2023

Journals

  • 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)

International Conferences

  • 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.
  • 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.

2022

Journals

  • 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
  • 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)

International Conferences

  • 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
  • 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
  • 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
  • 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_40 PDF
  • 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.

2021

Journals

  • 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

International Conferences

  • 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

2020

International Conferences

  • 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

2019

Journals

  • 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)

International Conferneces

  • 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.

2018

International Conferences

  • 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.

2017

Journals

  • Masataka Araki, Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda, “Interdisciplinary Collaborator Recommendation Based on Research Content Similarity,” IEICE Transactions on Information and Systems, vol.E100-D, No.4, pp. 785–792, Apr. 2017. (copyright© 2017 IEICE) PDF

International Conferences

  • 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).

2016

Journals

  • Marie Katsurai, Ikki Ohmukai, and Hideaki Takeda, “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, Apr, 2016. (copyright© 2016 IEICE) PDF

International Conferences

  • 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