Extracting Difference Information from Multilingual Wikipedia. - Yuya Fujiwara; Yu Suzuki 002; Yukio Konishi; Akiyo Nadamoto (APWeb, 2012)

Complementary Information for Wikipedia by Comparing Multilingual Articles. - Yuya Fujiwara; Yu Suzuki 002; Yukio Konishi; Akiyo Nadamoto (APWeb, 2013)

Extracting complementary information from Wikipedia articles of different languages. - Akiyo Nadamoto; Yuya Fujiwara; Yu Suzuki 002; Yukio Konishi (Int. J. Bus. Intell. Data Min., 2013)

Detection of missing tweets based on browsing interval and topic granularity. - Hiromitu Ohara; Yu Suzuki 002; Akiyo Nadamoto (iiWAS, 2015)

Extraction of commentary tweets about news articles. - Keiichi Mizuka; Yu Suzuki 002; Akiyo Nadamoto (iiWAS, 2017)

Finding missing tweets using topic structure and browsing time. - Yu Suzuki 002; Hiromitsu Ohara; Akiyo Nadamoto (iiWAS, 2017)

Extracting Japanese Behavioral Facilitation Tweet in Disaster Situations. - Keiichi Mizuka; Yu Suzuki 002; Akiyo Nadamoto (iiWAS, 2018)

What is your tweet worldview? Mapping the topic structure of tweets on the Wikipedia. - Yu Suzuki 002; Hiromitsu Ohara; Akiyo Nadamoto (Int. J. Pervasive Comput. Commun., 2018)

A Behavioral Facilitation Tweet Detection Method. - Keiichi Mizuka; Yu Suzuki 002; Akiyo Nadamoto (BigComp, 2019)

Behavioral Facilitation Tweets with Basis Extraction. - Yoshiki Yoneda; Yu Suzuki 002; Akiyo Nadamoto (ICDM Workshops, 2019)

Detection of Behavioral Facilitation information in Disaster Situation. - Yoshiki Yoneda; Yu Suzuki 002; Akiyo Nadamoto (iiWAS, 2019)

Analysis of Behavioral Facilitation Tweets for Large-Scale Natural Disasters Dataset Using Machine Learning. - Yu Suzuki 002; Yoshiki Yoneda; Akiyo Nadamoto (DEXA (2), 2021)

Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in the Event of a Large-scale Disaster. - Futo Yamamoto; Yu Suzuki 002; Akiyo Nadamoto (WI/IAT, 2021)

Methods of Calculating Usefulness Ratings of Behavioral Facilitation Tweets in Disaster Situations. - Futo Yamamoto; Tadahiko Kumamoto; Yu Suzuki 002; Akiyo Nadamoto (SoICT, 2022)

Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster. - Kosuke Wakasugi; Futo Yamamoto; Yu Suzuki 002; Akiyo Nadamoto (DaWaK, 2023)

Finding Adequate Additional Layer of Auxiliary Task in BERT-Based Multi-task Learning. - Takuto Kitamura; Yu Suzuki 002 (iiWAS (1), 2024)

Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster. - Kosuke Wakasugi; Yu Suzuki 002; Akiyo Nadamoto (WWW (Companion Volume), 2024)

Foreword. - Yu Suzuki 002 (IEICE Trans. Inf. Syst., 2024)

Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs. - Takuto Kitamura; Yu Suzuki 002 (DaWaK, 2025)