
doi: 10.29327/41209833
Este trabalho propõe aplicar e comparar técnicas de Machine Learning na predição de dados referentes à detecção de exoplanetas. Apresenta informações referentes à exoplanetas, técnicas e ferramentas de Machine Learning. Realiza uma análise comparativa de trabalhos relacionados à detecção de exoplanetas. Analisa e processa o conjunto de dados Kepler Objects of Interest e aplica-o aos modelos de classificação. Por fim, seleciona o modelo ideal, e então, prediz se uma estrela contém, ou não, um exoplaneta em sua órbita.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
