Daiki Suehiro

According to our database, Daiki Suehiro authored at least 27 papers between 2011 and 2024.

Collaborative distances:

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

2024

No regret sample selection with noisy labels.

Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro

Mach. Learn., 2024

Counting Network for Learning from Majority Label.

Kaito Shiku, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise

CoRR, 2024

2023

Paired contrastive feature for highly reliable offline signature verification.

Xiaotong Ji, Daiki Suehiro, Seiichi Uchida

Pattern Recognit., December, 2023

Boosting for Bounding the Worst-class Error.

Yuya Saito, Shinnosuke Matsuo, Seiichi Uchida, Daiki Suehiro

CoRR, 2023

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions.

Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning From Label Proportion with Online Pseudo-Label Decision by Regret Minimization.

Shinnosuke Matsuo, Ryoma Bise, Seiichi Uchida, Daiki Suehiro

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning.

Daiki Suehiro, Eiji Takimoto

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Revealing Reliable Signatures by Learning Top-Rank Pairs.

Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida

Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2021

Top-rank convolutional neural network and its application to medical image-based diagnosis.

Yan Zheng, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida

Pattern Recognit., 2021

Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification.

Kazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Top-Rank Learning Robust to Outliers.

Yan Zheng, Daiki Suehiro, Seiichi Uchida

Proceedings of the Neural Information Processing - 28th International Conference, 2021

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

AAA: Adaptive Aggregation of Arbitrary Online Trackers with Theoretical Performance Guarantee.

Heon Song, Daiki Suehiro, Seiichi Uchida

CoRR, 2020

No Regret Sample Selection with Noisy Labels.

Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro

CoRR, 2020

Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound.

Heon Song, Daiki Suehiro, Seiichi Uchida

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

An Application of Multiple-Instance Learning to Estimate Generalization Risk.

Daiki Suehiro

CoRR, 2019

RankSVM for Offline Signature Verification.

Yan Zheng, Yuchen Zheng, Wataru Ohyama, Daiki Suehiro, Seiichi Uchida

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Logo Design Analysis by Ranking.

Takuro Karamatsu, Daiki Suehiro, Seiichi Uchida

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Optimal Rejection Function Meets Character Recognition Tasks.

Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Efficient Reformulation of 1-Norm Ranking SVM.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto

IEICE Trans. Inf. Syst., 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

Real-time learning analytics for C programming language courses.

Xinyu Fu, Atsushi Shimada, Hiroaki Ogata, Yuta Taniguchi, Daiki Suehiro

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Revealing Hidden Impression Topics in Students' Journals Based on Nonnegative Matrix Factorization.

Yuta Taniguchi, Daiki Suehiro, Atsushi Shimada, Hiroaki Ogata

Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017

Face-to-Face Teaching Analytics: Extracting Teaching Activities from E-Book Logs via Time-Series Analysis.

Daiki Suehiro, Yuta Taniguchi, Atsushi Shimada, Hiroaki Ogata

Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017

2012

Online Prediction under Submodular Constraints.

Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Kiyohito Nagano

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011

Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization.

Daiki Suehiro, Kohei Hatano, Eiji Takimoto

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011