Ryoki Motai

According to our database, Ryoki Motai authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Estimation of conditional average treatment effects on distributed confidential data.

Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai

Expert Syst. Appl., 2026

2025

A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression.

Kaito Terada, Keiji Abe, Toshihiko Takeda, Yuji Kawamata, Ryoki Motai, Yukihiko Okada

Proceedings of the IEEE International Conference on Big Data, 2025

Cash-Flow Prediction Model Using Graph Neural Networks and Spatiotemporal Information from Double-Entry Bookkeeping Data.

Ryoki Motai, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Keiichi Azuma, Yukihiko Okada

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Collaborative causal inference on distributed data.

Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai

Expert Syst. Appl., 2024

Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach.

Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai

CoRR, 2024

Practical Experiment of Predicting Cash Flows with LSTM and Double-entry Bookkeeping Data.

Ryoki Motai, Sota Mashiko, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Does Double-entry Bookkeeping Information Generated Using node2vec Contribute to Forecasting Future Performance?

Ryoki Motai, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada

Proceedings of the IEEE International Conference on Big Data, 2023