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Sélection de publications de
membres du Lim&Bio (Impact Factors)

2007

  1. Hanczar  B, Henegar C, Saitta L, Zucker JD. Feature construction from synergic pairs to improve microarray-based classification. Bioinformatics, 2007;23(21):2866-72.
     
  2. Duclos C, Nobécourt J, Venot A A bacteria ontology to help physicians to compare antibacterial spectra AMIA Annu Symp Proc 2007.
     
  3. Cuggia M, Darmoni SJ, Garcelon N, Soualmia LF, Bourde A. Doc'UMVF: two Search Tools to provide Quality-Controlled Teaching Resources in French to Students and Teachers; International Journal of Medical Informatics Vol 76/5-6;pp 357-62 (2007).
     
  4. Lamy JB, Duclos C, Venot A. Graphical representation of medical knowledge. Brevet international.
    PCT WO2007/131932, Université Paris13.
     
  5. Choleau C, Albisser AM, Bar-Hen A, Bihan H, Campinos C, Gherbi Z, Jomaa R, Aich M,  Cohen R, Reach G :  A Novel Method for Assessing Insulin Dose Adjustments by Diabetic Patients. Journal of Diabetes Science and Technology,  2007, 1:1, 3-7.

2006

  1. Hennegar, C., R. Cancello, S. Rome, H. Vidal, K. Clément and J.-D. Zucker (2006). "Clustering biological annotations and gene expression data to identify putatively co-regulated biological processes." Journal of Bioinformatics and Computational Biology (JBCB) 4(4).
  2. Bouaud J,  Séroussi B, Falcoff H, Venot A,. Design Factors for Success or Failure of Guideline-Based Decision Support Systems: an Hypothesis Involving Case Complexity. AMIA Annu Symp Proc. 2006
  3. Ebrahiminia V, Riou C, Seroussi B, Bouaud J, Dubois S, Falcoff  H, Venot A. Design of a Decision Support System for Chronic Diseases Coupling Generic Therapeutic Algorithms with Guideline-Based Specific Rules. Stud Health Technol Inform. 2006;124:483-8.
  4. Henegar, C., K. Clément and J.-D. Zucker (2006). Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. . European Conference on Machine Learning

2005

  1. Lamy JB, Duclos C, Rialle V, Venot A Which Graphical Approaches should be Used to Represent Medical Knowledge? Stud Health Technol Inform. 2005;116:719-24.
  2. Cancello, R., C. Henegar, 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 (2005). "Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss." Diabetes 54(8): 2277-86.
  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. Ebrahiminia V, Duclos C, Toussi ME, Riou C, Cohen R, Venot A. Representing the Patient's Therapeutic History in Medical Records and in Guideline Recommendations for Chronic Diseases Using a Unique Model. Stud Health Technol Inform 2005;116:101-6
  5. Bousquet C, Lagier G, Lillo-Le Louët A, Le Beller C, Venot A, Jaulent MC  Appraisal of MedDRA conceptual structure for describing and grouping adverse drug reactions. Drug Safety  2005;28(1):19-34.
    1. Taleb, S., D. Lacasa, J. Bastard, C. Poitou, R. Cancello, V. Pelloux, N. Viguerie, A. Benis, J. Zucker, J. Bouillot, C. Coussieu, A. Basdevant, D. Langin and K. Clement (2005). "Cathepsin S, a novel biomarker of adiposity: relevance to atherogenesis. ." FASEB J.  19(11): 1540-2.
    2. Bar-Hen, Ph. Broët, C. Dalmasso, J.-J. Daudin, S. Robin (2005) : False discovery rate. Accepté dans Encyclopedia of Biopharmaceutical Statistics. 2nd Edition. Marcel Dekker, Inc. New York. Ed. S.C. Chow

    2004

    1. Viguerie, N., 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 (2004). "In vivo epinephrine-mediated regulation of gene expression in human skeletal muscle." J Clin Endocrinol Metab 89(5): 2000-14.
    2. Duclos C, Cartolano GL, Ghez M, Venot A. Structured representation of the pharmacodynamics section of the summary of product characteristics for antibiotics; application for automated extraction and visualization of their antimicrobial activity spectra. Journal of the American Medical Informatics Association, 2004, 11:285-293.
    3. 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: 252-27.

