Archive ouverte HAL

	Graph neural networks for water level modelling in floodplains: application to the Severn floodplain with HydroGCN Fadil Boodoo , Carole Delenne , Franco Alberto Cardillo , Joris Guérin , Renaud Hostache 2026 Autre publication scientifique hal-05557957v1

	A Unification of Machine Learning Runtime Monitoring Approaches Mathieu Dario , Florent Chenevier , Kevin Delmas , Joris Guérin , Jérémie Guiochet Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2026), Jul 2026, Montpellier, France Communication dans un congrès hal-05657268v1
	When Does Domain Specialization Matter ? Comparing Foundation Models Across Low-Data Regimes for Coral Annotation Célia Blondin , Joris Guérin , Laure Berti-Equille RFIAP (Reconnaissance des Formes, Image, Apprentissage et Perception), Jul 2026, Montpellier, France Communication dans un congrès hal-05682097v1
	Modélisation des hauteurs d’eau dans les plaines d’inondation avec les GNN Fadil Boodoo , Carole Delenne , Franco Alberto Cardillo , Joris Guérin , Renaud Hostache Congrès Eau & Intelligence Artificielle 2026, Mar 2026, Grenoble, France Communication dans un congrès hal-05507025v1
	Not Every Day is a Sunny Day: Synthetic Cloud Injection for Deep Land Cover Segmentation Robustness Evaluation Across Data Sources Sara Mobsite , Renaud Hostache , Laure Berti-Équille , Emmanuel Roux , Joris Guérin Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2025, Sep 2025, Porto, Portugal. pp.335-345, ⟨10.1007/978-3-032-19108-3_26⟩ Communication dans un congrès ird-05677083v1
	Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing Mathieu Dario , Florent Chenevier , Kevin Delmas , Joris Guerin , Jérémie Guiochet 28th International Conference on Pattern Recognition (ICPR 2026), Aug 2026, Lyon, France Communication dans un congrès hal-05592232v1
	Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources Sara Mobsite , Renaud Hostache , Laure Berti Equille , Emmanuel Roux , Joris Guerin Workshop on Machine Learning for Earth Observation (MACLEAN), In Conjunction with ECML/PKDD 2025, Sep 2025, Porto (Portugal), Portugal. ⟨10.48550/ARXIV.2510.03006⟩ Communication dans un congrès hal-05529023v1
	Leveraging Knowledge Graphs for Earth System Dataset Discovery Vincent Armant , Felipe Vargas-Rojas , Victoria Agazzi , Jean-Christophe Desconnets , Isabelle Mougenot et al. 23rd International Semantic Web Conference-ISWC-Annual, Nov 2024, Baltimore, United States. pp.271-288, ⟨10.1007/978-3-031-77847-6_15⟩ Communication dans un congrès hal-04823866v1
	Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully? Vincent Armant , Amira Mouakher , Felipe Vargas-Rojas , Danai Symeonidou , Joris Guérin et al. 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 Communication dans un congrès hal-04874325v1
	Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring Khoi Tran Dang , Kevin Delmas , Jérémie Guiochet , Joris Guérin Uncertainty in Artificial Intelligence (UAI), PMLR, Jul 2024, Barcelone, Spain Communication dans un congrès hal-04579393v1
	SENA: Similarity-based Error-checking of Neural Activations Raul Sena Ferreira , Joris Guerin , Jeremie Guiochet , Hélène Waeselynck 27th European Conference on Artificial Intelligence - ECAI 2023, Sep 2023, Krakow, Poland Communication dans un congrès hal-04212952v1
	Combining Two Adversarial Attacks Against Person Re-Identification Systems Eduardo Andrade , Igor Sampaio , Joris Guérin , José Viterbo 18th International Conference on Computer Vision Theory and Applications, Feb 2023, Lisbon, France. pp.437-444, ⟨10.5220/0011623800003417⟩ Communication dans un congrès hal-04381614v1
