MORISHIMA Atsuyuki
- Conference, etc.
- 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 - Human+AI Crowd: A New Paradigm for Human-in-the-Loop Information Processing
森嶋 厚行
ASIS&T 24-Hour Global Conference/2022-04 - 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 - Discovering diverse perspectives from large scale time-series documents data
Hirasawa Rei; Ito Hiroyoshi; Matsubara Masaki; Morishima ...
iConference 2022 Student Symposium/2022-2-28 - Making the Ad-Hoc Physical Crowdsourcing Possible with the Coherence Principle
Tanaka Erina; Ito Hiroyoshi; Matsubara Masaki; Morishima ...
iConference 2022 Student Symposium/2022-2-28 - A Document Management System based on Human-in-the-Loop Latent Space Learning
Watanabe Shingo; Ito Hiroyoshi; Matsubara Masaki; Morishi...
iConference 2022 Student Symposium/2022-2-28 - Towards Earth-Scale Data Processing with Human+ AI Crowd
Morishima Atsuyuki
The 16th Korea-Japan Database Workshop (KJDB2021)/2021-12-4 - Computational Division of Labor: Imagine All the People and AI in the Crowd Working Happily
Morishima Atsuyuki
ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS2021)/2021-10-14 - The Power of the Crowds and the Pandemic: Potentials and Challenges
Morishima Atsuyuki
IFLA World Library and Information Congress (WLIC 2021) DH/DS (Digital Humanities / Digital Scholarship) Forum 2021/2021-8-19 - more...
- Replacing Method for Multi-Agent Crowd Simulation by Convolutional Neural Network