| Online prediction under submodular constraints D Suehiro, K Hatano, S Kijima, E Takimoto, K Nagano International Conference on Algorithmic Learning Theory, 260-274, 2012 | 35 | 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 | 18 | 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 | 15 | 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 | 6 | 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 |
| 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 | 3 | 2017 |
| 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 |
| 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 |
| No Regret Sample Selection with Noisy Labels N Mitsuo, S Uchida, D Suehiro arXiv preprint arXiv:2003.03179, 2020 | | 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 | | 2020 |
| An Application of Multiple-Instance Learning to Estimate Generalization Risk D Suehiro arXiv preprint arXiv:1911.05999, 2019 | | 2019 |
| 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 |
| 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 |
| Efficient Reformulation of 1-Norm Ranking SVM D Suehiro, K Hatano, E Takimoto IEICE TRANSACTIONS on Information and Systems 101 (3), 719-729, 2018 | | 2018 |
| Boosting the kernelized shapelets: Theory and algorithms for local features D Suehiro, K Hatano, E Takimoto, S Yamamoto, K Bannai, A Takeda arXiv preprint arXiv:1709.01300, 2017 | | 2017 |
| TIME-SERIES DATA WAVEFORM ANALYSIS DEVICE, METHOD THEREFOR AND NON-TRANSITORY COMPUTER READABLE MEDIUM D Suehiro, T Ohgushi US Patent 20,170,227,584, 2017 | | 2017 |
