AI
Research on Real-world AI that deeply understands people (their psychology and activities), things and society in the physical space, and provides them trustable interventions through effective feedback for the purpose of solving various social issues.
- Real-world AI
- AI for Behavior Change
- Trustworthy AI
News Release&Topics
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Publications
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario
Yuma Dose(Osaka University), Shuichiro Haruta, Takahiro Hara(Osaka University)
The 22nd International Conference on Machine Learning and Applications (ICMLA 2023)
December 2023
Minh-Son Dao(NII), Huy Quang Ung, Sadanori Ito(NII), Shinya Wada, Koji Zettsu(NII)
2023 IEEE International Conference on Big Data (IEEE BigData 2023)
December 2023
Qobra: Fast Verification of Transactional Serializability with Quantum Annealing
Natsuki Hamada(Keio University), Kazuhiro Saito, Hideyuki Kawashima(Keio University)
2023 IEEE International Conference on Big Data (IEEE BigData 2023)
December 2023
Naoto Takeda, Akihiro Kobayashi(KDDI), Yudai Yamazaki, Daisuke Kamisaka
2023 IEEE International Conference on Big Data (IEEE BigData 2023)
December 2023
Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple Regions
Rikuto Tsubouchi(Osaka University), Takahiro Hara(Osaka University), Kei Yonekawa, Shuichiro Haruta
2023 IEEE International Conference on Big Data (IEEE BigData 2023)
December 2023
Awards
2021.11.10
18th EAI International Conference on Mobile and Ubiquitous Systems: COmputing, Networking and Servicies (Mobiquitous 2021)「Best Paper Award」
Event Detection and Event-Relevant Tweet Extraction with Human Mobility
Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa