Reviewed Publications in Conference Proceedings

  • Iris Recognition and What is Next? Iris Diagnosis - A New Challenging Topic for Machine Vision from Image Acquisition to Image Interpretation
    P. Perner, Proceedings 9th International Conference on Machine Vision; Nov. 18th-20th, 2016, NIce, SPIE Publication
  • Representation of 1-D Signals by a 0_1 Sequence and Similarity-Based Interpretation: A Case-Based Reasoning Approach,
    P. Perner, Eds: Perner, P., Machine Learning and Data Mining in Pattern Recognition Volume 9729 of the series Lecture Notes in Computer Science, pp 728-739
  • System Architecture and Functions of Internet-Based Production of Tailor-Made,
    P. Perner, Eds: Giuseppe De Pietro, Luigi Gallo, Robert J. Howlett, Lakhmi C. Jain, Intelligent Interactive Multimedia Systems and Services 2016, Volume 55 of the series Smart Innovation, Systems and Technologies, pp 557-566
  • Smart Spaces for On-line Tailor-Made Production of Clothes,
    P. Perner, 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp 790 - 795, IEEE publishing, ISBN 978-1-5090-2460-5
  • Tracking Living Cells in Microscopic Images and Description of the Kinetics of the Cells,
    P. Perner, Eds: Liya Ding, Charles Pang, Leong Mun Kew, Lakhmi C. Jain and Robert J. Howlett, Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings, Procedia Computer Science Volume 60, p. 352-361 (2015)
  • Case-Based Reasoning for Spectrometer Signal Analysis
    P. Perner, In: P. Perner, Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry 10th International Conference MDA 2015,Hamburg, Germany, July 2015, p. 58-59
  • Cognitive Aspects of Object Recognition Recognition of Objects by Texture,
    P. Perner, Eds: Liya Ding, Charles Pang, Leong Mun Kew, Lakhmi C. Jain and Robert J. Howlett, Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings, Procedia Computer Science Volume 60, p. 391-3402 (2015)
  • Standardization in Iris Diagnosis,
    P. Perner Eds: Piotr Jedrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland 24-26 June 2015, 978-1-4799-8322-3/15/ 2015 IEEE
  • Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining,
    P. Perner, In: P. Perner (Eds.), Machine Learning and Data Mining in Pattern Recognition, lnai 9166, Springer Verlag, 2015
  • New Methods for Big Data Analysis in Images,
    Petra Perner, In: L. Barolli, M. Takizawa, F. Xhafa, T. Enokido, Jong Hyuk Park, (Eds.), IEEE WAINA2015, FAINA 2015, IEEE 29th International Conference on Advanced Information Networking and Applications Workshops 25-27 March 2015, Gwangju, Korea, p. 255-260, ISSB 978-1-4799-1775-4/15 IEEE DOI 10.1109/WAINA.2015.75
  • New Computational Methods for Spectrometer Signal Analysis
    Perner P., In: N.E. Mastorakis, P.M. Pardalos, R.P. Agarwal(Eds.), Proc. New Developments in Pure and Applied Mathematics - 42, MMSSE 2015, PM-AM 2015, Vienna Austria, March 15-17, 2015, p. 26-31, ISSN: 2227-4588, ISBN: 978-1-61804-287-3.
  • Big Data Analysis and Reporting with Decision Tree Induction
    Perner P., In: N.E. Mastorakis, I.J. Rudas (Eds.), Proc. Advances in Information Science and Computer Engineering, CEA`15, Feb. 22-24, 2015, p. 25-34, ISSN: 1790-5109, ISBN: 978-1-61804-276-7.
  • Representation of 1-d Signals by a 0_1 Sequence and Similarity-Based Interpretation
    Perner P., Proceedings ENBIS-14, Linz, Austria, September 21-24, 2014.
