Collaborative causal inference on distributed data Y Kawamata, R Motai, Y Okada, A Imakura, T Sakurai Expert Systems with Applications 244 (15), 123024, 2024 | 3 | 2024 |
財務諸表データを用いた資金ニーズの見過ごしチェック AI の開発 罇涼稀, 秦涼太, 今倉暁, 櫻井鉄也, 岡田幸彦 Department of Policy and Planning Sciences Discussion Paper Series, No.1383, 2022 | 2 | 2022 |
リレーションシップバンキング機能の向上を目的とした中小企業の資金ニーズ判別法とその活用の提案 罇涼稀, 竹田俊彦, 今倉暁, 櫻井鉄也, 岡田幸彦 Department of Policy and Planning Sciences Discussion Paper Series, No. 1385, 2023 | 1 | 2023 |
混合ガウスモデルを用いたデータ駆動型企業分類の提案と検証 寺田海渡, 罇涼稀, 竹田俊彦, 高野祐一, 岡田幸彦 Department of Policy and Planning Sciences Discussion Paper Series, No. 1391, 2024 | | 2024 |
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Y Kawamata, R Motai, Y Okada, A Imakura, T Sakurai arXiv preprint arXiv:2402.02672, 2024 | | 2024 |
Does double-entry bookkeeping information generated using node2vec contribute to forecasting future performance? R Motai, M Kamebuchi, S Watanabe, R Matsumoto, Y Okada 2023 IEEE International Conference on Big Data (BigData), 3194-3201, 2023 | | 2023 |