Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, DEPRESSÃO, MÍDIAS SOCIAIS
ABNT
UTINO, Matheus Yasuo Ribeiro et al. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15990-8_27. Acesso em: 16 fev. 2026. , 2026APA
Utino, M. Y. R., Matsushima, E. H., Paes, A., & Mann, P. (2026). Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15990-8_27NLM
Utino MYR, Matsushima EH, Paes A, Mann P. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 393-408.[citado 2026 fev. 16 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_27Vancouver
Utino MYR, Matsushima EH, Paes A, Mann P. Synthetic data for mental health: a comparative analysis of LLMs, BERT, and copy-based augmentation [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16181 393-408.[citado 2026 fev. 16 ] Available from: https://doi.org/10.1007/978-3-032-15990-8_27