  • Mining Sparse and Big Data by Case-based Reasoning,
    Perner P. In: Piotr Jedrzejowicz, Ireneusz Czarnowski, Robert J. Howlett and Lakhmi C. Jain (Eds.), Procedia Computer Science Volume 35, Pages 19-33 (2014) Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, KES-2014 Gdynia, Poland, September 2014 Proceedings
  • The Study of the Internal Mitochondrial Movement of the Cells by Data Mining with Prototype-Based Classification,
    Perner P., In: Fatos Xhafa, Leonard Barolli, Francesco Palmieri, Mario Koeppen, Vincenzo Loia (Eds.), INCoS 2014 Sixth International Conference on Intelligent Networking and Collaborative Systems, p. 262-267, IEEE DOI 10.1109/INCoS.2014.30
  • Integrating Input from Human Experts into Prototype-Based Classifier Learning,
    Perner P., In: Thomas Seidl, Marwan Hassani, Christian Beecks (Eds.),
    Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen Germany, September 8-10, 2014, Volume no.: 1226, urn:nbn:de:0074-1226-4, ISSN:1613-0073, http://ceur-ws.org/Vol-1226/
  • A Novel Method for the Interpretation of Spectrometer Signals Based on Delta-Modulation and Similarity Determination,
    Perner P., In: L. Barolli, Kin Fun Li, T. Enokido, F. Xhafa, M. Takizawa (Eds.),
    Proceedings IEEE 28th International Conference on Advanced Information Networking and Applications AINA 2014, Victoria Canada, pp. 1154-1160, DOI 10.1109/AINA.2014.44.
  • NPRF - OUR VIEW TO NOVEL FORENSIC MULTIMEDIA DATA ANALYSIS
    Petra Perner, IEEE Press 22nd Signal Processing and Communications
    Applications Conference (SIU), 23-25 April 2014, pp:2285 - 2290
  • Image Acquisition and Detection of the Iris for Iridiology,
    Petra Perner, IEEE Press 22nd Signal Processing and Communications
    Applications Conference (SUI), 23-25 April 2014, pp:2291 - 2295
  • Case-Based Reasoning and the Statistical Challenges II
    Petra Perner, In: Aleksandra Gruca, Tadeusz Czachorski, Stanislaw Kozielski (Eds.).
    Man-Machine Interactions 3, Advances in Intelligent Systems and Computing Volume 242, Springer Verlag 2014
  • IMPROVING PROTOTYPE-BASED CLASSIFICATION BY FITTING THE SIMILARITY,
    Petra Perner, In: Anonio Palma dos Reis and Ajith R. Abraham (Eds.)
    Proceedings of the IADIS Intern. Conference Intelligent Systems and Agents 2013 and IADIS European Conference Data Mining 2013 page 35-42
  • Acquiring the Image of the Iris in Good Quality and Detect them
    Petra Perner In: Petra Perner (Ed.), Advances in Mass Data Analysis of Images and Signals
    in Medicine, Biotechnology, Chemistry and Food Industry, ibai publishing, 2013, p. 93-109
  • How to Compare and Interpret Two Learnt Decision Trees from the Same Domain?
    Petra Perner, In: Leonard Barolli, Fatos Xhafa, Makoto Takizawa, Tomoya Enokido,
    Hui-Huang Hsu (Eds.), IEEE 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 25-28 March 2013, Barcelona, Catalonia, Spain, pp 318 - 322 E-ISBN 978-0-7695-4952-1, Print ISBN 978-1-4673-6239-9
  • Incremental Learning of the Model for Watershed-Based Image Segmentation
    Anja Attig, Petra Perner
    In: Reneta P. Barneva, Valentin E. Brimkov, Jake K. Aggarwal (Eds.): IWCIA 2012, LNCS, vol. 7655, pp. 209-222, Springer, Berlin, Heidelberg, 2012
  • Learning an Ontology for Visual Tasks
    Petra Perner
    In: Emanuele Salerno, A.Enis Cetin, Ovidio Salvetti (Eds.) Computational Intelligence for Multimedia Understanding, LNCS, vol. 7252, pp. 1-16, Springer, Berlin (2012)
  • How to interpret Decision Trees?
