Ken Shiozawa, Hiroo Hayashi, Soramichi Akiyama, and Marie Katsurai. 2026. Detecting Slang on the Dark Web Based on Word Co-Occurrence Relationships in Anchor Texts. In ICOIN2026 (to appear). PDF
2025
Journals
Kazuhiro Yamauchi, Takaharu Matsuda, and Marie Katsurai. 2025. Keyword–platform relationships in social media research: insights into computer science conference proceedings. Aslib Journal of Information Management. DOI: https://doi.org/10.1108/AJIM-11-2024-0890 PDF
Tomoya Sawada, Marie Katsurai, and Masashi Okubo. 2025. Quality assessment of synthetic images via spatial distortion recognition. Machine Vision and Applications. vol. 36, no. 103. DOI: https://doi.org/10.1007/s00138-025-01724-6
International Conferences
Moriyuki Kamoto, Akihiro Tamura, and Marie Katsurai. 2025. NIED: A Corpus for Numeric Information Extraction from Dataset Descriptions. In 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL). pp. 241–244. DOI: https://doi.org/10.1109/JCDL67857.2025.00036
Kazuhiro Yamauchi and Marie Katsurai. 2025. Performance Analysis of Sequential Sentence Classification for Japanese Medical Papers. In The 40th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2025). Article No. 1571137293.
Ken Shiozawa and Marie Katsurai. 2025. Performance Evaluation of LLM-Based Approaches for Slang Detection. In The 40th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2025). Article No. 1571135674.
Moriyuki Kamoto and Marie Katsurai. 2025. Automated Metadata Extraction for Machine Learning Resources. In The 40th International Technical Conference on Circuits/Systems, Computers and Communications. Article No. 1571135699.
Shintaro Noda and Marie Katsurai. 2025. Investigating the Effectiveness of Image Synthesis-Based Data Augmentation for Clothing Parsing. In The 40th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2025). Article No. 1571139350.
Tomoya Sawada and Marie Katsurai. 2025. Evaluation of Illustration Generators with Domain-Specific Representations. In Del Bue, A., Canton, C., Pont-Tuset, J., Tommasi, T. (eds) Computer Vision – ECCV 2024 Workshops. ECCV 2024. Lecture Notes in Computer Science. vol. 15627. DOI: https://doi.org/10.1007/978-3-031-92808-6_9
長尾浩良，桂井麻里衣 ．学術情報推薦におけるグラフ構造の有効性検証．言語処理学会第31回年次大会発表論文集．P8-22, pp. 3322–3327, 2025年3月． PDF
嘉本名晋，梅澤悠河，長尾 浩良，桂井麻里衣 ．日本語論文に特化したPDF文書解析器の構築と性能評価．言語処理学会第31回年次大会発表論文集．A3-4, pp. 904–908, 2025年3月． PDF
2024
Journals
Tomoya Sawada and Marie Katsurai. 2024. Illustrated character face super-deformation via unsupervised image-to-image translation. Multimedia Systems. DOI: https://doi.org/10.1007/s00530-023-01255-y
Sukjin You, Soohyung Joo, Marie Katsurai. 2024. 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. pp. 65–85. DOI: https://doi.org/10.1108/AJIM-05-2022-0260
International Conferences
Hiroyoshi Nagao and Marie Katsurai. Researcher Representations Based on Aggregating Embeddings of Publication Titles: A Case Study in a Japanese Academic Database. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024). pp. 277–282. PDF
Kazuhiro Yamauchi and Marie Katsurai. 2024. Investigating Industry–Academia Collaboration in Artificial Intelligence: PDF-Based Bibliometric Analysis from Leading Conferences. In Oliver, G., Frings-Hessami, V., Du, J.T., Tezuka, T. (eds) Sustainability and Empowerment in the Context of Digital Libraries. ICADL 2024. Lecture Notes in Computer Science, Springer. vol. 15494, pp. 70–84. DOI: https://doi.org/10.1007/978-981-96-0868-3_5 PDF
Tomoya Sawada and Marie Katsurai. 2024. MambaPainter: Neural Stroke-Based Rendering in a Single Step. In SIGGRAPH Asia 2024 Posters (SA ’24). DOI: https://doi.org/10.1145/3681756.3697906 PDF
Kota Shimosaka and Marie Katsurai. 2024. Difficulty Prediction for Technology Blog Posts in Recommendation Systems. In 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC2024).
Yuga Umezawa and Marie Katsurai. 2024. Enhancing the Performance of Bibliographic Information Extraction for Japanese Academic Literature. In 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC2024). no. 19.
Kazuhiro Yamauchi, Yuga Umezawa and Marie Katsurai. 2024. Performance Evaluation of Bibliographic Information Extraction from PDF Documents in a Specific Scientific Domain. In 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC2024). no. 34.
