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  • The Best Way to Instil Confidence is by Being Right An Evaluation of the Effectiveness of Case-Based Explanations in providing User Confidence 

    Nugent, Conor; Cunningham, Padraig; Doyle, Donal (Trinity College Dublin, Department of Computer Science, 2005-02-07)
    Instilling confidence in the abilities of machine learning systems in end-users is seen as critical to their success in real world problems. One way in which this can be achieved is by providing users with interpretable ...
  • An Evaluation of the Usefulness of Case-Based Explanation 

    Cunningham, Padraig; Doyle, Donal; Loughrey, John (Trinity College Dublin, Department of Computer Science, 2003)
    One of the perceived benefits of Case-Based Reasoning (CBR) is the potential to use retrieved cases to explain predictions. Surprisingly, this aspect of CBR has not been much researched. There has been some early work on ...
  • An Evaluation of the Usefulness of Explanation in a CBR System for Decision Support in Bronchiolitis Treatment 

    Doyle, Donal; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2006-04-04)
    The research presented here explores the hypothesis that the deployment and acceptance of decision support systems in medicine will be enhanced if the basis for the recommendation produced by the system is apparent. We ...
  • Gaining Insight through Case-Based Explanation 

    Nugent, Conor; Doyle, Donal; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2004-12)
    Because CBR is an interpretable process, it is a reasoning mechanism that supports explanation. This can be done explicitly by the system designers incorporating explanation patterns in cases. This can be termed knowl ...
  • Generating Estimates of Classification Confidence for a Case-Based Spam Filter 

    Delany, Sarah Jane; Cunningham, Padraig; Doyle, Donal (Trinity College Dublin, Department of Computer Science, 2005-02-05)
    Producing estimates of classification confidence is surprisingly difficult. One might expect that classifiers that can produce numeric classification scores (e.g. k-Nearest Neighbour or Naive Bayes) could readily produce ...
  • A Knowledge-Light Mechanism for Explanation in Case-Based Reasoning 

    Doyle, Donal (University of Dublin, Trinity College. Department of Computer Science, 2005-10)
    Decision support systems are currently achieving higher classification accuracies by using more complex reasoning mechanisms. Examples of such mechanisms include support vector machines and neural networks. However in ...
  • Representing Similarity for CBR in XML 

    Coyle, Lorcan; Doyle, Donal; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2004-07-26)
    As Case-Based Reasoning has matured as a discipline; the need for a standard means of representing case-based knowledge has come to the fore. While proposals exist for representing the vocabulary and the case-base ...
  • A Review of Explanation and Explanation in Case-Based Reasoning 

    Doyle, Donal; Tsymbal, Alexey; Cunningham, Padraig (Trinity College Dublin, Department of Computer Science, 2003)