	Out-Of-Distribution Detection Is Not All You Need Joris Guérin , Kevin Delmas , Raul Ferreira , Jérémie Guiochet The 37th AAAI conference on artificial intelligence (2023), Feb 2023, Washington DC, United States. pp.14829-14837, ⟨10.1609/aaai.v37i12.26732⟩ Communication dans un congrès hal-03870531v2
	Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations Jose Huaman , Felix Sumari H. , Luigy Machaca , Esteban Clua , Joris Guérin 18th International Conference on Computer Vision Theory and Applications, Feb 2023, Lisbon, Portugal. pp.495-502, ⟨10.5220/0011633800003417⟩ Communication dans un congrès hal-04381636v1
	TrADe Re-ID – Live Person Re-Identification using Tracking and Anomaly Detection Luigy Machaca , F. Oliver Sumari H. , Jose Huaman , Esteban Clua , Joris Guerin 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), Dec 2022, Nassau, France. pp.449-454, ⟨10.1109/ICMLA55696.2022.00072⟩ Communication dans un congrès hal-04826818v1
	Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin , Raul Sena Ferreira , Kevin Delmas , Jérémie Guiochet 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022), Oct 2022, Charlotte, United States. ⟨10.1109/ISSRE55969.2022.00047⟩ Communication dans un congrès hal-03765273v1
	SiMOOD: Evolutionary Testing Simulation with Out-Of-Distribution Images Raul Sena Ferreira , Joris Guérin , Jérémie Guiochet , Hélène Waeselynck 27th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2022), Nov 2022, Beijing, China. ⟨10.1109/PRDC55274.2022.00021⟩ Communication dans un congrès hal-03779723v1
	Evaluation of Runtime Monitoring for UAV Emergency Landing Joris Guerin , Kevin Delmas , Jérémie Guiochet International Conference on Robotics and Automation (ICRA), May 2022, Philadelphie, United States Communication dans un congrès hal-03600856v1
	Optimisation conjointe du contenu sémantique et du temps d'exécution pour une tâche robotisée de saisie d'objet Frédéric Lerasle , Joris Guérin , Kimberley Gaume Reconnaissance des Formes, Images, Apprentissage et Perception (RFIAP), Jul 2022, Vannes (Bretagne), France Communication dans un congrès hal-04490461v1
	Certifying Emergency Landing for Safe Urban UAV Joris Guérin , Kevin Delmas , Jérémie Guiochet 7th 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⟩ Communication dans un congrès hal-03213534v1
	A Novel Method for Object Detection using Deep Learning and CAD Models. Igor Garcia Ballhausen Sampaio , Luigy Machaca , Jose Viterbo , Joris Guérin 23rd International Conference on Enterprise Information Systems (ICEIS2021), Apr 2021, Online, Portugal Communication dans un congrès hal-03213496v1
	Improving Image Clustering With Multiple Pretrained CNN Feature Extractors Joris Guérin , Byron Boots British Machine Vision Conference 2018, BMVC 2018, Sep 2018, Newcastle, United Kingdom Communication dans un congrès hal-03153633v1
	Semantically Meaningful View Selection Joris Guérin , Olivier Gibaru , Eric Nyiri , Stephane Thieryl , Byron Boots 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2018, Madrid, France. pp.1061-1066, ⟨10.1109/IROS.2018.8593524⟩ Communication dans un congrès hal-05245277v1
	CNN Features are also Great at Unsupervised Classification Joris Guérin , Olivier Gibaru , Stéphane Thiery , Eric Nyiri 8th International Conference on Computer Science, Engineering and Applications, Feb 2018, Melbourne, Australia. pp.83-95, ⟨10.5121/csit.2018.80308⟩ Communication dans un congrès hal-03153610v1

