Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima, “Empirical Study on Effects of Self-Correction in Crowdsourced Image Classification Tasks”, Human Computation Journal, Vol.xx, pp.xx-xx, 2020(to appear)
張 建偉, 白石 優旗, 若月 大輔, 塩野目剛亮, 熊井 克仁, 森嶋 厚行, 「クラウドソーシングに基づく聴覚障害者によるリアルタイム文字情報保障システム開発」(Development of Crowdsourcing-based Real-Time Captioning System by Deaf and Hard-of-Hearing People), 電子情報通信学会論文誌, Vol.J104-A, No.2, pp.64-74, October 2020[PDF]
Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito. “ Computational Division of Labor with Human and AI Workers ”. IEEE Data Engineering Bulletin, Vol. 43 No. 3, pp. 12-15, September 2020.
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Ying Zhong, Makoto Kobayashi, Masaki Matsubara and Atsuyuki Morishima, “Effect of Crowd-in-the-loop Alt Text Addition on the Performance of Visually Impaired Workers in Online Microtasks,” The Transactions of Human Interface Society, Vol22 No3, pp.251-261, August 2020 [PDF]
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, Francois Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Abhishek Dubey, Shady Elbassuon, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida,
" Making AI Machines Work for Humans in FoW", ACM SIGMOD Record, Vol. 49, No. 2, pp. 30-35, June 2020. [PDF]
David Gross-Amblard, Atsuyuki Morishima, Saravanan Thirumuruganathan,Marion Tommasi, Ko Yoshida, “Platform Design for Crowdsourcing and Future of Work,” Special Issue on Imagine All the People and AI in the Future of Work, IEEE Data Engineering Bulletin, Vol. 42 No. 4, pp. 35-45, December 2019.
Eiichi Iwamoto, Masaki Matsubara, Chihiro Ota, Tsutomu Terada, Satoshi Nakamura, Hiroyuki Kitagawa, and Atsuyuki Morishima. "Passerby Crowdsourcing: Workers' Behavior and Data Quality Management". Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2018), Article No.: 169, pp 1–20 ,
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Yuhki Shiraishi, Jianwei Zhang, Daisuke Wakatsuki, Katsumi Kumai, Atsuyuki Morishima, “Crowdsourced real-time captioning of sign language by deaf and hard-of-hearing people” International Journal of Pervasive Computing and Communication (IJPCC), Vol. 13, Issue 1, pp.2-22, July 2017.
Atsuyuki Morishima, Shun Fukusumi, Hiroyuki Kitagawa, “CyLog/Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management”, Information Systems, Elsevier, Vol.62, pp. 170-184, December 2016.
権守 健嗣，森嶋 厚行，歳森 敦，北川 博之,「クラウト゛ソーシンク゛テ゛ータ処理における一般化選択フィルタの利用と動的選択手法」(A Method for Dynamic Selection of Generalized Selection Filters in Crowdsourced Data Processing), 日本データベース学会和文論文誌 Vol.14, Article No.8, 8 pages, 2016 年 3 月.
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青木 秀人, 森嶋 厚行, 「クラウドソーシングによるデータ列挙のための分割統治手法の提案と評価」（Proposal and Evaluation of a Divide and Conquer Method for Crowdsourced Data Enumeration）, 電子情報通信学会論文誌, vol J98-D, No.5, pp.760-773, 2015年5月.
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丹治 寛佳, 森嶋 厚行,井ノ口 宗成,北川 博之,「Web情報を用いた竜巻経路推定支援のためのクラウドソーシング技術開発の試み」（An Attempt to Develop Crowdsourcing Techniques for Identifying Tornado's Paths Based on Web Data）, 情報処理学会論文誌 データベース（TOD60）, vol.6,No.5, pp.95-106,2013年 12月27日.
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権守 健嗣，森嶋 厚行,「クラウドソーシングシステム開発支援のための宣言的記述の提案」(A Declarative Approach to the Development of Crowdsourcing Systems)，日本データベース学会論文誌, Vol 12, No. 1, pp. 85-90, 2013年6月.
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太田 壮祐，森嶋 厚行，天笠 俊之，品川 徳秀,「関数従属性と包含従属性を用いたXML-RDBマッピングの提案と評価」(Proposal and Evaluation of an XML-RDB Mapping Method Based on Functional and Inclusion Dependencies)，情報処理学会論文誌データベース, Vol.5, No.3, pp. 1-14, 2012年9月.
