Machine learning approaches to predict the micromechanical properties of cementitious hydration phases from microstructural chemical maps

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments

W. C. Oliver, George M. Pharr · Journal of materials research/Pratt's guide to venture capital sources · 1992 · 26.6K citations

Natural Sciences, Materials Engineering, Materials Science +16

Random search for hyper-parameter optimization

James Bergstra, Yoshua Bengio · 2012 · 7.9K citations

Natural Sciences, Computer Science, Algorithms +8

Measurement of hardness and elastic modulus by instrumented indentation: Advances in understanding and refinements to methodology

W. C. Oliver, George M. Pharr · Journal of materials research/Pratt's guide to venture capital sources · 2004 · 7.8K citations

Natural Sciences, Materials Engineering, Materials Science +14