Shinnosuke Matsuo

36 papers A* 3A 1B 3Misc 3Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. AAAI Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise
2026	J	`jnl`	Cell-Type Prototype-Informed Neural Network for Gene Expression Estimation from Pathology Images. CoRR Kazuya Nishimura, Ryoma Bise, Shinnosuke Matsuo, Haruka Hirose, Yasuhiro Kojima
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
2026	J	`jnl`	Leveraging Label Proportion Prior for Class-Imbalanced Semi-Supervised Learning. CoRR Kohki Akiba, Shinnosuke Matsuo, Shota Harada, Ryoma Bise
2025	J	`jnl`	Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection. CoRR Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, 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`	Computer-Aided Multi-Stroke Character Simplification by Stroke Removal. CoRR Ryo Ishiyama, Shinnosuke Matsuo, Seiichi Uchida
2025	—	`conf`	Computer-Aided Multi-stroke Character Simplification by Stroke Removal. ICDAR (2) Ryo Ishiyama, Shinnosuke Matsuo, Seiichi Uchida
2025	A*	`conf`	Instance-wise Supervision-level Optimization in Active Learning. CVPR Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura
2025	J	`jnl`	Instance-wise Supervision-level Optimization in Active Learning. CoRR Shinnosuke Matsuo, Riku Togashi, Ryoma Bise, Seiichi Uchida, Masahiro Nomura
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	J	`jnl`	NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models. CoRR Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo
2025	B	`conf`	Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. IJCNN Takumi Okuo, Shinnosuke Matsuo, Shota Harada, Kiyohito Tanaka, Ryoma Bise
2025	J	`jnl`	Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. CoRR Takumi Okuo, Shinnosuke Matsuo, Shota Harada, 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	—	`conf`	Test-Time Augmentation for Traveling Salesperson Problem. ICANN (1) Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo
2024	J	`jnl`	Test-Time Augmentation for Traveling Salesperson Problem. CoRR Ryo Ishiyama, Takahiro Shirakawa, Seiichi Uchida, Shinnosuke Matsuo
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	J	`jnl`	Deep Attentive Time Warping. CoRR Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida
2023	J	`jnl`	Deep attentive time warping. Pattern Recognit. Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida
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
2022	B	`conf`	Dynamic Data Augmentation with Gating Networks for Time Series Recognition. ICPR Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
2021	—	`conf`	Attention to Warp: Deep Metric Learning for Multivariate Time Series. ICDAR (3) Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida
2021	J	`jnl`	Attention to Warp: Deep Metric Learning for Multivariate Time Series. CoRR Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan, Akisato Kimura, Kunio Kashino, Brian Kenji Iwana, Seiichi Uchida
2021	J	`jnl`	Dynamic Data Augmentation with Gating Networks. CoRR Daisuke Oba, Shinnosuke Matsuo, Brian Kenji Iwana
2021	Misc	`conf`	Self-Augmented Multi-Modal Feature Embedding. ICASSP Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana
2021	J	`jnl`	Self-Augmented Multi-Modal Feature Embedding. CoRR Shinnosuke Matsuo, Seiichi Uchida, Brian Kenji Iwana
2019	—	`conf`	A Convolutional Dictionary Learning based l1 Norm Error with Smoothed l0 Norm Regression. ISPACS Kaede Kumamoto, Shinnosuke Matsuo, Yoshimitsu Kuroki