Hiroo Hayashi and Marie Katsurai. 2024. Fine-Grained Classification of Researcher-Related Web Pages Using String and Contextual Features. In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). pp. 1480–1483. DOI: https://doi.org/10.1109/COMPSAC61105.2024.00200
Yuga Umezawa and Marie Katsurai. 2024. Extracting Scholarly Posts from Social Networks for Visualizing Researchers’ Communities. In EEE PacificVis2024 Poster.
Shota Kanezaki, Seiya Kawano, Akishige Yuguchi, Marie Katsurai. 2024. Entrainment Metrics/Strategies Evaluation in Conversation Response Re-ranking,. In The 14th International Workshop on Spoken Dialogue Systems Technology (IWSDS2024).
林容央，塩沢健，穐山空道，桂井麻里衣．ダークウェブ上のハイパーリンクを用いた隠語分析の検討．研究報告コンピュータセキュリティ (CSEC)．Vol. 2024-CSEC-106, No. 37, pp. 1–7, 2024年7月．
山内一礼，桂井麻里衣．学術論文PDFからの著者所属情報の抽出と分類．第38回人工知能学会全国大会論文集．2N1GS405, 2024年5月． PDF
長尾浩良，桂井麻里衣．成果テキスト埋め込みの集約に基づく研究者の特徴表現の検討．研究報告自然言語処理（NL）．Vol. 2024-NL-259, No. 4, pp. 1–6, 2024年3月．
山内洋輝，梶原智之，桂井麻里衣，二宮崇．言語横断類似度推定のための多言語文符号化器のドメイン適応．言語処理学会第30回年次大会発表論文集．P6-9, 2024年3月． PDF
金崎翔大，河野誠也，湯口彰重，桂井麻里衣，吉野幸一郎．エントレインメント尺度および戦略が対話システムの評価に与える影響の調査．言語処理学会第30回年次大会発表論文集．P5-8, 2024年3月． PDF
2023
Journals
Hiroyoshi Nagao, Koshiro Tamura and Marie Katsurai. 2023. Effective Language Representations for Danmaku Comment Classification in Nicovideo. IEICE Transactions on Information and Systems. vol. E106-D, no. 5. DOI: https://doi.org/10.1587/transinf.2022DAP0010 PDF
International Conferences
Seiya Kawano, Shota Kanezaki, Angel Fernando Garcia Contreras, Akishige Yuguchi, Marie Katsurai, and Koichiro Yoshino,. 2023. Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings. In Findings of the Association for Computational Linguistics: EMNLP 2023,. pp. 7911–7921. PDF
Marie Katsurai and Yasuhito Takahashi,. 2023. Feature Extraction and Visualization Using Convolutional Neural Networks for Design Optimization of Synchronous Reluctance Motors. In The 24th International Conference on the Computation of Electromagnetic Fields (COMPUMAG2023).
Tomoya Sawada, Marie Katsurai, and Masashi Okubo. 2023. High-Quality Synthetic Character Image Extraction via Distortion Recognition. In The 25th International Conference on Human-Computer Interaction (HCII2023), Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science. vol. 14013. DOI: https://doi.org/10.1007/978-3-031-35602-5_37
金崎翔大，河野誠也，湯口彰重，桂井麻里衣，吉野幸一郎．エントレインメントスコアを用いた応答リランキングとその自動評価．言語処理学会第29回年次大会発表論文集．pp. 1963–1968, 2023年3月． PDF
林容央, 桂井麻里衣．研究者の活動可視化に向けたウェブページの多クラス分類．第37回人工知能学会全国大会論文集．2P4-GS-11-02, 2023年6月． PDF
2022
Journals
Koya Tango, Marie Katsurai, Hayato Maki, and Ryosuke Goto. 2022. Anime-to-real clothing: Cosplay costume generation via image-to-image translation. Multimedia Tools and Applications. vol. 81, pp. 29505–29523. DOI: https://doi.org/10.1007/s11042-022-12576-x PDF
Yudai Kato, Marie Katsurai, and Keishi Tajima. 2022. Worker Qualifications for Image-Aesthetic-Assessment Tasks in Crowdsourcing. In The 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022). PDF
Natsuki Hashimoto and Marie Katsurai. 2022. Idea Mining and Visualization Based on Tweet Analysis. In 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). pp. 186–188. DOI: https://doi.org/10.1109/ICCE-Asia57006.2022.9954803
Rino Naka, Marie Katsurai, Keisuke Yanagi, Ryosuke Goto. 2022. Fashion Style-Aware Embeddings for Clothing Image Retrieval. In Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR). pp. 49–53. DOI: https://dl.acm.org/doi/abs/10.1145/3512527.3531433
Hiroki Yamauchi, Tomoyuki Kajiwara, Marie Katsurai, Ikki Ohmukai, Takashi Ninomiya. 2022. A Japanese Masked Language Model for Academic Domain. In Proceedings of the Third Workshop on Scholarly Document Processing (SDP). PDF
Tetsuya Takahashi and Marie Katsurai. 2022. SolutionTailor: Scientific Paper Recommendation Based on Fine-Grained Abstract Analysis. In Advances in Information Retrieval. ECIR 2022. Lecture Notes in Computer Science. vol. 13186. DOI: https://link.springer.com/chapter/10.1007/978-3-030-99739-7_40 PDF
Ryo Yaegashi, Yu Nakayama, Moe Matsuki, Ryoma Yasunaga, and Marie Katsurai. 2022. First Experimental Results on Real-Time Cleaning Activity Monitoring System. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC),. pp. 393–398.
