Kenichi Bannai

According to our database, Kenichi Bannai authored at least 4 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Theory and Algorithms for Shapelet-Based Multiple-Instance Learning.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda

Neural Comput., 2020

2019

Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.

Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda

CoRR, 2018

2017

Boosting the kernelized shapelets: Theory and algorithms for local features.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda

CoRR, 2017