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  • Taka Menishi, Keishi Tajima

    Identifying Tags Describing Image Contents

    Proc. of 30th ACM Conference on Hypertext,
    pp.297-298, ACM Press, September 2019 (ACM DL)

    Masahiro Inoue, Keishi Tajima

    Temporal Analysis of Supply and Demand of Topics on The Web

    Proc. of ACM Conference on Web Science,
    pp.143-144, ACM Press, June 2019 (ACM DL)

    Momo Kyozuka, Yang Xu, Keishi Tajima

    A Ranking Method for Relaxed Queries in Book Search

    Proc. of ACM/IEEE Joint Conference on Digital Libraries,
    pp.400-401, ACM Press, June 2019 (ACM DL)

    Xiaoni Duan, Keishi Tajima

    Improving Multiclass Classification in Crowdsourcing by Using Hierarchical Schemes

    Proc. of The Web Conference,
    pp.2694-2700, ACM Press, May 2019 (ACM DL)

    Yuanyuan Wang, Panote Siriaraya, Haruka Sakata, Yukiko Kawai, Keishi Tajima

    A Map Search System based on a Spatial Query Language

    (demo paper). Proc. of International Conference on Extending Database Technology,
    pp. 578-581, OpenProceedings.org, March 2019

    Yuanyuan Wang, Panote Siriaraya, Yukiko Kawai, Keishi Tajima

    A Proposal of Spatial Operators for a Collaborative Map Search System

    Companion Proc. of ACM International Conference on Intelligent User Interfaces,
    ACM Press, March 2019 (ACM DL)

    Yoko Yamakata, Keishi Tajima, Shinsuke Mori

    A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus

    Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
    pp.3564-3567, IEEE Computer Society Press, December 2018 (IEEE Xplore)

    Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki AmagasaAtsuyuki Morishima,

    A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing

    Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
    pp.3552-3554, IEEE Computer Society Press, December 2018 (IEEE Xplore)

    Momo Kyozuka, Keishi Tajima,

    Ranking Methods for Query Relaxation in Book Search

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence,
    pp.466-473, IEEE Computer Society Press, December 2018 (IEEE XploreIEEE CS DL)

    Daisuke Kataoka, Keishi Tajima,

    SNS Retrieval Based on User Profile Estimation Using Transfer Learning from Web Search

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence,
    pp.278-285, IEEE Computer Society Press, December 2018 (IEEE XploreIEEE CS DL)

    Ken Mizusawa, Keishi Tajima, Masaki MatsubaraToshiyuki AmagasaAtsuyuki Morishima,

    Efficient Pipeline Processing of Crowdsourcing Workflows

    Proc. of 27th ACM International Conference on Information and Knowledge Management,
    pp.1559-1562, ACM Press, October 2018 (ACM DL)

    Naoki Kobayashi, Masaki Matsubara, Keishi Tajima, Atsuyuki Morishima,

    A Crowd-in-the-Loop Approach for Generating Conference Programs with Microtasks

    Proc. of 1st HMData Workshop (collocated with IEEE BigData),
    pp.4312-4314, IEEE Computer Society Press, December 2017 (IEEE Xplore)

    Xiaoni Duan, Keishi Tajima,

    Improving Classification Accuracy in Crowdsourcing through Hierarchical Reorganization

    Proc. of 1st HMData Workshop (collocated with IEEE BigData),
    pp.4290-4292, IEEE Computer Society Press, December 2017 (IEEE Xplore)

    Tomohiro Manabe, Keishi Tajima,

    Subtopic Ranking Based on Block-Level Document Analysis

    Lecture Notes in Business Information ProcessingVol. 292,
    (Revised Selected Papers from Proc. of 12th International Conference on Web Information Systems and Technologies),
    pp. 83-104, Springer-Verlag, October 2017