Development of an Access Method to Menu Ontology Data through Converting Natural Language into SPARQL Queries. - Yuri Murayama; Ichiro Kobayashi; Takeshi Morita 001; Yukiko I. Nakano; Takahira Yamaguchi (JIST (Workshops & Posters), 2018)

Towards Question Answering with Multi-hop Reasoning over Knowledge using a Neural Network Model with External Memories. - Yuri Murayama; Ichiro Kobayashi (SCIS/ISIS, 2022)

Impact Analysis of Social Events on Industries through Narrative Causal Search. - Ryotaro Kobayashi; Yuri Murayama; Kiyoshi Izumi (IEEE Big Data, 2023)

Toward Question-Answering with Multi-Hop Reasoning and Calculation over Knowledge Using a Neural Network Model with External Memories. - Yuri Murayama; Ichiro Kobayashi (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. - Rei Taguchi; Hiroki Sakaji; Kiyoshi Izumi; Yuri Murayama (New Gener. Comput., 2023)

Firm Default Prediction by GNN with Gravity-Model Informed Neighbor Node Sampling. - Naoto Minakawa; Kiyoshi Izumi; Yuri Murayama; Hiroki Sakaji (Rev. Socionetwork Strateg., 2024)

Emulating fundamental analysts: Analytical stage-based multi-agent framework enhanced with expert guidance and Preference-Anchored Likelihood Adjustment. - Tao Xu; Zhe Piao; Tadashi Mukai; Yuri Murayama; Kiyoshi Izumi (Intell. Syst. Appl., 2025)

Can large language models autonomously generate unique and profound insights in fundamental analysis? - Tao Xu; Zhe Piao; Tadashi Mukai; Yuri Murayama; Kiyoshi Izumi (Intell. Syst. Appl., 2025)

Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach. - Miyuki Matsumoto; Ryuji Hashimoto; Masahiro Suzuki 004; Yuri Murayama; Kiyoshi Izumi (J. Comput. Soc. Sci., 2025)