    Petra Perner
    In: Petra Perner (Ed.) Advances in Data Mining. Applications and Theoretical Aspects lnai 6870, pp.40-55, Springer Verlag 2011
  • About the Use of Data Bases for Data Mining in Direct Marketing
    Christiane Schatte and Petra Perner
    In: Petra Perner (Ed.) Advances in Data Mining. Workshop Proceedings, 11th Industrial Conference ICDM 2011, New York, USA, August/September 2011, pp.113-118, ibai-publishing, Fockendorf 2011
  • A First Note on the Problem of Normalization and a Normalized Similarity Measure by Online Data
    Anja Attig and Petra Perner
    In: Petra Perner (Ed.) Advances in Data Mining. Workshop Proceedings, 11th Industrial Conference ICDM 2011, New York, USA, August/September 2011, pp.55-68, ibai-publishing, Fockendorf 2011
  • Interpretation of (RAMAN) Spectrometer-Signals Based on Delta Modulation and Similarity-Based Classification - Label-Free Screening of Bio-Molecular Interactions based on Raman Spectroscopy
    Petra Perner, Anja Attig, and Oleg Machnow
    In: Petra Perner (Ed.) Advances in Mass Data Analysis of Image and Signals in Medicine, Biotechnology, Chemistry and Food Industry. Proceedings, 6th International Conference MDA 2011, New York, USA, August/September 2011, pp.119-132, ibai-publishing, Fockendorf 2011
  • A Comparison between Haralick's Texture Descriptor and the Texture Descriptor based on Random Sets for Biological Images
    Anja Attig and Petra Perner
    In: Petra Perner (Ed.) Machine Learning and Data Mining in Pattern Recognition. lnai 6871, pp.524-538, Springer Verlag 2011
  • Fuzzy Conceptual Clustering
    Anja Attig and Petra Perner
    In: Petra Perner (Ed.) Advances in Data Mining. Applications and Theoretical Aspects. lnai 6171, pp.71-85 , Springer Verlag 2010
  • Similarity-Based Motion Tracking of Cells in Microscopic Images,,
    H. Perner and P. Perner, Medical Informatics in a United and Healthy Europe, In Proceedings of MIE 2009 Volume 150, Studies in Health Technology and Informatics: K.-P. Adlassnig, B. Blobel, J. Mantas and I. Masic (Eds.), IOS Press, 2009, p. 851-855.
  • Life Cell Tracking in Microscopic Images for High-Content Screening,
    Horst Perner and Petra Perner, 22nd IEEE Intern. Symposium on Computer-Based Medical Systems, CBMS2009, Albuquerque, New Mexico, USA, August 2009, CD-ROM
  • Evaluating a Case-Based Classifier for Biomedical Applications,
    Suzanne Little, Ovidio Salvetti, Petra Perner, IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008: IEEE Computer Society, p 584-586, ISBN 978-0-7695-3165-6,
  • Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications,
    Suzanne Little, Ovidio Salvetti, Petra Perner, In: Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor and Alexandre Hanft (Eds.), Advances in Case-Based Reasoning, Springer Verlag, lnai 5239, p. 312-324
  • Case-Based Reasoning and the Statistical Challenges,
    Petra Perner, In: Klaus-Dieter Althoff, Ralph Bergmann, Mirjam Minor and Alexandre Hanft (Eds.), Advances in Case-Based Reasoning, Springer Verlag, lnai 5239, p. 430-443
  • Novel Computerized Methods in System Biology -Flexible High-Content Image Analysis and Interpretation System for Cell Images,
    Petra Perner, In: Petra Perner, Ovidio Salvetti (Eds.), Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry, MDA 2008, lnai 5108, Springer Verlag 2008, p. 139-157
  • Semantic Annotation of Images,
    S. Little, O. Salvetti, and P. Perner, In: A. K .H. Tung, Qiuming Zhu, N. Ramakrishnan, O. R. Zaïane, Yong Shi, Chr. W. Clifton, Xindong Wu (Eds.), Proceedings IEEE ICDM Workshops 2007, p. 45-51.
  • Using Neural Nets for Semi-Automatic Semantic Annotation of Images,
    S. Little, O. Salvetti, P. Perner, In Proceedings: A. Hinneburg (Ed.), Lernen-Wissen-Adaption LWA 2007, p.113-119, ISBN: 978-3-86010-907-6
  • Automatic Quality Control of Cerels based on Image Analysis ,
    J. Tischoff, I. Neuhäuser, P. Perner In: Petra Perner and Ovidio Salvetti (Eds.), Mass Data Analysis of Signals and Images in Medicine, Biotechnology, and Chemistry,Proceedings 2007, p. 220-234.
