Hiroyoshi Ito

According to our database, Hiroyoshi Ito authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Human-in-the-loop latent space learning for biblio-record-based literature management.

Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima

Int. J. Digit. Libr., March, 2024

Phrase-Level Topic Modeling Based on Joint Embedding Space of Words, Phrases and Documents.

Zikai Zhou, Kei Wakabayashi, Hiroyoshi Ito

J. Inf. Process., 2024

NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features.

Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima

Proceedings of the ACM on Web Conference 2024, 2024

Influence of AI's Uncertainty in the Dawid-Skene Aggregation for Human-AI Crowdsourcing.

Takumi Tamura, Hiroyoshi Ito, Satoshi Oyama, Atsuyuki Morishima

Proceedings of the Wisdom, Well-Being, Win-Win, 2024

2023

Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification.

Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Effects of Increasing Working Opportunity on Result Quality in Labor-Intensive Crowdsourcing.

Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima

Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

2022

HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers.

Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks.

Hiroyoshi Ito, Christos Faloutsos

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Bibrecord-Based Literature Management with Interactive Latent Space Learning.

Shingo Watanabe, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima

Proceedings of the From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, 2022

Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms.

Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima

Proceedings of the IEEE International Conference on Big Data, 2022

Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment.

Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima

Proceedings of the IEEE International Conference on Big Data, 2022

2021

BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework.

Naofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

A Skill-based Worksharing Approach for Microtask Assignment.

Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Computational Division of Labor with Human and AI Workers.

Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito

IEEE Data Eng. Bull., 2020

A System for Worldwide COVID-19 Information Aggregation.

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

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

Detecting Communities and Correlated Attribute Clusters on Multi-Attributed Graphs.

Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa

IEICE Trans. Inf. Syst., 2019

An Optimization Scheme for Non-Negative Matrix Factorization Under Probability Constraints.

Hiroyoshi Ito, Toshiyuki Amagasa

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

Class Name Recommendation Based on Graph Embedding of Program Elements.

Shintaro Kurimoto, Yasuhiro Hayase, Hiroshi Yonai, Hiroyoshi Ito, Hiroyuki Kitagawa

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

Network-Word Embedding for Dynamic Text Attributed Networks.

Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa

Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Community Detection and Correlated Attribute Cluster Analysis on Multi-Attributed Graphs.

Hiroyoshi Ito, Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa

Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

2016

Detecting Topic Evolutions in Bibliographic Databases Exploiting Citations.

Hiroyoshi Ito, Toshiyuki Amagasa, Hiroyuki Kitagawa

Proceedings of the Information Modelling and Knowledge Bases XXVIII, 2016