MORISHIMA Atsuyuki

Researcher's full information

Conference, etc.
  • The CyborgCrowd Project and Beyond: Earth-Scale Human-ML-Logic teams for Answering Open World Questions
    Morishima Atsuyuki
    The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022)/2022-11-30--2022-12-2
  • Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification
    Shimizu Ayame; Wakabayashi Kei; Matsubara Masaki; Ito Hi...
    The 13th International Conference on Smart Computing and Artificial Intelligence/2023-07-08--2023-07-13
  • Comparative Survey of Blind, Low-Vision and Sighted Workers on Crowdsourcing Platforms
    Zhong Ying; Kobayashi Makoto; Matsubara Masaki; Morishima...
    The 38th CSUN Assistive Technology Conference/2023-03-13--2023-03-17
  • メタ認知を活用したソーシャルネットワーク上の意見集約法の分析
    山下 裕; 櫻井 祐子; 大西 正輝; 森嶋 厚行
    The 36th Annual Conference of the Japanese Society for Artificial Intelligence, 2022/2022-06-14
  • Aggregating Crowd Intelligence over Open Source Information: An Inference Rule Centric Approach
    Kida Kai; Ito Hiroyoshi; Matsubara Masaki; Suzuki Nobuta...
    The Tenth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2022)/2022-11-06--2022-11-10
  • Multi-Armed Bandit Approach to Task Assignment across Multi Crowdsourcing Platforms
    Xiao Yunyi; Yamashita Yu; Ito Hiroyoshi; Matsubara Masak...
    The Tenth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2022), Work-in-Progress/2022-11-6--2022-11-10
  • Effectiveness of Diverse Evidence for Developing Convincing Proofs with Crowdsourcing
    Wijerathna Nadeesha; Matsubara Masaki; 森嶋 厚行
    The 24th International Conference on Human-Computer Interaction (HCII 2022)/2022-06-26--2022-07-01
  • Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network
    Yamashita Yu; Takami Shunki; Shigenaka Shunsuke; Onishi ...
    Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022/2022-05-09--2022-05-10
  • Bibrecord-based Literature Management with Interactive Latent Space Learning
    Watanabe Shingo; Ito Hiroyoshi; Matsubara Masaki; Morishi...
    From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, The 24th International Conference on Asia-Pacific Digital Libraries (ICADL 2022)/2022-11-30--2022-12-02
  • Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms
    Xiao Yunyi; Yamashita Yu; Ito Hiroyoshi; Matsubara Masak...
    The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022)/2022-12-17
  • Image Geolocation by Non-Expert Crowd Workers with an Expert Strategy
    Kim Seungun; Matsubara Masaki; Morishima Atsuyuki
    The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022)/2022-12-17
  • Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment
    Kanda Tomoya; Ito Hiroyoshi; Morishima Atsuyuki
    The 6th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2022)/2022-12-17
  • Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing
    Negishi Kanta; Ito Hiroyoshi; Masaki Matsubara; Morishima...
    18th International Conference, Iconference 2023/2023-03-13--2023-03-17
  • Human+AI Crowdタスク割り当てのためのAIワーカの効率的な評価
    神田 智也; 伊藤 寛祥; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム (DEIM2023)/2023-03-05--2023-03-09
  • ニューラルトピック将来予測モデルの構築
    中村 礼音; 伊藤 寛祥; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム (DEIM2023)/2023-03-05--2023-03-09
  • インターネット学習における学習支援ガイド生成に向けた理解支援関係の自動抽出
    高橋 健太郎; 伊藤 寛祥; 松原 正樹; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム (DEIM2023/2023-03-05--2023-03-09
  • マルチエージェント強化学習に基づくソーシャルネットワークの将来予測手法
    三宅 健太郎; 伊藤 寛祥; Christos Faloutsos; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム(DEIM2023）/2023-03-05--2023-03-09
  • エシカル・ベイズ最適化のためのクラスタを考慮したアプローチ
    山﨑 悠人; 松原 正樹; 伊藤 寛祥; 南部 優太; 幸島 匡宏; 蔵内 雄貴; 山本 隆二; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム (DEIM2023)/2023-3-5--2023-3-9
  • 公理系を考慮した Human-in-the-loop エンティティマッチング
    小泉 崇裕; 伊藤寛祥; 吉本龍司; 福島幸弘; 原田隆史; 森嶋 厚行
    第15回データ工学と情報マネジメントに関するフォーラム (DEIM2023)/2023-03-05--2023-03-09
  • Efficient Crowdsourcing for Semantic Segmentation Considering Human Cognitive Characteristics
    Kobayashi Masaki; Morita Hiromi; Morishima Atsuyuki
    HCI International 2022/2022-06-26--2022-07-01
  • HAEM: Obtaining Higher-Quality Classification Task Results with AI workers
    Yamashita Yu; Ito Hiroyoshi; Wakabayashi Kei; Kobayash...
    WebSci '22: 14th ACM Web Science Conference 2022/2022-06-26--2022-06-29
  • Construction of system 2 by human-in-the-loop based on question generation driven by System 1
    清水 綾女; 若林 啓; 松原 正樹; 伊藤 寛祥; 森嶋 厚行
    第３６回人工知能学会全国大会/2022-06-14--2022-06-17
  • Does Multi-Hop Crowdsourcing Work? A case Study on Collecting COVID-19 Local Information
    Zhong Ying; Kobayashi Masaki; Matsubara Masaki; Morishima...
    The 5th IEEE Workshop on Human-in-the-Loop Methods and Future of Work in BigData (IEEE HMData 2021)/2021-12
  • A Crowdsourcing Approach for Deriving Proofs for Uncertain Information
    Kida Kai; Ito Hiroyoshi; Matsubara Masaki; Morishima Ats...
    iConference 2022 Student Symposium/2022-2-28
  • Efficient Estimation of Multi-peak Crowd Preference
    Kaihotsu Kotaro; Ito Hiroyoshi; Matsubara Masaki; Morishi...
    iConference 2022 Student Symposium/2022-2-28
  • more...