Journal Publication

  • P. Perner, Big data, Decision Tree Induction, and Image Analysis for the Discovery of Decision Rules for Colon Examination,
    Journal on Tissue Science and Engineering December 2016, Volume 7, Issue3, ISSN:2157-7552, (suppl.), http://dx.doi.org/104172/2157 7552.C1.026, page 34
  • Quantitative measurement of cellular events with image processing and data mining for drug discovery, therapy, and system biology,
    P. Perner, Journal of Proteomics Bioinform, 9:11, http.//dx.doi. org/10.4172/0974-276X.C1:090
  • A Method for Supporting the Domain Expert by the Interpretation of Different Decision Trees Learnt from the Same Domain
    P. Perner
    Journal Quality and Reliability Engineering 11/2014; 30(7)
  • A Novel Method for the Interpretation of Spectrometer Signals Based on Delta-Modulation and Similarity Determination
    P. Perner, A. Attig and O. Machno
    Transactions on Mass-Data Analysis of Images and Signals 3(1), September 2011
  • The Problem of Normalization and a Normalized Similarity Measure by Online Data
    A. Attig and P. Perner
    Transactions on Case-Based Reasoning, 4 (1), October 2011, p. 3-17
  • Mining Colorectal Polyp Images for Colon Examination based on Texture Description and Decision Tree Induction
    P. Perner and A. Attig
    Transactions on Machine Learning and Data Mining, 4(2), October 2011, p.96-115
  • Fuzzy conceptual clustering
    P. Perner and A. Attig
    Quality and Reliability Engineering International 26 (8), December 2010, p. 909-922
  • Prototype-Based Classification for Automatic Knowledge Acquisition of Pathological Processes at the Cellular Level
    P. Perner and A. Attig
    Transactions on Mass-Data Analysis of Images and Signals 2(1), September 2010
  • Incremental Learning of Statistical Models from a temporal Data Stream - An MML-Based Approach"
    J. Feng, A. Attig, M. Schwarz and P. Perner
    Transactions on Machine Learning and Data Mining, 3(1), July 2010
  • An Approach for Data Mining in Drug Development based on Decision Tree Clustering and Classification
    S. Schmiedel, H. Zhang, O. Machnow and P. Perner
    Transactions on Machine Learning and Data Mining, 3(1), July 2010
  • Mining 3D Biological Images in order to Construct a Landscape Model of Biological Objects S. Schmidt, T. Yuan, C. Schatte and P. Perner
    Transactions on Machine Learning and Data Mining, 3(1), July 2010
  • Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications,
    S. Little, S. Colantonio, O. Salvetti and P. Perner, J. Software Engineering & Applications, 3, Januar 2010, p. 39-49
  • A Study on the Case Image Description for Learning the Model of the Watershed Segmentation,
    A. Attig and P. Perner, International Journal Transactions on Case-Based Reasoning, 2 (1), October 2009, p. 41-53, (ISSN:1867-366X)
  • Diagnosis of Lymphatic Tumors by Case-Based Reasoning on Microscopic Images,
    S. Colantonio, P. Perner, and O. Salvetti, International Journal Transactions on Case-Based Reasoning, 2 (1), October 2009, p. 29-40, (ISSN:1867-366X)
  • Flexible High-Content Image Analysis System for the Automatic Image Analysis and Interpretation of Cell Images - Computerized Methods in System Biology,
    P. Perner, International Journal Transactions on Mass-Data Analysis of Images and Signals, 1 (2), September 2009, p. 113-131 (ISSN:1868-6451)
  • Automated classification of Immunofluorescence staining of HEp-2 cells in Clinical Routine Diagnostics,
    Ch. Plata, H. Perner, S. Speth, K. J. Lackner and P. von Landenberg, International Journal Transactions on Mass-Data Analysis of Images and Signals, 1 (2), September 2009, p. 147-159 (ISSN:1868-6451)
  • Health Monitoring by Image Acquisition and Analysis of Hazardous Biological Material in Air - A System for Airborne Fungi Identification,
    P. Perner, International Journal Transactions on Mass-Data Analysis of Images and Signals, 1 (2), September 2009, p. 160-177 (ISSN:1868-6451)
  • Learning of Shape Models from Exemplars of Biological Objects in Images,
    P. Perner and S. Jänichen, International Journal Transactions on Mass-Data Analysis of Images and Signals, 1 (2), September 2009, p. 198-209 (ISSN:1868-6451)
  • Content-Based Image Indexing and Retrieval in an Image Database for Technical Domains,
    M. Ewald, International Journal Transactions on Machine Learning and Data Mining, 2(1), July 2009, p.3-22, (ISSN: 1865-6781)
  • Mining Knowledge for Differential Diagnosis of Pulmonary Nodules,
    C. Seifert and A. Ahlemeyer-Stubbe, International Journal Transactions on Machine Learning and Data Mining, 2(1), July 2009, p.23-43, (ISSN: 1865-6781)
  • Can Prototype-Based Classification be a good Method for Biomedical Applications?,
    S. Little, S. Colatino, O. Salvetti and P. Perner, International Journal Transactions on Machine Learning and Data Mining, 2(1), July 2009, p.44-61, (ISSN: 1865-6781)
  • Necessity for Standardization in Fluorescence Pattern Analysis,
    P. Perner, Imaging and Microscopy, vol. 11, March 2009, p. 20
  • Case-based-reasoning for image segmentation
    Frucci, M., Perner, P., Di Baja, G.S. International Journal of Pattern Recognition and Artificial Intelligence, 22 (5), pp. 829-842
  • 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,
    Computational Intelligence, Volume 25, Issue 3, Date: August 2009, Pages: 250-263
  • Concepts for novelty detection and handling based on a case-based reasoning process scheme
    Engineering Applications of Artificial Intelligence, Volume 22, Issue 1, February 2009, Pages 86-91
  • Case-based reasoning and the statistical challenges
    Petra Perner Journal Quality and Reliability Engineering International Volume 24 Issue 6 (October 2008), p 705-720
  • Automatic Quality Control of Sereals - Image Acquisition and Intelligent Image Analysis,
