2007
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Takuya Furukawa Forestry and Forest Products Research Institute Verified email at affrc.go.jp. Hannah Windley Australian National University Verified email at anu.edu.au. ... JJ Sato, T Shimada, D Kyogoku, T Komura, S Uemura, T Saitoh, Y Isagi. Journal of Mammalogy 99 (4), 952-964, 2018. 42:
13 de abr. de 2021 · Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama; Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. Neural Comput 2021; 33 (5): 1234–1268. doi: https://doi.org/10.1162/neco_a_01373
Takuya Shimada • European University Institute. Researcher. Department of History. Research projects, clusters and working groups. Completed. Decentering Eurocentrism. Thesis title. The Tensho Embassy in Italy (1585): Sixteenth-century Italian understandings of Japan and Japanese culture. Supervisor. Giancarlo Casale. 2nd reader. Lucy Riall.
Takuya Shimada1, Han Bao1,2, Issei Sato1,2, and Masashi Sugiyama2,1. 1The University of Tokyo. 2RIKEN. Abstract. Pairwise similarities and dissimilarities between data points might be easier to obtain than fully labeled data in real-world classification problems, e.g., in privacy-aware situations.
The Science of Nature. 2023-12 | Journal article. DOI: 10.1007/s00114-023-01881-6. Contributors : Takuya Shimada; Kimiko Okabe; Shun’ichi Makino; Shoko Nakamura; Saori Fujii. Show more detail. Source : check_circle. Crossref. Resource allocation strategies in the reproductive organs of Fagaceae species. Ecological Research.
21 de sept. de 2007 · As You Like It: Directed by Kenneth Branagh. With Takuya Shimada, Brian Blessed, Richard Clifford, Bryce Dallas Howard. A daughter of the powerful Duke must show her courage and inventiveness to be with the man she loves.
20 de jun. de 2019 · Takuya Shimada, Shoichiro Yamaguchi, Kohei Hayashi, Sosuke Kobayashi. Data augmentation by mixing samples, such as Mixup, has widely been used typically for classification tasks. However, this strategy is not always effective due to the gap between augmented samples for training and original samples for testing.
