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ORCIDRyotaro Shimizu
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2020 – today
- 2025
[j4]Tokimasa Isomura
, Ryotaro Shimizu, Masayuki Goto:
LLMOverTab: Tabular data augmentation with language model-driven oversampling. Expert Syst. Appl. 264: 125852 (2025)- 2024
- [c2]Yuki Hirakawa, Takashi Wada, Kazuya Morishita, Ryotaro Shimizu, Takuya Furusawa, Sai Htaung Kham, Yuki Saito:
An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation. SIGGRAPH Asia Technical Communications 2024: 24:1-24:4 - [i8]Masanari Kimura, Ryotaro Shimizu, Yuki Hirakawa, Ryosuke Goto, Yuki Saito:
On permutation-invariant neural networks. CoRR abs/2403.17410 (2024) - [i7]Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu, Yuki Saito:
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property. CoRR abs/2405.14522 (2024) - [i6]Ryotaro Shimizu, Yu Wang, Masanari Kimura, Yuki Hirakawa, Takashi Wada, Yuki Saito, Julian J. McAuley:
A Fashion Item Recommendation Model in Hyperbolic Space. CoRR abs/2409.02599 (2024) - [i5]Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto:
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. CoRR abs/2409.12597 (2024) - [i4]Ryotaro Shimizu, Takashi Wada, Yu Wang, Johannes Kruse, Sean O'Brien, Sai Htaung Kham, Linxin Song, Yuya Yoshikawa, Yuki Saito, Fugee Tsung, Masayuki Goto, Julian J. McAuley:
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. CoRR abs/2410.13248 (2024) - [i3]Yuki Hirakawa, Takashi Wada, Kazuya Morishita, Ryotaro Shimizu, Takuya Furusawa, Sai Htaung Kham, Yuki Saito:
An Empirical Analysis of GPT-4V's Performance on Fashion Aesthetic Evaluation. CoRR abs/2410.23730 (2024) - 2023
- [j3]Ryotaro Shimizu, Yuki Saito, Megumi Matsutani, Masayuki Goto:
Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags. Expert Syst. Appl. 213(Part): 119167 (2023) - [j2]Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto:
Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning. Knowl. Based Syst. 277: 110791 (2023) - [c1]Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto:
Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. CVPR Workshops 2023: 3497-3502 - 2022
- [j1]Ryotaro Shimizu, Megumi Matsutani, Masayuki Goto:
An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information. Knowl. Based Syst. 239: 107970 (2022) - [i2]Ryotaro Shimizu, Masanari Kimura, Masayuki Goto:
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. CoRR abs/2210.17417 (2022) - [i1]Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto:
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. CoRR abs/2211.06688 (2022)
Coauthor Index
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