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Takuya Shimada
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2020 – today
- 2023
- [c4]Masanori Hirano
, Kentaro Imajo, Kentaro Minami, Takuya Shimada:
Efficient Learning of Nested Deep Hedging using Multiple Options. IIAI-AAI 2023: 514-521 - 2022
- [c3]Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama:
Pairwise Supervision Can Provably Elicit a Decision Boundary. AISTATS 2022: 2618-2640 - 2021
- [j1]Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama:
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. Neural Comput. 33(5): 1234-1268 (2021) - 2020
- [c2]Yutaro Shimomura, Takuya Shimada, Ryuya Kirihara, Takeshi Kumaki:
Live Demonstration: Development of LED-Based Stego-Panel for New Smartphone Usage. ISCAS 2020: 1 - [i3]Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama:
Similarity-based Classification: Connecting Similarity Learning to Binary Classification. CoRR abs/2006.06207 (2020)
2010 – 2019
- 2019
- [i2]Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama:
Classification from Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. CoRR abs/1904.11717 (2019) - [i1]Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi:
Data Interpolating Prediction: Alternative Interpretation of Mixup. CoRR abs/1906.08412 (2019)
2000 – 2009
- 2007
- [c1]Takuya Shimada, Itaru Kuramoto, Yu Shibuya, Yoshihiro Tsujino:
Keep healthy with fun: an entertainment system for keeping the motivation of daily, dull, and monotone exercise. Advances in Computer Entertainment Technology 2007: 280-281
Coauthor Index
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