AutoML from Software Engineering Perspective: Landscapes and Challenges
Author:
Affiliation:
1. Peking University,School of Computer Science,Beijing,China
2. University College London,London,United Kingdom
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10173934/10173935/10173951.pdf?arnumber=10173951
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1. Comparative analysis of performance of AutoML algorithms: Classification model of payment arrears in students of a private university;ICST Transactions on Scalable Information Systems;2023-12-06
2. Assessing the Use of AutoML for Data-Driven Software Engineering;2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM);2023-10-26
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