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Kazuma Ohtomo
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2020 – today
- 2024
- [j2]Kazuma Ohtomo
, Ryosuke Harakawa
AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation. IEEE Access 12: 12720-12733 (2024) - 2023
- [c4]Kazuma Ohtomo, Yukina Kitahara, Ryosuke Harakawa, Akihiro Nakamura, Yosuke Shida, Wataru Ogasawara, Masahiro Iwahashi:
Micro-Spatial Attention with Sparse Constraint for Self-Supervised Learning for Oleaginous Yeast Image Representation. VCIP 2023: 1-5 - 2022
- [j1]Kazuma Ohtomo
User-centric multimodal feature extraction for personalized retrieval of tumblr posts. Multim. Tools Appl. 81(2): 2979-3003 (2022) - 2021
- [c3]Kazuma Ohtomo, Ryosuke Harakawa, Masaki Iisaka, Masahiro Iwahashi:
Sequential Recommender System of Educational Contents with End-to-End Title Feature Extraction for Reducing Utility Gap. GCCE 2021: 197-199 - [c2]Ryosuke Harakawa, Kazuma Ohtomo, Koki Takahashi, Yoko Matsuda, Masahiro Iwahashi:
Hierarchical Clustering of Natural Disaster Images Using Visual Features. LifeTech 2021: 120-121 - 2020
- [c1]Kazuma Ohtomo, Ryosuke Harakawa, Masaki Iisaka, Masahiro Iwahashi:
Data Augmentation Using User Attention for Educational Content Recommendation Based on FFM. GCCE 2020: 407-408
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