Kawakami, Shun, Toshiyuki, Amagasa, Bou, Savong. Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition. Database and Expert Systems Applications. 2025. 169
Ohmori, Yuuki, Kitagawa, Hiroyuki, Amagasa, Toshiyuki, Matono, Akiyoshi. Integration of knowledge bases and external sources using user-defined predicates and adaptive entity linking. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS. 2025. 28. 4
Suzuki, Shosuke, Horie, Kazumasa, Amagasa, Toshiyuki, 福田, 直也. Genomic language models with k-mer tokenization strategies for plant genome annotation and regulatory element strength prediction. Plant Molecular Biology. 2025. 115. 4
Takdir, Kitagawa, Hiroyuki, Amagasa, Toshiyuki, Matono, Akiyoshi. Local Recovery and Partial Snapshot in Distributed Stateful Stream Processing. Knowledge and Information Systems. 2025
Takdir, Kitagawa, Hiroyuki, Amagasa, Toshiyuki, Matono, Akiyoshi. Local Recovery and Partial Snapshot in Distributed Stateful Stream Processing. Knowledge and Information Systems. 2025
StreamPlane: Flexible Reconfiguration of Streaming Application Runtime Topology
(19th ACM International Conference on Distributed and Event-based Systems (DEBS 2025))
O(1)-Time Complexity for Fixed Sliding-window Aggregation over Out-of-order Data Streams
(IEEE International Conference on Data Engineering (ICDE))
2019/03 - IEEE BigComp 2019 Best Paper Award Runner-up An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints
2019/03 - IEEE BigComp 2019 Best Paper Award Runner-up An Optimization Scheme for Non-negative Matrix Factorization under Probability Constraints
2017/09 - Best paper award (12th International Conference on Digital Information Management (ICDIM 2017)) Chihiro Sakazume, Hiroyuki K Best paper award DIO: Efficient Interactive Outlier Analysis over Dynamic Datasets
2017/09 - Pest paper award (12th International Conference on Digital Information Management (ICDIM 2017)) Chihiro Sakazume, Hiroyuki K Best paper award DIO: Efficient Interactive Outlier Analysis over Dynamic Datasets