| An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information R Shimizu, M Matsutani, M Goto Knowledge-Based Systems 239, 107970, 2022 | 73 | 2022 |
| Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags R Shimizu, Y Saito, M Matsutani, M Goto Expert Systems with Applications 213, 119167, 2023 | 27 | 2023 |
| Multiple treatment effect estimation for business analytics using observational data Y Tsuboi, Y Sakai, R Shimizu, M Goto Cogent Engineering 11 (1), 2300557, 2024 | 7* | 2024 |
| On permutation-invariant neural networks M Kimura, R Shimizu, Y Hirakawa, R Goto, Y Saito arXiv preprint arXiv:2403.17410, 2024 | 5 | 2024 |
| Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning R Shimizu, T Nakamura, M Goto Knowledge-Based Systems 277, 110791, 2023 | 5 | 2023 |
| Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding R Shimizu, T Nakamura, M Goto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Fashion-specific attributes interpretation via dual gaussian visual-semantic embedding R Shimizu, M Kimura, M Goto arXiv preprint arXiv:2210.17417, 2022 | 5 | 2022 |
| A latent class analysis for item demand based on temperature difference and store characteristics Y Seko, R Shimizu, G Kumoi, T Yoshikai, M Goto Industrial Engineering & Management Systems 20 (1), 35-47, 2021 | 5 | 2021 |
| Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation Y Naraki, R Yamaki, Y Ikeda, T Horie, K Yoshida, R Shimizu, ... arXiv preprint arXiv:2404.01334, 2024 | 4 | 2024 |
| Recommendation item selection algorithm considering the recommendation region in embedding space and new evaluation Metric T Amano, R Shimizu, M Goto Industrial Engineering & Management Systems 22 (3), 340-348, 2023 | 4 | 2023 |
| An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation Y Hirakawa, T Wada, K Morishita, R Shimizu, T Furusawa, SH Kham, ... SIGGRAPH Asia 2024 Technical Communications, 1-4, 2024 | 3 | 2024 |
| Latent variable models for integrated analysis of credit and point usage history data on rewards credit card system R Shimizu, H Yamashita, M Ueda, R Tanaka, T Tachibana, M Goto International Business Research 13 (3), 106-117, 2020 | 3 | 2020 |
| Proposal of a Purchase Behavior Analysis Model on an Electronic Commerce Site Using Questionnaire Data R Shimizu, T Sakamoto, H Yamashita, M Goto Total Quality Science 4 (1), 1-12, 2018 | 3 | 2018 |
| Lare: Latent augmentation using regional embedding with vision-language model K Sakurai, T Ishii, R Shimizu, L Song, M Goto arXiv preprint arXiv:2409.12597, 2024 | 2 | 2024 |
| Optimizing FT-Transformer: Sparse Attention for Improved Performance and Interpretability T Isomura, R Shimizu, M Goto Industrial Engineering & Management Systems 23 (2), 253-266, 2024 | 2 | 2024 |
| A Fashion Item Recommendation Model in Hyperbolic Space R Shimizu, Y Wang, M Kimura, Y Hirakawa, T Wada, Y Saito, J McAuley Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| アンケートデータを考慮した EC サイトの購買履歴分析モデルの提案 清水良太郎， 坂元哲平， 山下遥， 後藤正幸 経営システム= Communications of Japan Industrial Management Association 27 …, 2017 | 2 | 2017 |
| LLMOverTab: Tabular data augmentation with language model-driven oversampling T Isomura, R Shimizu, M Goto Expert Systems with Applications 264, 125852, 2025 | 1* | 2025 |
| Effectiveness verification framework for coupon distribution marketing measure considering users’ potential purchase intentions A Yoneda, R Shimizu, S Sakurai, M Kawata, H Yamashita, M Goto Cogent Engineering 11 (1), 2307718, 2024 | 1 | 2024 |
| Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation R Shimizu, T Wada, Y Wang, J Kruse, S O'Brien, S HtaungKham, L Song, ... arXiv preprint arXiv:2410.13248, 2024 | 1 | 2024 |
Masanari KimuraUniversity of MelbourneAdresse e-mail validée de unimelb.edu.au
