ICCBR-2011

19th International Conference on Case Based Reasoning
Greenwich, London, 12-15 September 2011

Programme

Programme

Sunday 11/9 Monday 12/9 Tuesday 13/9 Wednesday 14/9 Thursday 15/9
Trip to Bletchley park
Info for the day
Industry Day
Computer Cooking Competition
Doctoral Consortium
Workshops Conference Day 1
Invited speaker
Paper sessions Poster sessions
Conference Day 2
Invited speaker
Paper sessions 
Welcome reception Gala Dinner

Instructions for Speakers/Presenters NEW!!

Speakers:
  • You have twenty (20) minutes to speak and five (5) minutes for questions. The session chair will ensure that the 25 minutes total time is not exceeded.
  • The conference organisers will provide a PC and computer projector in each session.
  • If you wish to use a PowerPoint presentation, a conference assistant will load it before your session. Please note that the PCs are NOT fitted with Zip or Jazz drives.
  • The PCs will run Windows XP (or later) and have Microsoft PowerPoint 2003 (or later) installed. To avoid compatibility problems, PowerPoint 2003 format (*.ppt) is recommended over the PowerPoint 2007 format (*.pptx). Please note that other presentation graphic software packages are NOT supported.
  • If you wish to use your own PC, e.g. for a software demonstration, please notify the session chair.
  • If you are using PowerPoint, remember to check the "Embed True Type" fonts option when you save your presentation. This ensures that any special fonts you have used will display correctly on the conference PCs.
Posters:

At the conference, poster presenters will be provided with a 1600X1200mm poster board during the conference. You are free to choose the page size for your poster but remember that the poster board size is from floor level so your poster size should ideally start well above floor level. Generally in the past A2 posters have worked best in terms of visibility and clarity. Laminated posters are best and sticky bits that go on the back will be provided.

Accepted Papers for Oral Presentation

  1. Ashraf Elsayed, Mohd Hanafi Ahmad Hijazi, Frans Coenen, Marta Garcia-Finana, Vanessa Sluming and Yalin Zheng. Time Series Case Based Reasoning for Image Categorisation
  2. Ralph Bergmann and Yolanda Gil. Retrieval of Semantic Workfows with Knowledge Intensive Similarity Measures
  3. Jonathan Rubin and Ian Watson. Successful Performance via Decision Generalisation in No Limit Texas Hold'em
  4. Mirjam Minor and Sebastian Görg. Acquiring Adaptation Cases for Scientific Workflows
  5. Marc Compta Perpiña and Beatriz López Ibáñez. Integration of sequence learning and CBR for complex equipment failure prediction
  6. Bernhard Freudenthaler. CBRSHM – A Case-Based Decision Support System for Semi-Automated Assessment of Structures in Terms of Structural Health Monitoring
  7. Lara Quijano-Sanchez, Juan Recio-Garcia and Belen Diaz-Agudo. User satisfaction in long term group recommendations
  8. Ricardo Palma, Antonio A. Sanchez-Ruiz, Marco Antonio Gomez-Martin, Pedro Pablo Gomez-Martin and Pedro Antonio González-Calero. Combining Expert Knowledge and Learning from Demonstration in Real-Time Strategy Games
  9. Sanjeet Hajarnis, Christina Leber, Hua Ai, Mark Riedl and Ashwin Ram. A Case Base Planning approach for Dialogue Generation in Digital Movie Design
  10. Sergio Manzano, Santiago Ontañón and Enric Plaza. Amalgam-based Reuse for Multiagent Case-based Reasoning
  11. Zurina Saaya and Barry Smyth. Recommending Case Bases: Applications in Social Web Search
  12. Antonio A. Sanchez-Ruiz, Santiago Ontañón, Pedro González Calero and Enric Plaza. Measuring Similarity in Description Logics using Refinement Operators
  13. Kerstin Bach, Klaus-Dieter Althoff, Armin Stahl and Régis Newo. A Case-Based Reasoning Approach for Providing Machine Diagnosis from Service Reports
  14. Patrice Schlegel and Eyke Huellermeier. Preference-Based CBR: First Steps Toward a Methodological Framework
  15. Lisa Cummins and Derek Bridge. On Dataset Complexity for Case Base Maintenance
  16. Edwina Rissland and Xiaoxi Xu. Using Case-Based Tests to Hunt for Gray Cygnets
  17. David Mcsherry and Christopher Stretch. Learning More from Experience in Case-Based Reasoning
  18. Anil Patelia, Sutanu Chakraborti and Nirmalie Wiratunga. On the Integration of selective Background Knowledge in TCBR systems
  19. David Leake and Mark Wilson. How Many Cases Do I Need? Early Assessment and Prediction of Case-Base Coverage

Accepted Papers for Poster Presentation

  1. Alastair A. Abbott and Ian Watson. Ontology-Aided Product Classification: A Nearest Neighbour Approach
  2. Atilim Gunes Baydin, Ramon Lopez De Mantaras, Simeon Simoff and Carles Sierra. CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation
  3. Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer and Yannick Toussaint. Improving case retrieval by enrichment of the domain ontology
  4. Lara Quijano-Sanchez, Juan Recio-Garcia and Belen Diaz-Agudo. Using personality to create alliances in group recommender systems
  5. Sergio Manzano, Santiago Ontañón and Enric Plaza. A Case-based Approach to Open-Ended Collective Agreement with Rational Ignorance
  6. Alexandra Coman and Hector Munoz-Avila. Qualitative vs. Quantitative Plan Diversity in Case-Based Planning
  7. Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond and Alain Mille. Trace replay with change propagation impact in client/server applications
  8. Markus Weber, Christoph Langenhan, Thomas Roth-Berghofer, Marcus Liwicki, Andreas Dengel and Frank Petzold. Fast Subgraph Isomorphism Detection for Graph-Based Retrieval
  9. Bryan Wiltgen, Ashok Goel and Swaroop Vattam. Representation, Indexing, and Retrieval of Biological Cases for Biologically Inspired Design
  10. Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan Bunescu, Jay Shubrook and Frank Schwartz. The 4 Diabetes Support System: A Case Study in CBR Research and Development
  11. Isabelle Bichindaritz. Comparison of Reuse Strategies for Case-based Classification in Bioinformatics
  12. Sadiq Sani, Nirmalie Wiratunga, Stewart Massie and Robert Lothian. Term Similarity and Weighting Framework for Text Classification
  13. Gilles Richard and Henri Prade. Analogy-making for solving IQ tests: A logical view