Fávero, L. P., Belfiore, P., Santos, H. P., dos Santos, M., de Araújo Costa, I. P., & Junior, W. T. (2022). Classification Performance Evaluation from Multilevel Logistic and Support Vector Machine Algorithms through Simulated Data in Python. Procedia Computer Science, 214, 511-519. https://doi.org/10.1016/j.procs.2022.11.206
ISO-690 (author-date, English)FÁVERO, Luiz Paulo, BELFIORE, Patrícia, SANTOS, Helder Prado, DOS SANTOS, Marcos, DE ARAÚJO COSTA, Igor Pinheiro und JUNIOR, Wilson Tarantin, 2022. Classification Performance Evaluation from Multilevel Logistic and Support Vector Machine Algorithms through Simulated Data in Python. Procedia Computer Science. 1 November 2022. Vol. 214, , p. 511-519. DOI 10.1016/j.procs.2022.11.206.
Modern Language Association 9th editionFávero, L. P., P. Belfiore, H. P. Santos, M. dos Santos, I. P. de Araújo Costa, und W. T. Junior. „Classification Performance Evaluation from Multilevel Logistic and Support Vector Machine Algorithms through Simulated Data in Python.“. Procedia Computer Science, Bd. 214, November 2022, S. 511-9, https://doi.org/10.1016/j.procs.2022.11.206.
Mohr Siebeck - Recht (Deutsch - Österreich)Fávero, Luiz Paulo/Belfiore, Patrícia/Santos, Helder Prado/dos Santos, Marcos/de Araújo Costa, Igor Pinheiro/Junior, Wilson Tarantin: Classification Performance Evaluation from Multilevel Logistic and Support Vector Machine Algorithms through Simulated Data in Python., Procedia Computer Science 2022, 511-519.
Emerald - HarvardFávero, L.P., Belfiore, P., Santos, H.P., dos Santos, M., de Araújo Costa, I.P. und Junior, W.T. (2022), „Classification Performance Evaluation from Multilevel Logistic and Support Vector Machine Algorithms through Simulated Data in Python.“, Procedia Computer Science, Vol. 214, S. 511-519.