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Frank Klawonn: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Frank Klawonn, Rudolf Kruse
    The Inherent Indistinguishability in Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    Logic versus Approximation, 2004, pp:6-17 [Conf]
  2. Rudolf Kruse, Jörg Gebhardt, Frank Klawonn
    Reasoning with Mass Distributions and the Context Model. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:81-85 [Conf]
  3. Frank Rehm, Frank Klawonn
    Learning Methods for Air Traffic Management. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:992-1001 [Conf]
  4. Jens Kinzel, Frank Klawonn, Rudolf Kruse
    Anpassung Genetischer Algorithmen zum Erlernen und Optimieren von Fuzzy-Reglern. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1994, pp:103-110 [Conf]
  5. L. Pickert, Ingmar Reuter, Frank Klawonn, Edgar Wingender
    Transcription regulation regions revealed by Signal detection and fuzzy clusterfng. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1997, pp:99-101 [Conf]
  6. Annette Keller, Frank Klawonn
    Regelerzeugung mit Fuzzy-Clusteranalyse. [Citation Graph (0, 0)][DBLP]
    Workshop Data Mining und Data Warehousing, 1998, pp:119-130 [Conf]
  7. Frank Rehm, Frank Klawonn, Rudolf Kruse
    Visualization of Single Clusters. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2006, pp:663-671 [Conf]
  8. Frank Klawonn, Claudia Hundertmark, Lothar Jänsch
    A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:180-184 [Conf]
  9. Frank Klawonn, Plamen P. Angelov
    Evolving Extended Naive Bayes Classifiers. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:643-647 [Conf]
  10. Frank Klawonn, Jens Kinzel, Rudolf Kruse
    Modifications of Genetic Algorithms for Designing and Optimizing Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:28-33 [Conf]
  11. Frank Höppner, Frank Klawonn
    Finding Informative Rules in Interval Sequences. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:125-134 [Conf]
  12. Frank Klawonn, Frank Höppner
    What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:254-264 [Conf]
  13. Frank Klawonn, Erich-Peter Klement
    Mathematical Analysis of Fuzzy Classifiers. [Citation Graph (0, 0)][DBLP]
    IDA, 1997, pp:359-370 [Conf]
  14. Frank Klawonn, Annette Keller
    Fuzzy Clustering Based on Modified Distance Measures. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:291-302 [Conf]
  15. Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Olaf Wolkenhauer
    Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:330-340 [Conf]
  16. Frank Rehm, Frank Klawonn, Rudolf Kruse
    MDSpolar: A New Approach for Dimension Reduction to Visualize High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    IDA, 2005, pp:316-327 [Conf]
  17. Detlef Nauck, Frank Klawonn, Rudolf Kruse, Uwe Lohs
    Reasoning under Uncertainty with Temporal Aspects. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1992, pp:572-580 [Conf]
  18. Rudolf Kruse, Erhard Schwecke, Frank Klawonn
    On a Tool for Reasoning with Mass Distributions. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1991, pp:1190-1195 [Conf]
  19. Frank Rehm, Frank Klawonn, Rudolf Kruse
    POLARMAP - Efficient Visualisation of High Dimensional Data. [Citation Graph (0, 0)][DBLP]
    IV, 2006, pp:731-740 [Conf]
  20. Frank Klawonn, Frank Höppner
    Equi-sized, Homogeneous Partitioning. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:70-77 [Conf]
  21. Detlef Nauck, Frank Klawonn, Rudolf Kruse
    Combining Neural Networks and Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    FLAI, 1993, pp:35-46 [Conf]
  22. Rudolf Kruse, Jörg Gebhardt, Frank Klawonn
    A fuzzy controller for idle speed regulation. [Citation Graph (0, 0)][DBLP]
    SAC, 1994, pp:155-160 [Conf]
  23. Frank Klawonn, Philippe Smets
    The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices. [Citation Graph (0, 0)][DBLP]
    UAI, 1992, pp:130-137 [Conf]
  24. Rudolf Kruse, Detlef Nauck, Frank Klawonn
    Reasoning with Mass Distributions. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:182-187 [Conf]
  25. Rudolf Kruse, Frank Klawonn
    Numerische Methoden zur Verarbeitung unsicherer Informationen in wissensbasierten Systemen. [Citation Graph (0, 0)][DBLP]
    Konzeption und Einsatz von Umweltinformationssystemen, 1990, pp:169-176 [Conf]
  26. Frank Klawonn
    Identifying Single Good Clusters in Data Sets. [Citation Graph (0, 0)][DBLP]
    IWICPAS, 2006, pp:160-167 [Conf]
  27. L. Pickert, Ingmar Reuter, Frank Klawonn, Edgar Wingender
    Transcription regulatory region analysis using signal detection and fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1998, v:14, n:3, pp:244-251 [Journal]
  28. Ulrich Bodenhofer, Frank Klawonn
    A formal study of linearity axioms for fuzzy orderings. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:3, pp:323-354 [Journal]
  29. Frank Klawonn
    Should fuzzy equality and similarity satisfy transitivity? Comments on the paper by M. De Cock and E. Kerre. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:133, n:2, pp:175-180 [Journal]
  30. Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Hujun Yin, Olaf Wolkenhauer
    Clustering of unevenly sampled gene expression time-series data. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:49-66 [Journal]
  31. Frank Höppner, Frank Klawonn
    Finding informative rules in interval sequences. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:3, pp:237-255 [Journal]
  32. Arup Kumar Nandi, Frank Klawonn
    Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2005, v:9, n:5, pp:455-472 [Journal]
  33. Rudolf Kruse, Frank Klawonn, Detlef Nauck
    Erlerner von Fuzzy-Regeln. [Citation Graph (0, 0)][DBLP]
    Inform., Forsch. Entwickl., 1997, v:12, n:1, pp:2-6 [Journal]
  34. Frank Höppner, Frank Klawonn
    Improved fuzzy partitions for fuzzy regression models. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:32, n:2-3, pp:85-102 [Journal]
  35. Annette Keller, Frank Klawonn
    Fuzzy Clustering with Weighting of Data Variables. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:6, pp:735-746 [Journal]
  36. Rudolf Kruse, Jörg Gebhardt, Frank Klawonn
    Modellierung von Vagheit und Unsicherheit. [Citation Graph (0, 0)][DBLP]
    KI, 1991, v:5, n:4, pp:13-17 [Journal]
  37. Maurice Scheer, Frank Klawonn, Richard Münch, Andreas Grote, Karsten Hiller, Claudia Choi, Ina Koch, Max Schobert, Elisabeth Härtig, Ulrich Klages, Dieter Jahn
    JProGO: a novel tool for the functional interpretation of prokaryotic microarray data using Gene Ontology information. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:510-515 [Journal]
  38. Frank Höppner, Frank Klawonn, Patrik Eklund
    Learning indistinguishability from data. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:1, pp:6-13 [Journal]
  39. Frank Klawonn
    Reducing the number of parameters of a fuzzy system using scaling functions. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:9, pp:749-756 [Journal]
  40. Frank Rehm, Frank Klawonn, Rudolf Kruse
    A Novel Approach to Noise Clustering for Outlier Detection. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:489-494 [Journal]
  41. Ulrich Bodenhofer, Eyke Hüllermeier, Frank Klawonn, Rudolf Kruse
    Special Issue on Soft Computing for Information Mining. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:397-399 [Journal]
  42. Arup Kumar Nandi, Frank Klawonn
    Detecting Ambiguities in Regression Problems using TSK Models. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:5, pp:467-478 [Journal]
  43. Katharina Tschumitschew, Frank Klawonn, Frank Höppner, Vitaliy Kolodyazhniy
    Landscape Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:263-273 [Conf]
  44. Frank Klawonn, Claudia Choi, Beatrice Benkert, Bernhard Thielen, Richard Münch, Max Schobert, Dietmar Schomburg, Dieter Jahn
    A Likelihood Ratio Test for Differential Metabolic Profiles in Multiple Intensity Measurements. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:485-492 [Conf]

