Hiroyoshi Nagao, Koshiro Tamura and Marie Katsurai, “Effective Language Representations for Danmaku Comment Classification in Nicovideo,” IEICE Transactions on Information and Systems, vol.E106-D, no.5, pp. 838–846, May 2023. PDF (Open Access)
ニコニコ大百科でBERTを訓練し、コメントカテゴリ分類へ応用。
第一著者はM1学生。
解説論文・招待講演
桂井麻里衣，「学術データに基づく研究者の特徴表現」，人工知能，vol. 38, no. 3, pp. 392–398, 2023. PDF
Tomoya Sawada, Marie Katsurai, and Masashi Okubo, “High-Quality Synthetic Character Image Extraction via Distortion Recognition“, The 25th International Conference on Human-Computer Interaction (HCII2023), to appear.
GANによるキャラクタ画像生成結果のソーティング手法を提案。
第一著者はD1学生（投稿時）。
Marie Katsurai and Yasuhito Takahashi, “Feature Extraction and Visualization Using Convolutional Neural Networks for Design Optimization of Synchronous Reluctance Motors,“, The 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG2023), 2023.
Sukjin You, Soohyung Joo, Marie Katsurai, “Data mining topics in the discipline of library and information science: analysis of influential terms and Dirichlet multinomial regression topic model,” Aslib Journal of Information Management, 2022, https://doi.org/10.1108/AJIM-05-2022-0260
図書館情報学分野におけるデータマイニング問題のトピック分析。
University of Wisconsin-Milwaukee, University of Kentuckyとの共同研究。
Koya Tango, Marie Katsurai, Hayato Maki, and Ryosuke Goto, “Anime-to-real clothing: Cosplay costume generation via image-to-image translation,” Multimedia Tools and Applications, vol. 81, pp. 29505–29523, 2022, https://doi.org/10.1007/s11042-022-12576-x. PDF (Open Access)
アニメキャラクタ画像に対する実写風衣装画像の自動生成。
第一著者は2019年度卒論生。株式会社ZOZOテクノロジーズ（当時社名）との共同研究。
解説論文・招待講演
桂井麻里衣，高橋康人，「”電気機器の磁気回路最適設計における畳み込みニューラルネットワークを用いた特徴量抽出」，日本AEM学会誌，vol. 30, no.4, pp. 394–401, 2022. PDF (Open Access)
Yudai Kato, Marie Katsurai, and Keishi Tajima, “Worker Qualifications for Image-Aesthetic-Assessment Tasks in Crowdsourcing,” The 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022), 3 pages, 2022. PDF
クラウドソーシングにおけるワーカ条件の設定。
第一著者はM2学生。京都大学・田島先生との共同研究。
Natsuki Hashimoto and Marie Katsurai, “Idea Mining and Visualization Based on Tweet Analysis,” 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), pp. 186-188, 2022. 10.1109/ICCE-Asia57006.2022.9954803
ツイート集合からサービス改善のための意見を抽出。
第一著者はM2学生。
Hiroki Yamauchi, Tomoyuki Kajiwara, Marie Katsurai, Ikki Ohmukai, Takashi Ninomiya, “A Japanese Masked Language Model for Academic Domain,” Proceedings of the Third Workshop on Scholarly Document Processing (SDP), pp. 152-157, 2022. PDF
Rino Naka, Marie Katsurai, Keisuke Yanagi, Ryosuke Goto, “Fashion Style-Aware Embeddings for Clothing Image Retrieval,” Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR), pp. 49-53, 2022. https://doi.org/10.1145/3512527.3531433
シルエットや季節などを考慮したコーディネート画像検索。
第一著者はB4学生（投稿時）。株式会社ZOZO NEXTとの共同研究。
Tetsuya Takahashi and Marie Katsurai, “SolutionTailor: Scientific Paper Recommendation Based on Fine-Grained Abstract Analysis,” Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science, vol 13186. Springer, Cham. 2022. https://doi.org/10.1007/978-3-030-99739-7_40PDF
研究目的が同じでアプローチが異なる論文の検索。
第一著者はM2学生（投稿時）。
Ryo Yaegashi, Yu Nakayama, Moe Matsuki, Ryoma Yasunaga, and Marie Katsurai, “First Experimental Results on Real-Time Cleaning Activity Monitoring System,” 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), pp. 393-398, 2022.