    2003

    1. Hanczar B, Courtine M, Benis A, Hennegar C, Clément K, Zucker JD. Improving classification of microarray data using prototype based feature selection. ACM SIGKDD Explorations, Special issue on micro-array, (5)2:21-28, 2003.
    2. Duclos C, Venot A. Building and evaluation of a structured representation of SPC's drug information about pharmacokinetics: from existing conceptual views of pharmacokinetics associated to natural language processing to object oriented design. Journal of the American Medical Informatics Association, 2003, 10:271-80
    3. ZUCKER, J-D. A grounded theory of abstraction in artificial intelligence, in Philosophical Transactions: Biological Sciences, 358:1293-309. (July 2003). DOI: 10.1098/rstb.2003.1308
    4. BREDECHE, N., CHEVALEYRE, ZUCKER, DROGOUL & SABAH. "A meta-learning approach to anchor visual percepts." Robotics and Autonomous System Journal (special issue on Anchoring Symbols to Sensor Data in Single and Multiple Robot). 2003;43:149-162..

    2002

    1. Mustière, S. and J.-D. Zucker (2002). Généralisation Cartographique et apprentissage automatique à partir d'exemples. Généralisation et Représentations Multiples. A. Ruas (Eds). Paris, Hermès. Chapitre 20: 353-368.
    2. Bournaud, I., M. Courtine, et J-D. Zucker (2002). Propositionalization for Clustering Symbolic Relational Descriptions. International Conference on Inductive Logic Programming (ILP'2002), Sidney, Aus.
    3. Zucker , J.-D., N. Bredèche, et L. Saitta (2002). Abstracting Visual Percepts to learn Concepts. Symposium on Abstraction Reformulation and Approximation, SARA'2002, Canada.

    2001

    1. SEROUSSI B, BOUAUD J, DREAU H, FALCOFF H, RIOU C, JOUBERT M, SIMON C, SIMON G, VENOT A. ASTI, a Guideline-Based Drug-Ordering System for Primary Care. MEDINFO 2001 : p 528-32, 2001.
    2. LIU JH AND VENOT A. Design of a computerized system for the retrospective analysis by the physician of his own drug prescriptions. MEDINFO 2001 : p 1175-9, 2001.
    3. Zucker , J.-D. (2001). Changements de représentation, Abstractions et Apprentissages.Mémoire d'habilitation à diriger des recherches, LIP6. Paris, Université Pierre et Marie Curie. HDR.pdf
    4. Saitta, L. and J.-D. Zucker (2001). “A Model of Abstraction in Visual Perception.” Special Issue on "Machine Learning in Computer Vision" ,volume 15, No. 8, of the "Applied Artificial Intelligence journal". 15(8).

    2000 et avant

    1. DUCLOS C. AND VENOT A. Structured representation of drug indications: lexical and semantic analysis and object oriented modelling. Meth. Inform. Med., 39(1) : p 83-87, 2000.
    2. Wang, Jun, J.-D. Zucker (2000). Solving the Multiple-Instance Problem: A Lazy Learning Approach. International Conference in Machine Learning (ICML'2K), Morgan Kauffman. abstract. ICML2K.pdf
    3. Bournaud, I., M. Courtine and J.-D. Zucker (2000). Abstractions for Knowledge Organization of Relational Descriptions. in Symposium on Abstraction, Reformulation and Approximation , (SARA 2000). Horseshoe Bay Resort and Conference Club, Lake LBJ, Texas.
    4. Chevaleyre, Y. and J.-D. Zucker (2000). Noise-Tolerant Rule Induction from Multi-Instance Data. Proceedings of the ICML-2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries", L. D. Raedt and S. Kramer Eds, Stanford, USA.ICMLWRK.pdf
    5. COSTE J. AND VENOT A. An epidemiologic approach to drug prescribing quality assessment: a study in primary care practice in France. Med. Care, 37 (12) : p. 1294-1307, 1999.
    6. VENOT A. AND DUCLOS C. Methodology for the analysis and representation of the medical information about drugs. Proc. AMIA Symp., p. 166-170, 1999.
    7. LIU J. H., MILSTEIN C., SÉNÉ B. AND VENOT A. Object oriented modelling and terminologies for drug contra-indications. Meth. Inform. Med., 37 : p. 45-52, 1998.
    8. COSTE J., SÉNÉ B., MILSTEIN C., BOUÉE S. AND VENOT A. Indicators for automated analysis of drug prescribing quality. Meth. Inform. Med., 37 : p. 38-44, 1998.
    9. SÉNÉ B., VENOT A., DE ZEGHER I., MILSTEIN C. AND STRAUCH G. A general model of drug prescription. Meth. Inform. Med., 34 : p. 310-317, 1995.
    10. MILSTEIN C., DE ZEGHER I., PIETRI P., DAHLBERG B., SÉNÉ B. AND VENOT A. Modelling drug information for a prescription oriented knowledge base on drugs. Meth. Inform. Med., 34 : p. 318-327, 1995.
    11. DE ZEGHER I., VENOT A., MILSTEIN C., SÉNÉ B., DE CAROLIS B. AND PIZZUTILO S. OPADE: Optimization of Drug Prescription Using Advanced Informatics. Comp. Methods Programs Biomed., 45 : p. 131-136, 1994
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