511 to 520 of 15,426 Results
May 28, 2026 -
Média e distribuição do tamanho colonial de cepas de Streptococcus sanguinis e taxas de invasão
Tabular Data - 30.6 KB - 19 Variables, 310 Observations - UNF:6:hDgsIwLdXwWDITF05/a3hA==
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May 28, 2026 -
Média e distribuição do tamanho colonial de cepas de Streptococcus sanguinis e taxas de invasão
Tabular Data - 2.3 KB - 17 Variables, 30 Observations - UNF:6:ZtCpvzm2HzL4snvLbs7o8A==
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May 28, 2026 -
Média e distribuição do tamanho colonial de cepas de Streptococcus sanguinis e taxas de invasão
Tabular Data - 5.1 KB - 53 Variables, 11 Observations - UNF:6:FvEYlechj13L3091ch1xoA==
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May 28, 2026 -
Média e distribuição do tamanho colonial de cepas de Streptococcus sanguinis e taxas de invasão
Tabular Data - 4.1 KB - 32 Variables, 26 Observations - UNF:6:m52d/bJ1s/Oot9Sjrii/Lw==
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May 27, 2026 - Biomédicas
Baldissin, Maurício Martins; Amorim, Bárbara Juarez; Souza, Edna Marina de, 2026, "Autoimmune encephalitis: clinical correlation with 18F-FDG PET/CT", https://doi.org/10.25824/redu/KZGCBZ, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:yKXmcI2ywBpgkKafpmbcrg== [fileUNF]
PhD Thesis exploring the potential of 18F-FDG-PET/CT to differentiate the metabolic signatures of autoimmune encephalitis, considering different types of biomakers. |
Tabular Data - 4.6 KB - 16 Variables, 34 Observations - UNF:6:beAFaJ+u96yyeIde/cdd9g==
Data for histogram of all patients studied, considering the results of the imaging processing using the Scenium Software. |
Tabular Data - 2.5 KB - 8 Variables, 35 Observations - UNF:6:aprjfVpTPnvjTU/JDlmKtQ==
Results of the imaging processing using the Scenium software considering the patients with different types of antibodies. |
May 27, 2026 - Tecnológicas
Gaspar, João Pedro Vicente; Carvalho, Marco Antonio Garcia de, 2026, "FSGA-MuRTe: evolutionary feature selection in multi-representational text environments for unsupervised text clustering", https://doi.org/10.25824/redu/XTQQEL, Repositório de Dados de Pesquisa da Unicamp, V1
FSGA-MuRTe (Feature Selection Using Genetic Algorithm in Multi-Representational Text Environments) is an evolutionary framework for unsupervised feature selection in high-dimensional multi-representational text clustering environments. This repository contains the materials assoc... |
May 27, 2026 -
FSGA-MuRTe: evolutionary feature selection in multi-representational text environments for unsupervised text clustering
Unknown - 700.0 MB -
MD5: c32a484af4a4ddc8fdf3704330b25c0d
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May 27, 2026 -
FSGA-MuRTe: evolutionary feature selection in multi-representational text environments for unsupervised text clustering
ZIP Archive - 360.7 MB -
MD5: 833cd22df4562dfd4657bf6de77287a3
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