鈴木 優

論文

• Finding Adequate Additional Layer of Auxiliary Task in BERT-Based Multi-task Learning.

  Takuto Kitamura, Yu Suzuki

  iiWAS 67-83 2024年
• Foreword.

  Yu Suzuki 0002

  IEICE Transactions on Information & Systems 107(5) 613-614 2024年
• A Method to Improve Crowdsourcing Outcome and to Reduce Calculation Costs Using Machine-Learning.

  Nana Ota, Yu Suzuki

  NBiS 308-318 2024年
• Automatic Stopword Generation Based on Attention for Document Classification Using Neural Networks.

  Yuki Kuwabara, Yu Suzuki

  Journal of Information Processing 32 487-495 2024年
• Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster.

  Kosuke Wakasugi, Yu Suzuki 0002, Akiyo Nadamoto

  WWW (Companion Volume) 1649-1656 2024年
• Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster.

  Kosuke Wakasugi, Futo Yamamoto, Yu Suzuki 0002, Akiyo Nadamoto

  Big Data Analytics and Knowledge Discovery - 25th International Conference(DaWaK) 224-232 2023年
• Attention Based Stopword Generation for Neural Network Based Text Processing.

  Yuki Kuwabara, Yu Suzuki

  Information Integration and Web Intelligence - 25th International Conference(iiWAS) 526-540 2023年
• A Label Aggregation Method Using Worker Quality in Crowdsourcing.

  Nana Ota, Yu Suzuki

  Information Integration and Web Intelligence - 25th International Conference(iiWAS) 49-55 2023年
• Methods of Calculating Usefulness Ratings of Behavioral Facilitation Tweets in Disaster Situations.

  Futo Yamamoto, Tadahiko Kumamoto, Yu Suzuki 0002, Akiyo Nadamoto

  The 11th International Symposium on Information and Communication Technology(SoICT) 88-95 2022年
• Wikipedia校閲時の事実確認作業における誤り箇所の自動推定

  古田朋也, 鈴木優

  電子情報通信学会論文誌 D(Web) J105-D(5) 2022年
• Measuring Quality of Workers by Goodness-of-Fit of Machine Learning Model in Crowdsourcing

  Yu Suzuki

  25th International Database Engineering & Applications Symposium 166-172 2021年7月14日 査読有り筆頭著者責任著者
• Extraction and Analysis of Regionally Specific Behavioral Facilitation Information in the Event of a Large-scale Disaster.

  Futo Yamamoto, Yu Suzuki 0002, Akiyo Nadamoto

  WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence(WI/IAT) 538-543 2021年
• Analysis of Behavioral Facilitation Tweets for Large-Scale Natural Disasters Dataset Using Machine Learning

  Yu Suzuki, Yoshiki Yoneda, Akiyo Nadamoto

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12924 161-169 2021年
• 自然言語の指示による画像操作システム

  品川政太朗, 品川政太朗, 吉野幸一郎, 吉野幸一郎, SAKTI Sakriani, SAKTI Sakriani, 鈴木優, 中村哲, 中村哲

  電子情報通信学会論文誌 D(Web) J102-D(8) 2019年
• Image Manipulation System with Natural Language Instruction.

  Seitaro Shinagawa, Koichiro Yoshino, Sakti Sakriani, Yu Suzuki, Satoshi Nakamura

  IEICE Transactions on Information and Systems, Vol.J102-D 8 514-529 2019年 査読有り筆頭著者
• Detection of Behavioral Facilitation information in Disaster Situation.

  Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto

  Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services 255-259 2019年 査読有り筆頭著者
• Behavioral Facilitation Tweets with Basis Extraction.

  Yoshiki Yoneda, Yu Suzuki, Akiyo Nadamoto

  2019 International Conference on Data Mining Workshops (ICDMW) 441-447 2019年 査読有り筆頭著者
• A Behavioral Facilitation Tweet Detection Method.

  Keiichi Mizuka, Yu Suzuki, Akiyo Nadamoto

  2019 IEEE International Conference on Big Data and Smart Computing (BigComp) 1-4 2019年 査読有り筆頭著者
• Filtering Method for Twitter Streaming Data Using Human-in-the-Loop Machine Learning.

  Yu Suzuki

  J. Inf. Process. 27 404-410 2019年 査読有り筆頭著者
• Additional Operations of Simple HITs on Microtask Crowdsourcing for Worker Quality Prediction.

  Yu Suzuki, Yoshitaka Matsuda, Satoshi Nakamura

  J. Inf. Process. 27 51-60 2019年 査読有り筆頭著者