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 Detlef D. Nauck

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Reports

Reviewed Contributions to Conference Proceedings

  1. Rudolf Kruse, Detlef Nauck and Frank Klawonn. Reasoning with Mass Distributions. In B. D. D'Ambrosio, P. Smets and P. P. Bonisonne (eds.): Uncertainty in Artificial Intelligence, pp. 182-187, San Mateo, 1991. Morgan Kaufmann.
  2. Patrik Eklund, Frank Klawonn and Detlef Nauck. Distributing Errors in Neural Fuzzy Control. In Proc. 2nd Int. Conf. on Fuzzy Logic and Neural Networks (IIZUKA'92), pp. 1139-1142, 1992.
  3. Jörg Gebhardt, Rudolf Kruse and Detlef Nauck. Information Compression in the Context Model. In Proc. Workshop of North American Fuzzy Information Processing Society (NAFIPS92), pp. 296-303, Puerto Vallarta, 1992.
  4. Jörg Gebhardt, Rudolf Kruse and Detlef Nauck. Interpretation und Analyse von Fuzzy Daten. In Operations Research Proc. DGOR 91, pp. 481-487. Springer-Verlag, 1992.
  5. Detlef Nauck, Frank Klawonn, Rudolf Kruse and Uwe Lohs. Reasoning under Uncertainty with Temporal Aspects. In F. Belli and F.J. Radermacher (eds.): Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Lecture Notes in Artificial Intelligence, pp. 572-580, Berlin, 1992. Springer-Verlag.
  6. Detlef Nauck and Rudolf Kruse. Interpreting Changes in the Fuzzy Sets of a Self-adaptive Neural Fuzzy Controller. In Proc. Second Int. Workshop on Industrial Applications of Fuzzy Control and Intelligent Systems (IFIS'92), pp. 146-152, College Station, Texas, 1992.
  7. Detlef Nauck and Rudolf Kruse. A Neural Fuzzy Controller Learning by Fuzzy Error Propagation. In Proc. Workshop of North American Fuzzy Information Processing Society (NAFIPS92), pp. 388-397, Puerto Vallarta, 1992.
  8. Detlef Nauck. NEFCON-I: Eine Simulationsumgebung für Neuronale Fuzzy-Regler. In Proc. 1. GI Workshop Fuzzy-Systeme '93, Braunschweig, 1993.
  9. Detlef Nauck, Frank Klawonn and Rudolf Kruse. Combining Neural Networks and Fuzzy Controllers. In: Erich Peter Klement and Wolfgang Slany (eds.): Fuzzy Logic in Artificial Intelligence (FLAI93), pp. 35-46, Berlin, 1993. Springer-Verlag.
  10. Detlef Nauck and Rudolf Kruse. A Fuzzy Neural Network Learning Fuzzy Control Rules and Membership Functions by Fuzzy Error Backpropagation. In Proc. IEEE Int. Conf. on Neural Networks 1993, pp.\ 1022-1027, San Francisco, 1993.
  11. Detlef Nauck. A Fuzzy Perceptron as a Generic Model for Neuro-Fuzzy Approaches. In Proc. Fuzzy-Systeme'94, München, 1994.
  12. Detlef Nauck and Rudolf Kruse. Choosing Appropriate Neuro-Fuzzy Models. In Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT'94), pp. 552-557, Aachen, 1994.
  13. Detlef Nauck and Rudolf Kruse. NEFCON-I: An X-Window Based Simulator for Neural Fuzzy Controllers. In Proc. IEEE Int. Conf. Neural Networks 1994 at IEEE WCCI'94, pp. 1638-1643, Orlando, 1994.
  14. Frank Klawonn, Detlef Nauck and Rudolf Kruse. Generating Rules from Data by Fuzzy and Neuro-Fuzzy Methods. In Proc. Fuzzy-Neuro-Systeme'95, pp. 223-230, Darmstadt, 1995.
  15. Rudolf Kruse and Detlef Nauck. Learning Methods for Fuzzy Systems. In Proc. Fuzzy-Neuro-Systeme'95, pp. 7-22, Darmstadt, 1995.
