ReP USP - Resultado da busca

Artigo de periodico
Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation (2024)
Meira Neto, Antonio Carlos ; Sousa, Rafael Gaspar de; Fantinato, Marcelo ; Peres, Sarajane Marques
Source: SN Computer Science. Unidade: EACH
Assunto: MATRIZES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEIRA NETO, Antonio Carlos et al. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation. SN Computer Science, v. 5, n. ja 2024, p. 01-25, 2024Tradução . . Disponível em: http://dx.doi.org/10.1007/s42979-023-02536-z. Acesso em: 03 out. 2024.
APA
Meira Neto, A. C., Sousa, R. G. de, Fantinato, M., & Peres, S. M. (2024). Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation. SN Computer Science, 5( ja 2024), 01-25. doi:10.1007/s42979-023-02536-z
NLM
Meira Neto AC, Sousa RG de, Fantinato M, Peres SM. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation [Internet]. SN Computer Science. 2024 ; 5( ja 2024): 01-25.[citado 2024 out. 03 ] Available from: http://dx.doi.org/10.1007/s42979-023-02536-z
Vancouver
Meira Neto AC, Sousa RG de, Fantinato M, Peres SM. Revisiting the transition matrix‑based concept drift approach: improving the detection task reliability through additional experimentation [Internet]. SN Computer Science. 2024 ; 5( ja 2024): 01-25.[citado 2024 out. 03 ] Available from: http://dx.doi.org/10.1007/s42979-023-02536-z
Artigo de periodico
Stability analysis of supervised decision boundary maps (2023)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: SN Computer Science. Unidades: IME, ICMC
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Stability analysis of supervised decision boundary maps. SN Computer Science, v. 4, n. artigo 226, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01662-4. Acesso em: 03 out. 2024.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2023). Stability analysis of supervised decision boundary maps. SN Computer Science, 4( artigo 226), 1. doi:10.1007/s42979-022-01662-4
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Artigo de periodico
Visualizing high-dimensional functions with dense maps (2023)
Espadoto, Mateus ; Rodrigues, Francisco Caio Maia ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: SN Computer Science. Unidades: IME, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PESQUISA OPERACIONAL, REGRESSÃO, OTIMIZAÇÃO MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus et al. Visualizing high-dimensional functions with dense maps. SN Computer Science, v. 4, n. artigo 230, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01664-2. Acesso em: 03 out. 2024.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2023). Visualizing high-dimensional functions with dense maps. SN Computer Science, 4( artigo 230), 1. doi:10.1007/s42979-022-01664-2
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
Artigo de periodico
DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification (2021)
Lima, Daniel Mário de ; Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli ; Goeuriot, Lorraine ; Amer-Yahia, Sihem
Source: SN Computer Science. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, NEOPLASIAS CUTÂNEAS, MELANOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Daniel Mário de et al. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification. SN Computer Science, v. 2, n. 4, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s42979-021-00641-5. Acesso em: 03 out. 2024.
APA
Lima, D. M. de, Rodrigues Junior, J. F., Machado, B. B., Goeuriot, L., & Amer-Yahia, S. (2021). DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification. SN Computer Science, 2( 4), 1-13. doi:10.1007/s42979-021-00641-5
NLM
Lima DM de, Rodrigues Junior JF, Machado BB, Goeuriot L, Amer-Yahia S. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification [Internet]. SN Computer Science. 2021 ; 2( 4): 1-13.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-021-00641-5
Vancouver
Lima DM de, Rodrigues Junior JF, Machado BB, Goeuriot L, Amer-Yahia S. DermaDL: advanced convolutional neural networks for computer-aided skin-lesion classification [Internet]. SN Computer Science. 2021 ; 2( 4): 1-13.[citado 2024 out. 03 ] Available from: https://doi.org/10.1007/s42979-021-00641-5

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Funding Agencies