AMAGASA Toshiyuki

Researcher's full information

Refereed academic journal/Refereed international conference paper

• CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion
  Marjan Md Abu; Amagasa Toshiyuki
  2023 IEEE International Conference on Big Data (IEEE BigData 2023)/pp.1214-1221, 2023-12
• RDF Data Partitioning for Efficient SPARQL Query Processing with Spark SQL
  Yamasaki Kosuke; Amagasa Toshiyuki
  The 25th Int'l Conf. on Information Integration and Web Intelligence (iiWAS2023)/pp.92-106, 2023-12
• AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning
  Mugeni John Bosco; Lynden Steve; Amagasa Toshiyuki; Ma...
  27th International Database Engineering & Applications Symposium (IDEAS 2023)/pp.140-147, 2023-05
• Autonomic active learning strategy using cluster-based ensemble classifier for concept drifts in imbalanced data stream
  Halder Bohnishikha; Hasan K. M. Azharul; Amagasa Toshi...
  Expert Systems with Applications/231 (120578), 2023-11
• Buffer-based adaptive fuzzy classifier
  Debnath Sajal; Ahmed Md Manjur; Belhaouari Samir brahi...
  Applied Intelligence/53(11)/pp.14448-14469, 2023-10
• Cost-based Load Balancing of RDF Reasoning in Fog-Computing Environments
  Kokubo Yuma; Amagasa Toshiyuki
  The 39th ACM/SIGAPP Symposium On Applied Computing (SAC 2024),/pp.572-579, 2024-04-08
• 複合的ストリーム処理に対するトレーサビリティの研究
  山田 真也; 北川 博之; SalmanAhmed Shaikh; 天笠 俊之; 的野 晃整
  日本データベース学会 データドリブンスタディーズ/2/pp.１-８, 2024-03
• Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-driven Entity Linking
  Ohmori Yuuki; Kitagawa Hiroyuki; Amagasa Toshiyuki; Ma...
  The 25th International Conference on Information Integration and Web Intelligence (iiWAS2023)/14416/pp.309-324, 2023-12
• TraPM: A Framework for Online Pattern Matching over Trajectory Streams
  Trisminingsih Rina; Shaikh Salman Ahmed; Amagasa Toshi...
  The 25th International Conference on Information Integration and Web Intelligence (iiWAS2023)/pp.510-525, 2023-12
• Multi-dimensional Fused Gromov Wasserstein Discrepancy for Edge-Attributed Graphs
  Kawano Keisuke; Koide Satoshi; Shiokawa Hiroaki; Amaga...
  IEICE Transactions on Information and Systems/E107-D(5)/pp.683-693, 2024-05
• Efficient Missing Value Imputation by Maximum Distance Likelihood
  Bou Savong; Amagasa Toshiyuki; Kitagawa Hiroyuki; Shai...
  2023 IEEE International Conference on Big Data/pp.331-338, 2023-12-15
• Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data
  Doan Quang　Van; Toshiyuki Amagasa; Thanh-Ha Pham; Taku...
  Geoscientific Model Development/16(8)/pp.2215-2233, 2023-04
• Self-Attention-based Data Augmentation Method for Text Classification
  Amagasa Toshiyuki
  ICMLC 2023, 2023-02
• Long Text Classification using Pre-trained Language Model for a Low-resource Language
  Amagasa Toshiyuki
  ICICT 2023, 2023-03
• Dynamic Load Balancing of RDF Reasoning in Fog-Computing Environments
  Amagasa Toshiyuki
  38th ACM/SIGAPP Symposium On Applied Computing (SAC 2023)/pp.3986-683, 2023-03
• Owro: A Novel Robot for Sitting Posture Training Based on Adaptive Human Robot Interaction
  Amagasa Toshiyuki
  6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022) co-located with IEEE Bigdata 2022/pp.3986-3991, 2022-12
• A Scheme for News Article Classification in a Low-Resource Language
  Amagasa Toshiyuki
  24th Int'l Conf. on Information Integration and Web Intelligence (iiWAS2022)/pp.224-236, 2022-11
• GPU-Accelerated Reverse K-Nearest Neighbor Search for High-Dimensional Data
  Amagasa Toshiyuki
  11th Int'l Workshop on Advances in Data Engineering and Mobile Computing (DEMoC-2022) in conjunction with NBiS 2022/pp.279-288, 2022-07
• BLOCK-OPTICS: An Efficient Density-Based Clustering Based on OPTICS
  Amagasa Toshiyuki
  Proc. 33rd Int'l Conf. on Database and Expert Systems Applications (DEXA 2022), Part II/pp.291-296, 2022-08
• A method of named entity recognition for Tigrinya
  Yohannes Hailemariam Mehari; Amagasa Toshiyuki
  ACM SIGAPP Applied Computing Review/22(3)/pp.56-68, 2021-11
• Share on A Graph-Based Blocking Approach for Entity Matching Using Contrastively Learned Embeddings
  Amagasa Toshiyuki
  ACM SIGAPP Applied Computing Review/22(4)/pp.37-46, 2023-02
• Online Optimized Product Quantization for ANN Queries over Dynamic Database using SVD-Updating
  Amagasa Toshiyuki
  Book cover Book cover Transactions on Large-Scale Data- and Knowledge-Centered Systems LII/52/pp.86-102, 2022-09
• Augmented Lineage: Traceability of Data Analysis Including Complex UDF Processing
  Yamada Masaya; Kitagawa Hiroyuki; Amagasa Toshiyuki; Mato...
  The VLDB Journal, 2022-11
• CPiX: Real-Time Analytics over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation
  Bou Savong; Kitagawa Hiroyuki; Amagasa Toshiyuki
  The 39th IEEE International Conference on Data Engineering (ICDE 2023), TKDE Poster Session Track, 2023-04-04
• BPF: a novel cluster boundary points detection method for static and streaming data
  Khalique Vijdan; Kitagawa Hiroyuki; Amagasa Toshiyuki
  KNOWLEDGE AND INFORMATION SYSTEMS/65(7)/pp.2991-3022, 2023-03
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