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Yu Suzuki 0001

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affiliation: Gifu University, Japan
affiliation: Nagoya University, Information Technology Center, Japan
affiliation: Ritsumeikan University, College of Information Science and Technology, Japan
affiliation: Nara Institute of Science and Technology, Nara, Japan

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2020 – today

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2025
[c37]
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Takuto Kitamura, Yu Suzuki:
Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs. DaWaK 2025: 286-301
2024
[j8]
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Yu Suzuki:
Foreword. IEICE Trans. Inf. Syst. 107(5): 613-614 (2024)
[c36]
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Takuto Kitamura, Yu Suzuki:
Finding Adequate Additional Layer of Auxiliary Task in BERT-Based Multi-task Learning. iiWAS (1) 2024: 67-83
[c35]
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Kosuke Wakasugi, Yu Suzuki, Akiyo Nadamoto:
Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster. WWW (Companion Volume) 2024: 1649-1656
2023
[c34]
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Kosuke Wakasugi, Futo Yamamoto, Yu Suzuki, Akiyo Nadamoto:
Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster. DaWaK 2023: 224-232
2022
[c33]
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Futo Yamamoto, Tadahiko Kumamoto, Yu Suzuki, Akiyo Nadamoto:
Methods of Calculating Usefulness Ratings of Behavioral Facilitation Tweets in Disaster Situations. SoICT 2022: 88-95
2021
[c32]
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Yu Suzuki, Yoshiki Yoneda, Akiyo Nadamoto:
Analysis of Behavioral Facilitation Tweets for Large-Scale Natural Disasters Dataset Using Machine Learning. DEXA (2) 2021: 161-169
[c31]
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Futo Yamamoto, Yu Suzuki, Akiyo Nadamoto:
Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in the Event of a Large-scale Disaster. WI/IAT 2021: 538-543

