Daiki Suehiro
Daiki Suehiro
Faculty of Information Science and Electrical Engineering, Kyushu University / AIP, RIKEN
Verified email at ait.kyushu-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Online prediction under submodular constraints
D Suehiro, K Hatano, S Kijima, E Takimoto, K Nagano
International Conference on Algorithmic Learning Theory, 260-274, 2012
432012
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
242017
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
212017
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
102017
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
52017
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
52014
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
52011
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
32016
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
12020
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
12020
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
12018
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
12010
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
12010
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
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