| Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training S Kitada, H Iyatomi IEEE Access 9, 92974 - 92985, 2021 | 27 | 2021 |
| Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning S Kitada, H Iyatomi arXiv preprint arXiv:1809.02568, 2018 | 23 | 2018 |
| Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative S Kitada, H Iyatomi, Y Seki Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 13 | 2019 |
| Making attention mechanisms more robust and interpretable with virtual adversarial training S Kitada, H Iyatomi Applied Intelligence 53 (12), 15802-15817, 2023 | 10 | 2023 |
| End-to-end text classification via image-based embedding using character-level networks S Kitada, R Kotani, H Iyatomi IEEE Applied Imagery Pattern Recognition (AIPR) Workshop, 1-4, 2018 | 6 | 2018 |
| Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation T Aoki, S Kitada, H Iyatomi Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 3 | 2020 |
| AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss M Daif, S Kitada, H Iyatomi Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 3 | 2020 |
| Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents T Nakagawa, S Kitada, H Iyatomi Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| DM S : Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention S Kitada, Y Iwazaki, R Togashi, H Iyatomi IEEE Access 10, 120023 - 120034, 2022 | 1 | 2022 |
| Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks S Kitada, H Iyatomi, Y Seki Applied Sciences 12 (7), 3594, 2022 | 1 | 2022 |
| Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model S Iwai, A Osanai, S Kitada, S Omachi arXiv preprint arXiv:2409.16689, 2024 | | 2024 |
| Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition S Nemoto, S Kitada, H Iyatomi arXiv preprint arXiv:2401.11431, 2024 | | 2024 |
| Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives S Kitada arXiv preprint arXiv:2303.14116, 2023 | | 2023 |
| Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired K Ohata, S Kitada, H Iyatomi IEEE 19th International Conference on Smart Communities: Improving Quality …, 2022 | | 2022 |
| From WRIME to WRIME-TC: Enhancing Emotional Analysis of Writers and Readers with Temporal Context T Nakagawa, S Kitada, T Kajiwara, H Iyatomi | | |
Hitoshi IyatomiProfessor, Hosei University, Japan確認したメール アドレス: hosei.ac.jp
