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Found 4 papers, 2 papers with code
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
Interpretability of neural networks and their underlying theoretical behavior remain an open field of study even after the great success of their practical applications, particularly with the emergence of deep learning.
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
Even when neural networks are widely used in a large number of applications, they are still considered as black boxes and present some difficulties for dimensioning or evaluating their prediction error.
Automatic elimination of the pectoral muscle in mammograms based on anatomical features
When mammograms are analyzed through a computational method, the presence of the pectoral muscle might affect the results of breast lesions detection.
The Mahalanobis distance for functional data with applications to classification
This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points belonging to curves generated by a stochastic process.
