天笠 俊之(アマガサ トシユキ)

研究者情報全体を表示

査読付き学術雑誌・国際会議論文
  • A Sorting Library for FPGA Implementation in OpenCL Programming
    Kobayashi Ryohei; Miura Kento; Fujita Norihisa; Boku Tai...
    Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART '21)./(10)/pp.1-6, 2021-06
  • Relation-oriented faceted search method for knowledge bases
    Aso Taro; Amagasa Toshiyuki; Kitagawa Hiroyuki
    22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS2020)/pp.192-199, 2020-11
  • Accelerating all 5-vertex subgraphs counting using GPUs
    Suganami Shuya; Amagasa Toshiyuki; Kitagawa Hiroyuki
    DEXA 2020: Database and Expert Systems Applications/pp.55-70, 2020-09
  • CPiX: Real-Time Analytics over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation
    Bou Savong; Kitagawa Hiroyuki; Amagasa Toshiyuki
    IEEE Transactions on Knowledge and Data Engineering/34(11)/pp.5239-5250, 2022-11
  • A modular approach for efficient simple question answering over knowledge bas
    Buzaaba Happy; Amagasa Toshiyuki
    30th International Conference on Database and Expert Systems Applications (DEXA 2019)(2)/pp.237-246, 2019-09
  • FPGA-based SPARQL query acceleration
    Niki Mirai; Yamaguchi Yoshiki; Amagasa Toshiyuki
    Asia Pacific Conference on Robot IoT System Development and Platform/pp.1-2, 2019-11
  • Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations
    Ito Hiroyoshi; Amagasa Toshiyuki; Kitagawa Hiroyuki
    Information Modelling and Knowledge Bases/Vol.XXVIII/pp.489-504, 2017-01
  • Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs
    Ito Hiroyoshi; Komamizu Takahiro; Amagasa Toshiyuki; Kita...
    IEICE Transactions on Information and Systems/102(4)/pp.810-820, 2019-04
  • Accelerating Regular Path Queries using FPGA
    Miura Kento; Toshiyuki Amagasa; Hiroyuki Kitagawa
    10th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, in conjunction (ADMS2019)/pp.1-8, 2019-08
  • L-BiX: Incremental Sliding-Window Aggregation over Data Streams Using Linear Bidirectional Aggregating Indexes
    Bou Savong; Hiroyuki Kitagawa; Toshiyuki Amagasa
    Knowledge and Information Systems/62(8)/pp.3107-3131, 2020-02
  • Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study
    Hayashi Masafumi; Kobayashi Masaki; Matsubara Masaki; Ama...
    Proceedings of 2019 IEEE International Conference on Big Data (Big Data)/pp.4596-4601, 2019-12
  • Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing
    Suzuki Yusuke; Matsubara Masaki; Tajima Keishi; Amagasa ...
    The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), 2018-12
  • Efficient Pipeline Processing of Crowdsourcing Workflows
    Mizusawa Ken; Tajima Keishi; Matsubara Masaki; Amagasa T...
    Proceedings of the 27th ACM Information and Knowledge Management (CIKM2018)/pp.1559-1562, 2018-10
  • Providing Constructed Buildings Information by ASTER Satellite DEM Images and Web Contents
    Takagi Takashi; Kawashima Hideyuki; Amagasa Toshiyuki; Ki...
    Proc. of Data Intensive eScience Workshop (DIEW 2010) (DASFAA2010 Workshop), 2010-04
  • Implicit Order Join: Joining Log Data with Property Data by Discovering Implicit Order-oriented Keys with Human Assistance
    Komamizu Takahiro; Amagasa Toshiyuki; Kitagawa Hiroyuki
    Proc. The First IEEE Workshop on Human-Machine Collaboration in BigData, co-located with IEEE Big Data 2017 (HMData 2017), 2017-12
  • Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs
    Ito Hiroyoshi; Komamizu Takahiro; Amagasa Toshiyuki; Kita...
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS/102(4)/pp.810-820, 2019
  • Approximate Set Similarity Join using Many-core Processors
    Sugano Kenta; Amagasa Toshiyuki; Kitagawa Hiroyuki
    Proc. 29th International Conference on Database and Expert Systems Applications (DEXA 2018), 2018
  • Approximate Set Similarity Join Using Many-Core Processors
    Sugano Kenta; Amagasa Toshiyuki; Kitagawa Hiroyuki
    Proc. 29th International Conference on Database and Expert Systems Applications (DEXA 2018)/pp.214-222, 2018
  • Predicting the decision making chemicals used for bacterial growth.
    ASHINO Kazuha; SUGANO Kenta; AMAGASA Toshiyuki; YING BEIWEN
    SCIENTIFIC REPORTS/9, 2019-05
  • NommPred: Prediction of Mitochondrial and Mitochondrion-Related Organelle Proteins of Nonmodel Organisms
    Kume Keitaro; Amagasa Toshiyuki; Hashimoto Tetsuo; Kitaga...
    Evolutionary Bioinformatics/14/pp.1-12, 2018-12
  • Approximate Set Similarity Join using Many-core Processors
    Sugano Kenta; Amagasa Toshiyuki; Kitagawa Hiroyuki
    International Conference on Database and Expert Systems Applications (DEXA 2018)/pp.214-222, 2018-08
  • Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing
    Suzuki Yusuke; Matsubara Masaki; Tajima Keishi; Amagasa ...
    Proceedings of 2018 IEEE International Conference on BigData/pp.3551-3553, 2018-12
  • NommPred: Prediction of Mitochondrial and Mitochondrion-Related Organelle Proteins of Nonmodel Organisms
    Kume Keitaro; Amagasa Toshiyuki; Hashimoto Tetsuo; Kitaga...
    EVOLUTIONARY BIOINFORMATICS/14, 2018-12
  • Secure similarity joins using fully homomorphic encryption
    Cruz Mateus; Watanabe Chiemi; Amagasa Toshiyuki; Kitagawa...
    Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017)/pp.224-233, 2017-12
  • An Index-based Secure Query Processing Scheme for Outsourced Databases
    Akiyama Kento; Shinozuka Chisato; Watanabe Chiemi; Amagas...
    Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017)/pp.215-223, 2017-12
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