An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises. - Renon Ando; Yuji Kawamata; Toshihiko Takeda; Yukihiko Okada (IEEE Big Data, 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)

Collaborative causal inference on distributed data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2024)

Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach. - Sota Mashiko; Yuji Kawamata; Tomoru Nakayama; Tetsuya Sakurai; Yukihiko Okada (CoRR, 2025)

A new type of federated clustering: A non-model-sharing approach. - Yuji Kawamata; Kaoru Kamijo; Masateru Kihira; Akihiro Toyoda; Tomoru Nakayama; Akira Imakura; Tetsuya Sakurai; Yukihiko Okada (CoRR, 2025)

Estimation of conditional average treatment effects on distributed confidential data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2026)