MENU
  • Research Projects
  • Members
  • Publications
  • Access
  • 日本語
Katsurai Laboratory / Doshisha University
  • Research Projects
  • Members
  • Publications
  • Access
  • 日本語
Katsurai Laboratory / Doshisha University
  • Research Projects
  • Members
  • Publications
  • Access
  • 日本語
  1. Home
  2. Publications

Publications

2026

International Conferences

  • 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

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).

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

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

International Conferences

  • 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.

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

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

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

2018

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.

2017

Journals

  • 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

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

2016

Journals

  • 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

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.