Takumi Uchida

11 papers A 1B 5Journal 3Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
A Method for Extracting Dissatisfaction Entities and Visualizing Dissatisfaction Information Using a Large Language Model.
KES
Kakeru Ota, Takumi Uchida, Yoshiyuki Kobayashi, Kazuhiko Tsuda
2025 J jnl
A Method for Extracting Dissatisfaction Entities in the Pharmaceutical Sector Using Large Language Model.
EAI Endorsed Trans. Scalable Inf. Syst.
Kakeru Ota, Takumi Uchida, Maya Iwano, Kazuhiko Tsuda
2025 B conf
Multi-indicator comparative analysis of health food regulations in various countries using a large-scale language model (LLM).
KES
Yoshiyuki Kobayashi, Maya Iwano, Takumi Uchida, Itsuki Kageyama, Kota Kodama, Kazuhiko Tsuda
2024 B conf
Analysis of 50 Years of Health Food Research Trends Using Natural Language Processing and Generative AI.
KES
Yoshiyuki Kobayashi, Takumi Uchida, Takahiro Inoue, Yusuke Iwasaki, Rie Ito, Koichi Saito, Hiroshi Akiyama, Kazuhiko Tsuda, Kenichi Yoshida
2024 J jnl
Estimating Latent Traffic Demand From QoS Degradation Using a Time Series Causal Inference Approach.
IEEE Access
Keisuke Ishibashi, Takumi Uchida
2023 A conf
Estimating Traffic Latent Due to QoS Deterioration: A Time-Series Causal Inference Approach.
ITC
Keisuke Ishibashi, Takumi Uchida
2022 B conf
Concept Drift in Japanese COVID-19 Infection Data.
KES
Takumi Uchida, Kenichi Yoshida
2021 J jnl
Routing and Capacity Optimization Based on Estimated Latent OD Traffic Demand.
IEICE Trans. Commun.
Takumi Uchida, Keisuke Ishibashi, Kensuke Fukuda
2020 B conf
Routing and Capacity Optimization Based on Estimated Latent OD Traffic Demand.
COMPSAC
Takumi Uchida, Keisuke Ishibashi, Kensuke Fukuda
2018 — conf
Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation.
MIDAS/PAP@PKDD/ECML
Kei Nakagawa, Takumi Uchida, Tomohisa Aoshima
2014 — conf
Toward a Faithful Bidding of Web Advertisement.
HCI (18)
Takumi Uchida, Koken Ozaki, Kenichi Yoshida