Case-Based Reasoning Research and Development

Case BaseMaintenance in Preference-based CBR.- Learning to Estimate: A Case-BasedApproach to Task Execution Prediction .- Case-based Policy and GoalRecognition.- Adapting Sentiments with Context.- Aspect Selection for SocialRecommender Systems.- Music Recommendation: Audio Neighbourhoods to DiscoverMusic in the Long Tail.- Goal-Driven Autonomy with Semantically-annotatedHierarchical Cases.- Evaluating a Textual Adaptation System.- Visual CaseRetrieval for Interpreting Skill Demonstrations.- Improving Trust-GuidedBehavior Adaptation Using Operator Feedback.- Top-Down Induction of SimilarityMeasures Using Similarity Clouds.- Improving Case Retrieval Using Typicality.- CBRMeets Big Data: A Case Study of Large-Scale Adaptation Rule Generation.- Addressingthe Cold-Start Problem in Facial Expression Recognition.- Flexible FeatureDeletion: Compacting Case Bases by Selectively Compressing Case Contents.- ACase-Based Approach For Easing Schema Semantic Mapping.- Great Explanations:Opinionated Explanations for Recommendation.- Learning and Applying AdaptationOperators in Process-Oriented Case-Based Reasoning.- Fault Diagnosis via Fusionof Information from a Case Stream.- Argument-based Case Revision in CBR forStory Generation.- CBR Model for Predicting a Building's Electricity Use:On-Line Implementation in the Absence of Historical Data.- ModellingHierarchical Relationships in Group Recommender Systems.- Semi-automaticKnowledge Extraction from Semi-structured andUnstructured Data within theOMAHA Project.- Evidence-Driven Retrieval in Textual CBR: Bridging the GapBetween Retrieval and Reuse.- Maintaining and Analyzing Production Process DefinitionsUsing a Tree-Based Similarity Measure.- Case-Based Plan Recognition UnderImperfect Observability.