Abstract: Artificial neural networks thrive in solving the classification problem for a particular rigid task, acquiring knowledge through generalized learning behaviour from a distinct training phase ...
This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...
Abstract: In educational environments, Explainable Artificial Intelligence is an absolutely state-of-the-art technique for the identification of learners who are proceeding with a slowing pace.
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