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福角 駿，森嶋 厚行，品川 徳秀，北川 博之,「DB抽象化とゲーム理論に基づくマイクロブログからの構造データ抽出GWAPの開発」 (Applying DB Abstraction and Game Theory to Development of a GWAP for Extracting Structured Data from Microblogs), 日本データベース学会論文誌, Vol 11, No. 1, pp. 19-24, 2012年6月.
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高橋 公海，森嶋 厚行，弓矢 英梨佳，杉本 重雄，北川 博之,「ビットシグネチャを用いたWebページの包含従属性発見の効率化」 (Using Bit-Signatures to Increase Efficiency in Finding Inclusion Dependencies in Web Pages)，情報処理学会論文誌データベース, Vol.3, No.3, pp. 1-10, 2010年9月.
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只石 正輝，森嶋 厚行，田島 敬史,「効率のよい子供／子孫問合せ処理のためのグラフデータ格納手法の提案」 (Proposal of a Graph Data Storage for Efficient Processing of Child/Descendant Queries), 日本データベース学会論文誌, Vol.7, No.3, pp. 55-60, 2008年12月．
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査読付国際会議論文Refereed International Conference Proceedings
Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima, "Human-in-the-loop Approach towards Dual Process AI Decisions", The 2020 IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2020), Proceedings of 2020 IEEE International Conference on BigData (BigData), pp. 3096-3098, online, 10th December 2020.
Seungun Kim, Masaki Matsubara, Atsuyuki Morishima, “Analysis of Hand-drawn Maps of Places in Natural Disaster Pictures”, The 2020 IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big data (IEEE HMData2020), Proceedings of 2020 IEEE International Conference on Big Data (Big Data), pp.3076-3078, online, 10th December 2020.
Ying Zhong, Masaki Matsubara, Makoto Kobayashi, Atsuyuki Morishima, “Usability of Audio Matrix Microtasks for Screen Reader Users ”, the 36th CSUN Assistive Technology Conference (CSUN), pp.xx-xx, March 8-12 2021, (to appear)
Mari Kawakami, Tetsuo Sakaguchi, Tetsuya Shirai, Masaki Matsubara, Takamitsu Yoshino and Atsuyuki Morishima, “Analysis of Crowdsourced Multilingual Keywords in the Futaba Digital Archive: Lessons Learned for Better Metadata Collection”, The 22nd International Conference on Asia-Pacific Digital Libraries (ICADL 2020), online, November 30 to December 1, 2020. pp.196-204
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Masanari Kimura, Kei Wakabayashi and Atsuyuki Morishima, "Batch Prioritization of Data Labeling Tasks for Training Classifiers", The eighth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2020), pp.163-167, Virtual conference, Oct 26–29 2020
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Ying Zhong, Masaki Matsubara, Makoto Kobayashi and Atsuyuki Morishima, “Effects of Cognitive Consistency in Microtask Design with only Auditory Information,” The 22nd International Conference on Human-Computer Interaction International (HCII2020), Paper in HCII proceedings, vol 12189, Universal Access in Human-Computer Interaction: Applications and Practice (Part II), Antona M., Stephanidis C. (eds), pp. 466-476. Copenhagen, Denmark (Online), Jul. 19-24, 2020.
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Masaki Matsubara, Yuhei Matsuda, Ryouhei Kuzumi, Masanori Koizumi, Atsuyuki Morishima, “Collecting and Organizing Citizen Opinions: A Dynamic Microtask Approach and Its Evaluation. In International Conference on Information (iConference), pp. 50-65. Springer, Boras, Sweden(Online), March 23-26, 2020
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Yuasa, S., Nakai, T., Maruishi, T., Landsmann, M., Kise, K., Matsubara, M. and Morishima: Towards Quality Assessment of Crowdworker Output Based on Behavioral Data. In Proceedings of the 3rd IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019), pp. 4659－4661, Los Angels, 2019.12
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Kousuke Uo, Masaki Kobayashi, Masaki Matsubara, Yukino Baba and Atsuyuki Morishima, “ Active Learning Strategies for Hierarchical Labeling Microtasks,” The 2019 IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019), Proceedings of 2019 IEEE International Conference on BigData (BigData), pp.4647-4650, Los Angeles, December 9th, 2019.
