| 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 | 356 | 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 | 151 | 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 | 35 | 2013 |
| 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 32 (5), 2582-2591, 2021 | 11 | 2021 |
| 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 | 10 | 2021 |
| Predicting how CNN training time changes on various mini-batch sizes by considering convolution algorithms and non-GPU time P Bryzgalov, T Maeda, Y Shigeto Proceedings of the 2021 on Performance EngineeRing, Modelling, Analysis, and …, 2021 | 5 | 2021 |
| 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 | 4 | 2020 |
| Action class relation detection and classification across multiple video datasets Y Yoshikawa, Y Shigeto, M Shimbo, A Takeuchi Pattern Recognition Letters 173, 93-100, 2023 | 2 | 2023 |
| Learning Decorrelated Representations Efficiently Using Fast Fourier Transform Y Shigeto, M Shimbo, Y Yoshikawa, A Takeuchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Rethinking Loss Functions for Fact Verification Y Mukobara, Y Shigeto, M Shimbo Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 1 | 2024 |
| 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 | 1 | 2017 |
| A Simple Reranking Method for Knowledge Graph Completion L Yuxun, Y Shigeto, K Hayashi, M Shimbo | | 2019 |
| 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 | | 2017 |
| A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs Y Matsumoto, M Shimbo, Y Shigeto (No Title), 2017 | | 2017 |
| Improving Nearest Neighbor Methods from the Perspective of Hubness Phenomenon Y Shigeto Nara Institute of Science and Technology, 2017 | | 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 | | 2016 |
Masashi ShimboSTAIR Lab, Chiba Institute of TechnologyZweryfikowany adres z stair.center
