cbr hall of fame

Below you will find links to previous featured researchers, featured papers and featured projects. If you haven't been featured yet make sure we have the URLs of your web site and publications by submitting the ai-cbr information form.

 

featured researchers

 

featured papers

  • Combining Rules and Cases to Learn Case Adaptation by David B. Leake. In the Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, 1995. View the HTML version or download a postscript file (31KB zip)
  • Case-Based Reasoning in Design by Maher, M.L. and Gomez de Silva Garza, A. (1997) IEEE Expert. Volume 12, Number 2 (March/April 1997). View the HTML version.
  • Feature Weighting by Explaining Case-based Planning Episodes by Muñoz-Avila, H. & Hüllen, J. In I. Smith, B. Falting (Eds). Proc. European Workshop on case-based Reasoning (EWCBR-96), LNCS/LNAI, 1996. Download a Compressed Postscript (98k) version.
  • Concept Learning and Heuristic Classification in Weak-Theory Domains, by R. Bareiss, B. Porter and R. Holte (1990). Artificial Intelligence Journal, v45 (nos. 1-2), pp. 229-264. Download a Postscript (250k) version.
  • Case-Based Reasoning in Colour Matching, by Cheetham, W. & Graf, J. (1997). In, Proc. ICCBR-97, Leake, D. & Plaza, E. (Eds.) LNAI, Springer. Download a Postscript (146k) version.
  • The Radio Interference Advisor: Using artificial intelligence to assist Radio Inspectors, by Schaefer, B.A., In Racine, T., Ed., ITU Handbook: Computer Aids to Spectrum Management, (1996). View an HTML version.
  • Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes, by Karl Branting and David W. Aha. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence , Montreal, Canada, August 20-25, 1995. Download a Postscript version.
  • Evaluating Case-Based Reasoning Systems. In: Proc. Workshop on Case-Based Reasoning: A New Force In Advanced Systems Development. By Althoff, K.-D. 48-61, published by Unicom Seminars Ltd., Brunel Science Park, Cleveland Road, Uxbridge, Middlesex UB8 3P, UK (1995). Download a compressed Postscript version.
  • Engineering Design Methodology as a Design Grammar and Case-Based Reasoning. By  M. Göker & H. Birkhofer. In Proceedings of the Third International Conference on Artificial Intelligence in Design, Workshop on Case-Based Design Systems, Lausanne, 14-18 August 1994. Download a Postscript version.
  • TRANSFORMING HEURISTICS INTO CASES: An evolutionary approach to the construction of multi-criteria decision support systems, by Rory Macdonald. An HTML version of the paper can be viewed.
  • Introspective Multistrategy Learning: On the construction of learning strategies, by Cox, M. T., & Ram, A. To appear in Artificial Intelligence. A postscript version of the paper can be downloaded.
  • The Utility Problem Analysed: A Case-Based Reasoning Perspective, by Barry Smyth & Padraig Cuninngham in Proceedings of EWCBR '96, Advances in Case-Based Reasoning, Ian Smith & Boi Faltings eds. Springer Verlag Lecture Notes in AI, pp392-399. A postscript version of the paper can be downloaded.
  • Improving the Interfaces to Interactive Case Memories. 1995 by Andrew Dearden. In  Progress in Case Based Reasoning, Ian D Watson (ed.) pp 73 - 84, Springer. A postscript version of the paper can be downloaded.
  • Design by Interactive Exploration Using Memory-Based Techniques by Gomez de Silva Garza, A., and Maher, M.L. (1996)  Knowledge-Based Systems. Volume 9, Number 1. A postscript version of the paper can be downloaded.
  • The Design of a Tool Kit for Case-Based Design Aids by E. Domeshek, J. Kolodner, and C. Zimring (1994). Proceedings of the Third International Conference on Artificial Intelligence in Design. A postscript version of the paper can be downloaded.
  • Software Support for Cost Estimation by Analogy by  Chris Schofield and Martin Shepperd, Presented at the European Software Cost Modelling Conference 6, Rolduc 1995. An HTML version of the paper can be viewed.
  • Cooperative Case-Based Reasoning by Enric Plaza, Josep Lluís Arcos, and Francisco Martín. In,  G. Weiss (Ed.) "Distributed Artificial Intelligence meest Machine Learning", Lecture Notes in Artificial Intelligence, Springer Verlag, num. 1221, pp.180-201. (1997). A compressed PDF version of the paper can be downloaded.
  • Reasoning and Retrieval in Distributed Case Bases, by M. V. NagendraPrasad, Victor R. Lesser and Susan Lander. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, Vol 7, No. 1, March 1996, pp 74 - 87. A postscript version of the paper can be downloaded.
  • The Omnipresence of Case-Based Reasoning in Science and Application by Aha, D. W. (1997). (Technical Report AIC-98-002). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence. A PostScript version of the paper can be downloaded.
  • On the Consistency Management of Large Case Bases: the Case for Validation by Kirsti Racine and Qiang Yang. In AAAI Technical Report - Verification and Validation Workshop 1996. An Acrobat pdf version of the paper can be downloaded.
  • ISAC: A CBR System for Decision support in Air Traffic Control by Andrea Bonzano & Padraig Cuningham in Proceedings of EWCBR '96, Advances in Case-Based Reasoning, Ian Smith & Boi Faltings eds. Springer Verlag Lecture Notes in AI, pp44-57. A compressed postscript version of the paper can be downloaded.
  • Categorizing Case-Based Maintenance: Dimensions and Directions.Leake,D.B. & Wilson, D.C (1998). In, Advances in Case-Based Reasoning, Smyth, B. & Cunningham, P. (Eds.), pp.196-207. Springer-Verlag, Lecture Notes in AI #1488, Berlin. A compressed postscript or acrobat version of the paper can be downloaded.
  • Wettschereck, D., & Aha, D. W. (Eds.) (1997). ECML-97 MLNet Workshop Notes: Case-Based Learning: Beyond Classification of Feature Vectors (Technical Report AIC-97-005). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence. A postscript or acrobat version of the paper can be downloaded.
  • CBR Net :- Smart Technology over a Network by, Michelle Doyle, Maria Angela Ferrario, Conor Hayes, Padraig Cunningham & Barry Smyth. Department of Computer Science, Trinity College Dublin. An acrobat version of the paper can be downloaded.
  • Similarity Metrics: A Formal Unification of Cardinal and Non-Cardinal Similarity Measures by Hugh Osborne and Derek Bridge. In: David B. Leake and Enric Plaza, Case-Based Reasoning Research and Development Proceedings of the 2nd International Conference on Case-based Reasoning (ICCBR-97), pages 235-244, 1997. An acrobat version of the paper can be downloaded.
  • Collecting Experience on the Systematic Development of CBR Applications Using the INRECA-II Methodology by Ralph Bergmann, Sean Breen, Emmanuelle Fayol, Mehmet Göker, Michel Manago, Sascha Schmitt, Jürgen Schumacher, Armin Stahl, Stefan Wess, & Wolfgang Wilke. In, Proceedings of the 4th European Workshop on Case-Based Reasoning, EWCBR'98, Springer-Verlag, Berlin. 1998. An acrobat version of the paper can be downloaded.
  • Dimensional Analysis in Case-Based Reasoning by Hertkorn, P. and Rudolph, S. In: Proceedings International Workshop on Similarity Methods, University of Stuttgart, Germany, November 26th and 27th, 163-178, 1998. An acrobat version of the paper can be downloaded.
  • Improving accuracy by combining rule-based and case-based reasoning by Andrew R. Golding & Paul S. Rosenbloom (1996). Artificial Intelligence 87 (November 1996), pp. 215-254. A zipped acrobat version of the paper can be downloaded.

