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Petra Perner: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Petra Perner
    Similarity-based image segmentation for determination of brain / liquor ratio in CT image by Alzheimer Dementia. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1998, pp:- [Conf]
  2. Petra Perner
    Application of Knowledge-Based Image Inspection System for Diagnosis of Misprints in Offsetprinting. [Citation Graph (0, 0)][DBLP]
    CAIP, 1993, pp:738-749 [Conf]
  3. Petra Perner
    Case Based Reasoning for Image Interpretation. [Citation Graph (0, 0)][DBLP]
    CAIP, 1995, pp:532-537 [Conf]
  4. Petra Perner
    Case-Based Object Recognition with Application to Biological Images. [Citation Graph (0, 0)][DBLP]
    CIARP, 2006, pp:27-37 [Conf]
  5. Silke Jänichen, Petra Perner
    Case Acquisition and Case Mining for Case-Based Object Recognition. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2004, pp:616-629 [Conf]
  6. Petra Perner
    Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation. [Citation Graph (0, 0)][DBLP]
    EWCBR, 1998, pp:251-261 [Conf]
  7. Petra Perner, Angela Bühring
    Case-Based Object Recognition. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2004, pp:375-388 [Conf]
  8. Petra Perner, Horst Perner, Bernd Müller
    Similarity Guided Learning of the Case Description and Improvement of the System Performance in an Image Classification System. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2002, pp:604-612 [Conf]
  9. Petra Perner
    CBR-Based Ultra Sonic Image Interpretation. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:479-490 [Conf]
  10. Petra Perner
    A Comparative Study of Catalogue-Based Classification. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2006, pp:301-308 [Conf]
  11. Silke Jänichen, Petra Perner
    Learning of general cases. [Citation Graph (0, 0)][DBLP]
    ICCBR Workshops, 2005, pp:52-61 [Conf]
  12. Petra Perner
    Why Case-Based Reasoning Is Attractive for Image Interpretation. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2001, pp:27-43 [Conf]
  13. Petra Perner
    Incremental Learning of Retrieval Knowledge in a Case-Based Reasoning System. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2003, pp:422-436 [Conf]
  14. Petra Perner
    An Architecture for a CBR Image Segmentation System. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1999, pp:525-534 [Conf]
  15. Petra Perner, Horst Perner, Angela Bühring, Silke Jänichen
    Mining Images to Find General Forms of Biological Objects. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2004, pp:60-68 [Conf]
  16. Petra Perner
    Controlling the Segmentation Parameters by Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3975-3978 [Conf]
  17. Petra Perner, Horst Perner, Silke Jänichen, Angela Bühring
    Recognition of Airborne Fungi Spores in Digital Microscopic Images. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:566-569 [Conf]
  18. Petra Perner, Horst Perner, Bernd Müller
    Texture Classification Based on the Boolean Model and its Application to Hep-2 Cells. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:406-409 [Conf]
  19. Davide Moroni, Petra Perner, Ovidio Salvetti
    A General Approach to Shape Characterization for Biomedical Problems. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining - Workshops, 2006, pp:56-65 [Conf]
  20. Petra Perner
    Data Mining and E-Commerce. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2001, pp:1-12 [Conf]
  21. Petra Perner, G. Fiss
    Intelligent E-marketing with Web Mining, Personalization, and User-Adpated Interfaces. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2002, pp:37-52 [Conf]
  22. Petra Perner, Thomas Günther
    Detection of Hygiene-relevant Parameters from Cereal Grains based on Intelligent Image Interpretation and Data Mining. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining - Workshops, 2006, pp:130-137 [Conf]
  23. Meike Reichle, Petra Perner, Klaus-Dieter Althoff
    Data Preparation of Web Log Files for Marketing Aspects Analyses. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:131-145 [Conf]
  24. Petra Perner
    Classificaiton of HEp-2 Cells Using Fluorescent Image Analysis and Data Mining. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2001, pp:219-224 [Conf]
  25. Petra Perner, Thomas Günther, Horst Perner, G. Fiss, R. Ernst
    Health Monitoring by an Image Interpretation System - A System for Airborne Fungi Identification. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2003, pp:62-74 [Conf]
  26. Petra Perner
    Motion Tracking of Animals for Behavior Analysis. [Citation Graph (0, 0)][DBLP]
    IWVF, 2001, pp:779-786 [Conf]
  27. Petra Perner, Thomas Günther
    Detection of Hygiene-relevant Parameters from Cereal Grains based on Intelligent Image Interpretation and Data Mining. [Citation Graph (0, 0)][DBLP]
    LWA, 2005, pp:216-219 [Conf]
  28. Petra Perner
    Content-Based Image Indexing and Retrieval in an Image Database for Technical Domains. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Analysis and Retrieval, 1998, pp:207-223 [Conf]
  29. Petra Perner
    Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? [Citation Graph (0, 0)][DBLP]
    MLDM, 2001, pp:35-51 [Conf]
  30. Petra Perner, Tatjana P. Belikova
    A Hybrid Tool for Data Mining in Picture Archiving System. [Citation Graph (0, 0)][DBLP]
    MLDM, 2001, pp:141-156 [Conf]
  31. Carsten Jacobsen, Uwe Zscherpel, Petra Perner
    A Comparison between Neural Networks and Decision Trees. [Citation Graph (0, 0)][DBLP]
    MLDM, 1999, pp:144-158 [Conf]
  32. Silke Jänichen, Petra Perner
    Acquisition of Concept Descriptions by Conceptual Clustering. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:153-162 [Conf]
  33. Petra Perner, Chidanand Apté
    Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:575-580 [Conf]
  34. Silke Jänichen, Petra Perner
    Learning of General Cases. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:774-779 [Conf]
  35. Silke Jänichen, Petra Perner
    Aligning Concave and Convex Shapes. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:243-251 [Conf]
  36. Petra Perner, Tatjana P. Belikova, Nadeszda I. Yashunskaya
    Knowledge Acquisition by Symbolic Decision Tree Induction for Interpretation of Digital Images in Radiology. [Citation Graph (0, 0)][DBLP]
    SSPR, 1996, pp:208-219 [Conf]
  37. Petra Perner, Silke Jänichen
    Learning of Form Models from Exemplars. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:153-161 [Conf]
  38. Petra Perner, Sascha Trautzsch
    Multi-interval Discretization Methods for Decision Tree Learning. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:475-482 [Conf]
  39. Petra Perner
    Improving the Accuracy of Decision Tree Induction by Feature Presentation. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:8, pp:747-760 [Journal]
  40. Petra Perner
    Intelligent data analysis in medicine - Recent advances. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:1, pp:1-5 [Journal]
  41. Petra Perner, Silke Jänichen, Horst Perner
    Case-based object recognition for airborne fungi recognition. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:36, n:2, pp:137-157 [Journal]
  42. Petra Perner, Horst Perner, Bernd Müller
    Mining knowledge for HEp-2 cell image classification. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:26, n:1-2, pp:161-173 [Journal]
  43. Petra Perner
    Data Mining - Concepts and Techniques. [Citation Graph (0, 0)][DBLP]
    KI, 2002, v:16, n:1, pp:77- [Journal]
  44. Petra Perner, Sascha Trautzsch
    Wissensakquisition in der medizinischen Diagnose mittels Induktion von Entscheidungsbäumen. [Citation Graph (0, 0)][DBLP]
    KI, 1997, v:11, n:3, pp:32-33 [Journal]
  45. Petra Perner, Uwe Zscherpel, Carsten Jacobsen
    A comparison between neural networks and decision trees based on data from industrial radiographic testing. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:1, pp:47-54 [Journal]
  46. Maria Petrou, Petra Perner
    Preface - Machine Learning and Data Mining in Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:1, pp:1- [Journal]
  47. Maria Frucci, Petra Perner, Gabriella Sanniti di Baja
    Watershed Segmentation Via Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    BVAI, 2007, pp:244-253 [Conf]
  48. Maria Frucci, Petra Perner, Gabriella Sanniti di Baja
    Watershed Segmentation Via Case-Based Reasoning. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2007, pp:419-432 [Conf]
  49. Petra Perner
    Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2007, pp:21-33 [Conf]
  50. Suzanne Little, Ovidio Salvetti, Petra Perner
    Semi-Automatic Semantic Annotation of Images. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:113-118 [Conf]

