• Corpus ID: 246864036

A Guide to Computational Reproducibility in Signal Processing and Machine Learning

@inproceedings{Shenouda2021AGT,
  title={A Guide to Computational Reproducibility in Signal Processing and Machine Learning},
  author={Josephine Shenouda and Waheed Uz Zaman Bajwa},
  year={2021}
}
Computational reproducibility is a growing problem that has been extensively studied among computational researchers and within the signal processing and machine learning research community. However, with the changing landscape of signal processing and machine learning research come new obstacles and unseen challenges in creating reproducible experiments. Due to these new challenges most computational experiments have become difficult, if not impossible, to be reproduced by an independent… 

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