	Large-scale streamflow regionalization in ungauged West African catchments: How do classical and deep learning approaches compare? Yves Tramblay , Serigne Bassirou Diop , Fadilath Kate , Issam Souassi , Bastien Dieppois et al. EGU General Assembly 2026, May 2026, Vienna, Austria. 2026, ⟨10.5194/egusphere-egu26-1536⟩ Poster de conférence hal-05567994v1
	Runtime Monitoring for Safety-Critical Vision-based Runway Detection Mathieu Dario , Florent Chenevier , Kevin Delmas , Joris Guérin , Jérémie Guiochet ANITI Days 2026 - Poster Session, Feb 2026, Toulouse, France Poster de conférence hal-05519080v1
	Runtime Monitoring for AI-based Systems: An application to runway detection Mathieu Dario , Florent Chenevier , Kevin Delmas , Joris Guérin , Jérémie Guiochet GT IASIV -- Thematic Seminar Poster Session, Dec 2025, Gif-sur-Yvette, Supélec, Paris, France. 2025 Poster de conférence hal-05519067v1

	Enhancing land cover semantic segmentation with convolutional block attention modules and deep supervision Sara Mobsite , Renaud Hostache , Laure Berti-Équille , Emmanuel Roux , Thibault Catry et al. Artificial Intelligence in Geosciences, 2026, 7 (2), pp.100222. ⟨10.1016/j.aiig.2026.100222⟩ Article dans une revue hal-05646995v1
	Assessing joint effects of sampling design and annotation quality on benthic cover estimates through Monte Carlo simulations Joris Guerin , Guilherme Longo , Regina Nobre , Célia Blondin , Laure Berti-Equille et al. Ecological Informatics, 2026, 95, pp.103784. ⟨10.1016/j.ecoinf.2026.103784⟩ Article dans une revue hal-05685407v1
	Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira , Joris Guérin , Kevin Delmas , Jérémie Guiochet , Hélène Waeselynck Computational Intelligence, 2025, 41 (2), ⟨10.1111/coin.70032⟩ Article dans une revue hal-04830599v1
	Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions? Fadil Boodoo , Renaud Hostache , Nadia Skifa , Joris Guerin , Carole Delenne Modeling Earth Systems and Environment, 2025, 11 (2), pp.128. ⟨10.1007/s40808-025-02316-z⟩ Article dans une revue hal-04965634v1
	Addressing data imbalance in urban informal settlement mapping from earth observation using ensemble learning: A case study in Rio de Janeiro Thomas Hallopeau , Youssef Fouzai , Laurent Demagistri , Joris Guérin , Vanderlei Pascoal de Matos et al. Science of Remote Sensing, 2025, 12, pp.100273. ⟨10.1016/j.srs.2025.100273⟩ Article dans une revue hal-05337270v1
	Adversarial attacks and defenses in person search: A systematic mapping study and taxonomy Eduardo de O. Andrade , Joris Guérin , José Viterbo , Igor Garcia Ballhausen Sampaio Image and Vision Computing, 2024, 148, 105096 [14 p.]. ⟨10.1016/j.imavis.2024.105096⟩ Article dans une revue hal-04826807v1
	Improving robustness of industrial object detection by automatic generation of synthetic images from CAD models Igor Garcia Ballhausen Sampaio , José Viterbo , Joris Guerin Computational Intelligence, 2023, 39 (3), pp.415-432. ⟨10.1111/coin.12572⟩ Article dans une revue hal-04269812v1

	SPATIALLY-CONSTRAINED CLUSTERING OF GEOSPATIAL FEATURES FOR HEAT VULNERABILITY ASSESSMENT OF FAVELAS IN RIO DE JANEIRO Baptiste Clemence , Thomas Hallopeau , Vanderlei Pascoal de Matos , Laurent Demagistri , Joris Guérin 2026 Pré-publication, Document de travail hal-05667828v1
	VIBES - Vision Backbone Efficient Selection Joris Guerin , Shray Bansal , Amirreza Shaban , Paulo Mann , Harshvardhan Gazula 2024 Pré-publication, Document de travail hal-04826789v1

	A Quick Guide to Design Rigorous Machine Learning Experiments Joris Guérin 2023 Article de blog scientifique hal-04826798v1

