Publications

Hisao Katsumi, Kohsuke Kubota, Wataru Yamada, Keiichi Ochiai (2023). Stay Ahead of the Competition: An Approach for Churn Prediction by Leveraging Competitive Service App Usage Logs. In UbiComp/ISWC ‘23 Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing.
DOI
Kohsuke Kubota, Hiroyuki Sato, Wataru Yamada, Keiichi Ochiai, Hiroshi Kawakami (2022). Content-based stock recommendation using smartphone data. In Journal of Information Processing, Specially Selected Paper (top 10%).
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Kohsuke Kubota, Keiichi Ochiai (2020). Time-aware GCN: Representation Learning for Mobile App Usage Time-series Data. In KDD 2020 The Second International Workshop on Deep Learning on Graphs:Methods and Applications.
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