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2020 – today
- 2024
[j5]Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro
:
No regret sample selection with noisy labels. Mach. Learn. 113(3): 1163-1188 (2024)- [c18]Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise:
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. ECAI 2024: 2194-2201 - [c17]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Counting Network for Learning from Majority Label. ICASSP 2024: 7025-7029 - [c16]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. MICCAI (11) 2024: 372-382 - [i15]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Counting Network for Learning from Majority Label. CoRR abs/2403.13370 (2024) - [i14]Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. CoRR abs/2405.09041 (2024) - [i13]Shunsuke Kubo, Shinnosuke Matsuo, Daiki Suehiro, Kazuhiro Terada, Hiroaki Ito, Akihiko Yoshizawa, Ryoma Bise:
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. CoRR abs/2408.14130 (2024) - 2023
- [j4]Xiaotong Ji, Daiki Suehiro, Seiichi Uchida:
Paired contrastive feature for highly reliable offline signature verification. Pattern Recognit. 144: 109816 (2023) - [c15]Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro:
Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP 2023: 1-5 - [c14]Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. ICCV 2023: 16524-16533 - [i12]Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro:
Learning from Label Proportion with Online Pseudo-Label Decision by Regret Minimization. CoRR abs/2302.08947 (2023) - [i11]Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. CoRR abs/2308.08822 (2023) - [i10]Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro:
Boosting for Bounding the Worst-class Error. CoRR abs/2310.14890 (2023) - 2022
- [c13]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. DAS 2022: 323-337 - [c12]Daiki Suehiro, Eiji Takimoto:
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning. UAI 2022: 1896-1906 - [i9]Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Optimal Rejection Function Meets Character Recognition Tasks. CoRR abs/2203.09151 (2022) - [i8]Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Revealing Reliable Signatures by Learning Top-Rank Pairs. CoRR abs/2203.09927 (2022) - 2021
- [j3]Yan Zheng, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Top-rank convolutional neural network and its application to medical image-based diagnosis. Pattern Recognit. 120: 108138 (2021) - [c11]Yan Zheng, Daiki Suehiro, Seiichi Uchida:
Top-Rank Learning Robust to Outliers. ICONIP (3) 2021: 608-619 - [c10]Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise:
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. MICCAI (8) 2021: 425-434 - [i7]Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise:
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification. CoRR abs/2107.09289 (2021) - 2020
- [j2]Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Theory and Algorithms for Shapelet-Based Multiple-Instance Learning. Neural Comput. 32(8): 1580-1613 (2020) - [c9]Heon Song, Daiki Suehiro, Seiichi Uchida:
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound. WACV 2020: 670-678 - [i6]Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro:
No Regret Sample Selection with Noisy Labels. CoRR abs/2003.03179 (2020) - [i5]Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Theory and Algorithms for Shapelet-based Multiple-Instance Learning. CoRR abs/2006.01130 (2020) - [i4]Heon Song, Daiki Suehiro, Seiichi Uchida:
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee. CoRR abs/2009.09237 (2020)
2010 – 2019
- 2019
- [c8]Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida:
Optimal Rejection Function Meets Character Recognition Tasks. ACPR (2) 2019: 169-183 - [c7]Yan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida:
RankSVM for Offline Signature Verification. ICDAR 2019: 928-933 - [c6]Takuro Karamatsu, Daiki Suehiro, Seiichi Uchida:
Logo Design Analysis by Ranking. ICDAR 2019: 1482-1487 - [i3]Daiki Suehiro:
An Application of Multiple-Instance Learning to Estimate Generalization Risk. CoRR abs/1911.05999 (2019) - 2018
- [j1]Daiki Suehiro, Kohei Hatano, Eiji Takimoto:
Efficient Reformulation of 1-Norm Ranking SVM. IEICE Trans. Inf. Syst. 101-D(3): 719-729 (2018) - [i2]Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers. CoRR abs/1811.08084 (2018) - 2017
- [c5]Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata:
Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis. ICALT 2017: 267-268 - [c4]Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Hiroaki Ogata:
Revealing Hidden Impression Topics in Students' Journals Based on Nonnegative Matrix Factorization. ICALT 2017: 298-300 - [c3]Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro:
Real-time learning analytics for C programming language courses. LAK 2017: 280-288 - [i1]Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda:
Boosting the kernelized shapelets: Theory and algorithms for local features. CoRR abs/1709.01300 (2017) - 2012
- [c2]Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano:
Online Prediction under Submodular Constraints. ALT 2012: 260-274 - 2011
- [c1]Daiki Suehiro, Kohei Hatano, Eiji Takimoto:
Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. ALT 2011: 324-337
Coauthor Index
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