	Epidemiology Forecasting of COVID-19 Using AI—A Survey Igor Gadelha Pereira , Andouglas Gonçalves da Silva Junior , Dunfrey Pires Aragão , Emerson Vilar de Oliveira , Arthur Andrade Bezerra et al. Computational 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⟩ Chapitre d'ouvrage hal-04826834v1

	Machine learning improvements for robotic applications in industrial context: Case study of autonomous sorting Joris Guérin Machine Learning [cs.LG]. École Nationale Supérieure d'Arts et Métiers, 2018. English. ⟨NNT : ⟩ Thèse tel-03096508v1
	Méthodes d'apprentissage automatique pour des applications robotiques dans un contexte industriel : étude de cas du tri robotisé Joris Guerin Signal and Image processing. École Nationale Supérieure des Arts et Métiers, 2018. English. ⟨NNT : 2018ENAM0045⟩ Thèse tel-04351493v1

Joris Guerin

Publications

Publications

Graph neural networks for water level modelling in floodplains: application to the Severn floodplain with HydroGCN

A Unification of Machine Learning Runtime Monitoring Approaches

When Does Domain Specialization Matter ? Comparing Foundation Models Across Low-Data Regimes for Coral Annotation

Modélisation des hauteurs d’eau dans les plaines d’inondation avec les GNN

Not Every Day is a Sunny Day: Synthetic Cloud Injection for Deep Land Cover Segmentation Robustness Evaluation Across Data Sources

Unifying Runtime Monitoring Approaches for Safety-Critical Machine Learning: Application to Vision-Based Landing

Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources

Leveraging Knowledge Graphs for Earth System Dataset Discovery

Can Knowledge Graphs and Retrieval-Augmented Generation be combined to Explain Query/Answer Relationships Truthfully?

Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring

SENA: Similarity-based Error-checking of Neural Activations

Combining Two Adversarial Attacks Against Person Re-Identification Systems

Out-Of-Distribution Detection Is Not All You Need

Benchmarking Person Re-Identification Datasets and Approaches for Practical Real-World Implementations

TrADe Re-ID – Live Person Re-Identification using Tracking and Anomaly Detection

Unifying Evaluation of Machine Learning Safety Monitors

SiMOOD: Evolutionary Testing Simulation with Out-Of-Distribution Images

Evaluation of Runtime Monitoring for UAV Emergency Landing

Optimisation conjointe du contenu sémantique et du temps d'exécution pour une tâche robotisée de saisie d'objet

Certifying Emergency Landing for Safe Urban UAV

A Novel Method for Object Detection using Deep Learning and CAD Models.

Improving Image Clustering With Multiple Pretrained CNN Feature Extractors

Semantically Meaningful View Selection

CNN Features are also Great at Unsupervised Classification

Large-scale streamflow regionalization in ungauged West African catchments: How do classical and deep learning approaches compare?

Runtime Monitoring for Safety-Critical Vision-based Runway Detection

Runtime Monitoring for AI-based Systems: An application to runway detection

Enhancing land cover semantic segmentation with convolutional block attention modules and deep supervision

Assessing joint effects of sampling design and annotation quality on benthic cover estimates through Monte Carlo simulations

Safety Monitoring of Machine Learning Perception Functions: a Survey

Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions?

Addressing data imbalance in urban informal settlement mapping from earth observation using ensemble learning: A case study in Rio de Janeiro

Adversarial attacks and defenses in person search: A systematic mapping study and taxonomy

Improving robustness of industrial object detection by automatic generation of synthetic images from CAD models

SPATIALLY-CONSTRAINED CLUSTERING OF GEOSPATIAL FEATURES FOR HEAT VULNERABILITY ASSESSMENT OF FAVELAS IN RIO DE JANEIRO

VIBES - Vision Backbone Efficient Selection

A Quick Guide to Design Rigorous Machine Learning Experiments

Epidemiology Forecasting of COVID-19 Using AI—A Survey

Machine learning improvements for robotic applications in industrial context: Case study of autonomous sorting

Méthodes d'apprentissage automatique pour des applications robotiques dans un contexte industriel : étude de cas du tri robotisé