  45. Improving Angle Based Mappings. [Citation Graph (, )][DBLP]


  46. Fuzzy Clustering of Macroarray Data. [Citation Graph (, )][DBLP]


  47. Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation. [Citation Graph (, )][DBLP]


  48. Statistical Modelling for Data from Experiments with Short Hairpin RNAs. [Citation Graph (, )][DBLP]


  49. Attribute Value Selection Considering the Minimum Description Length Approach and Feature Granularity. [Citation Graph (, )][DBLP]


  50. Rank Correlation Coefficient Correction by Removing Worst Cases. [Citation Graph (, )][DBLP]


  51. Obtaining interpretable fuzzy models from fuzzy clustering and fuzzy regression. [Citation Graph (, )][DBLP]


  52. AVEDA: Statistical Tests for Finding Interesting Visualisations. [Citation Graph (, )][DBLP]


  53. Towards a Robust Rank Correlation Measure for Numerical Observations on the Basis of Fuzzy Orderings. [Citation Graph (, )][DBLP]


  54. Noise Clustering via Dynamic Data Assigning Assessment. [Citation Graph (, )][DBLP]


  55. An alternative approach to the fuzzifier in fuzzy clustering to obtain better clustering. [Citation Graph (, )][DBLP]


  56. Fuzzy clustering with weighting of data variables. [Citation Graph (, )][DBLP]


  57. Clustering Likelihood Curves: Finding Deviations from Single Clusters. [Citation Graph (, )][DBLP]


  58. Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments. [Citation Graph (, )][DBLP]


  59. Single Cluster Visualization to Optimize Air Traffic Management. [Citation Graph (, )][DBLP]


  60. Understanding and Controlling the Membership Degrees in Fuzzy Clustering. [Citation Graph (, )][DBLP]


  61. Dynamic data assigning assessment clustering of streaming data. [Citation Graph (, )][DBLP]


  62. MS-specific noise model reveals the potential of iTRAQ in quantitative proteomics. [Citation Graph (, )][DBLP]


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