AMAGASA Toshiyuki

Researcher's full information

Refereed academic journal/Refereed international conference paper

• 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
• 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
• 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
• 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
• PR-MVI: Efficient Missing Value Imputation over Data Streams by Distance Likelihood
  Bou Savong; Amagasa Toshiyuki; Kitagawa Hiroyuki; Shaikh ...
  Proceedings of the 24th International Conference on Information Integration and Web Intelligence (iiWAS 2022)/pp.338-351, 2022-11
• InTrans: Fast Incremental Transformer for Time Series Data Prediction
  Bou Savong; Amagasa Toshiyuki; Kitagawa Hiroyuki
  Proceedings of the 33rd International Conference on Database and Expert Systems Applications (DEXA 2022)/pp.47-61, 2022-08
• Intelligent Posture Training: Machine-Learning-Powered Human Sitting Posture Recognition Based on a Pressure-Sensing IoT Cushion
  Bourahmoune Katia; Ishac Karlos; Amagasa Toshiyuki
  SENSORS/22(14), 2022-07
• An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs
  Miura Kento; Kobayashi Ryohei; Amagasa Toshiyuki; Kitagaw...
  2022 IEEE International Conference on Big Data (Big Data)/pp.415-422, 2022-12
• An Open-source FPGA Library for Data Sorting
  Kobayashi Ryohei; Miura Kento; Fujita Norihisa; Boku Tai...
  Journal of Information Processing/30/pp.766-777, 2022-10
• AtLASS: A scheme for end-to-end prediction of splice sites using attention-based bi-LSTM.
  Harada Ryo; Kume Keitaro; Horie Kazumasa; Nakayama Takur...
  IPSJ Transactions on Bioinformatics/16/pp.20-27, 2023-07
• Named-entity recognition for a low-resource language using pre-trained language model
  Yohannes Hailemariam Mehari; Amagasa Toshiyuki
  The 37th ACM/SIGAPP Symposium on Applied ComputingApril 2022 (SAC 2022)/pp.837-844, 2022-04
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