Soohyung Joo, Jennifer Hootman, and Marie Katsurai, “Exploring the Digital Humanities Research Agenda: A Text Mining Approach,” Journal of Documentation, 2021. https://doi.org/10.1108/JD-03-2021-0066
Marie Katsurai and Soohyung Joo, “Adoption of Data Mining Methods in the Discipline of Library and Information Science,” Journal of Library and Information Studies, vol. 19, no. 1, pp. 1–17, June 2021. PDF (Open Access)
Yuto Chikazawa, Marie Katsurai, and Ikki Ohmukai, “Multilingual Author Matching Across Different Academic Databases: A Case Study on KAKEN, DBLP, and PubMed,” Scientometrics, vol. 126, pp. 2311–2327, February, 2021. https://doi.org/10.1007/s11192-020-03861-3
国際会議
Koshiro Tamura and Marie Katsurai, “Selective Classification of Danmaku Comments Using Distributed Representations,” Proceedings of the 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021), pp. 134–140, 2021.
Tomoya Nishide and Marie Katsurai, “Finding the Relevance Between Publication Venues Based on Research Trend Similarity and Citation Relationships,” Proceedings of 2021 ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL2021), pp. 310–311, 2021.
Natsuki Hashimoto, Marie Katsurai, and Ryosuke Goto, “A Visualization Interface for Exploring Similar Brands on a Fashion E-Commerce Platform,” Proceedings of 2021 International Conference on Web Services (ICWS2021), pp. 642–644, 2021.
Tetsuya Takahashi, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda, “Visualizing Characteristic Interdisciplinary Research Collaborations Among Departments in a University,” Proceedings of 18th International Conference on Scientometrics & Informetrics (ISSI2021), pp. 1075–1080, 2021.
Takayuki Nishio, Yoshiaki Inoue, Yu Nakayama, and Marie Katsurai, “Joint Computation Offloading and Sampling Interval Optimization for Accuracy-Guaranteed Surveillance”, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC2021), pp. 1–6, 2021. 10.1109/CCNC49032.2021.9369655
国内会議
金崎翔大，河野誠也，湯口彰重，桂井麻里衣，吉野幸一郎，「対話における後続発話のエントレインメント予測」， 第12回対話システムシンポジウム, pp. 50–55, オンライン開催，2021年11月.
嘉藤 悠大，桂井麻里衣，田島 敬史，「クラウドソーシングを用いた画像の美的評価に関する検討」， 第20回情報科学技術フォーラム（FIT2021) 講演論文集 第2分冊, pp. 191–193, オンライン開催, 2021年8月．
2020
国際会議
Tetsuya Takahashi, Koya Tango, Yuto Chikazawa, and Marie Katsurai, “A Novel Researcher Search System Based on Research Content Similarity and Geographic Information,” International Conference on Asian Digital Libraries (ICADL 2020), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_36. PDF
Hiroya Ikeda, Marie Katsurai, Akinori Iwata, Toshihisa Tanaka, “What Visual Attributes Make Mascot Characters Memorable? A Case Study on “Yuru-Charas”,” ICCE-Asia 2020, 4 pages, Nov. 2020.
Yu Nakayama, Yoshiaki Inoue, and Marie Katsurai, “RAMNe: Realtime Animal Monitoring over Network with Age of Information,” IEEE International Conference on Communications (ICC) Workshop on C-IoT, pp. 1–6, Online, June 2020.