    P. Perner, G.I.T. Imaging & Microscopy, vol. 10, 06/2008, S. 62-64. GIT Labor-Fachzeitschrift 4/2008, p. 406-408
  • A general approach to shape characterisation for biomedical problems,
    D. Moroni, P. Perner, O. Salvetti, Int. J. Signal and Imaging Systems Engineering, Vol. 1, No. 1, 2008, p. 30-35
  • Air Quality Control for Hazardous Bio-Material,
    P. Perner, G.I.T. Imaging & Microscopy 04/2007, S. 62-64.
  • Prototype-Based Classification
    P. Perner, Applied Intelligence 28(3): 238-246 (2008)
  • Conceptual Clustering and Case Generalization of two-dimensional Forms,
    S. Jaenichen and P. Perner, Computational Intelligence, Volume 22, Number 3/4, 2006, p. 178-193
  • Image Processing in Case-Based Reasoning,
    P. Perner, Alec Holt, Michael Richter, The Knowledge Engineering Review, Vol. 20:3, 311-314
  • Emergent case-based reasoning applications,
    Ramon Lopez De Mantaras, Padraig Cunningham, Petra Perner, The Knowledge Engineering Review, Vol. 20:3, 325 - 328
  • Medical applications in case-based reasoning,
    Alec Holt, Isabelle Bichindaritz, Rainer Schmidt, Petra Perner, The Knowledge Engineering Review, Vol. 20:3, 289 - 292
  • Case-base maintenance by conceptual clustering of graphs,
    P. Perner, Engineering Applications of Artificial Intelligence, vol. 19, No. 4, 2006, pp. 381-295
  • Flexible High-Content Analysis: Automatic Image Analysis and Image Interpretation of Cell Pattern,
    P. Perner,G.I.T. Imaging & Microscopy, 1/2006, p. 2-3, also in BIOforum Europe, vol. 10, April 2004, p. 58-60
  • Case-based object recognition for airborne fungi recognition,
    P. Perner, S. Jänichen, and H. Perner, Journal Artificial Intelligence in Medicine AIM, Special Issue on CBR, Volume 36, Issue 2 , February 2006, p. 137-157 (available on-line 3 October 2005)
  • Image Mining: Issues, framework, a generic tool and its application to medical-image diagnosis,
    P. Perner, Journal Engineering Applications of Artificial Intelligence, Vol. 15/2, pp. 193-203, PDF-File
  • Are case-based reasoning and dissimilarity-based classification two sides of the same coin?,
    P. Perner, Journal Engineering Applications of Artificial Intelligence, Vol. 15/2, pp. 205-216, PDF-File
  • Mining Knowledge for Hep-2 Cell Image Classification,
    P. Perner, H. Perner, B. Müller, Journal Artificial Intelligence in Medicine, 26 (2002), pp. 161-173, PDF-File
  • Improving the Accuracy of Decision Tree Induction by Feature Pre-Selection,
    P. Perner, Applied Artificial Intelligence, Vol. 15, No. 8, p. 747-760, PDF-File
  • A Comparision between Neural Networks and Decision Trees based on Data from Industrial Radiographic Testing,
    P. Perner, U. Zscherpel, C. Jacobsen, Pattern Recognition Letters 22 (2001), pp. 47-54, PDF-File
  • An Architeture for a CBR Image Segmentation System,
    P. Perner, Journal on Engineering Application in Artificial Intelligence, Engineering Applications of Artificial Intelligence Vol. 12 (6), 1999, pp. 749-759, PDF-File
  • Wissenakquisition in der medizinischen Diagnose mittels Induktion von Entscheidungsbäumen,
    P. Perner, S. Trautzsch, Zeitschrift Künstliche Intelligenz, 3 (1997), S. 32-33
  • Knowledge-Based Image Inspection System for Automatic Defect Recognition, Classification and Process Diagnosis,
    P. Perner, Machine Vision and Applications, 7 (1994), pp. 135-147
  • Einsatz eines Expertensystems zur Diagnose von Druckfehlern im Offsetdruck,
    U. Klapproth, P. Perner, B. Böhme, messen steuern regeln, Berlin 34 (1991) 3, S. 115-120
  • Wissensbasiertes Diagnosesystem für die optoelektronische Qualitätskontrolle in Fertigungsprozessen,
    P. Perner, B. Böhme, messen steuern regeln, Berlin 33 (1990) 12, S. 543-547
  • Parallele E/A Platine für IBM-PC,
    P. Perner, W. Haselbauer, radio fernsehen elektronic, 9 (1989)
  • Eingabe von ebenen Kurven in den Speicher eines Mikrorechners über einen Oszillographen,
    P. Perner, W.Schwarz, Feingerätetechnik, Berlin 32 (1983) 8
  • Möglichkeiten der redundanzarmen Abspeicherung von Bewegungsdaten für Industrieroboter,
    J. Geiler, P. Perner, Wissenschaftliche Arbeiten, 3 (1983), S. 29-35
journal © Prof. Dr. Petra Perner journal © Prof. Dr. Petra Perner