  • Watershed Segmentation via Case-Based Reasoning,
    M. Frucci, P. Perner, G. Sanniti di Baja,In: Rosina Weber and Michael M. Richter (Eds.), Case-Based Reasoning Reasearch and Development, lnai 4626, 2007, p. 419-432.
  • Concepts for Novelty Detection and Handling based on a Case-Based Reasoning Scheme,
    P. Perner, In: P. Perner (Ed.) Advances in Data Mining, Springer Verlag, lnai 4597, 2007, p. 21-34
  • A Comparative Study of Catalogue-Based Classification,
    P. Perner, In: Th. Roth-Berghofer, M. H. Göker, H. Altay Güvenir (Eds.): Advances in Case-Based Reasoning, lncs 4106, Springer 2006, p. 301-308
  • Data Preparation of Web Log Files for Marketing Aspects Analyses,
    M. Reichle, P. Perner, K.-D. Althoff, In: Petra Perner (Ed.): Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, lncs 4065, Springer 2006,p. 131-145
  • Determination of Mycotoxin with Polarisationsfluorescence and Intelligent SignalsInterpretation,
    P. Perner and Th. Guenther, In: P. Perner, O. Salvetti, I. Bichindaritz (Eds.): 6th Industrial Conference on Data Mining, Workshop Proceedings, ICDM 2006, IBaI Report 2006, p. 200-210
  • Detection of Hygiene-relevant Parameters such as Mycotoxin from Cereal Grains based on Intelligent Image Interpretation and Data Mining,
    P. Perner and Th. Guenther, In: P. Perner, O. Salvetti, I. Bichindaritz (Eds.): 6th Industrial Conference on Data Mining, Workshop Proceedings, ICDM 2006, IBaI Report 2006, p. 130-137
  • A General Approach to Shape Characterization for Biomedical Problems,
    D. Moroni, P. Perner, O. Salvetti, In: P. Perner, O. Salvetti, I. Bichindaritz (Eds.): 6th Industrial Conference on Data Mining, Workshop Proceedings, ICDM 2006, IBaI Report 2006, 56-65
  • Aligning Concave and Convex Shapes,
    S. Jaenichen and P. Perner:, In: Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder (Eds.): Structural, Syntactic, and Statistical Pattern Recognition, lncs 4109, Springer 2006, p. 243-251
  • Learning of General Cases,
    S. Jänichen and P. Perner, In: S.K. Pal, S. Bandyopadhyay, and S. Biswas (Eds.): Pattern Recognition and Machine Intelligence, Springer Verlag 2005, lnai 3776, p. 774-779
  • Detection of Hygiene-relevant Parameters from Cereal Grains based on Intelligent Image Interpretation and Data Mining,
    P. Perner und Th. Günther, In: M. Bauer, B. Brandherm, J. Fürnkranz, G. Grieser, Andreas Hotho, A. Jedlitschka, A. Kröner (Eds.): Lernen, Wissensentdeckung und Adaptivität (LWA) 2005, GI Workshops, Saarbrücken DFKI 2005, p. 216-219
  • Acquisition of Concept Description by Conceptual Clustering,
    S. Jänichen and P. Perner, In: P. Perner and A. Imiya (Eds.), Machine Learning and Data Mining in Pattern Recognition, Springer Verlag, lnai3587, pp. 153-163, 2005
  • Learning of General Cases,
    S. Jänichen and P. Perner, In: I. Bindchindaritz and C. Marling (Eds.), Intern. Conference on Case-Based Reasoning, ICCBR 2005, Chicago Il, USA, Workshop Proceedings CBR in Health Science, pp. 52-61, 2005
  • An image inspection system for the automatic classification of HEp-2 cell patterns,
    P. Perner, H. Perner, R. Sonntag, In: K. Konrad, M. P. Bachmann, E. K. L. Chan, M. J. Fritzler, R. L. Humbel, U. Sack, Y. Shoenfeld (Eds.), From Animal Models to Human Genetics: Research on the Induction and Pathogenicity of Autoantibodies, Pabst Science Publishers, pp. 511-522, 2004
