Pseudo-labeling domain adaptation using multi-model learning (2025)
Fonte: IEEE Access. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
ABNT
TOMITA, Victor Akihito Kamada e MARCACINI, Ricardo Marcondes. Pseudo-labeling domain adaptation using multi-model learning. IEEE Access, v. 13, p. 41486-41504, 2025Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2025.3547813. Acesso em: 08 out. 2025.APA
Tomita, V. A. K., & Marcacini, R. M. (2025). Pseudo-labeling domain adaptation using multi-model learning. IEEE Access, 13, 41486-41504. doi:10.1109/ACCESS.2025.3547813NLM
Tomita VAK, Marcacini RM. Pseudo-labeling domain adaptation using multi-model learning [Internet]. IEEE Access. 2025 ; 13 41486-41504.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2025.3547813Vancouver
Tomita VAK, Marcacini RM. Pseudo-labeling domain adaptation using multi-model learning [Internet]. IEEE Access. 2025 ; 13 41486-41504.[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ACCESS.2025.3547813