Deep learning and data integration for detecting trees entangled with utility lines (2025)
- Authors:
- USP affiliated authors: HIRATA JUNIOR, ROBERTO - IME ; OLIVEIRA, ARTUR ANDRE ALMEIDA DE MACEDO - IME
- Unidade: IME
- DOI: 10.19153/cleiej.28.6.3
- Subjects: APRENDIZADO COMPUTACIONAL; VISÃO COMPUTACIONAL
- Keywords: Urban images; Computer Vision; Deep Learning; Instance Hardness
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: CLEI Electronic Journal
- ISSN: 0717-5000
- Volume/Número/Paginação/Ano: v. 28, n. 6, p. 1-9, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
OLIVEIRA, Artur André Almeida de Macedo e HIRATA JÚNIOR, Roberto. Deep learning and data integration for detecting trees entangled with utility lines. CLEI Electronic Journal, v. 28, n. 6, p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.19153/cleiej.28.6.3. Acesso em: 21 jan. 2026. -
APA
Oliveira, A. A. A. de M., & Hirata Júnior, R. (2025). Deep learning and data integration for detecting trees entangled with utility lines. CLEI Electronic Journal, 28( 6), 1-9. doi:10.19153/cleiej.28.6.3 -
NLM
Oliveira AAA de M, Hirata Júnior R. Deep learning and data integration for detecting trees entangled with utility lines [Internet]. CLEI Electronic Journal. 2025 ; 28( 6): 1-9.[citado 2026 jan. 21 ] Available from: https://doi.org/10.19153/cleiej.28.6.3 -
Vancouver
Oliveira AAA de M, Hirata Júnior R. Deep learning and data integration for detecting trees entangled with utility lines [Internet]. CLEI Electronic Journal. 2025 ; 28( 6): 1-9.[citado 2026 jan. 21 ] Available from: https://doi.org/10.19153/cleiej.28.6.3 - INACITY - INvestigate and Analyze a CITY
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- SDBM: Supervised Decision Boundary Maps for machine learning classifiers
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- Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies
- Improving image classification tasks using fused embeddings and multimodal models
- Stability analysis of supervised decision boundary maps
- Parameter estimation for ridge detection in images with thin structures
Informações sobre o DOI: 10.19153/cleiej.28.6.3 (Fonte: oaDOI API)
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