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Accessibility is a major challenge of machine learning (ML).
A study of machine learning in healthcare
Bhardwaj, R., Nambiar, A. R., and Dutta, D · 2017
Earlier work this paper cites.
Can computers create art?
Hertzmann, A · 2018
Earlier work this paper cites.
Barista-a graphical tool for designing and training deep neural networks
Klemm, S., Scherzinger, A., Drees, D., and Jiang, X · 2018
Earlier work this paper cites.
Machine learning at the energy and intensity frontiers of particle physics
Radovic, A., Williams, M., Rousseau, D., Kagan, M., Bonacorsi, D., Himmel, A., Aurisano, A., Terao, K., and Wongjirad, T · 2018
Cited alongside, same era.
Can deep clinical models handle real-world domain shifts?
Thiagarajan, J. J., Rajan, D., and Sattigeri, P · 2018
Cited alongside, same era.
Ecglens: Interactive visual exploration of large scale ecg data for arrhythmia detection
Xu, K., Guo, S., Cao, N., Gotz, D., Xu, A., Qu, H., Yao, Z., and Chen, Y · 2018
Cited alongside, same era.
A primer on deep learning in genomics
Zou, J., Huss, M., Abid, A., Mohammadi, P., Torkamani, A., and Telenti, A · 2018
Later among the works it cites.
Dash: Deep learning for the automated spectral classification of supernovae and their hosts
Muthukrishna, D., Parkinson, D., and Tucker, B · 2019
Closest in time.
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