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Hinako Izumi, Masaki Matsubara, Chiemi Watanabe, and Atsuyuki Morishima, “A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning,” The 2019 IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019), Proceedings of 2019 IEEE International Conference on BigData (BigData), pp. 4624-4627, Los Angeles, December 9th, 2019.
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Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa, and Atsuyuki Morishima, “Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study,” The 2019 IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData2019), Proceedings of 2019 IEEE International Conference on BigData (BigData), pp. 4596-4601, Los Angeles, December 9th, 2019.
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Daisuke Aritomo,Chiemi Watanabe, Masaki Matsubara, Atsuyuki Morishima, “A Privacy-preserving similarity search scheme over encrypted word embeddings,” Proceedings of The 21th International Conference on Information Integration and Web-based Applications and Services (iiWAS2019), pp.405-414, Munich, Germany, December 2-4, 2019.（Best Paper Award)
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Masaki Matsubara, Yuhei Matsuda, Ryohei Kuzumi, Masanori Koizumi, Atsuyuki Morishima, “A Dynamic Microtask Approach to Collecting and Organizing Citizens' Opinions,” 21st International Conference on Asia-Pacific Digital Libraries (ICADL2019), Kuala Lumpur, Malaysia, 4 pages, Nov. 4-7, 2019.
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Takashi Harada, Yukihiro Fukushima, Sho Sato, Misato Tsuruta, Ryuji Yoshimoto, Atsuyuki Morishima, "Advancement of bibliographic identification using a crowdsourcing system," Proceedings of the 9th Asia-Pacific Conference on Library & Information Education and Practice(A-LIEP 2019) pp. 71-82 Nov 2019.
Atsuyuki Morishima, Munenari Inoguchi, Keishi Tajima, Itaru Kitahara, "Digital Knowledge Era and the Future of Work: Challenges and the Current Status of JST CyborgCrowd Project," Proceedings of International Conference on Digital Landscape 2019, NewDelhi, pp. 68-78, Nov. 2019.
Rumi Hiraga, Daisuke Wakatsuki, Yuhki Shiraishi, Masayuki Inoue, Yuka Kogo, Yoshiki Fukunaga, Makoto Kobayashi, Manabi Miyagi, Takeaki Shionome, Jianwei Zhang, and Atsuyuki Morishima: First Evaluation of Information Support of everyone by everyone for everyone TimeLine (ISeeeTL) applied to Deaf and Hard of Hearing People Watching Sport. The 15th International Conference of the Association for the Advancement of Assistive Technology in Europe (AAATE 2019), pp.S135-S136, Bologna, Italy, Aug 27-30, 2019.
Masaki Matsubara, Yuta Nakamura, Nobutaka Suzuki, Munenari Inoguchi, Atsuyuki Morishima, "A Route Search System Considering Urgency and Efficient Coverage without Complete Information", the First International Workshop on Practical Issues, Systems & Applications for Disaster Risk Reduction in Smart Computing (DRRSC 2019), pp. 479－483, Kyoto, Japan, Feb 27 (Feb 27-Mar 2), 2019.
Masaki Matsubara, Masaki Kobayashi, Atsuyuki Morishima, "A Learning Effect by Presenting Machine Prediction as a Reference Answer in Self-correction," In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3521－3527, Seattle, USA, Dec 10 (Dec 10-13), 2018.
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Nadeesha Wijerathna, Masaki Matsubara, Atsuyuki Morishima. Finding Evidneces by Crowdsourcing. In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in Big Data (IEEE HMData 2018 ), pp. 3559-3562, Seattle, USA, Dec 10 (Dec 10 - 13), 2018.
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Ying Zhong, Masaki Matsubara, Atsuyuki Morishima, "Identification of Important Images for Understanding Web Pages," In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3567－3573, Seattle, USA, Dec 10 (Dec 10-13), 2018.
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Hirotaka Hashimoto, Masaki Matsubara, Yuhki Shiraishi, Daisuke Wakatsuki, Jianwei Zhang and Atsuyuki Morishima, "A Task Assignment Method Considering Inclusiveness and Activity Degree," In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3497-3502 , Seattle, WA, USA, 2018.
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Atsuyuki Morishima, Keishi Tajima, Itaru Kitahara, Munenari Inoguchi, Masaki Matsubara and Hidehiko Shishido, “JST CREST CyborgCrowd Project,” Proc. of Project Networking Workshop at the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2 pages, Zurich, Switzerland, July 5, 2018.
Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, and Atsuyuki Morishima, "Efficient Pipeline Processing of Crowdsourcing Workflows," In Proceedings of The 27th ACM International Conference on Information and Knowledge Management, Torino, Italy, October 22–26, 2018 (CIKM ’18), pp.1559-1562 (Acceptance rate 23.4%)
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Katsumi Kumai, Masaki Matsubara, Yuhki Shiraishi, Daisuke Wakatsuki, Jianwei Zhang, Takeaki Shionome, Hiroyuki Kitagawa and Atsuyuki Morishima, Skill-and-Stress-Aware Assignment of Crowd-Worker Groups to Task Streams, The sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), pp.88-97, Zurich, Switzerland July 6 (July 5–8), 2018
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Masaki Kobayashi, Hiromi Morita, Masaki Matsubara, Nobuyuki Shimizu, Atsuyuki Morishima, An Empirical Study on Short- and Long-term Effects of Self-Correction in Crowdsourced Microtasks, The sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), pp.79-87, Zurich, Switzerland July 7 (July 5–8), 2018
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Suzuki, R., Sakaguchi, T., Matsubara, M. and Morishima, A.: CrowdSheet: An Easy-To-Use One-Stop Tool for Writing and Executing Complex Crowdsourcing. 30th International Conference on Advanced Information Systems Engineering(CAiSE 2018), pp.137-153, Tallinn, Estonia, 2018.6
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Ryota Hayashi, Nobuyuki Shimizu, Atsuyuki Morishima, “Worker Viewpoints: Valuable Feedback for Microtask Designers in Crowdsourcing” , The International Workshop on Social Computing(IWSC 2017), co-organized with the 26th World Wide Web Conference, pp. 1387-1393, April 4 (April 3-7), 2017.
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Kosetsu Ikeda, Ryota Hayashi, Kiyonori Nagasaki, Atsuyuki Morishima, “Human-assisted OCR of Japanese Books with Different kinds of Microtasks”, iConference 2017, 5 pages , Wuhun ,China, March 24 (March 22-25) ,2017.
Atsuyuki Morishima, Kiyonori Nagasaki, Kosetsu Ikeda, Takanori Kawashima, “The Hondigi/L-Crowd Joint Project: A Microtask-based Approach for Transcribing Japanese Texts”, International Conference on Digital Libraries 2016 (ICDL 2016), pp. 108-115, India Habitat Centre,New Delhi, Delhi, India, Dec.13-16, 2016.
Jianwei Zhang, Yuhki Shiraishi, Katsumi Kumai, Atsuyuki Morishima, “Real-time captioning of sign language by group of deaf and hard-of-hearing people” iiWAS '16 Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services, pp.54-63, Singapore, November 28 - 30, 2016.
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Ryota Hayashi, Nobuyuki Shimizu, Atsuyuki Morishima, “Obtaining Rephrased Microtask Questions from Crowds”, the 8th International Conference on Social Informatics (SocInfo 2016) , pp.323-336, Bellevue, USA, November 14 (November 14-17), 2016
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Yui Yasunaga, Atsuyuki Morishima, “MorphingAssist: Seamless Transformation from Keywords to Structured Queries.” Proc. of 31st ACM Symposium on Applied Computing (SAC 2016), pp.808-811, Pisa, Italy, April 6, 2016.
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Emi Sakurai, Atsuyuki Morishima, Kosetsu Ikeda, Nobutaka Suzuki, “Bookshelf problem: a human-in-the-loop approach for data grouping without complete information”, Proc. of iConference2016, 10 pages, Philadelphia, USA, March 21st, 2016.
Shun Fukusumi, Atsuyuki Morishima, Hiroyuki Kitagawa, “Game Aspect: An Approach to Separation of Concerns in Crowdsourced Data Management”, Proc. of 27th International Conference on Advanced Information Systems Engineering (CAiSE2015), pp.3-19, Stockholm, Sweden, June 10 , 2015 (Best Paper Award).
Atsuyuki Morishima, Shiori Tomita, Takanori Kawashima, Takashi Harada, Norihiko Uda, Sho Sato,Yukihiko Abematsu, “A Crowdsourcing Approach for Finding Misidentifications of Bibliographic Records,” Proc. of iConference 2014, pp.177-191, Berlin,Germany,March 6,2014.
