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    • Mizuki Hisatomi, Keishi Tajima

    Graph-Structure-Based Grouping of Web Browser Tabs into Tasks

    Adjunct Proc. of 38th ACM Symposium on User Interface Software and Technology,
    pp. 96:1-96:3, ACM Press, September 2025 (ACM DL)

    Masafumi Iwanaga, Keishi Tajima

    Analysis of Echo Chamber Formation by Friend Recommendation

    Proc. of 36th ACM Conference on Hypertext and Social Meda,
    pp.38-42, ACM Press, September 2025 (ACM DL)

    Yixing Zhang, Yoko Yamakata, Keishi Tajima

    SARI: A Stage-Aware Recognition Method for Ingredients Changing Appearance in Cooking Image Sequences

    Journal of Information Processing, Vol.33, pp.104-114, IPSJ, 2025 (J-STAGE)
    (preprint: 情報処理学会論文誌データベース, TOD104, Vol.18, No.1, 2025 (IPSJ Digital Library)

    Masafumi Iwanaga, Keishi Tajima, Yoko Yamakata

    Next Topic Recommendation for Influencers on Social Media

    Proc. of IEEE International Conference on BigData,
    pp.723-728, IEEE Computer Society Press, December 2024 (IEEE Xplore, IEEE CS DL)

    Yixing Zhang, Yoko Yamakata, Keishi Tajima

    Adaptive Feature Inheritance and Thresholding for Ingredient Recognition in Multimedia Cooking Instructions

    Proc. of 6th ACM International Conference on Multimedia in Asia,
    pp.94:1-94:7, ACM Press, December 2024 (ACM DL)

    Eisaku Yoshikawa, Keishi Tajima

    Content-Based Exclusion Queries in Keyword-Based Image Retrieval

    Proc. of 14th ACM International Conference on Multimedia Retrieval,
    pp.1145-1149, ACM Press, June 2024 (ACM DL)

    Hirotaka Nagashima, Keishi Tajima

    Automatic Construction of Expiration Time Expression Dataset from Retweets

    Companion Proc. of 33th The Web Conference,
    pp.545-548, ACM Press, May 2024 (ACM DL)

    Satoshi Horikawa, Chiyonosuke Nemoto, Keishi Tajima, Masaki Matsubara, Atsuyuki Morishima

    An Adaptive Feature Selection Method for Learning-to-Enumerate Problem

    Proc. of 46th European Conference on Information Retrieval Part III,
    pp.122-136, Springer, March 2024 (Springer Link)

    Tetsuya Sasaoka, Yoko Yamakata, Keishi Tajima

    Search Result Presentation for Non-Native Language Documents

    Companion Proc. of 29th ACM International Conference on Intelligent User Interfaces,
    pp.89-94, ACM Press, March 2024 (ACM DL)

    Mamoru Yamakawa, Keishi Tajima

    A Centrality for Social Media Users Focusing on Information-Gathering Ability

    Proc. of 34th ACM Conference on Hypertext and Social Media,
    pp.32:1-32:9, ACM Press, September 2023 (ACM DL)

    Ruide Li, Yoko Yamakata, Keishi Tajima

    Active Learning Strategies Based on Text Informativeness

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology,
    pp.32-39, IEEE Computer Society Press, November 2022 (IEEE Xplore, IEEE CS DL)

    Shuhei Kobayashi, Keishi Tajima

    Real-World Popularity Estimation from Community Structure of Followers on SNS

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology,
    pp.238-334, IEEE Computer Society Press, November 2022 (IEEE Xplore, IEEE CS DL)

    Yudai Kato, Marie Katsurai, Keishi Tajima

    Worker Qualifications for Image-Aesthetic-Assessment Tasks in Crowdsourcing

    Work-in-progress paper in AAAI HCOMP,
    #pages:3, November 2022

    Yixin Zhang, Yoko Yamakata, Keishi Tajima

    MIAIS: A Multimedia Recipe Dataset with Ingredient Annotation at Each Instructional Step

    Proc. of International Workshop on Multimedia for Cooking, Eating, and related APPlications (CEA++) (In conj. with ACMMM), pp.49-52, ACM Press, October 2022 (ACM DL)

    Ayato Watanabe, Keishi Tajima

    Spammer Detection Based on Task Completion Time Variation in Crowdsourcing

    Proc. of 5th HMData Workshop (collocated with IEEE BigData),
    pp.3568-3570, IEEE Computer Society Press, December 2021 (IEEE Xplore, IEEE CS DL)