Ryuta Matsuno

According to our database, Ryuta Matsuno authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Source Component Shift Adaptation via Offline Decomposition and Online Mixing Approach.

Ryuta Matsuno

CoRR, August, 2025

Improved Impossible Tuning and Lipschitz-Adaptive Universal Online Learning with Gradient Variations.

Kei Takemura, Ryuta Matsuno, Keita Sakuma

CoRR, May, 2025

GBCE: Enhanced Training Loss to Estimate Accuracy of Models in Production.

Ryuta Matsuno

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Model Accuracy-Oriented Data Sets Visualization for Understanding Temporal Changes in Data.

Ryuta Matsuno, Keita Sakuma, Masakazu Hirokawa

Proceedings of the 28th International Conference Information Visualisation, 2024

Interactive Visualization of Ensemble Decision Trees Based on the Relations Among Weak Learners.

Miyu Kashiyama, Masakazu Hirokawa, Ryuta Matsuno, Keita Sakuma, Takayuki Itoh

Proceedings of the 28th International Conference Information Visualisation, 2024

eAIEDF: Extended AI Error Diagnosis Flowchart for Automatically Identifying Misprediction Causes in Production Models.

Keita Sakuma, Ryuta Matsuno, Yoshio Kameda

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Backward Compatibility in Attributive Explanation and Enhanced Model Training Method.

Ryuta Matsuno

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

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

2020

Improved mixing time for k-subgraph sampling.

Ryuta Matsuno, Aristides Gionis

CoRR, 2020

Improved mixing time for <i>k</i>-subgraph sampling.

Ryuta Matsuno, Aristides Gionis

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2018

MELL: Effective Embedding Method for Multiplex Networks.

Ryuta Matsuno, Tsuyoshi Murata

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018