Journals

Conferences

• Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara. Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction Proceedings of the IEEE International Conference on Big Data, pages 5611-5619, 2019. The BDTL workshop.
• Daichi Amagata and Takahiro Hara. Correlation Set Discovery on Time-series Data Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 275-290, 2019.
• Shinya Kato, Daichi Amagata, Shunya Nishio, and Takahiro Hara. Discord Monitoring for Streaming Time-series Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 79-94, 2019.
• Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara. Upsampling Inertial Sensor Data from Wearable Smart Devices using Neural Networks Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), pages 1983-1993, 2019.
• Yuan Lyu, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa. Behavior Matching between Different Domains based on Canonical Correlation Analysis Proceedings of the Web Conference , pages 361-366, 2019. The ECNLP workshop.
• Hanxin Wang, Daichi Amagata, Takuya Maekawa, Takahiro Hara, Kei Yonekawa, Hao Niu, and Mori Kurokawa. Preliminary Investigation of Alleviating User Cold-Start Problem in E-commerce with Deep Cross-Domain Recommender System Proceedings of the Web Conference, pages 398-403, 2019. The ECNLP workshop.
• Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, and Takahiro Hara. A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 274-285, 2019. The DLKT workshop.
• Daichi Amagata and Takahiro Hara. Identifying the Most Interactive Object in Spatial Databases Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 1286-1297, 2019. Slide is here.
• Daichi Amagata, Takahiro Hara, and Chuan Xiao. Dynamic Set kNN Self-Join Proceedings of the IEEE International Conference on Data Engineering (ICDE), pages 818-829, 2019. Slide is here. Winner of IEEE Computer Society Japan Chapter Young Author Award 2020
• Chen Cheng, Takuya Maekawa, Daichi Amagata, and Takahiro Hara. Preliminary Investigation of Predicting Next-Use Mobile Apps Using App Semantic Representations Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom), pages 391-394, 2019. Work In Progress Session.
• Toshimitsu Kamiya, Tatsuya Nakamura, Takuya Maekawa, Daichi Amagata, and Takahiro Hara. Estimating User Contexts from Mobile Application Usage Histories Proceedings of the International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD), pages 765-770, 2019. Winner of the Best Student Paper Award