1. ICCBR 1995: Sesimbra, Portugal

Application Sessions

• Jonathan R. C. Allen, David W. Patterson, Maurice D. Mulvenna, John G. Hughes:
  Integration of Case Based Retrieval with a Relational Database System in Aircraft Technical Support. 1-10
  
• Rosella Bisio, Fabio Malabocchia:
  Cost Estimation of Software Projects through Case Base Reasoning. 11-22
  
• Béatrice Fuchs, Alain Mille, Benoît Chiron:
  Operator Decision Aiding by Adaption of Supervision Strategies. 23-32
  
• Jean Luc Wybo, Fréderic Geffraye, Aline Russeil:
  PROFIL: a decision support tool for metallic sections using a CBR approach. 33-42
  
• Robert T. Macura, Katarzyna J. Macura:
  MacRad: Radiology Image Resource with a Case-Based Retrieval System. 43-54
  
• Farhi Marir, Ian Watson:
  Representing and Indexing Building Refurbishment Cases for Multiple Retrieval of Adaptable Pieces of Cases. 55-66
  
• B. D. Netten, R. A. Vingerhoeds:
  Large-Scale Fault Diagnosis for On-Board Train Systems. 67-76
  
• Elisha T. O. Opiyo:
  Case-Based Reasoning for Expertise Relocation in Support of Rural Health Workers in Developing Countries. 77-87
  
• Ian F. C. Smith, Claudio Lottaz, Boi Faltings:
  Spatial composition using cases: IDIOM. 88-97
  
• Jutta Stehr:
  CBR and Machine Learning for Combustion System Design. 98-108
  

Scientific Sessions

• Gennady Agre:
  KBS Maintenance as Learning Two-Tiered Domain Representation. 109-120
  
• Sandra M. Aluísio, Osvaldo N. Oliveira Jr.:
  A Case-Based Approach for Developing Writing Tools Aimed at Non-native English Users. 121-132
  
• Kevin D. Ashley, Bruce M. McLaren:
  Reasoning with Reasons in Case-Based Comparisons. 133-144
  
• Brigitte Bartsch-Spörl:
  Towards the Integration of Case-Based, Schema-Based and Model-Based Reasoning for Supporting Complex Design Tasks. 145-156
  
• Mike Brown, Ian Watson, Nick Filer:
  Separating the Cases from the Data: Towards More Flexible Case-Based Reasoning. 157-168
  
• Karen Zita Haigh, Manuela M. Veloso:
  Route Planning by Analogy. 169-180
  
• John D. Hastings, Karl Branting, Jeffrey A. Lockwood:
  Case Adaption Using an Incomplete Causal Model. 181-192
  
• Neil Hurley:
  Evaluating the Application of CBR in Mesh Design for Simulation Problems. 193-204
  
• John E. Hunt, Denise E. Cooke, Horst Holstein:
  Case Memory and Retrieval Based on the Immune System. 205-216
  
• Nitin Indurkhya, Sholom M. Weiss:
  Using Case Data to Improve on Rule-based Function Approximation. 217-228
  
• David B. Leake, Andrew Kinley, David C. Wilson:
  Learning to Improve Case Adaption by Introspective Reasoning and CBR. 229-240
  
• Hector Muñoz-Avila, Jochem Hüllen:
  Retrieving Cases in Structured Domains by Using Goal Dependencies. 241-252
  
• Seishi Okamoto, Ken Satoh:
  An Average-Case Analysis of k-Nearest Neighbor Classifier. 253-264
  
• Enric Plaza:
  Cases as terms: A feature term approach to the structured representation of cases. 265-276
  
• Luigi Portinale, Pietro Torasso:
  ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning. 277-288
  
• Lisa Purvis, Pearl Pu:
  Adaptation Using Constraint Satisfaction Techniques. 289-300
  
• Francesco Ricci, Paolo Avesani:
  Learning a Local Similarity Metric for Case-Based Reasoning. 301-312
  
• Barry Smyth, Mark T. Keane:
  Experiments On Adaptation-Guided Retrieval In Case-Based Design. 313-324
  
• Jerzy Surma, Koen Vanhoof:
  Integration Rules and Cases for the Classification Task. 325-334
  
• Willemien Visser:
  Reuse of Knowledge: Emperical Studies. 335-346
  
• Dietrich Wettschereck, David W. Aha:
  Weighting Features. 347-358
  
• Michael Wolverton:
  An Investigation of Marker-Passing Algorithms for Analogue Retrieval. 359-370
  

Poster Sessions

• Eric Auriol, Stefan Wess, Michel Manago, Klaus-Dieter Althoff, Ralph Traphöner:
  INRECA: A Seamlessly Integrated System Based on Inductive Inference and Case-Based Reasoning. 371-380
  
• Shirin Bakhtari, Wolfgang Oertel:
  DOM-ArC: An Active Decision Support System for Quality Assessment of Cases. 381-390
  
• Isabelle Bichindaritz:
  A Case-Based Reasoner Adaptive to Different Cognitive Tasks. 390-400
  
• Padraig Cunningham, Barry Smyth, Neil J. Hurley:
  On the use of CBR in optimisation problems such as the TSP. 401-410
  
• Ralph Deters:
  Case-Based Diagnosis of Multiple Faults. 411-420
  
• Stephen Flinter, Mark T. Keane:
  On the Automatic Generation of Cases Libraries by Chunking Chess Games. 421-430
  
• Susan Fox, David B. Leake:
  Learning to Refine Indexing by Introspective Reasoning. 430-440
  
• Mehmet H. Göker, Herbert Birkhofer:
  Problem Solving with "The Incredible Machine" - An Experiment in Case-Based Reasoning. 441-450
  
• Stephan Grolimund, Jean-Gabriel Ganascia:
  Integrating Case Based Reasoning and Tabu Search for Solving Optimisation Problems. 451-460
  
• Kathleen Hanney, Mark T. Keane, Barry Smyth, Padraig Cunningham:
  Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. 461-470
  
• Thomas R. Hinrichs:
  Some Limitations of Feature-Based Recognition in Case-Based Design. 471-480
  
• Y. Huang, R. Miles:
  A Case Based Method for Solving Relatively Stable Dynamic Constraint Satisfaction Problems. 481-490
  
• Yaakov HaCohen-Kerner:
  Learning Strategies for Explanation Patterns: Basic Game Patterns with Application to Chess. 491-500
  
• Deepak Khemani, P. V. S. R. Bhanu Prasad:
  A Memory-Based Hierarchical Planner. 501-509
  
• Rosina Weber-Lee, Ricardo Miranda Barcia, Suresh K. Khator:
  Case-Based Reasoning for Cash-Flow Forecasting using Fuzzy Retrieval. 510-519
  
• Maria Malek:
  A Connectionist Indexing Approach for CBR Systems. 520-527
  
• Eliseo Berni Reategui, John A. Campbell, Shirley Borghetti:
  Using a Neutral Network to Learn General Knowledge in a Case-Based System. 528-537
  
• Jörg Walter Schaaf:
  "Fish and Sink" - An Anytime-Algorithm to Retrieve Adequate Cases. 538-547
  
• Gerhard Strube, A. Enzinger, Dietmar Janetzko, Markus Knauff:
  Knowledge Engineering for CBR systems from a Cognitive Science Perspective. 548-558
  
• Kai Ming Ting:
  Towards using a Single Uniform Metric in Instance-Based Learning. 559-568
  

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