ISBN 3-540-42144-0.
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Y. Chevaleyre and
J-D. Zucker. Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. In Canadian Conference on AI 2001, Pages 204-214, 2001.
Note: Eleni Stroulia, Stan Matwin (Eds.): Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings. Lecture Notes in Computer Science 2056 Springer 2001, ISBN 3-540-42144-0.
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| N. Bredèche and
J-D. Zucker. From Distributed Robot Perception To Human Topology : A Learning Model. In - DARS2000 (Distributed Autonomous Robotic Systems), 2001.
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| N. Bredèche and
J-D. Zucker. Labeling for a learning mobile robot. In AAAI Fall Symposium on Anchoring Symbols to Sensor Data in Single and Multiple Robot Systems. (position paper), 2001.
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J-D. Zucker, S. Mustière and Lorenza Saitta. Learning Abstraction and Representation Knowledge: An Application to Cartographic Generalisation. In R. Michalski and P. Bradzil editors, The fifth International Workshop on Multistrategy Learning (MSL'2000), Guimarães, Portugal, 2000.
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| J. Wang and
J-D. Zucker. Solving Multiple-Instance Problem: a Lazy Learning Approach. In Pat Langley editor, International Conference on Machine Learning, Morgan Kaufmann Publishers, Stanford, USA, 2000.
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Lorenza Saitta and
J-D. Zucker. Perception-based granularity levels in concept representation. In Z.W. Ras editor, Zbigniew W. Ras, Setsuo Ohsuga (Eds.): Foundations of Intelligent Systems, 12th International Symposium, ISMIS 2000, Pages 409-416, Springer Verlag, Charlotte, NC., 2000. [Abstract]
Note: Charlotte, NC, USA, October 11-14, 2000, Proceedings. Lecture Notes in Computer Science, Vol. 1932, Springer, 2000, ISBN 3-540-41094-5.
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| Lorenza Saitta and
J-D. Zucker. Abstraction and Phase Transitions in Relational Learning. In B. Choueiry and T. Walsh editors, Symposium on Abstraction, Reformulation and Approximation, SARA 2000, Pages 291-302, Horseshoe Bay Resort and Conference Club, Lake LBJ, Texas, 2000.
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S. Mustière,
J-D. Zucker and Lorenza Saitta. Abstraction in Cartographic Generalization. In Foundations of Intelligent Systems, 12th International Symposium, ISMIS 2000, Vol. Lecture Notes in Computer Science, Vol. 1932:638-644, Springer, 2000,, Charlotte, NC, USA, 2000.
Note: Zbigniew W. Ras, Setsuo Ohsuga (Eds.): ISBN 3-540-41094-5.
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| S. Mustière,
J-D. Zucker and Lorenza Saitta. An Abstraction-Based Machine Learning approach to Cartographic Generalization. In Spatial Data Handling 2000 (SDH), Pages 1a50-63, Beijing, CHINA, 2000.
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| S. Mustière,
J-D. Zucker and Lorenza Saitta. Abstraction et Changement de Langage pour Automatiser la Généralisation Cartographique. In RFIA'2000, Vol. I:411-418, Paris, France, 2000.
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| M. Courtine, I. Bournaud and
J-D. Zucker. KIDS: an iterative algorithm to organize relational knowledge. In O. Corby and R. Dieng editors, International Conference on Knowledge Engineering and Knowledge Management (EKAW'2000), Pages 217-232, Springer-Verlag, Lectures Notes in AI n°1937, Juan-les-Pins, French Riviera., 2000.
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| Y. Chevaleyre and
J-D. Zucker. Noise-Tolerant Rule Induction from Multi-Instance Data. In Luc De Raedt and Stefan Kramer editors, Proceedings of the ICML-2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, Pages 47-52, Stanford, USA, 2000.
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L. Breton,
J-D. Zucker and E. Clément. GranuLab : un laboratoire virtuel d'experimentations pour la decouverte scientifique en physique granulaire. In RFIA'2000, Vol. I:599-606, Paris, France, 2000.
Note: A Multi-agent approach for the resolution of equations in granular physics.
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| N. Bredèche and
J-D. Zucker. Apprentissage d'une reprèsentation humaine du monde par un robot. In JIOSC2000 (Journée Internationale d'Orsay des Sciences Cognitives, thème apprentissage)., 2000.
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| N. Bredèche and
J-D. Zucker. Apprentissage d'une représentation humaine du monde par un robot. In Journées Internationales d'Orsay sur les Sciences Cognitives (JIOSC 2000), Pages 1119-1134, Centre Scientifiques d'Orsay, 2000.
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| N. Bredèche and
J-D. Zucker. From distributed robot perception to human topology: a learning model. In Proceedings of the 5th International Symposium on Distributed Autonomous Robotic Systems (DARS'2000), Springer Verlag, 2000.
