今倉 暁 / Imakura, Akira

システム情報系 准教授 / Associate Professor, Faculty of Engineering, Information and Systems

関連記事 / Related Articles in COTRE

技術革新を支えるアルゴリズムと ソフトウェアを開発
先端数値解析ソフトウェアリサーチユニット
Development of algorithms and software to support technological innovations

 

論文 / Publication

  1. Multiclass spectral feature scaling method for dimensionality reduction Matsuda, M, Morikuni, Keiichi, Imakura, A, Ye, X, Sakurai, T Intelligent Data Analysis 24 (6) 1273 - 1287 (2020)
  2. Hubness-based Sampling Method for Nystrom Spectral Clustering Li, Hongmin, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya Proceeding of the International Joint Conference on Neural Networks (IJCNN 2020) (accepted) (2020)
  3. Data Collaboration Analysis Framework Using Centralisation of Individual Intermediate Representations for Distributed Datasets Imakura, Akira, Sakurai, Tetsuya ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6 (2) (2020)
  4. Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver Futamura, Yasunori, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6 (2) (2020)
  5. Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems Imakura, A, Morikuni, K, Takayasu, A Journal of Computational and Applied Mathematics, in press 369 (1) (2020)
  6. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki, Imakura, Akira, Matsuda, Momo, Ye, Xiucai, Tetsuya, Sakurai International Journal of Machine Learning and Computing (IJMLC) (2020)
  7. An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps Ye, Xiucai, Li, Hongmin, Imakura, Akira, Sakurai, Tetsuya Neurocomputing 399 107 - 116 (2020)
  8. Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data Imakura, Akira, Ye, Xiucai, Sakurai, Tetsuya Proceeding of the 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020) (accepted) (2020)
  9. Ensemble Learning for Spectral Clustering Li, Hongmin, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya Proceeding of the 20th IEEE International Conference on Data Mining (ICDM2020) (accepted) (2020)
  10. Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously Gu, Xian-Ming, Huang, Ting-Zhu, Carpentieri, Bruno, Imakura, Akira, Zhang, Ke, Du, Lei Journal of Computational and Applied Mathematics 375 (2020)

researchmap の論文リストを表示する Show the publication list on researchmap

※上記の論文リストは researchmapから取得した論文リストにDOIリンク等の情報を付加したものです。筑波大学研究者総覧(TRIOS)または researchmapの論文リストが更新されると後日反映されます。

論文のオープンアクセス版を読む Check out a freely downloadable version

知財 / Intellectual properties

  1. 特願2019-104396 : 特徴量選択支援装置、特徴量選択支援プログラム及び特徴量選択支援方法 今倉, 暁, 叶, 秀彩, 櫻井, 鉄也
  2. 特願2018-243376 : 分散データ統合装置、分散データ統合方法及び分散データ統合プログラム 今倉, 暁, 櫻井, 鉄也
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発行:筑波大学 URA研究戦略推進室・研究推進部