Publications

Refereed Journal paper

末廣 大貴,畑埜 晃平,坂内 英夫,瀧本 英二,竹田 正幸,“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,電子情報通信学会論文誌 D, 情報・システム J97-D(3), pp.593--600, 2014.3.


Refereed Conference paper

Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata, “Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-book Logs via Time-Series Analysis”, The 17th IEEE International Conference on Advanced Learning Technologies, pp.267--268, 2017.7.

Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada and Hiroaki Ogata, “Revealing Hidden Impression Topics in Students’ Journals Based on Nonnegative Matrix Factorization”. The 17th IEEE International Conference on Advanced Learning Technologies, pp.298--300, 2017.7. 

Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Misato Oi, Fumiya Okubo, Masanori Yamada, Kentaro Kojima, “M2B System: A Digital Learning Platform for Traditional Classrooms in University”, Practitioner Track Proceedings of the 7th International on Learning Analytics & Knowledge Conference, pp.155--162, 2017.3.

Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro, “Real-time learning analytics for C programming language courses”, Proceedings of the 7th International on Learning Analytics & Knowledge Conference 2017, pp.280--288, 2017.3.   

Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano, “Online Prediction under Submodular Constraints”, In proceedings of the 23rd International Conference on Algorithmic Learning Theory 2012, pp.260--274, 2012.10.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, “Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization”, In proceedings of the 22nd International Conference on Algorithmic Learning Theory 2011, pp.324--337, 2011.10.


Refereed Workshops

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Akiko Takeda, "Learning theory and algorithms for shapelets and other local features", NIPS Time Series Workshop 2017, 2017.12. (accepted as an oral presentation)

Daiki Suehiro, Kengo Kuwahara, Kohei Hatano, Eiji Takimoto, “Time Series Classification Based on Random Shapelets”, NIPS Time Series Workshop 2016, 2016.12. (private communication, paper)  

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Kijima, Kiyohito Nagano, “Online Prediction over Base Polyhedra”, NIPS 2012 Workshop on Discrete Optimization in Machine Learning (DISCML) , 2012.12.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization, NIPS 2011 Workshop on Computational Trade-offs in Statistical Learning (COST), 2011.12. 


Domestic conference and others

Huiyong Li, Tomoyuki Tsuchiya, Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Yubun Suzuki, Hiroshi Ohashi, Hiroaki Ogata, “Behavioral Analysis and Visualization on Learning Logs from CALL Courses” 31 回人工知能学会全国大会, 2017.5.

末廣 大貴,毛利 孝佑,谷口雄太,大久保 文哉,島田 敬士,緒方 広明,教育データのオープン化に向け,信学技報, vol.116, no.259, PRMU2016-105, pp.79--84, 2016.10.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, “Efficient AUC Maximization by Approximate Reduction of Ranking SVMs”,The 4th Asian Conference on Machine Learning (ACML 2012), 2012.11. (only poster presentation)

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, “Efficient AUC Maximization by Approximate Reduction of Ranking SVMs”,  IEICE technical report. IBISML, Information-based induction sciences and machine learning 112(279), pp.243--249, 2012.10.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, “Approximate Reduction from AUC Maximization to 1-norm Soft Margin Optimization”, IEICE technical report. IBISML, Information-based induction sciences and machine learning 111(275), pp.39--46, 2011.11. (Award: Honorable Mention)

末廣 大貴,畑埜 晃平,坂内 英夫,瀧本 英二,竹田 正幸,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,ゲームプログラミングワークショップ 2010 論文集 2010(12)pp 23--27, 2010.11.(査読あり)



Patent

末廣大貴, 大串俊明,"時系列データ波形分析装置、方法、及びプログラム",Patent number: P2017-138929A, Application number: P2016-21313.

Daiki Suehiro, Toshiaki Ohgushi, "TIME-SERIES DATA WAVEFORM ANALYSIS DEVICE, METHOD THEREFOR AND NON-TRANSITORY COMPUTER READABLE MEDIUM", Patent number: 20170227584, Application number: 15261165.