Yutaro Shigeto
Yutaro Shigeto
STAIR Lab, Chiba Institute of Technology
Verified email at stair.center - Homepage
Cited by
Cited by
Ridge Regression, Hubness, and Zero-Shot Learning
Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto
European Conference on Machine Learning and Knowledge Discovery in Databases …, 2015
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset
Y Yoshikawa, Y Shigeto, A Takeuchi
Annual Meeting of the Association for Computational Linguistics (ACL), 417-421, 2017
Construction of English MWE Dictionary and its Application to POS Tagging
Y Shigeto, A Azuma, S Hisamoto, S Kondo, T Kose, K Sakaguchi, ...
Workshop on Multiword Expressions, 139-144, 2013
Video Caption Dataset for Describing Human Actions in Japanese
Y Shigeto, Y Yoshikawa, J Lin, A Takeuchi
International Conference on Language Resources and Evaluation (LREC), 4664-4670, 2020
MetaVD: A Meta Video Dataset for enhancing human action recognition datasets
Y Yoshikawa, Y Shigeto, A Takeuchi
Computer Vision and Image Understanding 212, 103276, 2021
Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-Labeling using Radiology Reports
Y Momoki, A Ichinose, Y Shigeto, U Honda, K Nakamura, Y Matsumoto
IEEE Transactions on Circuits and Systems for Video Technology, 2021
A Simple Reranking Method for Knowledge Graph Completion
L Yuxun, Y Shigeto, K Hayashi, M Shimbo
Ridge Regression for Improving the Accuracy of k-Nearest Neighbor Classification
Y Shigeto, M Shimbo, Y Matsumoto
IEICE Technical Report; IEICE Tech. Rep. 117 (211), 113-119, 2017
A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
Y Shigeto, M Shimbo, Y Matsumoto
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 17-29, 2017
Improving Nearest Neighbor Methods from the Perspective of Hubness Phenomenon
Y Shigeto
Nara Institute of Science and Technology, 2017
ハブの抑制によるコンパラブルコーパスからの対訳抽出精度の改善; ハブの抑制によるコンパラブルコーパスからの対訳抽出精度の改善; Reducing Hub Translation Candidates Improves the Accuracy of …
Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto
Transactions of the Japanese Society for Artificial Intelligence 31 (2), E-F43, 2016
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