  16. Rudolf Kruse and Detlef Nauck. Neuronale Fuzzy-Systeme. In Georg Dorffner, Knut Möller, Gerhard Paas and Stephan Vogel (eds.): Konnektionismus und Neuronale Netze. Beiträge zur Herbstschule HeKoNN95 in Münster/Westf., GMD-Studien No. 272, pp. 1-10, GMD-Forschungszentrum Informationstechnik GmbH, 1995.
  17. Detlef Nauck. Beyond Neuro-Fuzzy: Perspectives and Directions. In Proc. Third European Congress on Intelligent Techniques and Soft Computing (EUFIT'95), pp. 1159-1164, Aachen, 1995.
  18. Detlef Nauck and Rudolf Kruse. NEFCLASS - a Neuro-Fuzzy approach for the Classification of Data. In: K.M. George, Janice H. Carrol, Ed Deaton, Dave Oppenheim and Jim Hightower (eds.): Applied Computing 1995. Proc. of the 1995 ACM Symposium on Applied Computing, Nashville, Feb. 26-28, pp. 461-465. ACM Press, New York, 1995.
  19. Detlef Nauck, Rudolf Kruse and Roland Stellmach. New Learning Algorithms for the Neuro-Fuzzy Environment NEFCON-I. In Proc. Neuro-Fuzzy-Systeme'95, pp. 357-364, Darmstadt, 1995.
  20. Detlef Nauck and Rudolf Kruse. Neuro-Fuzzy Classification with NEFCLASS. In P. Kleinschmidt, A. Bachem, U. Derigs, D. Fischer, U. Leopold-Wildburger and
    R. Möhring (eds.): Operations Research Proceedings 1995, pp. 294-299, Berlin, 1996. Springer-Verlag.
  21. Detlef Nauck, Ulrike Nauck and Rudolf Kruse. Generating Classification Rules with the Neuro-Fuzzy System NEFCLASS. In Proc. Biennial Conference of the North American Fuzzy Information Processing Society NAFIPS'96, pp. 466-470, Berkeley, 1996
  22. Detlef Nauck and Frank Klawonn. Neuro-Fuzzy Classification Initialized by Fuzzy Clustering. In: Proc. Fourth European Congress on Intelligent Techniques and Soft Computing (EUFIT'96), pp. 1551-1555, Verlag und Druck Mainz GmbH, Aachen, 1996
  23. Rudolf Kruse and Detlef Nauck. Neuronale Fuzzy-Systeme. In Georg Dorffner, Knut Möller, Gerhard Paas and Stephan Vogel (eds.): Konnektionismus und Neuronale Netze. Beiträge zur Herbstschule HeKoNN96 in Münster/Westf., GMD-Studien, pp. 1-10, GMD-Forschungszentrum Informationstechnik GmbH, 1996.
  24. Detlef Nauck. Ein Neuro-Fuzzy-System zur Funktionsapproximation. In: Neuronale Netze in Ingenieuranwendungen, Proc. of the second international workshop, pp. 33-44, Stuttgart, 1997.
  25. Andreas Nürnberger, Detlef Nauck and Rudolf Kruse. Neuro-Fuzzy-Regelung mit NEFCON unter MATLAB/SIMULINK. In: Neuronale Netze in Ingenieuranwendungen, Proc. of the second international workshop, pp. 55-66, Stuttgart, 1997.
  26. Detlef Nauck and Rudolf Kruse. Neuro-Fuzzy Systems for Function Approximation. In: Adolf Grauel, Wilhelm Becker and Fevzi Belli: Fuzzy-Neuro-Systeme'97 - Computational Intelligence. Proc. 4th Int. Workshop Fuzzy-Neuro-Systeme '97 (FNS'97) in Soest. Series Proceedings in Artificial Intelligence, pp. 316-323, infix, Sankt Augustin, 1997.
