Toward a Faithful Bidding of Web Advertisement. - Takumi Uchida; Koken Ozaki; Kenichi Yoshida (HCI (18), 2014)

Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation. - Kei Nakagawa; Takumi Uchida; Tomohisa Aoshima (MIDAS/PAP@PKDD/ECML, 2018)

Routing and Capacity Optimization Based on Estimated Latent OD Traffic Demand. - Takumi Uchida; Keisuke Ishibashi; Kensuke Fukuda (IEICE Trans. Commun., 2021)

Concept Drift in Japanese COVID-19 Infection Data. - Takumi Uchida; Kenichi Yoshida (KES, 2022)

Estimating Traffic Latent Due to QoS Deterioration: A Time-Series Causal Inference Approach. - Keisuke Ishibashi; Takumi Uchida (ITC, 2023)

Analysis of 50 Years of Health Food Research Trends Using Natural Language Processing and Generative AI. - Yoshiyuki Kobayashi; Takumi Uchida; Takahiro Inoue; Yusuke Iwasaki; Rie Ito; Koichi Saito; Hiroshi Akiyama; Kazuhiko Tsuda; Kenichi Yoshida (KES, 2024)

Estimating Latent Traffic Demand From QoS Degradation Using a Time Series Causal Inference Approach. - Keisuke Ishibashi; Takumi Uchida (IEEE Access, 2024)