publications

2025

1. FindMeIfYouCan: Bringing Open Set metrics to near, far and farther Out-of-Distribution Object Detection

   Daniel Montoya, Aymen Bouguerra, Alexandra Gomez-Villa, and 1 more author

   2025

   Bib PDF

   @misc{montoya2025findmeifyoucanbringingopenset,
     title = {FindMeIfYouCan: Bringing Open Set metrics to near, far and farther Out-of-Distribution Object Detection},
     author = {Montoya, Daniel and Bouguerra, Aymen and Gomez-Villa, Alexandra and Arnez, Fabio},
     year = {2025},
     eprint = {2506.14008},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     url = {https://arxiv.org/abs/2506.14008},
   }

2024

1. Latent representation entropy density for distribution shift detection

   Fabio Arnez, Daniel Alfonso Montoya Vasquez, Ansgar Radermacher, and 1 more author

   In Conference on Uncertainty in Artificial Intelligence (UAI), 2024

   Bib PDF

   @inproceedings{arnez2024latent,
     title = {Latent representation entropy density for distribution shift detection},
     author = {Arnez, Fabio and Vasquez, Daniel Alfonso Montoya and Radermacher, Ansgar and Terrier, Fran{\c{c}}ois},
     booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
     year = {2024},
     url = {https://proceedings.mlr.press/v244/arnez24a.html},
   }

2023

1. Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation

   Fabio Alejandro Arnez Yagualca

   Dec 2023

   Bib PDF

   @phdthesis{arnezyagualca:tel-04672736,
     title = {{Deep neural network uncertainty runtime monitoring for robust and safe AI-based automated navigation}},
     author = {Arnez Yagualca, Fabio Alejandro},
     url = {https://theses.hal.science/tel-04672736},
     number = {2023UPASG100},
     school = {{Universit{\'e} Paris-Saclay}},
     year = {2023},
     month = dec,
     keywords = {Deep neural network ; Uncertainty ; Monitoring ; Propagation ; Automated system ; R{\'e}seaux neuronaux profonds ; Incertitude ; Surveillance du temps d'ex{\'e}cution ; Propagation ; Syst{\`e}me automatis{\'e}},
     type = {Theses},
     hal_id = {tel-04672736},
     hal_version = {v1}
   }

2. Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.

   Fabio Arnez, Ansgar Radermacher, and François Terrier

   In SafeAI@ AAAI, Dec 2023

   Bib

   @inproceedings{arnez2023out,
     title = {Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty.},
     author = {Arnez, Fabio and Radermacher, Ansgar and Terrier, Fran{\c{c}}ois},
     booktitle = {SafeAI@ AAAI},
     year = {2023}
   }

3. Towards an ontological methodology for dynamic dependability management of unmanned aerial vehicles

   Guillaume Ollier, Fabio Arnez, Morayo Adedjouma, and 3 more authors

   In Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems, Dec 2023

   Bib

   @incollection{ollier2023towards,
     title = {Towards an ontological methodology for dynamic dependability management of unmanned aerial vehicles},
     author = {Ollier, Guillaume and Arnez, Fabio and Adedjouma, Morayo and Lallement, Rapha{\"e}l and Gerasimou, Simos and Mraidha, Chokri},
     booktitle = {Proceedings of the DroneSE and RAPIDO: System Engineering for constrained embedded systems},
     pages = {12--19},
     year = {2023}
   }

2022

1. Skeptical dynamic dependability management for automated systems

   Fabio Arnez, Guillaume Ollier, Ansgar Radermacher, and 4 more authors

   In 2022 25th Euromicro Conference on Digital System Design (DSD), Dec 2022

   Bib

   @inproceedings{arnez2022skeptical,
     title = {Skeptical dynamic dependability management for automated systems},
     author = {Arnez, Fabio and Ollier, Guillaume and Radermacher, Ansgar and Adedjouma, Morayo and Gerasimou, Simos and Mraidha, Chokri and Terrier, Fran{\c{c}}ois},
     booktitle = {2022 25th Euromicro Conference on Digital System Design (DSD)},
     pages = {118--125},
     year = {2022},
     organization = {IEEE Computer Society}
   }

2. Quantifying and using system uncertainty in uav navigation

   Fabio Arnez, Ansgar Radermacher, and Huascar Espinoza

   arXiv preprint arXiv:2206.01953, Dec 2022

   Bib

   @article{arnez2022quantifying,
     title = {Quantifying and using system uncertainty in uav navigation},
     author = {Arnez, Fabio and Radermacher, Ansgar and Espinoza, Huascar},
     journal = {arXiv preprint arXiv:2206.01953},
     year = {2022}
   }

