Channel Planting for Deep Neural Networks using Knowledge Distillation. - Kakeru Mitsuno; Yuichiro Nomura; Takio Kurita (ICPR, 2020)

Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients. - Michiaki Ueda; Yuichiro Nomura; Jun'ichi Miyao; Takio Kurita; Hiroshi Yamada (SMC, 2020)

Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation. - Yuichiro Nomura; Takio Kurita (IW-FCV, 2021)

Consistency Regularization on Clean Samples for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (IEICE Trans. Inf. Syst., 2022)

Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (IEICE Trans. Inf. Syst., 2022)

Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels. - Yuichiro Nomura; Takio Kurita (Int. J. Artif. Intell. Tools, 2023)

Nonlinear dimensionality reduction with q-Gaussian distribution. - Motoshi Abe; Yuichiro Nomura; Takio Kurita (Pattern Anal. Appl., 2024)

D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection. - Kentaro Hirahara; Chikahito Nakane; Hajime Ebisawa; Tsuyoshi Kuroda; Yohei Iwaki; Tomoyoshi Utsumi; Yuichiro Nomura; Makoto Koike; Hiroshi Mineno (Comput. Electron. Agric., 2025)