Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu. Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection with Disagreement. IEEE Access. 2021. 9. 141131-141143
YOSHIDA,Soh, MUNEYASU,Mitsuji, OGAWA,Takahiro, HASEYAMA,Miki. Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2020. Vol.E103-A. No.12. 1529-1540
Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media
(2022 IEEE 11th Global Conference on Consumer Electronics 2022)
A Robust Learning Framework Using Self-Supervised Learning for Learning With Noisy Labels
(2022 IEEE 11th Global Conference on Consumer Electronics 2022)
Propagation-Based Fake News Detection Using a Combination of Different Content Features
(2022 IEEE 11th Global Conference on Consumer Electronics 2022)
Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices
(2021 International Symposium on Intelligent Signal Processing and Communication Systems 2021)
2022/10 - IEEE GCCE 2022 IEEE GCCE 2022 Excellent Poster Award IEEE Consumer Electronics Society Propagation-Based Fake News Detection Using a Combination of Different Content Features
2019/03 - 電子情報通信学会 スマートインフォメディアシステム研究会 若手研究優秀賞
2018/10/12 - IEEE Consumer Electronics Society IEEE GCCE 2018 Excellent Poster Award
2017/03/24 - 電子情報通信学会 学術奨励賞
2016/02/02 - 電子情報通信学会 若手奨励賞
2015/12/15 - 映像情報メディア学会 優秀研究発表賞
2014/03/25 - 電子情報通信学会 学生員奨励賞
全件表示
所属学会 (4件):
ACM(Association for Computing Machinery)
, IEEE(The Institute of Electrical and Electronics Engineers, Inc.)
, 映像情報メディア学会
, 電子情報通信学会