Item Infomation


Title: 
Data Sensitivity and Domain Specificity in Reuse of Machine Learning Applications
Authors: 
Corinna, Rutschi
Nicholas, Berente
Frederick, Nwanganga
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
Data sensitivity and domain specificity challenges arise in reuse of machine learning applications. We identify four types of machine learning applications based on different reuse strategies: generic, distinctive, selective, and exclusive. We conclude with lessons for developing and deploying machine learning applications.
Description: 
CC BY
Gov't Doc #: 
https://link.springer.com/article/10.1007/s10796-023-10388-4
URI: 
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7898
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