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I. Bournaud, M. Courtine and
J-D. Zucker. Abstractions for Knowledge Organization of Relational Descriptions. In B. Choueiry and T. Walsh editors, Symposium on Abstraction, Reformulation and Approximation , SARA 2000, Vol. 1864:87-106, Springer-Verlag, Lectures Notes in AI n°1864., Horseshoe Bay, Texas, USA., 2000.
Note: Berthe Y. Choueiry, Toby Walsh (Eds.): Abstraction, Reformulation, and Approximation, 4th International Symposium, SARA 2000, Horseshoe Bay, Texas, USA, July 26-29, 2000, Proceedings. Lecture Notes in Computer Science, Vol. 1864, Springer, 2000, ISBN 3-540-67839-5.
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| P. Perny and
J-D. Zucker. Collaborative Filtering Methods based on Fuzzy Preference Relations. In EUROFUSE-SIC'99, Pages 279-285, Budapest, Hungary, 1999.
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| S. Mustière,
J-D. Zucker and Lorenza Saitta. Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. In ACM/GIS'99, Pages 162-164, Texas, USA, 1999.
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| Ch. Meyer and
J-D. Zucker. Mind-Reading Machines Modélisation des adversaires et anticipation dans les jeux à information complète et imparfaite. In Journées Française de l'apprentissage, JFA'99, Palaiseau, France, 1999.
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| L. Breton,
J-D. Zucker and E. Clément. Une approche multi-agents pour la résolution d?équations en physique des milieux granulaires. In Journées Francophones de l'IA Distribué et des SMA (JFIADSMA), Pages 281-293, Hermes, Paris, La Réunion, France, 1999.
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J-D. Zucker and J-G. Ganascia. Learning Structurally Indeterminate Clauses. In The Eighth International Conference on Inductive Logic Programming (ILP'98), Pages 235-244, Madison, Wisconsin,, 1998.
Note: REPART.
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J-D. Zucker and Y. Chevaleyre. Comprendre et résoudre les problèmes d?apprentissage multi-instances et multi-parties. In 13èmes Journées Francophones sur l'Apprentissage, Arras, France, 1998.
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J-D. Zucker. Abstraction for Concept Representation. In AAAI editor, The Fourth International Workshop on Multistrategy Learning (MSL'98), Desenzano del Garda (Brescia, Italy), 1998.
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| Lorenza Saitta and
J-D. Zucker. Semantic Abstraction for Concept Representation and Learning. In AAAI editor, Symposium on Abstraction, Reformulation and Approximation (SARA98), Asilomar Conference Center, Pacific Grove, California, 1998.
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| I. Bournaud and
J-D. Zucker. Discovery in Chinese Phonetics: a Machine Learning approach. In Derek Sliman and V. Corruble editors, Workshop on Knowledge Discovery, European Conference on Artificial Intelligence, ECAI'98, Brighton, UK, 1998.
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| I. Bournaud and
J-D. Zucker. Prendre en compte la structure des descriptions dans la construction de classifications conceptuelles. In Rencontres de la Société Francophone de classification, Montpellier, France, 1998.
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| Ch. Meyer, J-G. Ganascia and
J-D. Zucker. Modélisation de stratégies humaines par Apprentissage et Anticipation génétiques. In Journées Française de l'apprentissage, JFA'97, Roscoff, France, 1997.
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| Ch. Meyer, J-G. Ganascia and
J-D. Zucker. Learning Strategies in Games by Anticipation. In International Joint Conference on Artificial Intelligence, Pages 698-703, Nagoya, Japan, 1997.
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J-D. Zucker and J-G. Ganascia. Changes of Representation for Efficient Learning in Structural Domains. In International Conference in Machine Learning, Pages 543-551, Morgan Kaufmann, Bary, Italie, 1996.
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J-D. Zucker. Reformulation of Examples in Concept Learning of Structural Descriptions. In 4th Congress of the Italian Association for Artificial Intelligence, AI*IA'95, Vol. LNAI N°992:377-388, Springer Verlag, Florence, Italie, 1995.
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J-D. Zucker. Matching-based Representation Changes for concept learning of structural descriptions. In International Workshop on Inteligent Adaptative System 95, Melbourne, Florida, 1995.
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| I. Bournaud and
J-D. Zucker. Découverte de similitudes entre objets structurés par exploration d'un espace de généralisation. In Environnements Interactifs d?Apprentissage avec Ordinateurs, Pages 67-78, Eyrolles, Cachan, 1995.
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| J. Bellassen,
J-D. Zucker, M-J. Pittore and L. Marnef. The Chinese, Didactics and New Technologies tripod: An academic initiative : the CDT group. In International Conference on New Technologies in Teaching and Learning Chinese, San Francisco, USA, 1995.
