論文

• D. T. Nguyen, K. Slavakis, D. Pados. Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning, Signal Processing, vol. 237, pp. 110077, May 2025.
• Thien Nguyen Duc, Konstantinos Slavakis. Multilinear kernel regression and imputation via manifold learning, IEEE Open Journal of Signal Processing, IEEE, vol. 5, pp. 1073-1088, Aug. 2024.

国際会議発表 (査読有り)

• Duc Thien Nguyen, Konstantinos Slavakis. Multilinear kernel regression and imputation via manifold learning: The dynamic MRI case, IEEE International Conference on Acoustics, Speech and Signal Processing, Mar. 2024.  公式リンク  
  

国内会議発表 (査読なし・不明)

• Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados. Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning, Signal Processing Symposium, Dec. 2024.
• Duc Thien Nguyen, Konstantinos Slavakis. Multi-linear kernel regression and imputation in data manifolds, Signal Processing (SIP) Symposium, Nov. 2023.

その他の論文・著書など

• Thien Nguyen Duc, Konstantinos Slavakis. Multi-linear kernel regression and imputation in data manifolds, Apr. 2023.

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