Titlebook: Case-Based Reasoning Research and Development; 29th International C Antonio A. Sánchez-Ruiz,Michael W. Floyd Conference proceedings 2021 Sp

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Advanced Information Systems Engineeringeral issue of exploiting also negative cases—i.e., problem-solution pairs where the solution answers incorrectly the problem—can be raised. Indeed, such cases are “naturally” generated by a CBR system as long as it sometimes proposes incorrect solutions. This paper aims at addressing this issue for

CAPE

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Co-destruction Patterns in Crowdsourcing model-dependent and model-independent strategies. However, it is unclear how to choose the best explanation approach for a given image, as these novel XAI approaches are radically different. In this paper, we propose a CBR solution to the problem of choosing the best alternative for the explanation

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Advanced Information Systems Engineeringper, we examine a CBR system (PBI-CBR) designed to aid sustainable dairy farming by supporting grassland management, through accurate crop growth prediction. As climate changes, PBI-CBR’s historical cases become less useful in predicting future grass growth. Hence, we extend PBI-CBR using data augme

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