  • Case Acquisition and Case Mining for Case-Based Object Recognition,
    P. Perner, S. Jähnichen, In: Peter Funk, Pedro A. González Calero (Eds.), Advances in Case-Based Reasoning, Proceedings of the ECCBR 2004, Madrid/Spain, Springer Verlag 2004, Vol. 3155, pp. 616-629
  • Case-Based Object Recognition,
    P. Perner, A. Bühring, In: Peter Funk and Pedro A. Gonzalez Calero (Eds.), Advances in Case-Based Reasoning, Proceedings of the ECCBR 2004, Madrid/Spain, Springer Verlag 2004, pp. 375-388
  • Learning of Form Models from Exemplars,
    P. Perner, S. Jänichen, In: Ana Fred, Terry Caelli, Robert P. W. Duin, Aurelio Campilho, and Dick de Ridder (Eds.), Structural, Syntactic, and Statistical Pattern Recognition, Proceedings of the SSPR 2004, Lisbon/Portugal, Springer Verlag 2004, LNCS 3138, pp. 153-161
  • Recognition of Airborne Fungi Spores in Digital Microscopic Images,
    P. Perner, H. Perner, S. Jänichen, A. Bühring, In: Josef Kittler, Maria Petrou, Mark Nixon (Eds.), Proceeding of the ICPR 2004 Volume 3, IEEE Computer Society 2004, pp. 566-569
  • Mining Images to Find General Forms of Biological Objects,
    P. Perner, H. Perner, A. Bühring, S. Jänichen, In: Petra Perner (Ed.), Advances in Data Mining - Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications, Proceeding of the ICDM 2004, Springer Verlag 2004, LNAI 3275, pp. 60-68
  • Health Monitoring by an Image Interpretation System - A System for Airborne Fungi Identification,
    P. Perner, T. Günther, H. Perner, G. Fiss, R. Ernst, In: Petra Perner, Rüdiger Brause, Hermann-Georg Holzhütter (Eds.), Medical Data Analysis, Springer Verlag 2003, LNCS 2868, pp. 64-77
  • Airborne Fungi Identification by Case-Based Reasoning,
    P. Perner, T. Guenther, H. Perner, In: L. McGinty (Ed.), 5th Intern. Conference on Case-Based Reasoning, Workshop Proceedings, Case-Based Reasoning in Health Science 2003, pp. 73-79
  • Incremental Learning of Retrieval Knowledge in a Case-Based Reasoning System,
    P. Perner, In: K.D. Ashley and D.G. Bridge (Eds.), Case-Based Reasoning - Research and Development, Springer Verlag 2003, LNAI 2689, pp. 422-436
  • Similarity Guided Learning of the Case Description and Improvement of the System Performance in an Image Classification System,
    P. Perner, H. Perner, B. Müller, In: S. Craw and A.Preece (Eds.), Advances in Case-Based Reasoning, ECCBR2002, Springer Verlag 2002, LNAI 2416, pp. 604-612, PDF-File
  • Intelligent E-Marketing with Web Mining, Personalization and User-adpated Interfaces,
    P. Perner, G. Fiss, In: P. Perner (Ed.),Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management, Springer Verlag 2002, LNAI 2394, pp. 39-57, PDF-File
  • Texture Classification based on Random Sets and its Application to Hep-2 Cells,
    P. Perner, H. Perner, B. Müller, In: R. Kasturi, D. Laurendeau, and C. Suen (Eds.), ICPR 2002, IEEE Computer Society 2002, Vol. II, pp. 406-411, PDF-File
  • Classification of HEp-2 Cells Using Fluorescent Image Analysis and Data Mining,
    P. Perner, J. Crespo, V. Maojo, F. Martin (Eds.), Medical Data Analysis, Springer Verlag, LNAI 2199, pp. 219-225, PDF-File
  • Why Case-Based Reasoning is Attractive for Image Interpretation,
    P. Perner, D. Aha, I. Watson (Eds.), Case-Bases Reasoning Research and Developments, Springer Verlag, LNAI 2080, pp. 27-44 (invited paper), PDF-File
