Search Results for author: Giulio Antoniol

Found 2 papers, 2 papers with code

How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review

1 code implementation • 26 Jul 2021 • Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse khomh, Giulio Antoniol, Ettore Merlo, François Laviolette

Method: We conduct a Systematic Literature Review (SLR) of research papers published between 2015 to 2020, covering topics related to the certification of ML systems.

BIG-bench Machine Learning Safe Reinforcement Learning

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Code

HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks

1 code implementation • 10 Jul 2021 • Florian Tambon, Giulio Antoniol, Foutse khomh

Deep Neural Networks (DNN) applications are increasingly becoming a part of our everyday life, from medical applications to autonomous cars.

Uncertainty Quantification valid +1

Paper
Code

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