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Machine learning technology in biodiesel research: A review

Progress in Energy and Combustion Science, 2021
Mortaza Aghbashlo   +2 more
exaly  

Frontiers of Statistics and Machine Learning

AI is currently the central theme in science. Whereas the underlying algorithms rely on rather simple mathematical operations such as matrix-vector multiplications and applying non-linearities componentwise, deriving a theoretical understanding proves to be extremely challenging.
openaire   +2 more sources

Machine Learning, Neural, and Statistical Classification.

Journal of the American Statistical Association, 1995
Bill Fulkerson   +3 more
openaire   +1 more source

Machine Learning for Chemical Reactions

Chemical Reviews, 2021
Markus Meuwly
exaly  

Colloquium : Machine learning in nuclear physics

Reviews of Modern Physics, 2022
Amber Boehnlein   +2 more
exaly  

Navigating the pitfalls of applying machine learning in genomics

Nature Reviews Genetics, 2021
Sean Whalen   +2 more
exaly  

A guide to machine learning for biologists

Nature Reviews Molecular Cell Biology, 2021
Joe G Greener   +2 more
exaly  

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