• Corpus ID: 52169948

Propheticus: Generalizable Machine Learning Framework

@article{Campos2018PropheticusGM,
  title={Propheticus: Generalizable Machine Learning Framework},
  author={Jo{\~a}o R. Campos and Marco Paulo Amorim Vieira and Ernesto Costa},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.01898}
}
Due to recent technological developments, Machine Learning (ML), a subfield of Artificial Intelligence (AI), has been successfully used to process and extract knowledge from a variety of complex problems. However, a thorough ML approach is complex and highly dependent on the problem at hand. Additionally, implementing the logic required to execute the experiments is no small nor trivial deed, consequentially increasing the probability of faulty code which can compromise the results. Propheticus… 

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