| 2026 | ICPR | Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing. | Mathieu Dario, Florent Chenevier, Kevin Delmas, Joris Gurin, Jrmie Guiochet |
| 2024 | IFM | Extended Abstract: Skill-Based Architectures in Autonomous Systems: Lessons Learnt. | Pierre Malafosse, Alexandre Albore, Jrmie Guiochet, Charles Lesire |
| 2024 | UAI | Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring. | Khoi Tran Dang, Kevin Delmas, Jrmie Guiochet, Joris Gurin |
| 2023 | AAAI | Out-of-Distribution Detection Is Not All You Need. | Joris Gurin, Kevin Delmas, Raul Sena Ferreira, Jrmie Guiochet |
| 2023 | ECAI | SENA: Similarity-Based Error-Checking of Neural Activations. | Raul Sena Ferreira, Joris Gurin, Jrmie Guiochet, Hlne Waeselynck |
| 2023 | ICST | Pairwise Testing Revisited for Structured Data With Constraints. | Luca Vittorio Sartori, Hlne Waeselynck, Jrmie Guiochet |
| 2022 | AST | Integration of Test Generation Into Simulation-Based Platforms: An Experience Report. | Luca Vittorio Sartori, Jrmie Guiochet, Hlne Waeselynck, Aizar Antonio Berlanga Galvan, Simon Hbert-Vernhes, Magnus Albert |
| 2022 | ICRA | Evaluation of Runtime Monitoring for UAV Emergency Landing. | Joris Gurin, Kevin Delmas, Jrmie Guiochet |
| 2022 | ISSRE | Unifying Evaluation of Machine Learning Safety Monitors. | Joris Gurin, Raul Sena Ferreira, Kevin Delmas, Jrmie Guiochet |
| 2022 | PRDC | SiMOOD: Evolutionary Testing Simulation With Out-Of-Distribution Images. | Raul Sena Ferreira, Joris Gurin, Jrmie Guiochet, Hlne Waeselynck |
| 2022 | SAFECOMP | Uncertainty Elicitation and Propagation in GSN Models of Assurance Cases. | Yassir Idmessaoud, Didier Dubois, Jrmie Guiochet |
| 2021 | DSN | Certifying Emergency Landing for Safe Urban UAV. | Joris Gurin, Kevin Delmas, Jrmie Guiochet |
| 2021 | ICRA | A Fault Tolerant Control Architecture Based on Fault Trees for an Underwater Robot Executing Transect Missions. | Adrien Hereau, Karen Godary-Dejean, Jrmie Guiochet, Didier Crestani |
| 2021 | PRDC | Benchmarking Safety Monitors for Image Classifiers with Machine Learning. | Raul Sena Ferreira, Jean Arlat, Jrmie Guiochet, Hlne Waeselynck |
| 2021 | QRS | TAF: a Tool for Diverse and Constrained Test Case Generation. | Clment Robert, Jrmie Guiochet, Hlne Waeselynck, Luca Vittorio Sartori |
| 2020 | DSN | A hierarchical fault tolerant architecture for an autonomous robot. | Anthony Favier, Antonin Messioux, Jrmie Guiochet, Jean-Charles Fabre, Charles Lesire |
| 2017 | QRS | Can Robot Navigation Bugs Be Found in Simulation? An Exploratory Study. | Thierry Sotiropoulos, Hlne Waeselynck, Jrmie Guiochet, Flix Ingrand |
| 2017 | SAFECOMP | Confidence Assessment Framework for Safety Arguments. | Rui Wang, Jrmie Guiochet, Gilles Motet |
| 2016 | EDCC | Virtual Worlds for Testing Robot Navigation: A Study on the Difficulty Level. | Thierry Sotiropoulos, Jrmie Guiochet, Flix Ingrand, Hlne Waeselynck |
| 2015 | SAFECOMP | A Model for Safety Case Confidence Assessment. | Jrmie Guiochet, Quynh Anh Do Hoang, Mohamed Kaniche |
| 2014 | SAFECOMP | Specifying Safety Monitors for Autonomous Systems Using Model-Checking. | Mathilde Machin, Fanny Dufoss, Jean-Paul Blanquart, Jrmie Guiochet, David Powell, Hlne Waeselynck |
| 2013 | Mobiquitous | Towards a Privacy Risk Assessment Methodology for Location-Based Systems. | Jesus Friginal, Jrmie Guiochet, Marc-Olivier Killijian |
| 2012 | PRDC | Safety Trigger Conditions for Critical Autonomous Systems. | Amina Mekki-Mokhtar, Jean-Paul Blanquart, Jrmie Guiochet, David Powell, Matthieu Roy |
| 2007 | DSN | Fault Tolerant Planning for Critical Robots. | Benjamin Lussier, Matthieu Gallien, Jrmie Guiochet, Flix Ingrand, Marc-Olivier Killijian, David Powell |
| 2003 | IROS | Integration of UML in human factors analysis for safety of a medical robot for tele-echography. | Jrmie Guiochet, Bertrand Tondu, Claude Baron |