Software-Engineering Design Patterns for Machine Learning Applications

Author:

Washizaki Hironori1,Khomh Foutse2,Gueheneuc Yann-Gael3,Takeuchi Hironori4,Natori Naotake5,Doi Takuo6,Okuda Satoshi7

Affiliation:

1. Waseda University, NII, SYSTEM INFORMATION, and eXmotion

2. Polytechnique Montréal

3. Concordia University

4. Musashi University

5. Aisin Corporation

6. Lifematics Inc.

7. Japan Advanced Institute of Science and Technology

Funder

JST-Mirai Program

JSPS JPJSBP

Japan Society for the Promotion of Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

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2. Unboxing Default Argument Breaking Changes in Scikit Learn;2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM);2023-10-02

3. Towards green AI-based software systems: an architecture-centric approach (GAISSA);2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

4. Design and Implement an Intelligent System for Stock Investment Decision Making;J INF SCI ENG;2023

5. Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository;2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN);2023-05

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