ASSOLIN, J.; CANTO, G.; KREUTZ, D.; BRAGANÇA, H.; FEITOSA , E.; NOGUEIRA, A.; ROCHA, V. Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance. Journal of the Brazilian Computer Society, [S. l.], v. 32, n. 1, p. 2152–2182, 2026. DOI: 10.5753/jbcs.2026.6185. Disponível em: https://journals-sol.sbc.org.br/index.php/jbcs/article/view/6185. Acesso em: 11 sep. 2026.