JSAI2024

Presentation information

Organized Session

Organized Session » OS-17

[4P1-OS-17b] OS-17

Fri. May 31, 2024 9:00 AM - 10:40 AM Room P (Room 401)

オーガナイザ:名取 直毅(株式会社アイシン)、梶 大介(株式会社デンソー)、廣瀬 正明(株式会社デンソー)、河村 芳海(トヨタ自動車株式会社)、梶 洋隆(トヨタ自動車株式会社)、城殿 清澄(株式会社豊田中央研究所)

9:40 AM - 10:00 AM

[4P1-OS-17b-03] A Framework for Developing Reliable Machine Learning Systems and its Application

Hironori Washizaki1, Jati H Husen1, Jomphon Runpakprakun1, Shiyang Guan1, 〇Nobukazu Yoshioka1, Naotake Natori2, Truong Vinh Truong Duy2 (1. Waseda University, 2. AISIN CORPORATION)

Keywords:Machine Learning, Modeling, Framework, Case Study, MLOps

We describe M3S (Multi-view Modeling framework for ML systems), a framework that integrates multi-view and consistent analytical and design modeling and machine learning model workflow pipelines for the continuous development and operation of highly reliable machine learning systems, and its application example in the mobility domain.

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