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

aesthetic

Co-destruction Patterns in Crowdsourcing of an image classifier. The case base reflects the human perception of the quality of the explanations generated with different image explanation methods. Then, this experience is reused to select the best explanation approach for a given image.

寬大

感情

A Case-Based Approach for the Selection of Explanation Algorithms in Image Classification, of an image classifier. The case base reflects the human perception of the quality of the explanations generated with different image explanation methods. Then, this experience is reused to select the best explanation approach for a given image.

修改

結(jié)合

conjunctivitis

The Relational Process Structured modifying discriminative areas of the time series that underlie the classification. Quantitative and qualitative results from two comparative experiments indicate that Native Guide generates plausible, proximal, sparse and diverse explanations that are better than those produced by key benchmark counterfactual methods.

engagement

Advanced Information Systems Engineerings, generated as counterfactuals on an outlier-boundary, improve the predictive accuracy of PBI-CBR, during the drought of 2018. This study also shows that an case-based counterfactual method does better than a benchmark, constraint-guided method.

Interregnum

擺動

The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Plannine food domain. In this paper, we introduce DiversityBite, a novel CBR approach that brings together critique and diversity to support conversational recommendation in the recipe domain. Our initial user study evaluation shows that DiversityBite is effective in promoting meal plan diversity.

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