3. Towards dependable autonomous systems based on bayesian deep learning components

   Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and 1 more author

   In 2022 18th European Dependable Computing Conference (EDCC), Dec 2022

   Bib

   @inproceedings{arnez2022towards,
     title = {Towards dependable autonomous systems based on bayesian deep learning components},
     author = {Arnez, Fabio and Espinoza, Huascar and Radermacher, Ansgar and Terrier, Fran{\c{c}}ois},
     booktitle = {2022 18th European Dependable Computing Conference (EDCC)},
     pages = {65--72},
     year = {2022},
     organization = {IEEE}
   }

2021

1. Improving robustness of deep neural networks for aerial navigation by incorporating input uncertainty

   Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and 1 more author

   In Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops, Dec 2021

   Bib

   @inproceedings{arnez2021improving,
     title = {Improving robustness of deep neural networks for aerial navigation by incorporating input uncertainty},
     author = {Arnez, Fabio and Espinoza, Huascar and Radermacher, Ansgar and Terrier, Fran{\c{c}}ois},
     booktitle = {Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops},
     pages = {219--225},
     year = {2021},
     organization = {Springer}
   }

2. A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications

   Fabio Arnez, Huascar Espinoza, Ansgar Radermacher, and 1 more author

   In IJCAI-PRICAI 2020, Workshop on Artificial Intelligence Safety - AISafety 2020, Jan 2021

   Accepted Workshop AISafety 2020 - Workshop in Artificial Intelligence Safety

   Bib

   @inproceedings{arnez:hal-04486343,
     title = {{A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications}},
     author = {Arnez, Fabio and Espinoza, Huascar and Radermacher, Ansgar and Terrier, Fran{\c c}ois},
     url = {https://hal.science/hal-04486343},
     note = {Accepted Workshop AISafety 2020 - Workshop in Artificial Intelligence Safety},
     booktitle = {{IJCAI-PRICAI 2020, Workshop on Artificial Intelligence Safety - AISafety 2020}},
     address = {Yokohama ( virtual ), Japan},
     year = {2021},
     month = jan,
     keywords = {autonomous vehicle ; Uncertainty ; Deep Learning ; Bayesian deep learning},
     hal_id = {hal-04486343},
     hal_version = {v1}
   }

2019

1. SRESLi: Smart renewable energy street lighting system

   Fabiana Cañipa, Fabio Arnez, Omar Ormachea, and 3 more authors

   Investigación & Desarrollo, Jan 2019

   Bib

   @article{canipa2019sresli,
     title = {SRESLi: Smart renewable energy street lighting system},
     author = {Ca{\~n}ipa, Fabiana and Arnez, Fabio and Ormachea, Omar and Rivero, Armando and Dozio, Gian Carlo and Escobar, Erick},
     journal = {Investigaci{\'o}n \& Desarrollo},
     volume = {19},
     number = {1},
     pages = {5--23},
     year = {2019},
     publisher = {Universidad Privada Boliviana}
   }

2015

1. Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming

   Dennis Casazola, Fabio Arnez, and Huascar Espinoza

   Jan 2015

   Bib PDF

   @misc{casazola2022designconsiderationsunmannedaerial,
     title = {Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming},
     author = {Casazola, Dennis and Arnez, Fabio and Espinoza, Huascar},
     year = {2015},
     eprint = {2212.11402},
     archiveprefix = {arXiv},
     primaryclass = {cs.RO},
     url = {https://arxiv.org/abs/2212.11402},
   }

2014

1. VIRMS A VEHICLE INFORMATION AND ROAD MONITORING SYSTEM

   Fabio Arnez and Alex Villazón

   Revista Investigación & Desarrollo, Jan 2014

   Bib PDF

   @article{Arnez2014,
     title = {VIRMS A VEHICLE INFORMATION AND ROAD MONITORING SYSTEM},
     journal = {Revista Investigación & Desarrollo},
     author = {Arnez, Fabio and Villazón, Alex},
     issn = {2518-4431},
     language = {en},
     url = {https://www1.upb.edu/revista-investigacion-desarrollo/index.php/id/article/view/29},
     volume = {2},
     number = {14},
     year = {2014},
     month = jan,
     pages = {92 - 105},
   }