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ORCIDShinnosuke Matsuo
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2020 – today
- 2026
[j2]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Learning from majority label: A novel problem in multi-class multiple-instance learning. Pattern Recognit. 172: 112425 (2026)- 2025
- [c14]Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura:
Instance-wise Supervision-level Optimization in Active Learning. CVPR 2025: 4939-4947 - [c13]Ryo Ishiyama
, Shinnosuke Matsuo, Seiichi Uchida:
Computer-Aided Multi-stroke Character Simplification by Stroke Removal. ICDAR (2) 2025: 167-183 - [c12]Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise:
Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. IJCNN 2025: 1-8 - [c11]Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro:
Bounding the Worst-class Error: A Boosting Approach. IJCNN 2025: 1-8 - [i16]Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura:
Instance-wise Supervision-level Optimization in Active Learning. CoRR abs/2503.06517 (2025) - [i15]Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise:
Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. CoRR abs/2506.22301 (2025) - [i14]Ryo Ishiyama, Shinnosuke Matsuo, Seiichi Uchida:
Computer-Aided Multi-Stroke Character Simplification by Stroke Removal. CoRR abs/2506.23106 (2025) - [i13]Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo:
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models. CoRR abs/2509.00378 (2025) - [i12]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Learning from Majority Label: A Novel Problem in Multi-class Multiple-Instance Learning. CoRR abs/2509.04023 (2025) - 2024
- [c10]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 - [c9]Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo:
Test-Time Augmentation for Traveling Salesperson Problem. ICANN (1) 2024: 194-208 - [c8]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Counting Network for Learning from Majority Label. ICASSP 2024: 7025-7029 - [c7]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 - [i11]Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
Counting Network for Learning from Majority Label. CoRR abs/2403.13370 (2024) - [i10]Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo:
Test-Time Augmentation for Traveling Salesperson Problem. CoRR abs/2405.04767 (2024) - [i9]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) - [i8]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
- [j1]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Deep attentive time warping. Pattern Recognit. 136: 109201 (2023) - [c6]Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro:
Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. ICASSP 2023: 1-5 - [c5]Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. ICCV 2023: 16524-16533 - [i7]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) - [i6]Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise:
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. CoRR abs/2308.08822 (2023) - [i5]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Deep Attentive Time Warping. CoRR abs/2309.06720 (2023) - [i4]Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro:
Boosting for Bounding the Worst-class Error. CoRR abs/2310.14890 (2023) - 2022
- [c4]Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana:
Dynamic Data Augmentation with Gating Networks for Time Series Recognition. ICPR 2022: 3034-3040 - 2021
- [c3]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. ICASSP 2021: 3995-3999 - [c2]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Attention to Warp: Deep Metric Learning for Multivariate Time Series. ICDAR (3) 2021: 350-365 - [i3]Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana:
Self-Augmented Multi-Modal Feature Embedding. CoRR abs/2103.04731 (2021) - [i2]Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida:
Attention to Warp: Deep Metric Learning for Multivariate Time Series. CoRR abs/2103.15074 (2021) - [i1]Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana:
Dynamic Data Augmentation with Gating Networks. CoRR abs/2111.03253 (2021)
2010 – 2019
- 2019
- [c1]Kaede Kumamoto, Shinnosuke Matsuo, Yoshimitsu Kuroki:
A Convolutional Dictionary Learning based l1 Norm Error with Smoothed l0 Norm Regression. ISPACS 2019: 1-2
Coauthor Index
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