Keiji Kimura

Scopus著者プロファイル

ウェブサイトhttps://w-rdb.waseda.jp/html/100000436_ja.html

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年別の研究成果

フィンガープリント

Keiji Kimuraが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

1 類似のプロファイル

51 Conference contribution
19 Article
3 Paper
2 Conference article
その他

Enclave Application Cache for RISC-V Keystone
Umezawa, T., Saiki, A. & Kimura, K., 2025, Proceedings - 10th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2025. Institute of Electrical and Electronics Engineers Inc., p. 422-428 7 p. (Proceedings - 10th IEEE European Symposium on Security and Privacy Workshops, Euro S and PW 2025).
研究成果: Conference contribution
Evaluation of Speedup and Energy with Multigrain Parallelizing Compiler
Pickar, J., Kawasumi, T., Mikami, H., Kimura, K. & Kasahara, H., 2025, Lecture Notes in Computer Science. Springer Science and Business Media Deutschland GmbH, p. 34-49 16 p. (Lecture Notes in Computer Science; vol. LNCS 14564).
研究成果: Chapter
Ideal Parametrisation Estimation for Variational Quantum Circuit Classifiers Using Machine Learning
Fathi, M., Gomaa, W., Wada, Y., Kimura, K., Ueda, K. & El-Mahdy, A., 2024, Workshops Program, Posters Program, Panels Program and Tutorials Program. Culhane, C., Byrd, G. T., Muller, H., Alexeev, Y., Alexeev, Y. & Sheldon, S. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 114-119 6 p. (Proceedings - IEEE Quantum Week 2024, QCE 2024; vol. 2).
研究成果: Conference contribution
On the optimality of quantum circuit initial mapping using reinforcement learning
Elsayed Amer, N., Gomaa, W., Kimura, K., Ueda, K. & El-Mahdy, A., 2024 12月, In: EPJ Quantum Technology. 11, 1, 19.
研究成果: Article › 査読

Open Access
1 被引用数 (Scopus)
Cross-Domain Few-Shot Sparse-Quantization Aware Learning for Lymphoblast Detection in Blood Smear Images
Aboutahoun, D., Zewail, R., Kimura, K. & Soliman, M. I., 2023, Pattern Recognition - 7th Asian Conference, ACPR 2023, Proceedings. Lu, H., Blumenstein, M., Cho, S.-B., Liu, C.-L., Yagi, Y. & Kamiya, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 213-226 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14408 LNCS).
研究成果: Conference contribution

木村啓二

フィンガープリント

過去5年の共同研究と上位研究分野

詳細を開く

Enclave Application Cache for RISC-V Keystone

Evaluation of Speedup and Energy with Multigrain Parallelizing Compiler

Ideal Parametrisation Estimation for Variational Quantum Circuit Classifiers Using Machine Learning

On the optimality of quantum circuit initial mapping using reinforcement learning

Cross-Domain Few-Shot Sparse-Quantization Aware Learning for Lymphoblast Detection in Blood Smear Images

木村 啓二

フィンガープリント

過去5年の共同研究と上位研究分野

研究成果

Enclave Application Cache for RISC-V Keystone

Evaluation of Speedup and Energy with Multigrain Parallelizing Compiler

Ideal Parametrisation Estimation for Variational Quantum Circuit Classifiers Using Machine Learning

On the optimality of quantum circuit initial mapping using reinforcement learning

Cross-Domain Few-Shot Sparse-Quantization Aware Learning for Lymphoblast Detection in Blood Smear Images

木村啓二