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ORCIDKazushi Okamoto
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2020 – today
- 2024
[j8]Yuma Nagi, Kazushi Okamoto:
A Personalised Session-Based Recommender System with Sequential Updating Based on Aggregation of Item Embeddings. IEICE Trans. Inf. Syst. 107(5): 638-649 (2024)- [j7]Kai Sugahara
, Kazushi Okamoto:
Hierarchical matrix factorization for interpretable collaborative filtering. Pattern Recognit. Lett. 180: 99-106 (2024) - [c12]Kai Sugahara, Chihiro Yamasaki, Kazushi Okamoto:
Is It Really Complementary? Revisiting Behavior-based Labels for Complementary Recommendation. RecSys 2024: 1091-1095 - [i2]Yu Tokutake, Kazushi Okamoto:
Can Large Language Models Assess Serendipity in Recommender Systems? CoRR abs/2404.07499 (2024) - 2023
- [j6]Kai Sugahara, Kazushi Okamoto:
Hierarchical co-clustering with augmented matrices from external domains. Pattern Recognit. 142: 109657 (2023) - [c11]Yu Tokutake, Kazushi Okamoto:
Serendipity-Oriented Recommender System with Dynamic Unexpectedness Prediction. SMC 2023: 1247-1252 - [i1]Kai Sugahara, Kazushi Okamoto:
Hierarchical Matrix Factorization for Interpretable Collaborative Filtering. CoRR abs/2311.13277 (2023) - 2022
- [c10]Satoshi Yamada, Kazushi Okamoto, Atsushi Shibata:
Sequential Estimation of Prices of Newly Built Houses in Tokyo Using the Linear State Space Model. SCIS/ISIS 2022: 1-6 - 2020
- [c9]Ryosuke Hattori, Kazushi Okamoto, Atsushi Shibata:
Visualizing the Importance of Floor-Plan Image Features in Rent-Prediction Models. SCIS/ISIS 2020: 1-3 - [c8]Kanta Nakamura, Kazushi Okamoto:
Directed Graph-based Researcher Recommendation by Random Walk with Restart and Cosine Similarity. SCIS/ISIS 2020: 1-5
2010 – 2019
- 2019
- [c7]Ryosuke Hattori, Kazushi Okamoto, Atsushi Shibata:
Rent Prediction Models with Floor Plan Images. GCCE 2019: 451-452 - 2018
- [j5]Yuta Segawa, Kazuhiko Kawamoto, Kazushi Okamoto:
First-person reading activity recognition by deep learning with synthetically generated images. EURASIP J. Image Video Process. 2018: 33 (2018) - [j4]Kazushi Okamoto:
Analysis of Influence Factors for Learning Outcomes with Bayesian Network. J. Adv. Comput. Intell. Intell. Informatics 22(6): 943-955 (2018) - 2017
- [j3]Kazushi Okamoto:
Families of Triangular Norm-Based Kernel Functions and Their Application to Kernel k-Means. J. Adv. Comput. Intell. Intell. Informatics 21(3): 534-542 (2017) - [c6]Kazuhiko Kawamoto, Yoshiyuki Tomura, Kazushi Okamoto:
Kriging-based prediction and interpolation for modeling pedestrian dynamics. IFSA-SCIS 2017: 1-4 - 2016
- [c5]Kazuhiko Kawamoto, Yoshiyuki Tomura, Kazushi Okamoto:
Learning pedestrian dynamics with kriging. ICIS 2016: 1-4 - [c4]Kazushi Okamoto:
Text analysis of academic papers archived in institutional repositories. ICIS 2016: 1-6 - [c3]Kazushi Okamoto:
Families of Triangular Norm Based Kernel Function and Its Application to Kernel k-Means. SCIS&ISIS 2016: 420-425 - 2013
- [c2]Kazuhiko Kawamoto, Hikaru Kazama, Kazushi Okamoto:
Visual Localization Using Voting Based Image Retrieval and Particle Filtering in Indoor Scenes. RVSP 2013: 160-163 - 2012
- [j2]Kazushi Okamoto, Kazuhiko Kawamoto, Fangyan Dong, Shin-ichi Yoshida, Kaoru Hirota:
An Evaluation Strategy for Visual Key Image Retrieval on Mobile Devices. J. Adv. Comput. Intell. Intell. Informatics 16(6): 713-722 (2012) - [c1]Kazuhiko Kawamoto, Tatsuya Yonekawa, Kazushi Okamoto:
Visual vehicle tracking based on an appearance generative model. SCIS&ISIS 2012: 711-714 - 2011
- [j1]Kazushi Okamoto, Fangyan Dong, Shin-ichi Yoshida, Kaoru Hirota:
Content-Based Image Retrieval via Combination of Similarity Measures. J. Adv. Comput. Intell. Intell. Informatics 15(6): 687-697 (2011)
Coauthor Index
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