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Trabalho de evento-anais periodico
Data streams are time series: challenging assumptions (2020)
Read, Jesse ; Rios, Ricardo A ; Nogueira, Tatiane ; Mello, Rodrigo Fernandes de
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
READ, Jesse et al. Data streams are time series: challenging assumptions. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-61380-8_36. Acesso em: 22 jan. 2026. , 2020
APA
Read, J., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2020). Data streams are time series: challenging assumptions. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-61380-8_36
NLM
Read J, Rios RA, Nogueira T, Mello RF de. Data streams are time series: challenging assumptions [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 529-543.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_36
Vancouver
Read J, Rios RA, Nogueira T, Mello RF de. Data streams are time series: challenging assumptions [Internet]. Lecture Notes in Artificial Intelligence. 2020 ; 12320 529-543.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-030-61380-8_36
Artigo de periodico
Measuring the shattering coefficient of decision tree models (2019)
Mello, Rodrigo Fernandes de ; Manapragada, Chaitanya; Bifet, Albert
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Rodrigo Fernandes de e MANAPRAGADA, Chaitanya e BIFET, Albert. Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, v. 137, p. 443-452, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 22 jan. 2026.
APA
Mello, R. F. de, Manapragada, C., & Bifet, A. (2019). Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, 137, 443-452. doi:10.1016/j.eswa.2019.07.012
NLM
Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Vancouver
Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
Monografia/livro
Machine learning: a practical approach on the statistical learning theory (2018)
Mello, Rodrigo Fernandes de; Ponti, Moacir Antonelli
Unidade: ICMC
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Rodrigo Fernandes de e PONTI, Moacir Antonelli. Machine learning: a practical approach on the statistical learning theory. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-94989-5. Acesso em: 22 jan. 2026. , 2018
APA
Mello, R. F. de, & Ponti, M. A. (2018). Machine learning: a practical approach on the statistical learning theory. Cham: Springer. doi:10.1007/978-3-319-94989-5
NLM
Mello RF de, Ponti MA. Machine learning: a practical approach on the statistical learning theory [Internet]. 2018 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-319-94989-5
Vancouver
Mello RF de, Ponti MA. Machine learning: a practical approach on the statistical learning theory [Internet]. 2018 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1007/978-3-319-94989-5
Artigo de periodico
Applying a kernel function on time-dependent data to provide supervised-learning guarantees (2017)
Pagliosa, Lucas de Carvalho; Mello, Rodrigo Fernandes de
Source: Expert Systems with Applications. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAGLIOSA, Lucas de Carvalho e MELLO, Rodrigo Fernandes de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, v. 71, p. 216-229, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 22 jan. 2026.
APA
Pagliosa, L. de C., & Mello, R. F. de. (2017). Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, 71, 216-229. doi:10.1016/j.eswa.2016.11.028
NLM
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028
Vancouver
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028

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