Tomoya Sawada and Marie Katsurai, “A Deep Multimodal Approach for Map Image Classification,” In ICASSP 2020 – 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2020), pp. 4457–4461, 2020. PDF
国内会議
田中眞之，桂井麻里衣，髙橋康人，藤原耕二，「畳み込みニューラルネットワークを用いた磁気回路の特徴量抽出に関する検討 (2) ～同期リラクタンスモータのトポロジー最適化へのマルチタスク学習の適用～」， 電気学会静止器・回転機合同研究会，SA21028/RM21028， pp. 791–84，オンライン開催，2020年9月．
田中眞之，桂井麻里衣，髙橋康人，藤原耕二，「畳み込みニューラルネットワークを用いた磁気回路の特徴量抽出に関する検討」， 電気学会静止器・回転機合同研究会，SA-20-46/RM-20-70, pp. 81–86，オンライン開催，2020年9月．
中山悠，井上文彰，桂井麻里衣，「動物モニタリングシステムにおけるAge of Informationを用いたデータ量低減手法」， 電子情報通信学会総合大会, B-15-48, オンライン開催，2020年3月．
Marie Katsurai and Shunsuke Ono, “TrendNets: Mapping Emerging Research Trends From Dynamic Co-Word Networks via Sparse Representation,” Scientometrics, vol. 121, no. 3, pp. 1583–1598, 2019. PDF (Open Access)
国際会議
Marie Katsurai and Ikki Ohmukai, “Author Matching Across Different Academic Databases: Aggregating Simple Feature-Based Rankings,” Proceedings of 2019 ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL2019), pp. 279–282, 2019.
国内会議
桂井麻里衣，小野峻佑，「語の共起関係に基づく研究トレンドの可視化」， 信学技報, vol. 119, no. 185, SIP2019-43, pp. 23–27, 2019年8月.
山口元気，桂井麻里衣，「機械学習を用いた地図画像の多クラス分類」， 人工知能学会研究会資料，vol. 47, no. 11, pp. 1–5, 石垣，2019年3月.
荒木将貴，桂井麻里衣，大向一輝，武田英明，「大学における部局横断型共同研究の活発さを把握する指標の検討」， 日本データベース学会和文論文誌, Vol. 16, Article No. 2, 2018年3月． PDF
国際会議
Mayu Kimura and Marie Katsurai, “Investigating the Consistency of Emoji Sentiment Lexicons Constructed Using Different Languages,” Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services (iiWAS2018), pp. 310–313, 2018.
Hiroyuki Nishizawa, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda, “Measuring Researcher Relatedness with Changes in their Research Interests,” Proceedings of 2018 APSIPA Annual Summit and Conference (APSIPA ASC 2018), pp. 149–152, 2018.
桂井麻里衣，佐藤真一， 「画像・テキスト・感情語の潜在的な相関に基づく画像の感情分類」， 日本データベース学会和文論文誌，vol. 15-J，Article No.10, 2017年3月． PDF
国際会議
Satoshi Sanjo and Marie Katsurai, “Towards Recommending Diverse Seasonal Cooking Recipes: A Preliminary Study Based on Monthly View Data,” Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2017), pp. 306–310, 2017.
Satoshi Sanjo and Marie Katsurai, “Recipe Popularity Prediction with Deep Visual-Semantic Fusion,” Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017), pp. 2279–2282, 2017.
Mayu Kimura and Marie Katsurai, “Automatic Construction of an Emoji Sentiment Lexicon,” Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), pp. 1033–1036, 2017. (NOTE: We presented at FAB2017, which was held in conjunction with ASONAM2017.)
Marie Katsurai, “Bursty Research Topic Detection From Scholarly Data Using Dynamic Co-Word Networks: A Preliminary Investigation,” Proceedings of 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA 2017), pp. 115–119, 2017 (Excellent Oral Presentation Award).
Marie Katsurai and Satoshi Sanjo, “Automatic Association of Social Media Images with Emotions Using Deep Learning-Based Features,” International Congress of Psychology (ICP 2016), Yokohama, Japan, July 2016.
Satoshi Sanjo and Marie Katsurai, “Exploring Visual Features of Emotional Images on Social Media,” Proceedings of the 31th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2016), T2-5-3, 2016.
Marie Katsurai and Shin’ichi Satoh, “Image Sentiment Analysis Using Latent Correlations Among Visual, Textual, and Sentiment Views,” Proceedings of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), pp. 2837–2841, 2016. Project page
Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda, “Topic Representation of Researchers’ Interests in a Large-Scale Academic Database,” Proceedings of the 30th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2015), pp. 35–37, 2015.