Designing safety critical software systems to manage inherent uncertainty
AC Serban - 2019 IEEE International Conference on Software …, 2019 - ieeexplore.ieee.org
Deploying machine learning algorithms in safety critical systems raises new challenges for
system designers. The opaque nature of some algorithms together with the potentially large …
system designers. The opaque nature of some algorithms together with the potentially large …
[PDF][PDF] Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban - cs.ru.nl
Deploying machine learning algorithms in safety critical systems raises new challenges for
system designers. The opaque nature of some algorithms together with the potentially large …
system designers. The opaque nature of some algorithms together with the potentially large …
Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban - 2019 IEEE International Conference on Software …, 2019 - computer.org
Deploying machine learning algorithms in safety critical systems raises new challenges for
system designers. The opaque nature of some algorithms together with the potentially large …
system designers. The opaque nature of some algorithms together with the potentially large …
[PDF][PDF] Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban - xserban.github.io
Deploying machine learning algorithms in safety critical systems raises new challenges for
system designers. The opaque nature of some algorithms together with the potentially large …
system designers. The opaque nature of some algorithms together with the potentially large …
[PDF][PDF] Designing Safety Critical Software Systems to Manage Inherent Uncertainty
AC Serban - cs.ru.nl
Deploying machine learning algorithms in safety critical systems raises new challenges for
system designers. The opaque nature of some algorithms together with the potentially large …
system designers. The opaque nature of some algorithms together with the potentially large …