Keita Sakuma

According to our database, Keita Sakuma authored at least 3 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Method of Identifying Causes of Prediction Errors to Accelerate MLOps.

Keita Sakuma, Ryuta Matsuno, Yoshio Kameda

Proceedings of the IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2023

Quantitative Decomposition of Prediction Errors Revealing Multi-Cause Impacts: An Insightful Framework for MLOps.

Keita Sakuma, Ryuta Matsuno, Yoshio Kameda

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Robust Backward Compatibility Metric for Model Retraining.

Ryuta Matsuno, Keita Sakuma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023