A network classification method based on density time evolution patterns extracted from network automata (2024)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; ZIELINSKI, KALLIL MIGUEL CAPARROZ - IFSC ; JUSTO, MARINA JEANETH MACHICAO - EP
- Unidades: IFSC; EP
- DOI: 10.1016/j.patcog.2023.109946
- Subjects: REDES COMPLEXAS; REDES NEURAIS; VISÃO COMPUTACIONAL; TEXTURA
- Keywords: Complex networks; Cellular automata; Network automata; Pattern recognition
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Pattern Recognition
- ISSN: 0031-3203
- Volume/Número/Paginação/Ano: v. 146, p. 109802-1-109802-13 + supplementary materials, Feb. 2024
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 31 mar. 2026. -
APA
Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946 -
NLM
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946 -
Vancouver
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946 - A comprehensive taxonomy of cellular automata
- Métodos para aprimorar as propriedades pseudo-aleatórias de mapas caóticos
- On the use of topological features of metabolic networks for the classifi-cation of cancer samples
- Zooming into chaos as a pathway for the creation of a fast, light and reliable cryptosystem
- A visual analysis method of randomness for classifying and ranking pseudo-random number generators
- RADAM: texture recognition through randomized aggregated encoding of deep activation maps
- Randomized encoding ensemble: a new approach for texture representation
- Exploring neighborhood variancy for rule search optimization in life-like network automata
- Deep texture feature aggregation on leaf microscopy images for brazilian plant species recognition
- Complex networks for modeling texture and spectral features of hyperspectral images for environmental analysis
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3163355_2024.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