  • Watson, I. & Gardingen, D. (1999). A Distributed Case-Based Reasoning Application for Engineering Sales Support. In, Proc. 16th Int. Joint Conf. on Artificial Intelligence (IJCAI-99), Vol. 1: pp. 600-605. Morgan Kaufmann Publishers Inc. ISBN 1-55860-613-0. download the paper (232KB pdf) or the presentation (1175KB pdf).
  • Improving accuracy by combining rule-based and case-based reasoning by Andrew R. Golding Paul S. Rosenbloom Artificial Intelligence Vol. 87 (November 1996), pp. 215-254. download the paper (256KB zipped pdf)
  • A Review & Empirical Evaluation of Feature Weighted Methods for a Class of Lazy Learning Algorithms. Wettschereck, D., Aha, D. & Mohri, T. (1997). AI Review Vol. 11, pp.273-314 download the paper (483KB pdf)   

If you are looking for something longer to read why not take a look at the ai-cbr featured books.

featured project

  • The PTV system - This online system provides personalised TV (PTV) programmes guides. Each guide contains only those programmes that a user is interested in. The system uses case-based reasoning and collaborative filtering to make programme recommendations so that new programmes can be suggested to a user even if he/she has not specified an interest in them in the past.
  • Entree - an online restaurant agent.
  • CBR-PEB: (CBR Product Experience Base - decision support for reusing existing CBR systems)

last updated October 03, 2000