Online prediction under submodular constraints D Suehiro, K Hatano, S Kijima, E Takimoto, K Nagano International Conference on Algorithmic Learning Theory, 260-274, 2012 | 43 | 2012 |
Real-time learning analytics for c programming language courses X Fu, A Shimada, H Ogata, Y Taniguchi, D Suehiro Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017 | 24 | 2017 |
M2B System: A Digital Learning Platform for Traditional Classrooms in University H Ogata, Y Taniguchi, D Suehiro, A Shimada, M Oi, F Okubo, M Yamada, ... The 7th International Conference on Learning Analytics & Knowledge …, 2017 | 21 | 2017 |
Revealing hidden impression topics in students’ journals based on nonnegative matrix factorization Y Taniguchi, D Suehiro, A Shimada, H Ogata 2017 IEEE 17th International Conference on Advanced Learning Technologies …, 2017 | 10 | 2017 |
Face-to-face teaching analytics: Extracting teaching activities from e-book logs via time-series analysis D Suehiro, Y Taniguchi, A Shimada, H Ogata 2017 IEEE 17th International Conference on Advanced Learning Technologies …, 2017 | 5 | 2017 |
SVM による 2 部ランキング学習を用いたコンピュータ将棋における評価関数の学習 末廣大貴, 畑埜晃平, 坂内英夫, 瀧本英二, 竹田正幸 電子情報通信学会論文誌 D 97 (3), 593-600, 2014 | 5 | 2014 |
Approximate reduction from AUC maximization to 1-norm soft margin optimization D Suehiro, K Hatano, E Takimoto International Conference on Algorithmic Learning Theory, 324-337, 2011 | 5 | 2011 |
Time Series Classification Based on Random Shapelets D Suehiro, K Kuwahara, K Hatano, E Takimoto https://sites.google.com/site/nipsts2016/NIPS_2016_TSW_paper_42.pdf …, 2016 | 3 | 2016 |
Theory and Algorithms for Shapelet-Based Multiple-Instance Learning D Suehiro, K Hatano, E Takimoto, S Yamamoto, K Bannai, A Takeda Neural Computation 32 (8), 1580-1613, 2020 | 1 | 2020 |
No Regret Sample Selection with Noisy Labels H Song, N Mitsuo, S Uchida, D Suehiro arXiv preprint arXiv:2003.03179, 2020 | 1* | 2020 |
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound H Song, D Suehiro, S Uchida The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 …, 2020 | 1 | 2020 |
Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers D Suehiro, K Hatano, E Takimoto, S Yamamoto, K Bannai, A Takeda arXiv preprint arXiv:1811.08084, 2018 | 1 | 2018 |
カーネル法を用いたコンピュータ将棋の評価関数の学習 末廣大貴, 畑埜晃平, 坂内英夫, 瀧本英二, 竹田正幸 ゲームプログラミングワークショップ 2010 論文集 2010 (12), 23-27, 2010 | 1 | 2010 |
SVM によるバイパータイトランキング学習を用いたコンピュータ将棋における評価関数の学習 末廣大貴, 畑埜晃平, 坂内英夫, 瀧本英二, 竹田正幸 電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習= IEICE …, 2010 | 1 | 2010 |
AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee H Song, D Suehiro, S Uchida arXiv preprint arXiv:2009.09237, 2020 | | 2020 |
Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning D Suehiro, E Takimoto arXiv preprint arXiv:1911.05999v2, 2020 | | 2020 |
Optimal Rejection Function Meets Character Recognition Tasks X Ji, Y Zheng, D Suehiro, S Uchida Asian Conference on Pattern Recognition (ACPR) 2019, 169-183, 2019 | | 2019 |
弱教師学習問題における最適局所特徴抽出および樹状突起スパイン検出への応用 T YAHIRO, D SUEHIRO, R MOTODATE, T SUZUKI, S UCHIDA 電子情報通信学会技術研究報告 118 (412 (MI2018 59-115)(Web)), 121-126, 2019 | | 2019 |
Logo Design Analysis by Ranking T Karamatsu, D Suehiro, S Uchida 15th International Conference on Document Analysis and Recognition, 1482-1487, 2019 | | 2019 |
RankSVM for Offline Signature Verification Y Zheng, Y Zheng, W Ohyama, D Suehiro, S Uchida 15th International Conference on Document Analysis and Recognition, 928-933, 2019 | | 2019 |