Daiki Suehiro - RankMe

43 papers A* 1A 7B 6Misc 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning from majority label: A novel problem in multi-class multiple-instance learning. Pattern Recognit. Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2025	B	`conf`	Bounding the Worst-class Error: A Boosting Approach. IJCNN Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro
2025	J	`jnl`	Learning from Majority Label: A Novel Problem in Multi-class Multiple-Instance Learning. CoRR Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2025	A	`conf`	Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. WACV Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise
2024	Misc	`conf`	Counting Network for Learning from Majority Label. ICASSP Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2024	J	`jnl`	Counting Network for Learning from Majority Label. CoRR Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2024	—	`conf`	Learning from Partial Label Proportions for Whole Slide Image Segmentation. MICCAI (11) Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2024	J	`jnl`	Learning from Partial Label Proportions for Whole Slide Image Segmentation. CoRR Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise
2024	J	`jnl`	No regret sample selection with noisy labels. Mach. Learn. Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
2024	J	`jnl`	Ordinal Multiple-instance Learning for Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer. CoRR Kaito Shiku, Kazuya Nishimura, Daiki Suehiro, Kiyohito Tanaka, Ryoma Bise
2024	A	`conf`	Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. ECAI Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise
2024	J	`jnl`	Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. CoRR Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise
2023	J	`jnl`	Boosting for Bounding the Worst-class Error. CoRR Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro
2023	Misc	`conf`	Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
2023	J	`jnl`	Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization. CoRR Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro
2023	A*	`conf`	MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. ICCV Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2023	J	`jnl`	MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. CoRR Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise
2023	J	`jnl`	Paired contrastive feature for highly reliable offline signature verification. Pattern Recognit. Xiaotong Ji, Daiki Suehiro, Seiichi Uchida
2022	J	`jnl`	Optimal Rejection Function Meets Character Recognition Tasks. CoRR Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
2022	B	`conf`	Revealing Reliable Signatures by Learning Top-Rank Pairs. DAS Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida
2022	J	`jnl`	Revealing Reliable Signatures by Learning Top-Rank Pairs. CoRR Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida
2022	A	`conf`	Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning. UAI Daiki Suehiro, Eiji Takimoto
2021	—	`conf`	Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. MICCAI (8) Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
2021	J	`jnl`	Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. CoRR Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise
2021	—	`conf`	Top-Rank Learning Robust to Outliers. ICONIP (3) Yan Zheng, Daiki Suehiro, Seiichi Uchida
2021	J	`jnl`	Top-rank convolutional neural network and its application to medical image-based diagnosis. Pattern Recognit. Yan Zheng, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
2020	J	`jnl`	AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. CoRR Heon Song, Daiki Suehiro, Seiichi Uchida
2020	A	`conf`	Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. WACV Heon Song, Daiki Suehiro, Seiichi Uchida
2020	J	`jnl`	No Regret Sample Selection with Noisy Labels. CoRR Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
2020	J	`jnl`	Theory and Algorithms for Shapelet-Based Multiple-Instance Learning. Neural Comput. Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
2020	J	`jnl`	Theory and Algorithms for Shapelet-based Multiple-Instance Learning. CoRR Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
2019	J	`jnl`	An Application of Multiple-Instance Learning to Estimate Generalization Risk. CoRR Daiki Suehiro
2019	A	`conf`	Logo Design Analysis by Ranking. ICDAR Takuro Karamatsu, Daiki Suehiro, Seiichi Uchida
2019	—	`conf`	Optimal Rejection Function Meets Character Recognition Tasks. ACPR (2) Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida
2019	A	`conf`	RankSVM for Offline Signature Verification. ICDAR Yan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida
2018	J	`jnl`	Efficient Reformulation of 1-Norm Ranking SVM. IEICE Trans. Inf. Syst. Daiki Suehiro, Kohei Hatano, Eiji Takimoto
2018	J	`jnl`	Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers. CoRR Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
2017	J	`jnl`	Boosting the kernelized shapelets: Theory and algorithms for local features. CoRR Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda
2017	B	`conf`	Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis. ICALT Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata
2017	A	`conf`	Real-time learning analytics for C programming language courses. LAK Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro
2017	B	`conf`	Revealing Hidden Impression Topics in Students' Journals Based on Nonnegative Matrix Factorization. ICALT Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Hiroaki Ogata
2012	B	`conf`	Online Prediction under Submodular Constraints. ALT Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano
2011	B	`conf`	Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. ALT Daiki Suehiro, Kohei Hatano, Eiji Takimoto