Atsuyuki Morishima, Takanori Kawashima, Takashi Harada, Norihiko Uda, Ikki Ohmukai,“L-Crowd: A Library Crowdsourcing Project by LIS and CS Researchers in Japan,” International Conference on DigitalLibrary(ICDL2013) , pp.40-47,New Delhi, Delhi, India, Nov.28,2013.
Hideto Aoki, Atsuyuki Morishima,” A Divide-and-Conquer Approach for Crowdsourced Data Enumeration,” The 5th International Conference on Social Informatics (SocInfo2013),pp.60-74,Kyoto,Nov.25,2013.
Atsuyuki Morishima, Erika Yumiya, Masami Takahashi,Shigeo Sugimoto,Hiroyuki Kitagawa,” Efficient Filtering and Ranking Schemes for Finding Inclusion Dependencies on the Web,” 22nd International Conference on Information and Knowledge Management (CIKM),pp763-768, San Francisco,USA,October 29th,2013.
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Kenji Gonnokami, Atsuyuki Morishima, Hiroyuki Kitagawa, “Condition-Task-Store: A Declarative Abstraction for Microtask-based Complex Crowdsourcing,” The First VLDB Workshop on Databases and Crowdsourcing (DBCrowd2013) ,pp.20-25,Trento,Italy,Aug.26-30,2013.
Yui Yasunaga, Atsuyuki Morishima, Hiroki Sodeyama, Masateru Tadaishi, Shigeo Sugimoto, “Gradation: A Pay-as-You-Go Style Hybrid Query Language for Structured and Text Data,” Proceedings of the 2013 iConference, pp.209-220, Fort Worth, Texas, USA,Feb 12-15,2013.
Tomomi Mitsuishi, Atsuyuki Morishima, Norihide Shinagawa, Hideto Aoki, “Efficient Evaluation of Human-powered Joins with Crowdsourced Join Pre-filters,” The 7th ACM International Conference on Ubiquitous Information Management and Communication (ICUIMC2013), 6 pages, Kota Kinabalu, Malaysia, January 17-19, 2013.
Sousuke Ohta, Atsuyuki Morishima, Toshiyuki Amagasa, Norihide Shinagawa, “C-Mapping: A Flexible XML-RDB Mapping Method based on Functional and Inclusion Dependencies.” Proc. the 27th ACM Symposium On Applied Computing (SAC 2012), pp.834-839, Trento, Italy, March 26-30, 2012.
Atsuyuki Morishima,Norihide Shinagawa, Shoji Mochizuki, “The Power of Integrated Abstraction for Data-Centric Human/Machine Computations.” First International Workshop on Searching and Integrating New Web Data Sources (VLDS2011), pp. 5-9, Seattle, WA, USA, September 2, 2011.
国際会議ポスター・デモPosters / Demos
Ying Zhong, Makoto Kobayashi, Masaki Matsubara and Atsuyuki Morishima, "A Survey of Visually Impaired Workers in Japanese and US Crowdsourcing Platforms", The eighth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2020), Virtual conference, Oct 26–29 2020, pp.xx-yy(to appear)
Yu Yamashita, Masaki Kobayashi, Kei Wakabayashi and Atsuyuki Morishima, "Dynamic Worker-Task Assignment for High-Quality Task Results with ML Workers", The eighth AAAI Conference on Human Computation and Crowdsourcing (HCOMP2020), Virtual conference, Oct 26–29 2020, pp.xx-yy(to appear)
Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong,
“ A System for Worldwide COVID-19 Information Aggregation,” NLP COVID-19 Workshop, The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), virtual poster session, July 9-10, 2020.
Masaki Kobayashi, Kei Wakabayashi, and Atsuyuki Morishima, “ Quality-aware Dynamic Task Assignment in Human+AI Crowd,” In Companion Proceedings of the Web Conference 2020 (WWW '20 Companion), pp.118-119, April 20– 24, 2020, Taipei, Taiwan. ACM, New York, NY, USA.
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Kohta Katsuno, Masaki Matsubara, Chiemi Watanabe and Atsuyuki Morishima, “Improving Reproducibility of Crowdsourcing Experiments,” The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP2019), Wip/Demo track, 2 pages, Skamania Lodge, WA, USA, Oct.28-30, 2019.
Ying Zhong, Masaki Matsubara, Makoto Kobayashi and Atsuyuki Morishima, “Understandable Microtasks with No Visual Representation,” The 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP2019), Wip/Demo track, 2 pages, Skamania Lodge, WA, USA, Oct.28-30, 2019.
