KAWAMATA Yuji
- Affiliation
- Institute of Systems and Information Engineering
- Official title
- Specially Appointed Assistant Professor
- ORCID
- 0000-0003-3951-639X
- URL
- I"v.v$v+v:IEx*C+*,",wvCvxC!'
- Research fields
Web informatics, Service informatics - Research keywords
Federated Learning Causal Inference - Career history
2021-10 -- 2025-09 University of TsukubaCenter for Artificial Intelligence Research, Tsukuba Institute for Advanced ResearchResearcher 2025-10 -- (current) University of TsukubaInstitute of Systems and Information Engineering / Center for Artificial Intelligence Research, Tsukuba Institute for Advanced ResearchSpecially Appointed Assistant Professor - Academic background
2017-04 -- 2021-09 University of Tsukuba Graduate School of Systems and Information Engineering 社会工学専攻博士後期課程 - Degree
2021-09 Doctor of Philosophy in Policy and Planning Sciences University of Tsukuba - Articles
- Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
SUGAWARA Sota; KAWAMATA Yuji; TOYODA Akihiro; NAKAYAMA...
Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI-ECAI2026), 2026-08 - A new type of federated clustering: A non-model-sharing approach
KAWAMATA Yuji; KAMIJO Kaoru; KIHIRA Masateru; TOYODA ...
arXiv, 2025-06 - A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression
TERADA Kaito; ABE Keiji; TAKEDA Toshihiko; KAWAMATA Y...
Prceedings of 2025 IEEE International Conference on Big Data (BigData)/pp.2268-2273, 2025-11 - DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication While Preserving Privacy
NAKAYAMA Tomoru; KAWAMATA Yuji; IMAKURA Akira; OKADA ...
Prceedings of 2025 IEEE International Conference on Big Data (BigData)/pp.1474-1479, 2025-11 - Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment
TOYODA Akihiro; KAWAMATA Yuji; NAKAYAMA Tomoru; IMAKUR...
Sci Rep/16(1), 2026-01 - Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach
Mashiko Sota; Kawamata Yuji; Nakayama Tomoru; Sakurai ...
SCIENTIFIC REPORTS/15(1), 2025-11-26 - Estimation of conditional average treatment effects on distributed confidential data
Kawamata Yuji; Motai Ryoki; Okada Yukihiko; IMAKURA A...
Expert Systems with Applications/296(C)/p.129066, 2026-01 - Data collaboration for causal inference from limited medical testing and medication data
NAKAYAMA Tomoru; KAWAMATA Yuji; TOYODA Akihiro; IMAKUR...
Scientific Reports/15(1), 2025-03 - Generating Synthetic Journal-Entry Data Using Variational Autoencoder
MOTAI Ryoki; MASHIKO Sota; KAWAMATA Yuji; SHIN Ryota; ...
Intelligent Systems in Accounting, Finance and Management/32(1), 2025-03 - Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach
MASHIKO Sota; KAWAMATA Yuji; NAKAYAMA Tomoru; SAKURAI ...
arXiv, 2025-01 - An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprises
ANDO Renon; KAWAMATA Yuji; TAKEDA Toshihiko; OKADA Yu...
Proceedings of 2024 IEEE International Conference on Big Data (BigData)/pp.2269-2274, 2024-12 - 分散機密データを想定した 処置効果の推定手法の開発
河又裕士; 岡田 幸彦
オペレーションズ・リサーチ, 2024-06 - Collaborative causal inference on distributed data
Kawamata Yuji; Motai Ryoki; Okada Yukihiko; Imakura A...
EXPERT SYSTEMS WITH APPLICATIONS/244, 2024-06
- Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
- Conference, etc.
- A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression
TERADA Kaito; ABE Keiji; TAKEDA Toshihiko; KAWAMATA Yuji...
Prceedings of 2025 IEEE International Conference on Big Data (BigData)/2025-11 - DC-CP: Data Collaboration Conformal Prediction from Model Training to Conformal Prediction in Single-Round Communication While Preserving Privacy
NAKAYAMA Tomoru; KAWAMATA Yuji; IMAKURA Akira; OKADA Yuk...
Prceedings of 2025 IEEE International Conference on Big Data (BigData)/2025-11
- A Reliable Decision Support Framework for SME Default Prediction Using Uncertainty-Aware Bayesian GEV Regression
(Last updated: 2026-02-16)