Deep forests with tree-embeddings and label imputation for weak-label learning (2024)
- Authors:
- USP affiliated authors: CERRI, RICARDO - ICMC ; SILVA, PEDRO DE CARVALHO BRAGA ILIDIO - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1109/IJCNN60899.2024.10650456
- Subjects: APRENDIZADO COMPUTACIONAL; FÍSICA COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ILÍDIO, Pedro et al. Deep forests with tree-embeddings and label imputation for weak-label learning. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650456. Acesso em: 01 jan. 2026. -
APA
Ilídio, P., Cerri, R., Vens, C., & Nakano, F. K. (2024). Deep forests with tree-embeddings and label imputation for weak-label learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650456 -
NLM
Ilídio P, Cerri R, Vens C, Nakano FK. Deep forests with tree-embeddings and label imputation for weak-label learning [Internet]. Proceedings. 2024 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650456 -
Vancouver
Ilídio P, Cerri R, Vens C, Nakano FK. Deep forests with tree-embeddings and label imputation for weak-label learning [Internet]. Proceedings. 2024 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650456 - On bipartite decision forests
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Informações sobre o DOI: 10.1109/IJCNN60899.2024.10650456 (Fonte: oaDOI API)
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