Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS (2026)
- Authors:
- Autor USP: SILVA, DIEGO FURTADO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-032-15987-8
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- ISSN: 0302-9743
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8. Acesso em: 18 fev. 2026. , 2026 -
APA
Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. (2026). Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS. Cham: Springer. doi:10.1007/978-3-032-15987-8 -
NLM
Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS [Internet]. 2026 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1007/978-3-032-15987-8 -
Vancouver
Proceedings of the 35th Brazilian Conference on Intelligent Systems - BRACIS [Internet]. 2026 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1007/978-3-032-15987-8 - Large scale similarity-based time series mining
- A divergence-based pruning approach for tree selection in continuous data streams
- Enhancing random forest for continuous data streams using divergence measures to select decision trees
- Classificação de séries temporais por similaridade e extração de atributos com aplicação na identificação automática de insetos
- Unsupervised feature based algorithms for time series extrinsic regression
- Noisy self-training with data augmentations for offensive and hate speech detection tasks
- Evaluating sentiment quantification methods in brazilian portuguese corpora
- Proceedings of 21st National Meeting on Artificial and Computational Intelligence
- Match: a maximum-likelihood approach for classification under label shift
- A new time series framework for forest fire risk forecasting and classification
Informações sobre o DOI: 10.1007/978-3-032-15987-8 (Fonte: oaDOI API)
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