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- W3117328085 abstract "During the past few decades, classifiers have become a heavily studied and well-researched area. Classifiers are often used in many modern applications as a core computing technique. However, it has been observed that many popular and highly accurate classifiers are lacking an important characteristic that of human friendliness. This hinders the ability of end users to interpret and fine-tune the method of decision-making process as human friendliness allows for crucial decision making toward applications. This paper presents, in terms of classification (i) a taxonomy for human-friendliness (ii) comparisons with well-known classifiers as related to human friendliness, and (iii) discussion regarding recent developments and challenges in the field." @default.
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- W3117328085 date "2021-01-01" @default.
- W3117328085 modified "2023-10-15" @default.
- W3117328085 title "Human Friendliness of Classifiers: A Review" @default.
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- W3117328085 doi "https://doi.org/10.1007/978-981-33-4367-2_29" @default.
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