解説論文・招待講演
桂井麻里衣．学術情報検索と推薦．NLP若手の会 (YANS) 第17回シンポジウム (YANS2022) チュートリアル講演．2022年． PDF
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年． PDF
国内学会
長尾浩良，田村宏士郎，桂井麻里衣．ニコニコ大百科を用いた単語分散表現の学習とその弾幕コメント分類への応用．第14回データ工学と情報マネジメントに関するフォーラム（DEIM2022）．E21-1, 2022年3月． PDF
金崎翔大，河野誠也，湯口彰重，桂井麻里衣，吉野幸一郎．エントレインメント予測に基づいたニューラル雑談対話モデルの応答リランキング．第36回人工知能学会全国大会論文集．2022年6月． PDF
2021
Journals
Soohyung Joo, Jennifer Hootman, and Marie Katsurai. 2021. Exploring the Digital Humanities Research Agenda: A Text Mining Approach. Journal of Documentation. vol. 78, no. 4. DOI: https://doi.org/10.1108/JD-03-2021-0066 PDF
Marie Katsurai and Soohyung Joo. 2021. 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. PDF
Yuto Chikazawa, Marie Katsurai, and Ikki Ohmukai. 2021. Multilingual Author Matching Across Different Academic Databases: A Case Study on KAKEN, DBLP, and PubMed. Scientometrics. vol. 126, pp. 2311–2327. DOI: https://doi.org/10.1007/s11192-020-03861-3 PDF
International Conferences
Koshiro Tamura and Marie Katsurai. 2021. Selective Classification of Danmaku Comments Using Distributed Representations. In Proceedings of the 23rd International Conference on Information Integration and Web Intelligence (iiWAS2021). pp. 134–140.
Tomoya Nishide and Marie Katsurai. 2021. Finding the Relevance Between Publication Venues Based on Research Trend Similarity and Citation Relationships. In Proceedings of 2021 ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL2021). pp. 310–311. DOI: https://doi.org/10.1109/JCDL52503.2021.00047
Natsuki Hashimoto, Marie Katsurai, and Ryosuke Goto. 2021. A Visualization Interface for Exploring Similar Brands on a Fashion E-Commerce Platform. In Proceedings of 2021 International Conference on Web Services (ICWS2021). pp. 642–644. DOI: https://doi.org/10.1109/ICWS53863.2021.00086
Tetsuya Takahashi, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda. 2021. Visualizing Characteristic Interdisciplinary Research Collaborations Among Departments in a University. In Proceedings of 18th International Conference on Scientometrics & Informetrics (ISSI2021). pp. 1075–1080. PDF
Takayuki Nishio, Yoshiaki Inoue, Yu Nakayama, and Marie Katsurai. 2021. Joint Computation Offloading and Sampling Interval Optimization for Accuracy-Guaranteed Surveillance. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC2021). pp. 1–6. DOI: https://doi.org/10.1109/CCNC49032.2021.9369655
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. 79–84, 2021年3月．
2020
International Conferences
Tetsuya Takahashi, Koya Tango, Yuto Chikazawa, and Marie Katsurai. 2020. A Novel Researcher Search System Based on Research Content Similarity and Geographic Information. In International Conference on Asian Digital Libraries (ICADL 2020). vol. 12504. DOI: https://doi.org/10.1007/978-3-030-64452-9_36 PDF
Hiroya Ikeda, Marie Katsurai, Akinori Iwata, Toshihisa Tanaka. 2020. What Visual Attributes Make Mascot Characters Memorable? A Case Study on “Yuru-Charas”. pp. 1–4. DOI: https://doi.org/10.1109/ICCE-Asia49877.2020.9277208
Yu Nakayama, Yoshiaki Inoue, and Marie Katsurai. 2020. RAMNe: Realtime Animal Monitoring over Network with Age of Information. In IEEE International Conference on Communications (ICC) Workshop on C-IoT. pp. 1–6. DOI: https://doi.org/10.1109/ICCWorkshops49005.2020.9145235
Tomoya Sawada and Marie Katsurai. 2020. 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. DOI: https://doi.org/10.1109/ICASSP40776.2020.9054767 PDF
Invited Articles
Marie Katsurai. 2020. Using word embeddings for library and information science research: a short survey. In ACM SIGWEB Newsletter. vol. Spring, no. 4, pp. 1–7. DOI: https://doi.org/10.1145/3387726.3387730 PDF
国内学会
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, 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, 2020年3月．
2019
Journals
Marie Katsurai and Shunsuke Ono. 2019. TrendNets: Mapping Emerging Research Trends From Dynamic Co-Word Networks via Sparse Representation. Scientometrics. vol. 121, no. 3, pp. 1583–1598. DOI: https://doi.org/10.1007/s11192-019-03241-6 PDF
