On the evaluation of outlier detection and one-class classification methods (2016)
Source: Proceedings. Conference titles: IEEE International Conference on Data Science and Advanced Analytics - DSAA. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
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SWERSKY, Lorne et al. On the evaluation of outlier detection and one-class classification methods. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/DSAA.2016.8. Acesso em: 10 out. 2024.APA
Swersky, L., Marques, H. O., Sander, J., Campello, R. J. G. B., & Zimek, A. (2016). On the evaluation of outlier detection and one-class classification methods. In Proceedings. Los Alamitos: IEEE. doi:10.1109/DSAA.2016.8NLM
Swersky L, Marques HO, Sander J, Campello RJGB, Zimek A. On the evaluation of outlier detection and one-class classification methods [Internet]. Proceedings. 2016 ;[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/DSAA.2016.8Vancouver
Swersky L, Marques HO, Sander J, Campello RJGB, Zimek A. On the evaluation of outlier detection and one-class classification methods [Internet]. Proceedings. 2016 ;[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/DSAA.2016.8