Tackling low-resource ECG classification with self-supervised learning (2025)
Silva, Rafael da Costa 
; Silva, Diego Furtado
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, DIAGNÓSTICO POR COMPUTADOR, ELETROCARDIOGRAFIA, DOENÇAS CARDIOVASCULARES
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ABNT
SILVA, Rafael da Costa e SILVA, Diego Furtado. Tackling low-resource ECG classification with self-supervised learning. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_17. Acesso em: 05 nov. 2025. , 2025APA
Silva, R. da C., & Silva, D. F. (2025). Tackling low-resource ECG classification with self-supervised learning. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_17NLM
Silva R da C, Silva DF. Tackling low-resource ECG classification with self-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 238-252.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17Vancouver
Silva R da C, Silva DF. Tackling low-resource ECG classification with self-supervised learning [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 238-252.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_17