  27. Detlef Nauck and Rudolf Kruse. Function Approximation by NEFPROX. In: Proc. Second European Workshop on Fuzzy Decision Analysis and Neural Networks for Management, Planning, and Optimization (EFDAN'97), pp. 160-169, Dortmund, 1997.
  28. Detlef Nauck and Rudolf Kruse. What are Neuro-Fuzzy Classifiers? In Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, Vol III: pp. 228-233, Academia, Prague, 1997.
  29. Detlef Nauck and Rudolf Kruse. New Learning Strategies for NEFCLASS. In Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, Vol IV: pp. 50-55, Academia, Prague, 1997.
  30. Detlef Nauck. To an Open Tool for Computational Intelligence. In: Proc. Fifth European Congress on Intelligent Techniques and Soft Computing (EUFIT'97), pp. 2480-2485, Verlag und Druck Mainz GmbH, Aachen, 1997.
  31. Detlef Nauck. Neuro-Fuzzy Systems: Review and Prospects. In: Proc. Fifth European Congress on Intelligent Techniques and Soft Computing (EUFIT'97), pp. 1044-1053, Verlag und Druck Mainz GmbH, Aachen, 1997.
  32. Andreas Nürnberger, Detlef Nauck, Rudolf Kruse and Ludger Merz. A Neuro-Fuzzy Development Tool for Fuzzy Controllers under MATLAB/SIMULINK. In: Proc. Fifth European Congress on Intelligent Techniques and Soft Computing (EUFIT'97), pp. 1029-1034, Verlag und Druck Mainz GmbH, Aachen, 1997.
  33. Detlef Nauck and Rudolf Kruse. How the Learning of Rule Weights Affects the Interpretability of Fuzzy Systems. Proc. IEEE Int. Conf. on Fuzzy Systems 1998 (FUZZIEEE'98), Anchorage, pp. 1235-1240, 1998.
  34. Detlef Nauck and Rudolf Kruse. A Neuro-Fuzzy Approach to Obtain Interpretable Fuzzy Systems for Function Approximation. Proc. IEEE Int. Conf. on Fuzzy Systems 1998 (FUZZIEEE'98), Anchorage, pp. 1106-1111, 1998.
  35. Detlef Nauck and Rudolf Kruse. Rule Weights in Fuzzy Systems. In: Wilfried Brauer (ed.): Fuzzy-Neuro Systems'98 - Computational Intelligence. Proc. 5th Int. Workshop Fuzzy-Neuro Systems'98 (FNS'98) in Munich, Series Proceedings in Artificial Intelligence, infix, Sankt Augustin, pp. 186-193, 1998.
  36. Aljoscha Klose, Andreas Nürnberger and Detlef Nauck. Some Approaches to Improve the Interpretability of Neuro-Fuzzy Classifiers.
    In Proc. Sixth European Congress on Intelligent Techniques and Soft Computing (EUFIT'98), Verlag und Druck Mainz GmbH, Aachen, pp. 629-633,
    1998.
  37. Detlef Nauck, Andreas Nürnberger and Rudolf Kruse. Neuro-Fuzzy Classification, In: Alfredo Rizzi, Maurizio Vichi and Hans-Hermann Bock: Advances in Data Science and Classification, Proc. of the 6th Conference of the International Federation Classification Societies (IFCS-98), Springer-Verlag, Berlin, pp. 287-294, 1998.
  38. Andreas Nürnberger, Detlef Nauck and Rudolf Kruse. Neuro-Fuzzy Control Based on the NEFCON-Model under MATLAB/SIMULINK. In: P. Chawdhry, R. Roy and R.K. Pant (eds.): Soft Computing in Engineering Design and Manufacturing. Proc. 2nd On-line World Conference on Soft Computing (WSC2). Springer-Verlag, London, pp. 393-400, 1998.
  39. Detlef Nauck and Rudolf Kruse. Fuzzy Classification Rules Using Categorical and Metric Variables. In: G.Brewka, R. Der, S. Gottwald, and A. Schierwagen (eds.): Fuzzy-Neuro Systems 1999 - Computational Intelligence (FNS'99), Leipziger Universitätsverlag, Leipzig, pp. 133-144, 1999.
