A Convolutional Dictionary Learning based l1 Norm Error with Smoothed l0 Norm Regression. - Kaede Kumamoto; Shinnosuke Matsuo; Yoshimitsu Kuroki (ISPACS, 2019)

Self-Augmented Multi-Modal Feature Embedding. - Shinnosuke Matsuo; Seiichi Uchida; Brian Kenji Iwana (ICASSP, 2021)

Attention to Warp: Deep Metric Learning for Multivariate Time Series. - Shinnosuke Matsuo; Xiaomeng Wu; Gantugs Atarsaikhan; Akisato Kimura; Kunio Kashino; Brian Kenji Iwana; Seiichi Uchida (ICDAR (3), 2021)

Dynamic Data Augmentation with Gating Networks. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (CoRR, 2021)

Dynamic Data Augmentation with Gating Networks for Time Series Recognition. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (ICPR, 2022)

Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization. - Shinnosuke Matsuo; Ryoma Bise; Seiichi Uchida; Daiki Suehiro (ICASSP, 2023)

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. - Takanori Asanomi; Shinnosuke Matsuo; Daiki Suehiro; Ryoma Bise (ICCV, 2023)

Boosting for Bounding the Worst-class Error. - Yuya Saito; Shinnosuke Matsuo; Seiichi Uchida; Daiki Suehiro (CoRR, 2023)

Deep attentive time warping. - Shinnosuke Matsuo; Xiaomeng Wu; Gantugs Atarsaikhan; Akisato Kimura; Kunio Kashino; Brian Kenji Iwana; Seiichi Uchida (Pattern Recognit., 2023)

Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags. - Shunsuke Kubo; Shinnosuke Matsuo; Daiki Suehiro; Kazuhiro Terada; Hiroaki Ito; Akihiko Yoshizawa; Ryoma Bise (ECAI, 2024)

Test-Time Augmentation for Traveling Salesperson Problem. - Ryo Ishiyama; Takahiro Shirakawa; Seiichi Uchida; Shinnosuke Matsuo (ICANN (1), 2024)

Counting Network for Learning from Majority Label. - Kaito Shiku; Shinnosuke Matsuo; Daiki Suehiro; Ryoma Bise (ICASSP, 2024)

Learning from Partial Label Proportions for Whole Slide Image Segmentation. - Shinnosuke Matsuo; Daiki Suehiro; Seiichi Uchida; Hiroaki Ito; Kazuhiro Terada; Akihiko Yoshizawa; Ryoma Bise (MICCAI (11), 2024)

Instance-wise Supervision-level Optimization in Active Learning. - Shinnosuke Matsuo; Riku Togashi; Ryoma Bise; Seiichi Uchida; Masahiro Nomura (CVPR, 2025)

Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling. - Takumi Okuo; Shinnosuke Matsuo; Shota Harada; Kiyohito Tanaka; Ryoma Bise (CoRR, 2025)

Computer-Aided Multi-Stroke Character Simplification by Stroke Removal. - Ryo Ishiyama; Shinnosuke Matsuo; Seiichi Uchida (CoRR, 2025)