Discovery of User Preferences from Big Geospatial Data Using Topic Models. - Michiharu Yamashita; Shota Katsumata; Yusuke Fukasawa (IEEE BigData, 2018)

Toward a Novel Methodology in Economic Experiments: Simulation of the Ultimatum Game with Large Language Models. - Ayato Kitadai; Yudai Tsurusaki; Yusuke Fukasawa; Nariaki Nishino (IEEE Big Data, 2023)

Evaluating the alleviation of traffic congestion through Bus Rapid Transit using Multi-Agent Simulation. - Zeyu Zhou; Mizuki Kobayashi; Uta Sato; Kazuma Akashi; Ayato Kitadai; Soma Sugihara; Yusuke Fukasawa; Masanori Fujuta; Nariaki Nishino (IEEE Big Data, 2023)

Appropriate Graph-Algorithm Selection for Edge Devices Using Machine Learning. - Yusuke Fukasawa; Kazuhiko Komatsu; Masayuki Sato 001; Hiroaki Kobayashi (MCSoC, 2023)

A Graph-based Molecular Structure Identification Method via Feature Extraction for Three-dimensional Electron Diffraction Data. - Yusuke Fukasawa; Kazuhiko Komatsu; Masayuki Sato 001; Saori Maki-Yonekura; Hirofumi Kurokawa; Koji Yonekura; Hiroaki Kobayashi (CANDARW, 2024)

COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark. - Koki Maeda; Tosho Hirasawa; Atsushi Hashimoto 001; Jun Harashima; Leszek Rybicki; Yusuke Fukasawa; Yoshitaka Ushiku (ECCV (65), 2024)

Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments? - Ayato Kitadai; Sinndy Dayana Rico Lugo; Yudai Tsurusaki; Yusuke Fukasawa; Nariaki Nishino (CoRR, 2024)