  • Are Case-Based Reasoning and Dissimilarity-based Pattern Recognition two Sides of the same Coin?,
    P. Perner, In: P. Perner (Eds.), Machine Learning and Data Mining in Pattern Recognition, Springer Verlag, LNAI 2123, pp. 35-51
  • A hybrid Tool for Data Mining in Picture Archiving System,
    P. Perner, T. B. Belikova, In: P. Perner (Ed.), Machine Laerning and Data Mining in Pattern Recognition, Springer Verlag, LNAI 2123, pp. 141-156
  • Motion Tracking of Animal for Behavior Analysis,
    P. Perner, In: C. Arcelli, L. P. Cordella, and G. Sanniti di Baja (Eds.), Visual Form 2001, Springer Verlag 2001, LNAI 2059, pp. 779-787, PDF-File
  • Empirical Evaluation of Feature Subset Selection Based on a Real World Data Set,
    P. Perner, C. Apte, In: D. A. Zighed, J. Komorowski, and J. Zytkow, Principles of Data Mining and Knowledge Discovery, Springer Verlag 2000, LNAI 1910, pp. 575-580, PDF-File
  • CBR Ultra Sonic Image Interpretation,
    P. Perner, In: E. Blanzieri and Lugio Portinale (Eds.), Advances in Case-based Reasoning, Springer Verlag 2000, LNAI 1898, pp. 479-481, PDF-File
  • Controlling the Segmentation Parameters by Case-Based Reasoning,
    P. Perner, In: A. Sanfeliu, J.J. Villanueva, M. Vanrell, R. Alquezar, T. Huang and J. Serra (Eds.), 15th Intern. Conference on Pattern Recognition, Vol. 3: Image, Speech and Signal Processing, IEEE Computer Society, PDF-File
  • Mining knowledge in x-ray images for lung caner diagnosis,
    P. Perner, In: N. Lavrac, S. Misch, and B. Kavsek (Eds.) ECAI-2000 Workshop Notes 5th Intern. Workshop on Intelligent Data Analysis in Medicine and Pharmacology, pp. 56-51
  • Improving the accuracy of C4.5 by feature pre-selection,
    P. Perner, C. Apte, In: F. Esposito and D. Malerba (Eds.), ECAI-2000 Workshop Notes Machine Learning in Computer Vision, pp. 39-41
  • Mining Knowledge in Medical Image Databases, In Data Mining and Knowledge Discovery: Theory, Tools, and Technology,
    P. Perner, Belur V. Dasarathy (Eds.), Proceedings of SPIE Vol. 4057 (2000), pp. 359-369 PDF-File
  • Ultra Sonic Image Segmentation and Interpretation based on CBR,
    P. Perner, In: M. H. Göker (Eds.), 8th German Workshop on Case-Based Reasoning, GWCBR2000, DaimlerChrysler, pp. 133-145
  • Automatic Segmentation of CT-Scans to Determine Brain/Liquor Ratio,
    R. Beck, R. M. Dölle, H. Höfer, P. Perner, S. H. Heywang-Köbrunner, In: European Radiology Vienna 2000, Suppl. 1, Vol. 10, No. 2, p. 406
  • A Comparision between Neural Networks and Decision Trees,
    C. Jacobsen, U. Zscherpel, P. Perner, In: P. Perner and M. Petrou, Maschine Learning and Data Mining in Pattern Recognition, Springer Verlag, LNAI 1715, pp. 144-158
  • Quantifying level of brain atrophy using texture anisotropy in CT data,
    M Segovia-Martinez, M Petrou, V. A. Kovalev, P. Perner, Proceedings of Medical Image Understanding and Analysis, Oxford, July 1999, pp. 173--176
  • An Architeture for a CBR Image Segmentation System,
    P. Perner, In: K.-D. Althoff, R. Bergmann, and K. Branting (Eds.) Case-Based Reasoning Research and Development, Springer Verlag 1999, LNAI 1650, pp. 525-535, PDF-File
  • Data Mining in Picture Archiving Systems,
    P. Perner, T. B. Belikova, 3rd Intern. Conference on Practical Application of Knowledge Discovery and Data Mining, Proc. PADD99, pp. 207-210
  • Using CBR Learning for the Low-Level and High-Level Unit of a Image Interpretation System,
    P. Perner, ICAPR'98, Plymouth, peer reviewed conference, In: Sameer Singh (Eds.), Advances in Pattern Recognition, Springer Verlag 1998, pp. 45-54, PDF-File
  • Different Learning Strategies in a Case-Based Reasoning System for Image Interpretation,
    P. Perner, Advances in Case-Based Reasoning, B. Smith and P. Cunningham (Eds.), Springer Verlag 1998, LNAI 1488, pp. 251-261, PDF-File
  • Multinterval Discretization for Decision Tree Learning,
    P. Perner, S. Trautzsch, In: Advances in Pattern Recognition, A. Amin, D. Dori, P. Pudil, and H. Freeman (Eds.), Springer Verlag 1998, LNCS 1451, pp. 475-482, PDF-File
  • Similarity-Based Image Segmentation for Determination of Brain/Liquor Ratio in CT Image by Alzheimer Demenz,
    P. Perner, In: T. Lehmann et al (Hrsg.): Bildverarbeitung für die Medizin 1998, Springer Verlag 1998, pp. 214-219, PDF-File
  • Learning in a CBR Image Interpretation System,
    P. Perner, 6th German Workshop on Case-Based Reasoning GWCBR'98, University Rostock, IMIB Sereis Vol. 7, pp. 231-236
  • Image Analysis and Classification of HEp-2 Cells in Fluorescent Images,
    P. Perner, 14th Intern. Conference on Pattern Recognition, Brisbane Austr., IEEE Computer Society Press 1998, Vol. II, pp. 1677-1679
  • Content-Based Image Indexing and Retrieval in a Image Database for Technical Domains,
    P. Perner, In: Multimedia Information Analysis and Retrieval, H. H. S. Ip and A. Smuelder (Eds.), Springer Verlag 1998, LNCS 1464, pp. 207-224, PDF-File
  • A Comparision of Different Multi-Intervall Discretization Methods for Decision Tree Learning,
    S. Trautzsch , P. Perner, In: Proc. 10. FGML, Aug. 1997
  • Ultra Sonic Image Interpretation,
    P. Perner, IAPR Workshop on Machine Vision and Applications MVA`96, Tokyo Japan, pp. 552-554
  • Knowledge Acquisition by Decision Tree Induction for Interpretation of Digital Images in Radiology,
    P. Perner, T.B. Belikova, N. I. Yashunskaya, In: Advances in Structural and Syntactical Pattern Recognition, P. Perner, P. Wang, and A. Rosenfeld (Eds.), Springer Verlag 1996, LNCS 1121, PDF-File
  • Automatische Wissensakquisition bei ovarieller Stimulierung mittels Entscheidungsbäumen,
    K. W. Haake, P. Perner, S. Trautzsch, P. List, H. Alexander, 5. Jahrestagung AIG für Informationsverarbeitung in der Gynäkologie und Geburtshilfe, Ruhr-Universität Bochum, September 29-30, 1995
  • Case Based Reasoning for Image Interpretation,
    P. Perner, In: Computer Analysis of Images and Patterns, V. Hlava_ and R. Sárka, Springer Verlag 1995, pp. 532-537
  • Inductive machine learning program in 414 stimulated in-vitro-fertilization (IVF) cycles for estimation and validation of varying parameters,
    K. W. Haake, P. Perner, S. Trautzsch, P. List, H. Alexander, 11th Annual Meeting on Human Reproduction and Embryology, Hamburg, June 28, - July 1, 1995, In: vol. 10, Oxford University Press
  • An Incremental Learning System for Image Interpretation, In: Shape, Structure and Pattern Recognition,
    P. Perner, W. Pätzold, D. Dori and A. Bruckstein (Eds.), World Scientific Publishing Co., pp. 311-323
  • Lernen von Entscheidungsbäumen zur Wissensakquisition für eine Aufgabenstellung der medizinischen Diagnose,
    P. Perner, S. Trautzsch, 7. Jahrestreffen der Fachgruppe Maschinelles Lernen, Kaiserslautern, August 17-19, 1994, Proc. SFB-Report Univ. Kaiserslautern, Hrsg. M. Richter
