H. Nakada and M. Kubota, What Shape Is Optimal for Masks in Text Removal?, arXiv:2511.22499, 2025.
Y. Seki, H. Nakada, and S. Tanaka, Initialization Method for Factorization Machine Based on Low-Rank Approximation for Constructing a Corrected Approximate Ising Model, arXiv:2410.12747, 2024.
H. Nakada and S. Tanaka, Factorization Machine from a Random Matrix Theory Perspective, Journal of the Physical Society of Japan, vol. 95, no. 6, pp. 064003, 2026.
H. Nakada, K. Tanahashi, and S. Tanaka, Quick design of feasible tensor networks for constrained combinatorial optimization, Quantum, vol. 9, pp. 1799, 2025.
H. Nakada and S. Tanaka, Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense Interactions, Journal of the Physical Society of Japan, vol. 94, no. 9, pp. 094801, 2025.
H. Nakada, K. Tanahashi, and S. Tanaka, Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization, IEEE Access, vol. 13, pp. 73096-73108, 2025.
木村 友則, 川中 啓嗣, 中田 百科, 保田 雄亮, 朴 勝煥, 機械学習による付加製造条件の適正化, 溶接学会誌, 92 巻 6 号 p. 403-408, 2023年7月.
T. Dobashi, H. Nakada, Y. Okuyama, and T. Ohmori, Feature Parameter Design Using Cross-sectional SEM for Machine Learning-based Optimization in Plasma Etching, Microscopy and Microanalysis, vol. 26, issue S2, Aug. 2020.
H. Nakada and Y. Tanaka, Robustness of Structured Data Extraction from Perspectively Distorted Documents using Multi-Modal Large Language Models, The 10th International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS), Okinawa, Japan, Dec. 2025.
H. Nakada, T. Dobashi, Y. Okuyama, and T. Ohmori, Learning Data Collection for Profile Prediction in Si Etching with Self-Aligned Quadruple Patterning, The 41st International Symposium on Dry Process (DPS), Hiroshima, Japan, Nov. 2019.
T. Ohmori, H. Nakada, M. Ishikawa, and M. Kurihara, Prediction and Optimization of Etching Profile Using Machine Learning, The 39th International Symposium on Dry Process (DPS), Tokyo, Japan, Nov. 2017.
