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Fabio Arnez
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2020 – today
- 2023
- [c6]Fabio Arnez, Ansgar Radermacher, François Terrier:
Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty. SafeAI@AAAI 2023 - [c5]Guillaume Ollier
, Fabio Arnez
, Morayo Adedjouma
, Raphaël Lallement
, Simos Gerasimou
, Chokri Mraidha
:
Towards an Ontological Methodology for Dynamic Dependability Management of Unmanned Aerial Vehicles. DroneSE/RAPIDO@HiPEAC 2023: 12-19 - [i5]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components. CoRR abs/2301.05297 (2023) - 2022
- [c4]Fabio Arnez
, Guillaume Ollier
, Ansgar Radermacher, Morayo Adedjouma, Simos Gerasimou, Chokri Mraidha, François Terrier:
Skeptical Dynamic Dependability Management for Automated Systems. DSD 2022: 118-125 - [c3]Fabio Arnez
, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components. EDCC 2022: 65-72 - [i4]Fabio Arnez, Ansgar Radermacher, Huáscar Espinoza:
Quantifying and Using System Uncertainty in UAV Navigation. CoRR abs/2206.01953 (2022) - [i3]Dennis Casazola, Fabio Arnez, Huáscar Espinoza:
Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming. CoRR abs/2212.11402 (2022) - 2021
- [c2]Fabio Arnez
, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty. SAFECOMP Workshops 2021: 219-225 - [i2]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty. CoRR abs/2110.13729 (2021) - 2020
- [c1]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications. AISafety@IJCAI 2020 - [i1]Fabio Arnez, Huáscar Espinoza, Ansgar Radermacher, François Terrier:
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications. CoRR abs/2006.15172 (2020)
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