Search Box
Search
Go!
List View Tile View
Table View* Bibtex View* Latex View*
* Login Required
345 hits

Journal

  1. Daichi Amagata, Takahiro Hara, "Efficient Density-Peaks Clustering Algorithms on Static and Dynamic Data in Euclidean Space," ACM Transactions on Knowledge Discovery from Data (TKDD), vol.18, no.1, pp.2:21-2:27, January 2024.
  2. Kei Tanigaki, Teoh, Chuin, Tze, Naoya Yoshimura, Takuya Maekawa, Takahiro Hara, "Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.6, no.3, pp.1-33, September 2022.
  3. Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara, "Efficient Retrieval of Top-k Weighted Triangles on Static and Dynamic Spatial Data," IEEE Access , vol.10, pp.55298-55307, June 2022.
  4. Thilina Dissanayake, Takuya Maekawa, Takahiro Hara, Taiki Miyanishi, Motoaki Kawanabe, "IndoLabel: Predicting Indoor Location Class by Discovering Location-specific Sensor Data Motifs," IEEE Sensors Journal , August 2021.
  5. Qingxin Xia, Joseph Korpela, Yasuo Namioka, Takuya Maekawa, "Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs," Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol.4, no.3, pp.30, September 2020.
  6. Shunya Nishio, Daichi Amagata, Takahiro Hara, "Lamps: Location-Aware Moving Top-k Pub/Sub," IEEE Transactions on Data and Knowledge Engineering , April 2020.
  7. Xiaofei Cao, Madria Sanjay, Takahiro Hara, "Multi-model Z-compression for high speed data streaming and low-power wireless sensor networks," Distributed and Parallel Databases , vol.38, no.1, pp.153-191, March 2020.

International Conference

  1. Daichi Amagata, Centurion Ramos Julio Alejandro, Shirai Ryo, Takahiro Hara, "Fast Algorithm for Embedded Order Dependency Validation," Proceedings of International Conference on Scientific and Statistical Database Management (SSDBM), pp.17:1-17:4, July 2023.
  2. Shunya Nishio, Daichi Amagata, Takahiro Hara, "Approximate Reverse Top-k Spatial-Keyword Queries," Proceedings of IEEE International Conference on Mobile Data Management (MDM), pp.96-105, July 2023.
  3. Yue Zhao, Yihong Zhang, Daichi Amagata, Takahiro Hara, "POI Recommendation by Learning Short-, Long- and Mid-Term Preferences through GNN," Proceedings of IEEE International Conference on Mobile Data Management (MDM), pp.1-10, July 2023.
  4. Hao Niu, Duc Nguyen, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "User-irrelevant Cross-domain Association Analysis for Cross-domain Recommendation with Transfer Learning," Proceedings of the ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR), pp.37-45, June 2023.
  5. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa, "Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations," The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), vol.13937, pp.271-283, May 2023.
  6. Yuki Nishino, Takuya Maekawa, Takahiro Hara, "Detecting Repetitive Human Actions by Neural Networks Trained on Composite Data Only," PerCom International Workshop on Behavior analysis and Recognition for knowledge Discovery (BiRD), March 2023.
  7. Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa, "Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.," Proceedings of IEEE International Conference on Big Data (BigData), pp.762-769, December 2022.
  8. Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara, "Retrieving Top-N Weighted Spatial k-cliques," Proceedings of IEEE International Conference on Big Data (BigData), pp.4942-4951, December 2022.
  9. Daichi Amagata, "Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data," Proceedings of IEEE International Conference on Big Data (BigData), pp.445-454, December 2022.
  10. Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara, "Efficient Retrieval of Top-k Weighted Spatial Triangles," Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA), pp.224-231, April 2022.
  11. Hayato Nakama, Daichi Amagata, Takahiro Hara, "Approximate Top-k Inner Product Join with a Proximity Graph," Proceedings of IEEE International Conference on Big Data (BigData), pp.4468-4471, December 2021.
  12. Jun Murao, Kei Yonekawa, Mori Kurokawa, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "Concept Drift Detection with Denoising Autoencoder in Incomplete Data," Proceedings of the International Workshop on Ubiquitous and Multi-domain User Modeling (UMUM), November 2021.
  13. Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara, "LGTM: A Fast and Accurate kNN Search Algorithm in High-dimensional Spaces," Proceedings of International Conference on Database and Expert Systems Applications (DEXA), pp.220-231, September 2021.
  14. Daichi Amagata, Makoto Onizuka, Takahiro Hara, "Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach," Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD), pp.36-48, June 2021.
  15. Daichi Amagata, Takahiro Hara, "Fast Density-Peaks Clustering: Multicore-based Parallelization Approach," Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD), pp.49-61, June 2021.
  16. Duc Nguyen, Hao Niu, Kei Yonekawa, Mori Kurokawa, Chihiro Ono, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "On the Transferability of Deep Neural Networks for Recommender System," European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), pp.22-37, September 2020.
  17. Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa, Takahiro Hara, "Advertiser-Assisted Behavioral Ad-Targeting Via Denoised Distribution Induction," Proceedings of IEEE International Conference on Big Data (BigData), December 2019.
  18. Daichi Amagata, Takahiro Hara, "Correlation Set Discovery on Time-Series Data," Proceedings of International Conference on Database and Expert Systems Applications (DEXA), pp.275-290, August 2019.
  19. Shinya Kato, Daichi Amagata, Shunya Nishio, Takahiro Hara, "Discord Monitoring for Streaming Time-Series," Proceedings of International Conference on Database and Expert Systems Applications (DEXA), pp.79-94, August 2019.
  20. Naoya Yoshimura, Takuya Maekawa, Daichi Amagata, Takahiro Hara, "Upsampling Inertial Sensor Data from Wearable Smart Devices Using Neural Networks," Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS), pp.1983-1993, July 2019.

Domestic Conference

  1. Qingxin Xia, Takuya Maekawa, "Research on Sensor Data Processing Methods for Recognizing and Understanding Factory Work Activities," 情報処理学会 ユビキタスコンピューティングシステム研究会 (UBI), 2022年4月.

Award

  1. Daichi Amagata, "Distinguished Reviewer," Proceedings of International Conference on Very Large Data Bases , 2023年8月.
  2. Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara, "DEXA2021 Best Paper Award," Proceedings of International Conference on Database and Expert Systems Applications , 2021年10月.
Publication Zoo GitHub