229 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IRT M2PFR9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Laboratoire de Mécanique et Génie CivilFR6 papers
- Université Montpellier 26 papers
- Institut de Mathématiques de ToulouseFR5 papers
- Institut Polytechnique de BordeauxFR5 papers
- Université de MontpellierFR5 papers
- Université Toulouse III - Paul SabatierFR5 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR4 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR4 papers
- Université Paris-SaclayFR4 papers
4 papers · 1 filter
Human Reliability Assessment method applied to investigate human factors in NDT -- The case of the interpretation of radiograms in the French nuclear sector
Justin Larouze, Etienne Martin, Pierre Calmon
This communication reports on a study carried out in the context of the collaborative FOEHN project (Human and Organizational Factors in Non-Destructive Evaluation) supported by th…
Exact and general decoupled solutions of the LMC Multitask Gaussian Process model
Olivier Truffinet, Karim Ammar, Jean-Philippe Argaud +1
The Linear Model of Co-regionalization (LMC) is a very general multitask gaussian process model for regression or classification. While its expressiveness and conceptual simplicity…
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Drew Linsley, Pinyuan Feng, Thibaut Boissin +4
Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to c…
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
Léo Andéol, Thomas Fel, Florence De Grancey +1
Deploying deep learning models in real-world certified systems requires the ability to provide confidence estimates that accurately reflect their uncertainty. In this paper, we dem…