Tomoya Mikami, Masaki Matsubara, Takashi Harada and Atsuyuki Morishima: Worker Classification based on Answer Pattern for Finding Typical Mistake Patterns. In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3528－3532, Seattle, USA, Dec 10 (Dec 10-13), 2018.
Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki Amagasa, Atsuyuki Morishima: A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing. In Proceedings of The Second IEEE Workshop on Human-in-the-loop Methods and Human Machine Collaboration in BigData (IEEE HMData2018), pp. 3551－3553, Seattle, USA, Dec 10 (Dec 10-13), 2018.
Morishima, A., Tajima, K., Kitahara, I., Inoguchi, M., Matsubara, M. and Shishido, H. JST CREST CyborgCrowd Project. Proc. of Project Networking Workshop at The sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 3 pages, Zurich, Switzerland July 5, 2018
Suzuki, R., Sakaguchi, T., Matsubara, M. and Morishima, A. “CrowdSheet: Instant Implementation and Out-of-Hand Execution of Complex Crowdsourcing”, 34th IEEE International Conference on Data Engineering, pp.1633-1636, Paris, 2018.4
Yuzuki Furuhashi, Matsubara Masaki, Atsuyuki Morishima. “Crowd-based Best-effort Number Estimation”, The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017), pp.4293-4295, Boston, USA, Dec 11 (Dec 11-14), 2017
Naoki Kobayashi, Matsubara Masaki, Keishi Tajima, Atsuyuki Morishima. “A Crowd-in-the-Loop Approach for Generating Conference Programs with Microtasks”, The First IEEE Workshop on Human-Machine Collaboration in BigData (HMData2017), pp.4312-4314, Boston, USA, Dec 11 (Dec 11-14), 2017
Katsumi Kumai, Yuhki Shiraishi, Jianwei Zhang, Hiroyuki Kitagawa, Atsuyuki Morishima. “Group Rotation Type Crowdsourcing”, The Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016) , 3 pages, AT&T Executive Conference Center, Austin, USA, Nov 2 (Oct 30-Nov 4), 2016
Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. “Collaborative Crowdsourcing with Crowd4U”. 42nd International Conference on Very Large Data Bases (VLDB2016), pp1497-1500 New Delhi, India, Sep 6 (Sep 5-9), 2016.
Nobuyuki Shimizu, Atsuyuki Moirshima, Ryota Hayashi. “A Crowdsourcing Method for Obtaining Rephrased Questions”. Proc. of Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP2015) WorkInProgress, pp. 32-33, San Diego, USA, Nov 8-11, 2015.
Atsuyuki Morishima, Sihem Amer-Yahia, Senjuti Basu Roy. “Crowd4U: An Initiative for Constructing an Open Academic Crowdsourcing Network” , Second AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014) WorkInProgress, pp. 50-51, Pittsburgh, USA, Nov 2-4), 2014.
Atsuyuki Morishima, Norihide Shinagawa, Tomomi Mitsuishi, Hideto Aoki, Shun Fukusumi,“CyLog/Crowd4U: A Declarative Platform for Complex Data-centric Crowdsourcing,” 38th International Conference on Very Large Data Bases(VLDB2012), PVLDB 5(12): 1918-1921 (2012),Istanbul, Turkey, Aug 27-31,2012.
Erika Yumiya, Atsuyuki Morishima, Masami Takahashi, Shigeo Sugimoto, Hiroyuki Kitagawa,“Filtering and Ranking Schemes for Finding Inclusio[PDF]
著書Books
森嶋 厚行著・喜連川 優コーディネーター, “クラウドソーシングが不可能を可能にする―小さな力を集めて大きな力に変える科学と方法―”, ISBN 978-4-320-00932-5, 200 pages, 共立出版，2020年5月18日.
Sihem Amer-Yahia, Lei Chen, Atsuyuki Morishima, Senjuti Basu Roy (Eds). Special Issue on Imagine All the People and AI in the Future of Work. IEEE Data Engineering Bulletin. Vol. 42 No. 4, December 2019.
Atsuyuki Morishima, Andreas Rauber, Chern Li Liew, ”Digital Libraries: Knowledge, Information, and Data in an Open Access Society”, 18th International Conference on Asia-Pacific Digital Libraries, ICADL 2016, Tsukuba, Japan, December 7-9, 2016, Proceedings. Lecture Notes in Computer Science 10075, Springer 2016, ISBN 978-3-319-49303-9.
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