Browsing by Subject "deep neural networks"
Now showing items 1-3 of 3
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(2021-04-26)Recent research has shown Deep Neural Networks (DNNs) to be vulnerable to adversarial examples that induce desired misclassifications in the models. Such risks impede the application of machine learning in security-sensitive ...
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(2021-05-10)The digital technology age has created an unprecedented production and consumption of data. With this surge, data-analytics have become increasingly important in industries that can generate value based on predictive models: ...
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(2020-04-02)Recently, sparse identification of nonlinear dynamics (SINDy) has delivered promising results in identifying interpretable models using data for various process systems. However, SINDy cannot completely comprehend the ...