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Trabalho de evento-anais periodico
One-class learning for data stream through graph neural networks (2025)
Gôlo, Marcos Paulo Silva ; Gama, João ; Marcacini, Ricardo Marcondes
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva e GAMA, João e MARCACINI, Ricardo Marcondes. One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79038-6_5. Acesso em: 08 nov. 2025. , 2025
APA
Gôlo, M. P. S., Gama, J., & Marcacini, R. M. (2025). One-class learning for data stream through graph neural networks. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79038-6_5
NLM
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Vancouver
Gôlo MPS, Gama J, Marcacini RM. One-class learning for data stream through graph neural networks [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15415 61-75.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-79038-6_5
Trabalho de evento-anais periodico
Ensemble clustering for novelty detection in data streams (2019)
Garcia, Kemilly Dearo ; Faria, Elaine Ribeiro de; Sá, Cláudio Rebelo de ; Mendes-Moreira, João ; Aggarwal, Charu C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Kok, Joost N
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Discovery Science - DS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Kemilly Dearo et al. Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33778-0_34. Acesso em: 08 nov. 2025. , 2019
APA
Garcia, K. D., Faria, E. R. de, Sá, C. R. de, Mendes-Moreira, J., Aggarwal, C. C., Carvalho, A. C. P. de L. F. de, & Kok, J. N. (2019). Ensemble clustering for novelty detection in data streams. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-33778-0_34
NLM
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Vancouver
Garcia KD, Faria ER de, Sá CR de, Mendes-Moreira J, Aggarwal CC, Carvalho ACP de LF de, Kok JN. Ensemble clustering for novelty detection in data streams [Internet]. Lecture Notes in Artificial Intelligence. 2019 ; 11828 460-470.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-33778-0_34
Trabalho de evento-anais periodico
CF4CF-META: hybrid collaborative filtering algorithm selection framework (2018)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Discory Science - DS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
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. CF4CF-META: hybrid collaborative filtering algorithm selection framework. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-01771-2_8. Acesso em: 08 nov. 2025. , 2018
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2018). CF4CF-META: hybrid collaborative filtering algorithm selection framework. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-01771-2_8
NLM
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF-META: hybrid collaborative filtering algorithm selection framework [Internet]. Lecture Notes in Artificial Intelligence. 2018 ; 11198 114-128.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-01771-2_8
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. CF4CF-META: hybrid collaborative filtering algorithm selection framework [Internet]. Lecture Notes in Artificial Intelligence. 2018 ; 11198 114-128.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-01771-2_8
Trabalho de evento-resumo
Recommending collaborative filtering algorithms using subsampling landmarkers (2017)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Discovery Science - DS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
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. Recommending collaborative filtering algorithms using subsampling landmarkers. 2017, Anais.. Cham: Springer, 2017. p. 189-203. Disponível em: https://doi.org/10.1007/978-3-319-67786-6_14. Acesso em: 08 nov. 2025.
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2017). Recommending collaborative filtering algorithms using subsampling landmarkers. In Lecture Notes in Artificial Intelligence (Vol. 10558, p. 189-203). Cham: Springer. doi:10.1007/978-3-319-67786-6_14
NLM
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14
Trabalho de evento-anais periodico
Selecting collaborative filtering algorithms using metalearning (2016)
Cunha, Tiago; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: ICMC
Assuntos: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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. Selecting collaborative filtering algorithms using metalearning. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-46227-1_25. Acesso em: 08 nov. 2025. , 2016
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2016). Selecting collaborative filtering algorithms using metalearning. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-46227-1_25
NLM
Cunha T, Soares C, Carvalho ACP de LF de. Selecting collaborative filtering algorithms using metalearning [Internet]. Lecture Notes in Artificial Intelligence. 2016 ; 9852 393-409.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-46227-1_25
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Selecting collaborative filtering algorithms using metalearning [Internet]. Lecture Notes in Artificial Intelligence. 2016 ; 9852 393-409.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-46227-1_25
Trabalho de evento-anais periodico
Empirical evaluation of ranking prediction methods for gene expression data classification (2010)
Souza, Bruno Feres de; Carvalho, André Carlos Ponce de Leon Ferreira de ; Soares, Carlos
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: Ibero-American Conference on AI - IBERAMIA. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Bruno Feres de e CARVALHO, André Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Empirical evaluation of ranking prediction methods for gene expression data classification. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-16952-6_20. Acesso em: 08 nov. 2025. , 2010
APA
Souza, B. F. de, Carvalho, A. C. P. de L. F. de, & Soares, C. (2010). Empirical evaluation of ranking prediction methods for gene expression data classification. Lecture Notes in Artificial Intelligence. Heidelberg: Springer. doi:10.1007/978-3-642-16952-6_20
NLM
Souza BF de, Carvalho ACP de LF de, Soares C. Empirical evaluation of ranking prediction methods for gene expression data classification [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 194-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_20
Vancouver
Souza BF de, Carvalho ACP de LF de, Soares C. Empirical evaluation of ranking prediction methods for gene expression data classification [Internet]. Lecture Notes in Artificial Intelligence. 2010 ; 6433 194-203.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_20

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