  40. Aljoscha Klose, Detlef Nauck, Karsten Schulz and Ulrich Thönessen. Learning a Neuro-Fuzzy Classifier from Unbalanced Data in a Machine Vision Domain. In G. Brewka, R. Der, S. Gottwald, and A. Schierwagen (eds.): Fuzzy-Neuro Systems 1999 - Computational Intelligence (FNS'99), Leipziger Universitätsverlag, Leipzig, pp. 23-32, 1999.
  41. Aljoscha Klose, Andreas Nürnberger and Detlef Nauck. Improved NEFCLASS Pruning Techniques Applied to a Real World Domain. In: Gerald Krell, Bernd Michaelis, Detlef Nauck und Rudolf Kruse: Neural Networks in Applications NN'99: Proceedings of the Fourth International Workshop. Logisch GmbH, Magdeburg, pp. 47-52, 1999.
  42. Rudolf Kruse, Christian Borgelt and Detlef Nauck. Fuzzy Data Analysis: Challenges and Perspectives. In Proc. IEEE Int. Conference on Fuzzy Systems (FUZZIEEE'99), Seoul, pp. 1211-1216, 1999.
  43. Detlef Nauck and Rudolf Kruse. Using Symbolic Data in Neuro-Fuzzy Classification. In: Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), New York, pp. 536-540, 1999.
  44. Detlef Nauck, Ulrike Nauck and Rudolf Kruse. NEFCLASS for JAVA - New Learning Algorithms. In Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), New York, pp. 474-476, 1999.
  45. Detlef Nauck and Rudolf Kruse. Fusing Expert Knowledge and Information from Data with NEFCLASS. In Proc. Second International Conference on Information Fusion (FUSION'99), Sunnyvale, CA, pp. 386-393, 1999.
  46. Rudolf Kruse, Christian Borgel and Detlef Nauck. Data Mining mit Neuro-Fuzzy Systemen. In: Proc. Symposium Operations Research (SOR'99), Magdeburg, 1999.
  47. Detlef Nauck. Fuzzy Rule Learning with Symbolic Variables. In: Proc. 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99), Aachen, 8 p., published on CD-ROM only, 1999.
  48. Rudolf Kruse, Detlef Nauck and Christian Borgelt. Data Mining with Fuzzy Methods: Status and Perspectives. In: Proc. 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99), Aachen, 8 p., published on CD-ROM only, 1999.
  49. Detlef Nauck and Rudolf Kruse. Learning in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values. In Proc. 1999 International Conference on Neural Information Processing - ICONIP'99, Perth, pp. 142-147, 1999.
  50. Detlef Nauck. Knowledge Discovery with NEFCLASS. In Proc. Fourth Int. Conf. Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES'2000), Brighton, pp. 158-161, 2000.
  51. Detlef Nauck. Fuzzy Data Analysis with NEFCLASS. In: Proc. Joint Ninth IFSA World Congress and 20th NAFIPS International Conference, Vancouver, pp. 1413-1418, 2001.
  52. Martin Spott and Detlef Nauck: Neuro-Fuzzy Learning and Categorical Data. Proc. UK Workshop on Computational Intelligence (UKCI-01), Edinburgh, pp. 35-42, 2001.
  53. Detlef Nauck: Intelligent Data Analysis with NEFCLASS. Proc. European Symposium on Intelligent Technologies (eunite 2001), Tenerife. Verlag Mainz, Aachen, 2001 (on CD-ROM).
  54. Colin Ho, Ben Azvine, Detlef Nauck and Martin Spott: ITEMS: An Intelligent Travel Time Estimation and Management Tool. Proc. 7th European Conference on Networks and Optical Communications (NOC 2002), Darmstadt, pp. 433-439, 2002.
  55. Detlef Nauck. Neuro-Fuzzy Systems for Explaining Data Sets. Proc. NAFIPS-FLINT 2002, New Orleans, 2002.

Journals

Reports