  51. Evaluating a Case-Based Classifier for Biomedical Applications. [Citation Graph (, )][DBLP]


  52. Life cell tracking in microscopic images for high-content screening. [Citation Graph (, )][DBLP]


  53. Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications. [Citation Graph (, )][DBLP]


  54. Case-Based Reasoning and the Statistical Challenges. [Citation Graph (, )][DBLP]


  55. Semi-Automatic Semantic Annotation of Images. [Citation Graph (, )][DBLP]


  56. Fuzzy Conceptual Clustering. [Citation Graph (, )][DBLP]


  57. Semi-automatic Semantic Tagging of 3D Images from Pancreas Cells. [Citation Graph (, )][DBLP]


  58. A General Approach to Shape Characterization for Biomedical Problems. [Citation Graph (, )][DBLP]


  59. Automatic Quality Control of Cereals in Particular Wheat-Subtask Detection of Hygiene-Relevant Parameters. [Citation Graph (, )][DBLP]


  60. Image Acquisition and Analysis of Hazardous Biological Material in Air. [Citation Graph (, )][DBLP]


  61. Novel Computerized Methods in System Biology -Flexible High-Content Image Analysis and Interpretation System for Cell Images. [Citation Graph (, )][DBLP]


  62. Ultra Sonic Image Interpretation for Non-Destructive Testing. [Citation Graph (, )][DBLP]


  63. Similarity-Based Motion Tracking of Cells in Microscopic Images. [Citation Graph (, )][DBLP]


  64. Prototype-based classification. [Citation Graph (, )][DBLP]


  65. Novelty Detection and In-Line Learning of Novel Concepts According to a Case-Based Reasoning Process Schema for High-Content Image Analysis in System Biology and Medicine. [Citation Graph (, )][DBLP]


  66. Conceptual Clustering and Case Generalization of Two-Dimensional Forms. [Citation Graph (, )][DBLP]


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