Joris Guerin
Publications
Publications
Graph neural networks for water level modelling in floodplains: application to the Severn floodplain with HydroGCN2026 |
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Runtime Monitoring for Safety-Critical Vision-based Runway DetectionANITI Days 2026 - Poster Session, Feb 2026, Toulouse, France |
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Runtime Monitoring for AI-based Systems: An application to runway detectionGT IASIV -- Thematic Seminar Poster Session, Dec 2025, Gif-sur-Yvette, Supélec, Paris, France |
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Modélisation des hauteurs d’eau dans les plaines d’inondation avec les GNNCongrès Eau & Intelligence Artificielle 2026, Mar 2026, Grenoble, France |
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Leveraging Knowledge Graphs for Earth System Dataset DiscoveryInternational Semantic Web Conference, Nov 2024, Baltimore, United States. pp.271-288, ⟨10.1007/978-3-031-77847-6_15⟩ |
Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sourcesWorkshop on Machine Learning for Earth Observation (MACLEAN), In Conjunction with ECML/PKDD 2025, Sep 2025, Porto (Portugal), Portugal. ⟨10.48550/ARXIV.2510.03006⟩ |
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Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network MonitoringUncertainty in Artificial Intelligence (UAI), PMLR, Jul 2024, Barcelone, Spain |
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Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?DAO-XAI 2024 Data meets Ontologies in Explainable AI co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Roberto Confalonieri; Oliver Kutz; Diego Calvanese; Dagmar Gromann; Andreas Holzinger, Oct 2024, Santiago de Compostela, Spain. 7p |
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Out-Of-Distribution Detection Is Not All You NeedThe 37th AAAI conference on artificial intelligence (2023), Feb 2023, Washington DC, United States. pp.14829-14837, ⟨10.1609/aaai.v37i12.26732⟩ |
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Combining Two Adversarial Attacks Against Person Re-Identification Systems18th International Conference on Computer Vision Theory and Applications, Feb 2023, Lisbon, France. pp.437-444, ⟨10.5220/0011623800003417⟩ |
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SENA: Similarity-based Error-checking of Neural Activations27th European Conference on Artificial Intelligence - ECAI 2023, Sep 2023, Krakow, Poland |
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Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations18th International Conference on Computer Vision Theory and Applications, Feb 2023, Lisbon, Portugal. pp.495-502, ⟨10.5220/0011633800003417⟩ |
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Unifying Evaluation of Machine Learning Safety Monitors33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022), Oct 2022, Charlotte, United States. ⟨10.1109/ISSRE55969.2022.00047⟩ |
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SiMOOD: Evolutionary Testing Simulation with Out-Of-Distribution Images27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2022), Nov 2022, Beijing, China. ⟨10.1109/PRDC55274.2022.00021⟩ |
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Evaluation of Runtime Monitoring for UAV Emergency LandingInternational Conference on Robotics and Automation (ICRA), May 2022, Philadelphie, United States |
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TrADe Re-ID – Live Person Re-Identification using Tracking and Anomaly Detection2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022, Nassau, France. pp.449-454, ⟨10.1109/ICMLA55696.2022.00072⟩ |
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Optimisation conjointe du contenu sémantique et du temps d'exécution pour une tâche robotisée de saisie d'objetReconnaissance des Formes, Images, Apprentissage et Perception (RFIAP), Jul 2022, Vannes (Bretagne), France |
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A Novel Method for Object Detection using Deep Learning and CAD Models.23rd International Conference on Enterprise Information Systems (ICEIS2021), Apr 2021, Online, Portugal |
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Certifying Emergency Landing for Safe Urban UAV7th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2021) at IEEE/IFIP Intern. Conf. on Dependable Systems and Networks (DSN), Jun 2021, Taipei, Taiwan. ⟨10.1109/DSN-W52860.2021.00020⟩ |
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Semantically Meaningful View Selection2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2018, Madrid, France. pp.1061-1066, ⟨10.1109/IROS.2018.8593524⟩ |
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Improving Image Clustering With Multiple Pretrained CNN Feature ExtractorsBritish Machine Vision Conference 2018, BMVC 2018, Sep 2018, Newcastle, United Kingdom |
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CNN Features are also Great at Unsupervised Classification8th International Conference on Computer Science, Engineering and Applications, Feb 2018, Melbourne, Australia. pp.83-95, ⟨10.5121/csit.2018.80308⟩ |
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VIBES - Vision Backbone Efficient Selection2024 |
A Quick Guide to Design Rigorous Machine Learning Experiments2023 |
Epidemiology Forecasting of COVID-19 Using AI—A SurveyComputational Intelligence for COVID-19 and Future Pandemics, Springer Singapore, pp.89-120, 2022, Disruptive Technologies and Digital Transformations for Society 5.0, 978-981-16-3782-7. ⟨10.1007/978-981-16-3783-4_5⟩ |
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Méthodes d'apprentissage automatique pour des applications robotiques dans un contexte industriel : étude de cas du tri robotiséSignal and Image processing. École Nationale Supérieure des Arts et Métiers, 2018. English. ⟨NNT : 2018ENAM0045⟩ |
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Machine learning improvements for robotic applications in industrial context: Case study of autonomous sortingMachine Learning [cs.LG]. École Nationale Supérieure d'Arts et Métiers, 2018. English. ⟨NNT : ⟩ |