Daiki Suehiro

Scopus著者プロファイル

ウェブサイトhttps://hyoka.ofc.kyushu-u.ac.jp/html/100021370_ja.html

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年別の研究成果

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Daiki Suehiro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

20 会議への寄与
6 学術誌
1 会議記事

Learning from majority label: A novel problem in multi-class multiple-instance learning
Shiku, K., Matsuo, S., Suehiro, D. & Bise, R., 4月 2026, In: Pattern Recognition. 172, 112425.
研究成果: ジャーナルへの寄稿 › 学術誌 › 査読
Bounding the Worst-class Error: A Boosting Approach
Saito, Y., Matsuo, S., Uchida, S. & Suehiro, D., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer
Shiku, K., Nishimura, K., Suehiro, D., Tanaka, K. & Bise, R., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers Inc., p. 4290-4299 10 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
1 被引用数 (Scopus)
COUNTING NETWORK FOR LEARNING FROM MAJORITY LABEL
Shiku, K., Matsuo, S., Suehiro, D. & Bise, R., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 7025-7029 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
1 被引用数 (Scopus)
Learning from Partial Label Proportions for Whole Slide Image Segmentation
Matsuo, S., Suehiro, D., Uchida, S., Ito, H., Terada, K., Yoshizawa, A. & Bise, R., 2024, Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Feragen, A., Glocker, B., Giannarou, S., Schnabel, J. A., Dou, Q. & Lekadir, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 372-382 11 p. (Lecture Notes in Computer Science; vol. 15011 LNCS).
研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与
1 被引用数 (Scopus)

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過去5年の共同研究と上位研究分野

詳細を開く

Learning from majority label: A novel problem in multi-class multiple-instance learning

Bounding the Worst-class Error: A Boosting Approach

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer

COUNTING NETWORK FOR LEARNING FROM MAJORITY LABEL

Learning from Partial Label Proportions for Whole Slide Image Segmentation

末廣 大貴

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

Learning from majority label: A novel problem in multi-class multiple-instance learning

Bounding the Worst-class Error: A Boosting Approach

Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer

COUNTING NETWORK FOR LEARNING FROM MAJORITY LABEL

Learning from Partial Label Proportions for Whole Slide Image Segmentation

末廣大貴