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J-D. Zucker and J-G. Ganascia. Selective Reformulation of Examples in Concept Learning. In W. Cohen editor, International Conference on Machine Learning, Pages 352-360, Morgan Kaufmann Publishers, New-Brunswick, 1994.
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J-D. Zucker and J-G. Ganascia. REMO: A moriological approach to representation shift in Concept Learning. In Pacific Rim International Conference on Artificial Intelligence, 1994.
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J-D. Zucker and J-G. Ganascia. Une approche moriologique de la reformulation d'exemples en apprentissage. In Neuvième Journées Française de l?Apprentissage, Pages I1-I14, Strasbourg, 1994.
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J-D. Zucker, V. Corruble, J. Thomas and G. Ramalho. DICE: a Discovery Environment integrating Inductive Bias. In AAAI-94, Workshop on Knowledge Discovery in Databases, Seattle, USA, 1994.
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J-D. Zucker and I. Bournaud. Généralisation inductive et changement de représentation de connaissances structurées. In Premier Colloque Jeunes Chercheurs en Sciences Cognitives, Pages 257, ARC et In Cognito, Grenoble, 1994.
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| V. Corruble,
J-D. Zucker, J. Thomas and G. Ramalho. DICE: un environnement pour la decouverte. In Secondes Rencontres des Jeunes Chercheurs en Itelligence Artificielle, Pages 127--134, Marseille, 1994.
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| I. Bournaud and
J-D. Zucker. Détection de Similarités dans un environnement didactique. In Secondes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Marseille, 1994.
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J-D. Zucker and J. Mathieu. Machine Learning Contributions to a Guided Discovery Tutoring Environment for Chinese Characters. In International Conference on Computers in Education, Pages 25-30, Taipei, Taiwan R.O.C., 1993.
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J-D. Zucker, I. Bournaud, J. Mathieu and J. Bellassen. MEMOCAR: Un environnement coopératif d?apprentissage par la découverte des caractères chinois. In Sciences Cognitives Informatique et Apprentissage des Langues,, Clermont-Ferrand., 1993.
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| F. Oquendo,
J-D. Zucker and Ph. Griffiths:. A Meta-CASE Environment for Software Process-Centred CASE Environments. In CAiSE 1992, Pages 568-588, 1992.
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J-D. Zucker. ALF: Accueil de Logiciel Futur. In International Conference on Software Engineering Environments (SEE'91), Pages 21-52, Aberystwyth, Wales, 1991.
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| J-C. Derniame and
J-D. Zucker. La construction d'ateliers de logiciels en partant de modèles de procédés. In UNIVERDUSTRIE, Pages 23-38, Nancy, 1991.
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J-D. Zucker. Advanced Software Engineering Environment Logistics Framework. In ESPRIT'90 conference, Brussels, Belgium, 1990.
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| F. Oquendo,
J-D. Zucker and Ph. Griffiths. ALF: a Generic Software Process-centered CASE Environment. In Fourth International Workshop on Computer-aided Software Engineering, Irvine, CA, 1990.
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| F. Oquendo and
J-D. Zucker. ALF: a Generic Software Process-centered CASE Environment. In TOOLS'90, Toulouse,France, 1990.
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J-D. Zucker. Advanced Software Engineering Environment Logistics Framework. In ESPRIT'89 conference, Brussels, Belgium, 1989.
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J-D. Zucker. ALF: Accueil de Logiciel Futur. In European CASE and Sofware Quality conference, Milano, Italy, 1989.
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Thèses
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J-D. Zucker. Changements de représentation, Abstractions et Apprentissages. PhD thesis, Mémoire d'habilitation à diriger des recherches, Université Pierre et Marie Curie, 2001.
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J-D. Zucker. Appariements et Changements de Représentation pour l'Apprentissage Symbolique. PhD thesis, Thèse de Docteur en Sciences (PhD. Thesis), Spécialité Informatique, Université Pierre et Marie Curie, 1996.
Note: matching.
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Rapports de recherche
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J-D. Zucker and Y. Chevaleyre. Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis. Technical report, 2000-18, LIP6, 2000.
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A. Drogoul and
J-D. Zucker. Le rôle de l?apprentissage automatique dans la conception de systèmes multi-agents. Technical report, Rapport technique du LIPN, Université Paris-Nord, France., 2000.
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| Y. Kodratoff and
J-D. Zucker. Rapport sur les environnements KDD. Technical report, 1999.
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A. Drogoul and
J-D. Zucker. Methodological Issues for Designing Multi-Agent Systems with Machine Learning Techniques: Capitalizing Experiences from the RoboCup Challenge. Technical report, Technical Report 42, LIP6 - University of Paris 6, 1998.
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