2010 – 2019

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2019
[j7]
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Yu Suzuki, Yoshitaka Matsuda, Satoshi Nakamura:
Additional Operations of Simple HITs on Microtask Crowdsourcing for Worker Quality Prediction. J. Inf. Process. 27: 51-60 (2019)
[j6]
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Yu Suzuki:
Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning. J. Inf. Process. 27: 404-410 (2019)
[c30]
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Keiichi Mizuka, Yu Suzuki, Akiyo Nadamoto:
A Behavioral Facilitation Tweet Detection Method. BigComp 2019: 1-4
[c29]
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Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto:
Behavioral Facilitation Tweets with Basis Extraction. ICDM Workshops 2019: 441-447
[c28]
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Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto:
Detection of Behavioral Facilitation information in Disaster Situation. iiWAS 2019: 255-259
2018
[j5]
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Ikuo Keshi, Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura:
Semantically Readable Distributed Representation Learning and Its Expandability Using a Word Semantic Vector Dictionary. IEICE Trans. Inf. Syst. 101-D(4): 1066-1078 (2018)
[j4]
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Yu Suzuki, Hiromitsu Ohara, Akiyo Nadamoto:
What is your tweet worldview? Mapping the topic structure of tweets on the Wikipedia. Int. J. Pervasive Comput. Commun. 14(1): 2-14 (2018)
[c27]
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Hiroaki Tanaka, Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura:
TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables. DaWaK 2018: 216-228
[c26]
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Yu Suzuki, Satoshi Nakamura:
Information Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning. DEXA (2) 2018: 167-175
[c25]
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Keiichi Mizuka, Yu Suzuki, Akiyo Nadamoto:
Extracting Japanese Behavioral Facilitation Tweet in Disaster Situations. iiWAS 2018: 302-305
[c24]
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Seiya Kawano, Koichiro Yoshino, Yu Suzuki, Satoshi Nakamura:
Dialogue Act Classification in Reference Interview Using Convolutional Neural Network with Byte Pair Encoding. IWSDS 2018: 17-25
[c23]
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Koichiro Yoshino, Yoko Ishikawa, Masahiro Mizukami, Yu Suzuki, Sakriani Sakti, Satoshi Nakamura:
Dialogue Scenario Collection of Persuasive Dialogue with Emotional Expressions via Crowdsourcing. LREC 2018
[i1]
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Seitaro Shinagawa, Koichiro Yoshino, Sakriani Sakti, Yu Suzuki, Satoshi Nakamura:
Interactive Image Manipulation with Natural Language Instruction Commands. CoRR abs/1802.08645 (2018)
2017
[c22]
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Yoshitaka Matsuda, Yu Suzuki, Satoshi Nakamura:
A trade-off between estimation accuracy of worker quality and task complexity. IEEE BigData 2017: 4410-4416
[c21]
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Yu Suzuki, Hiromitsu Ohara, Akiyo Nadamoto:
Finding missing tweets using topic structure and browsing time. iiWAS 2017: 102-110
[c20]
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Keiichi Mizuka, Yu Suzuki, Akiyo Nadamoto:
Extraction of commentary tweets about news articles. iiWAS 2017: 188-192
[c19]
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Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura:
A k-anonymized Text Generation Method. NBiS 2017: 1018-1026
[c18]
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Koichiro Yoshino, Yu Suzuki, Satoshi Nakamura:
Information Navigation System with Discovering User Interests. SIGDIAL Conference 2017: 356-359
[c17]
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Ikuo Keshi, Yu Suzuki, Koichiro Yoshino, Satoshi Nakamura:
Semantically readable distributed representation learning for social media mining. WI 2017: 716-722
2016
[c16]
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Wakana Maeda, Yu Suzuki, Satoshi Nakamura:
Fast text anonymization using k-anonyminity. iiWAS 2016: 340-344
[c15]
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Yu Suzuki, Satoshi Nakamura:
Assessing the Quality of Wikipedia Editors through Crowdsourcing. WWW (Companion Volume) 2016: 1001-1006
2015
[j3]
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Yu Suzuki:
Quality Assessment of Wikipedia Articles Using h-index. J. Inf. Process. 23(1): 22-30 (2015)
[c14]
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Hiromitu Ohara, Yu Suzuki, Akiyo Nadamoto:
Detection of missing tweets based on browsing interval and topic granularity. iiWAS 2015: 26:1-26:9
2013
[j2]
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Akiyo Nadamoto, Yuya Fujiwara, Yu Suzuki, Yukio Konishi:
Extracting complementary information from Wikipedia articles of different languages. Int. J. Bus. Intell. Data Min. 8(1): 45-60 (2013)
[j1]
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Yu Suzuki:
Effects of Implicit Positive Ratings for Quality Assessment of Wikipedia Articles. Inf. Media Technol. 8(2): 373-379 (2013)
[c13]
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  - conf/apweb/FujiwaraSKN13
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Yuya Fujiwara, Yu Suzuki, Yukio Konishi, Akiyo Nadamoto:
Complementary Information for Wikipedia by Comparing Multilingual Articles. APWeb 2013: 260-267
[c12]
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Yu Suzuki, Masatoshi Yoshikawa:
Assessing quality score of Wikipedia article using mutual evaluation of editors and texts. CIKM 2013: 1727-1732
[c11]
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Akira Nakamura, Yu Suzuki, Yoshiharu Ishikawa:
Clustering Editors of Wikipedia by Editor's Biases. Web Intelligence 2013: 351-358
2012
[c10]
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Yuya Fujiwara, Yu Suzuki, Yukio Konishi, Akiyo Nadamoto:
Extracting Difference Information from Multilingual Wikipedia. APWeb 2012: 496-503
[c9]
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Yu Suzuki, Masatoshi Yoshikawa:
QualityRank: assessing quality of wikipedia articles by mutually evaluating editors and texts. HT 2012: 307-308
[c8]
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Yuya Fujiwara, Yukio Konishi, Yu Suzuki, Akiyo Nadamoto:
Extracting lack of information on Wikipedia by comparing multilingual articles. iiWAS 2012: 395-398
[c7]
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Yu Suzuki:
Assessing Quality Values of Wikipedia Articles Using Implicit Positive and Negative Ratings. WAIM 2012: 127-138
[c6]
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Takuya Yokoyama, Yoshiharu Ishikawa, Yu Suzuki:
Processing All k-Nearest Neighbor Queries in Hadoop. WAIM 2012: 346-351
[c5]
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Yu Suzuki, Masatoshi Yoshikawa:
Mutual evaluation of editors and texts for assessing quality of Wikipedia articles. WikiSym 2012: 18

2000 – 2009

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2005
[c4]
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Yu Suzuki, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura, Kyoji Kawagoe:
A Relevant Score Normalization Method Using Shannon's Information Measure. ICADL 2005: 311-316
[c3]
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Kei Fujimoto, Toshiyuki Shimizu, Norimasa Terada, Kenji Hatano, Yu Suzuki, Toshiyuki Amagasa, Hiroko Kinutani, Masatoshi Yoshikawa:
Implementation of a High-Speed and High-Precision XML Information Retrieval System on Relational Databases. INEX 2005: 254-267
2002
[c2]
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Yu Suzuki, Masaki Takano, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura:
Extraction and Integration of XML Document Features on Wireless Environment. Wireless Information Systems 2002: 82-93
2001
[c1]
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Yu Suzuki, Kenji Hatano, Masatoshi Yoshikawa, Shunsuke Uemura:
A Unified Retrieval Method of Multimedia Documents. DASFAA 2001: 166-167

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