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Artigo de periodico
Meta-features for meta-learning (2022)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Soares, Carlos; Vanschoren, Joaquin ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS E ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. Meta-features for meta-learning. Knowledge-Based Systems, v. 240, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2021.108101. Acesso em: 06 out. 2024.
APA
Rivolli, A., Garcia, L. P. F., Soares, C., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2022). Meta-features for meta-learning. Knowledge-Based Systems, 240, 1-21. doi:10.1016/j.knosys.2021.108101
NLM
Rivolli A, Garcia LPF, Soares C, Vanschoren J, Carvalho ACP de LF de. Meta-features for meta-learning [Internet]. Knowledge-Based Systems. 2022 ; 240 1-21.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.knosys.2021.108101
Vancouver
Rivolli A, Garcia LPF, Soares C, Vanschoren J, Carvalho ACP de LF de. Meta-features for meta-learning [Internet]. Knowledge-Based Systems. 2022 ; 240 1-21.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.knosys.2021.108101
Artigo de periodico
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning (2020)
Rivolli, Adriano ; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Machine Learning. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, v. 109, n. 8, p. 1509-1563, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10994-020-05879-3. Acesso em: 06 out. 2024.
APA
Rivolli, A., Read, J., Soares, C., Pfahringer, B., & Carvalho, A. C. P. de L. F. de. (2020). An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Machine Learning, 109( 8), 1509-1563. doi:10.1007/s10994-020-05879-3
NLM
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Vancouver
Rivolli A, Read J, Soares C, Pfahringer B, Carvalho ACP de LF de. An empirical analysis of binary transformation strategies and base algorithms for multi-label learning [Internet]. Machine Learning. 2020 ; 109( 8): 1509-1563.[citado 2024 out. 06 ] Available from: https://doi.org/10.1007/s10994-020-05879-3
Artigo de periodico
Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering (2018)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Information Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, v. 423, n. Ja 2018, p. 128-144, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2017.09.050. Acesso em: 06 out. 2024.
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering. Information Sciences, 423( Ja 2018), 128-144. doi:10.1016/j.ins.2017.09.050
NLM
Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.ins.2017.09.050
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Metalearning and recommender systems: a literature review and empirical study on the algorithm selection problem for collaborative filtering [Internet]. Information Sciences. 2018 ; 423( Ja 2018): 128-144.[citado 2024 out. 06 ] Available from: https://doi.org/10.1016/j.ins.2017.09.050
Artigo de periodico
A guidance of data stream characterization for meta-learning (2017)
Rossi, André Luis Debiaso; Souza, Bruno Feres de; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Intelligent Data Analysis. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, André Luis Debiaso et al. A guidance of data stream characterization for meta-learning. Intelligent Data Analysis, v. 21, n. 4, p. 1015-1035, 2017Tradução . . Disponível em: https://doi.org/10.3233/IDA-160083. Acesso em: 06 out. 2024.
APA
Rossi, A. L. D., Souza, B. F. de, Soares, C., & Carvalho, A. C. P. de L. F. de. (2017). A guidance of data stream characterization for meta-learning. Intelligent Data Analysis, 21( 4), 1015-1035. doi:10.3233/IDA-160083
NLM
Rossi ALD, Souza BF de, Soares C, Carvalho ACP de LF de. A guidance of data stream characterization for meta-learning [Internet]. Intelligent Data Analysis. 2017 ; 21( 4): 1015-1035.[citado 2024 out. 06 ] Available from: https://doi.org/10.3233/IDA-160083
Vancouver
Rossi ALD, Souza BF de, Soares C, Carvalho ACP de LF de. A guidance of data stream characterization for meta-learning [Internet]. Intelligent Data Analysis. 2017 ; 21( 4): 1015-1035.[citado 2024 out. 06 ] Available from: https://doi.org/10.3233/IDA-160083

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