Titlebook: Case-Based Reasoning Research and Development; 30th International C Mark T. Keane,Nirmalie Wiratunga Conference proceedings 2022 The Editor

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书目名称Case-Based Reasoning Research and Development影响因子(影响力)




书目名称Case-Based Reasoning Research and Development影响因子(影响力)学科排名




书目名称Case-Based Reasoning Research and Development网络公开度




书目名称Case-Based Reasoning Research and Development网络公开度学科排名




书目名称Case-Based Reasoning Research and Development被引频次




书目名称Case-Based Reasoning Research and Development被引频次学科排名




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书目名称Case-Based Reasoning Research and Development年度引用学科排名




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书目名称Case-Based Reasoning Research and Development读者反馈学科排名

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978-3-031-14922-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/222324.jpg

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A Note on the Wave Climatology of UK Waters Machine Learning or black-box models. Existing XAI libraries offer a good number of explanation methods, that are reusable for different domains and models, with different choices of parameters. However, it is not clear what would be a good explainer for a given situation, domain, AI model, and use

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Alison Schwartz-Kripner,Cornelia P. ChanningHence, the popular methods generate synthetic counterfactuals using “blind” perturbation, by manipulating feature values to elicit a class change. However, this strategy has other problems, notably a tendency to generate invalid data points that are . or that involve feature-values that do not natur

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W. Mestwerdt,O. Müller,H. Brandauper we show how this can be addressed in a case-based reasoning (CBR) context by a metric learning strategy that explicitly considers bias/fairness. Since one of the advantages CBR has over alternative machine learning approaches is interpretability, it is interesting to see how much this metric lea

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Critical Fluctuations Under Shear Flow,erize domains. The effectiveness of machine learning with deep neural networks has prompted much interest in neural network approaches to feature learning in case-based reasoning, with several works showing the value of feature extraction from input data using convolutional neural networks. Those ap