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2020 – today
- 2024
[j4]Zikai Zhou, Kei Wakabayashi, Hiroyoshi Ito:
Phrase-Level Topic Modeling Based on Joint Embedding Space of Words, Phrases and Documents. J. Inf. Process. 32: 256-264 (2024)- [j3]Shingo Watanabe
, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Human-in-the-loop latent space learning for biblio-record-based literature management. Int. J. Digit. Libr. 25(1): 123-136 (2024) - [c17]Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima:
Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing. iConference (3) 2024: 232-247 - [c16]Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima:
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features. WWW 2024: 2542-2551 - 2023
- [c15]Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing. iConference (1) 2023: 277-293 - [c14]Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima:
Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification. IIAI-AAI 2023: 263-270 - 2022
- [c13]Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima:
Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment. IEEE Big Data 2022: 3995-4001 - [c12]Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms. IEEE Big Data 2022: 4040-4048 - [c11]Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Bibrecord-Based Literature Management with Interactive Latent Space Learning. ICADL 2022: 155-171 - [c10]Hiroyoshi Ito, Christos Faloutsos:
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. SDM 2022: 46-54 - [c9]Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima:
HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. WebSci 2022: 118-128 - 2021
- [c8]Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
A Skill-based Worksharing Approach for Microtask Assignment. IEEE BigData 2021: 3544-3547 - [c7]Naofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima:
BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework. IEEE BigData 2021: 3557-3565 - 2020
- [j2]Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito:
Computational Division of Labor with Human and AI Workers. IEEE Data Eng. Bull. 43(3): 12-25 (2020) - [c6]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [i1]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020)
2010 – 2019
- 2019
- [j1]Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs. IEICE Trans. Inf. Syst. 102-D(4): 810-820 (2019) - [c5]Shintaro Kurimoto, Yasuhiro Hayase, Hiroshi Yonai, Hiroyoshi Ito, Hiroyuki Kitagawa:
Class Name Recommendation Based on Graph Embedding of Program Elements. APSEC 2019: 498-505 - [c4]Hiroyoshi Ito, Toshiyuki Amagasa:
An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints. BigComp 2019: 1-8 - 2018
- [c3]Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs. EDBT/ICDT Workshops 2018: 2-9 - [c2]Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Network-Word Embedding for Dynamic Text Attributed Networks. ICSC 2018: 334-339 - 2016
- [c1]Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa:
Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations. EJC 2016: 465-480
Coauthor Index
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