76 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP8 papers
- National Institute of Advanced Industrial Science and TechnologyJP6 papers
- Tokyo Institute of TechnologyJP4 papers
- Chiba Institute of TechnologyJP2 papers
- Institute of Space and Astronautical ScienceJP2 papers
- Planetary Science InstituteUS2 papers
- Aichi Toho UniversityJP1 paper
- Artificial Intelligence Research CenterJP1 paper
- Astronomical Society of AustraliaAU1 paper
- Brown UniversityUS1 paper
- California University of PennsylvaniaUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
5 papers · 1 filter
Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025)
Edited by Tessai Hayama, Takayuki Ito, Takahiro Uchiya +10
This volume presents the proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025), held in Nagaoka, Japan, on December…
A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
Yu Tokutake, Kazushi Okamoto, Kei Harada +2
Serendipity in recommender systems (RSs) has attracted increasing attention as a concept that enhances user satisfaction by presenting unexpected and useful items. However, evaluat…
Preference-Optimal Multi-Metric Weighting for Parallel Coordinate Plots
Chisa Mori, Shuhei Watanabe, Masaki Onishi +1
Parallel coordinate plots (PCPs) are a prevalent method to interpret the relationship between the control parameters and metrics. PCPs deliver such an interpretation by color grada…
D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations
Yuhao Zhang, Keisuke Okumura, Heedo Woo +2
This work presents an optimization method for generating kinodynamically feasible and collision-free multi-robot trajectories that exploits an incremental denoising scheme in diffu…
Indexing current-voltage characteristics using a hash function
T. Tanamoto, S. Furukawa, R. Kitahara +3
Differentiating between devices of the same size is essential for ensuring their reliability. However, identifying subtle differences can be challenging, particularly when the devi…