Data Augmentation Using User Attention for Educational Content Recommendation Based on FFM. - Kazuma Ohtomo; Ryosuke Harakawa; Masaki Iisaka; Masahiro Iwahashi (GCCE, 2020)

Sequential Recommender System of Educational Contents with End-to-End Title Feature Extraction for Reducing Utility Gap. - Kazuma Ohtomo; Ryosuke Harakawa; Masaki Iisaka; Masahiro Iwahashi (GCCE, 2021)

Hierarchical Clustering of Natural Disaster Images Using Visual Features. - Ryosuke Harakawa; Kazuma Ohtomo; Koki Takahashi; Yoko Matsuda; Masahiro Iwahashi (LifeTech, 2021)

User-centric multimodal feature extraction for personalized retrieval of tumblr posts. - Kazuma Ohtomo; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama; Masahiro Iwahashi (Multim. Tools Appl., 2022)

Micro-Spatial Attention with Sparse Constraint for Self-Supervised Learning for Oleaginous Yeast Image Representation. - Kazuma Ohtomo; Yukina Kitahara; Ryosuke Harakawa; Akihiro Nakamura; Yosuke Shida; Wataru Ogasawara; Masahiro Iwahashi (VCIP, 2023)

AM-Bi-LSTM: Adaptive Multi-Modal Bi-LSTM for Sequential Recommendation. - Kazuma Ohtomo; Ryosuke Harakawa; Masaki Iisaka; Masahiro Iwahashi (IEEE Access, 2024)