  • An Architecture for a Knowledge-Based Image Inspection System,
    P. Perner, 1994 IEEE Intern. Symp. on Speech, Image Processing & Neural Networks, Hong Kong, April 14-16, 1994, Proc. ISSIPNN'94 (94TH0638-7), Vol. 1, pp. 65-69
  • Case-Based Reasoning For Image Interpretation in Non-destructive Testing,
    P. Perner, 1st European Workshop on Case-Based Reasoning, Otzenhausen Nov. 1993, Proc. SFB 314 Univ. Kaiserslautern, Hrsg. M. Richter, Vol. II, pp. 403-410
  • Application of Knowledge-Based Image Inspection System for Diagnosis of Misprints in Offsetprinting,
    P. Perner, In: Computer Analysis and Image Processing 1993, D. Chetverikov and W. Kropatzsch (Eds.), Springer Verlag LNCS 719, pp. 738-749
  • Fallbasiertes Schließen für eine Diagnoseaufgabe,
    P. Perner, 2. Deutsche Expertensystem Tagung, Hamburg, February 17-19, 1993, Workshop "Fälle"
  • An Application of Case-based Reasoning in Test Process Diagnosis,
    P. Perner, P. Anderson, D. Summner, J. Kyle, IBM International Conference on Expert Systems, Proc. IBM ITL Conference on Expert Systems, Yorktown Heights USA, Plenary Talk Oct. 1992, pp. 73-85
  • Qualifiziertes Prüfen - Eine methodische Betrachtung der Intelligenz des Prüfens,
    P.Perner, H. Baumbach, M. Kröning, Gemeinsame Jahrestagung der Deutschen Gesellschaft für zerstörungsfreie Prüfung (zfP), der Östereichischen Gesellschaft für zfP und der Schweizerischen Gesellschaft für zfP Luzern, May 6-8, 1991, DGzfP-Berichtsband Bd. 28, Vol. 1, pp. 437-447
  • Wissensbasierte Bildverarbeitung,
    P. Perner, Seminar "Bildverarbeitung für akustische Verfahren der Werkstoffprüfung", Fraunhofer Institut für zerstörungsfreie Prüfverfahren Saarbrücken, October 15-16, 1990, Proc. Seminarband IzfP-Nr. 39, Hrsg. M. Kröning, pp. 1-13
  • Eine echtzeitfähige Bildvorverarbeitungseinheit auf der Basis von Signalprozessoren,
    P. Perner, W. Haselbauer, G. Matz, 6. Intern. Wissenschaftl. Konferenz "Anlagenautomatisierung" Leipzig, May 22-24, 1990, Wiss. Berichte der TH Leipzig, Band 5, pp. 61-65
  • Ein Bildanalysesystem für die optische Prüfung im Bauwesen,
    P. Perner, G. Bretschneider, Postervortrag, Sep. 1988, IH Mittweida
  • Erfassung des Luftporenraumes in Betonen mit einem System der elektronischen und rechentechnischen Bildauswertung,
    G. Brettschneider, P. Perner, H. Baumbach, 6. Wiss. Konferenz "Zerstörungsfreie Prüf- und Meßmethoden im Bauwesen", Leipzig, December 2-5, 1986, Wiss. Berichte der TH Leipzig, 13 (1986)
  • Datenreduktionsverfahren für technologische Industrieroboter mit direkter Teach-in Programmierung,
    P. Perner, Dissertation IH Mittweida, 1985
  • Eine Mehrrechnersteuerung für technologische Industrieroboter und Methoden zur Abspeicherung der Bahndaten des Industrieroboters,
    P. Perner, 2. Zentrale Konferenz Junger Wissenschaftler, Karl-Marx-Stadt, Feb. 1984
  • Metodi Statija Dlja Uprablenija Technologischeskaja Promischlenimi Rabotami (Methoden zur Wegesteuerung von technologischen Industrierobotern),
    P. Perner, Konferenz Junger Wissenschaftler, Brno/CSSR, Apr. 1982
  • Direktes teach-in über Bildschirm,
    P. Perner, 13. Mittweidaer Studententage, Mar. 1982
  • Analogdisplay für Mikrorechner,
    P. Perner, 12. Mittweidaer Studententage, Mar. 1981
proceedingbook © Prof. Dr. Petra Perner proceedingbook © Prof. Dr. Petra Perner proceedingbook © Prof. Dr. Petra Perner