MORISHIMA Atsuyuki

Researcher's full information

Articles
  • 二重過程理論による説明可能なAI開発手法の提案
    内田 輝; 松原 正樹; 若林 啓; 森嶋 厚行
    第13回データ工学と情報マネジメントに関するフォーラム論文集, 2021-03
  • 人間+AIクラウドの相互作用によるタスク結果品質の管理手法
    小林 正樹; 若林 啓; 森嶋 厚行
    第13回データ工学と情報マネジメントに関するフォーラム論文集, 2021-03
  • Analysis of Crowdsourced Multilingual Keywords in the Futaba Digital Archive: Lessons Learned for Better Metadata Collection
    Kawakami Mari; Sakaguchi Tetsuo; Shirai Tetsuya; Matsubar...
    Digital Libraries at Times of Massive Societal Transition, 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020. Lecture Notes in Computer Science Vol.12504/pp.196-204, 2020-11
  • Analysis of Hand-drawn Maps of Places in Natural Disaster Pictures
    Kim Seungun; Matsubara Masaki; Morishima Atsuyuki
    Proceedings of 2020 IEEE International Conference on Big Data (Big Data)/pp.3076-3078, 2020-12
  • Human-in-the-loop Approach towards Dual Process AI Decisions
    Uchida Hikaru; Matsubara Masaki; Wakabayashi Kei; Morishi...
    Proceedings of 2020 IEEE International Conference on BigData (BigData)/pp.3096-3098, 2020-12
  • A System for Worldwide COVID-19 Information Aggregation
    Aizawa Akiko; Bergeron Frederic; Chen Junjie; Cheng Fei; ...
    Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, ACL, 2020-11
  • Making AI Machines Work for Humans in FoW
    Amer-Yahia Sihem; Roy Senjuti Basu; Chen Lei; Morishima ...
    ACM SIGMOD Record/49(2)/pp.30-35, 2020-06
  • Computational Division of Labor with Human and AI Workers
    Morishima Atsuyuki; Matsubara Masaki; Wakabayashi Kei; Su...
    IEEE Data Engineering Bulletin/43(3)/pp.12-25, 2020-09
  • IRTを用いたクラウドソーシング実験の再現性の向上手法の提案
    勝野皓太; 松原正樹; 渡辺知恵美; 森嶋 厚行
    第12回データ工学と情報マネジメントに関するフォーラム(DEIM 2020)講演論文集/pp.1-6, 2020-03
  • 階層型のラベル付けマイクロタスクにおける能動学習戦略の比較
    鵜尾厚佑; 小林 正樹; 松原正樹; 馬場雪乃; 森嶋 厚行
    第12回データ工学と情報マネジメントに関するフォーラム(DEIM 2020)講演論文集/pp.1-6, 2020-03
  • ファシリテータを必要としない相互学習環境の実現を目指したマイクロタスク型ワークフローの検討
    泉陽奈子; 松原正樹; 渡辺知恵美; 森嶋 厚行
    第12回データ工学と情報マネジメントに関するフォーラム(DEIM 2020)講演論文集/pp.1-7, 2020-03
  • Batch Prioritization of Data Labeling Tasks for Training Classifiers
    Kimura Masanori; Wakabayashi Kei; Morishima Atsuyuki
    Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing/pp.163-167, 2020-10
  • Digital Knowledge Era and the Future of Work: Challenges and the Current Status of JST Cyborg Crowd Project
    Morishima Atsuyuki; Inoguchi Munenari; Tajima Keishi; Kit...
    Workshop on Addressing SDGs Through Data Analytics and AI, International Conference on Digital Landscape 2019/pp.68-78, 2019-11
  • A System for worldwide COVID-19 Information Aggregation
    Akiko Aizawa; Bergeron Frederic; Chen Junjie; Fei Cheng; H...
    Proceedings of NLP COVID-19 Workshop, The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020, 2020-7
  • Effects of Cognitive Consistency in Microtask Design with only Auditory Information
    Zhong Ying; Matsubara Masaki; Kobayashi Makoto; Morishima...
    Universal Access in Human-Computer Interaction, Applications and Practice. International Conference on Human-Computer Interaction 2020. Lecture Notes in Computer Science Vol. 12189/pp.466-476, 2020-07
  • First Evaluation of Information Support of everyone by everyone for everyone TimeLine (ISeeeTL) applied to Deaf and Hard of Hearing People Watching Sport.
    Hiraga Rumi; Watatsuki Daisuke; Shiraishi Yuhki; Inoue M...
    The 15th International Conference of the Association for the Advancement of Assistive Technology in Europe (AAATE 2019),/pp.S135-S136, 2019-8
  • Advancement of bibliographic identification using a crowdsourcing system
    Harada Takashi; Fukushima Yukihiro; Sato Sho; Tsuruta Mi...
    Proceedings of the 9th Asia-Pacific Conference on Library & Information Education and Practice(A-LIEP 2019)/pp.71-82, 2019-11
  • A Privacy-Preserving Similarity Search Scheme over Encrypted Word Embeddings
    Aritomo Daisuke; Watanabe Chiemi; Matsubara Masaki; Moris...
    Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019)/pp.405-414, 2019-12
  • Towards Quality Assessment of Crowdworker Output Based on Behavioral Data
    Yuasa S.; Nakai T.; Maruishi T.; Landsmann M.; Kise Koic...
    Proceedings of 2019 IEEE International Conference on Big Data (IEEE HMData2019)/pp.4659-4661, 2019-12
  • 聴覚情報のみによる理解しやすいマイクロタスクデザイン
    Ying Zhong; 松原正樹; 小林　真; 森嶋 厚行
    情報処理学会研究報告/2019-AAC-10(5)/pp.1-6, 2019-08
  • Collecting and Organizing Citizen Opinions: A Dynamic Microtask Approach and Its Evaluation
    Matsubara Masaki; Matsuda Yuhei; Kuzumi Ryouhei; Koizum ...
    Sustainable Digital Communities. iConference 2020. Lecture Notes in Computer Science Vol. 12051/pp.50-65, 2020-03
  • Platform Design for Crowdsourcing and Future of Work.
    Gross-Amblard David; Morishima Atsuyuki; Thirumuruganatha...
    Special Issue on Imagine All the People and AI in the Future of Work, IEEE Data Engineering Bulletin./42(4)/pp.35-45, 2019-12
  • Quality-aware Dynamic Task Assignment in Human+AI Crowd
    Kobayashi Masaki; Wakabayashi Kei; Morishima Atsuyuki
    Proceedings of the Web Conference 2020/pp.118-119, 2020-04
  • 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
  • A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning
    Izumi Hinako; Matsubara Masaki; Watanabe Chiemi; Morishim...
    Proceedings of 2019 IEEE International Conference on BigData/pp.4624-4627, 2019-12
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