International Conferences
Marie Katsurai and Ikki Ohmukai. 2019. Author Matching Across Different Academic Databases: Aggregating Simple Feature-Based Rankings. In Proceedings of 2019 ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL2019). pp. 279–282. DOI: https://doi.org/10.1109/JCDL.2019.00046
国内学会
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, 2019年3月．
2018
国内論文誌
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, No. 2, 2018年． PDF
International Conferences
Mayu Kimura and Marie Katsurai. 2018. Investigating the Consistency of Emoji Sentiment Lexicons Constructed Using Different Languages. In Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services (iiWAS2018). pp. 310–313. DOI: https://doi.org/10.1145/3282373.3282417
Hiroyuki Nishizawa, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda. 2018. Measuring Researcher Relatedness with Changes in their Research Interests. In Proceedings of 2018 APSIPA Annual Summit and Conference (APSIPA ASC 2018). pp. 149–152.
Masataka Araki, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda. 2017. Interdisciplinary Collaborator Recommendation Based on Research Content Similarity. IEICE Transactions on Information and Systems. vol. E100-D, no. 4, pp. 785–792. DOI: https://doi.org/10.1587/transinf.2016DAP0030 PDF
国内論文誌
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, No. 10, 2017年． PDF
International Conferences
Satoshi Sanjo and Marie Katsurai. 2017. Towards Recommending Diverse Seasonal Cooking Recipes: A Preliminary Study Based on Monthly View Data. In Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2017). pp. 306–310. DOI: https://doi.org/10.1109/ISSPIT.2017.8388660
Satoshi Sanjo and Marie Katsurai. 2017. Recipe Popularity Prediction with Deep Visual-Semantic Fusion. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017). pp. 2279–2282. DOI: https://doi.org/0.1145/3132847.3133137
Mayu Kimura and Marie Katsurai. 2017. Automatic Construction of an Emoji Sentiment Lexicon. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017). pp. 1033–1036. DOI: https://doi.org/10.1145/3110025.3110139
Marie Katsurai. 2017. Bursty Research Topic Detection From Scholarly Data Using Dynamic Co-Word Networks: A Preliminary Investigation. In Proceedings of 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA 2017). pp. 115–119. DOI: https://doi.org/10.1109/ICBDA.2017.8078788
Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda. 2016. Topic Representation of Researchers’ Interests in a Large-Scale Academic Database and Its Application to Author Disambiguation. IEICE Transactions on Information and Systems. vol. E99-D, no. 4, pp. 1010–1018.
International Conferences
Satoshi Sanjo and Marie Katsurai. 2016. Exploring Visual Features of Emotional Images on Social Media. In Proceedings of the 31th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2016). Article No. T2-5-3.
Marie Katsurai and Satoshi Sanjo. 2016. Automatic Association of Social Media Images with Emotions Using Deep Learning-Based Features. In International Congress of Psychology (ICP 2016).
Marie Katsurai and Shin’ichi Satoh. 2016. Image Sentiment Analysis Using Latent Correlations Among Visual, Textual, and Sentiment Views. In Proceedings of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016). pp. 2837–2841. DOI: https://doi.org/10.1109/ICASSP.2016.7472195 PDF
国内学会
木村真有，桂井麻里衣．ソーシャルメディアを用いた絵文字の感情極性分類．情報処理学会関西支部支部大会講演論文集．2016年9月． PDF
福井翔貴，桂井麻里衣．Wikipediaからの画像アトリビュート抽出に関する検討．電子情報通信学会総合大会 ISS学生ポスターセッション．ISS-SP-213, 2016年3月． PDF
小椋翔太，桂井麻里衣．ニコニコ動画における感情語辞書の半自動構築に関する検討．電子情報通信学会総合大会 ISS学生ポスターセッション．ISS-SP-242, 2016年3月． PDF
三條智史，桂井麻里衣．画像の感情識別に影響を与える領域の推定に関する検討．電子情報通信学会総合大会．D-12-25, 2016年3月． PDF
2015
International Conferences
Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda. 2015. Topic Representation of Researchers’ Interests in a Large-Scale Academic Database. In Proceedings of the 30th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2015). pp. 35–37.
