Publications

Articles in peer-reviewed journals

  • M. Bouchereau, P. Chartier, M. Lemou, and F. Méhats, “Machine learning methods for autonomous ordinary differential equations,” Communications in Mathematical Sciences, 2025.
  • A. Disdier, D. Masson, M. Jankovic, and G.-A. Boy, “Defining and characterizing the operational context for human systems integration,” Systems Engineering, vol. 27, no. 6, pp. 1103–1115, 2024. DOI: 10.1002/sys.21775.
  • R. Malinowski, E. Sarrazin, L. Dumas, E. Dubois, and S. Destercke, “Robust confidence intervals in stereo matching using possibility theory,” arXiv preprint arXiv:2404.06273, 2024. DOI: https://doi.org/10.48550/arXiv.2404.06273.
  • M. Mottier, G. Chardon, and F. Pascal, “Deinterleaving radar emitters with optimal transport distances,” IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 3, pp. 3639–3651, Jun. 2024, ISSN: 1557-9603. DOI: 10.1109/TAES. 2024.3367287.
  • D. Youssefi, D. Derksen, D. Migel-Arachchige, J. Siefert, L. Dumas, and J. Guinet, “Geometrically guided and confidence-based point cloud denoising,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 48, pp. 149–155, 2024. DOI: https://doi.org/10.5194/isprsarchives-XLVIII-4-W12-2024-149-2024.
  • M. David and F. Méhats, “Symplectic learning for hamiltonian neural networks,” Journal of Computational Physics, vol. 494, p. 112 495, 2023.
  • A. Disdier, D. Masson, T. Brethomé, M. Jankovic, and G.-A. Boy, “Toward a human systems integration approach to the design and operation of a remote and virtual air traffic control center,” Proceedings of the Design Society, vol. 3, pp. 3561–3570, 2023. DOI: 10.1017/pds.2023.357.
  • C. Iphar and A.-L. Jousselme, “A geometry-based fuzzy approach for long-term association of vessels to maritime routes,” Ocean Engineering, vol. 281, no. 114755, Aug. 2023. DOI: 10.1016/j.oceaneng.2023.114755.
  • P. Kowalski and A.-L. Jousselme, “Context-awareness for information correction and reasoning in evidence theory,” International Journal of Approximate Reasoning, vol. 153, pp. 29–48, Feb. 2023. DOI: 10.1016/j.ijar.2022.11.009.
  • I. Almuslimani, P. Chartier, M. Lemou, and F. Méhats, “Uniformly accurate schemes for drift-oscillatory stochastic differential equations,” Applied Numerical Mathematics, vol. 181, pp. 468–482, 2022.
  • P. Chartier, M. Lemou, F. Méhats, and X. Zhao, “Derivative-free high-order uniformly accurate schemes for highly oscillatory systems,” IMA Journal of Numerical Analysis, vol. 42, no. 2, pp. 1623–1644, 2022.
  • L. Dumas, V. Defonte, Y. Steux, and E. Sarrazin, “Improving pairwise dsm with 3sgm: a semantic segmentation for sgm using an automatically refined neural network,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 2, pp. 167–175, 2022. DOI: https://doi.org/10.5194/isprsannals-V-2-2022-167-2022.
  • N. Imperatore and L. Dumas, “Contribution of super resolution to 3d reconstruction from pairs of satellite images,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 2, pp. 61–68, 2022. DOI: https://doi.org/10.5194/isprs-annals-V-2-2022-61-2022.
  • B. Pannetier, J. Dezert, J. Moras, and R. Levy, “Wireless sensor network for tactical situation assessment,” IEEE Sensors Journal, vol. 22, no. 1, pp. 1051–1062, Jan. 2022, ISSN: 1558-1748. DOI: 10.1109/JSEN.2021.3129181.
  • M. Roux and L. Dumas, “Building segmentation based on stereo information from satellite images,” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 2, pp. 299–306, 2022.

Conferences with proceedings

  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Homomorphic sign evaluation with a rns representation of integers,” in International Conference on the Theory and Application of Cryptology and Information Security, Springer, 2025, pp. 271–296.
  • A. Akli, A.-L. Jousselme, E. Quillerou, and F. Pichon, “Un modèle évidentiel pour l’analyse des hypothèses concurrentes,” in Rencontres Francophones sur la Logique Floue et ses Applications, LFA 2024, Brest, France: Cépaduès, 2024, pp. 107–111.
  • A. Disdier, D. Masson, T. Brethomé, M. Jankovic, and G.-A. Boy, “A context acquisition methodology for the design of complex sociotechnical systems,” in IEA/INCOSE Human Systems Integration Conference 2024 (HSI2024), Jeju, South Korea, 2024.
  • A.-L. Jousselme, P. C. Costa, A. Akli, and G. Arcieri, “A model for an imperfect knowledge base for high-level information fusion experiments,” in 27th International Conference on Information Fusion (FUSION), Venice, Italy, Jul. 2024. DOI: 10 .23919/FUSION59988.2024.10706308.
  • A.-L. Jousselme and B. Pannetier, “From tactical picture to situation assessment evaluation: a cuas illustration,” in 27th International Conference on Information Fusion (FUSION), Venice, Italy, Jul. 2024. DOI: 10.23919/FUSION59988.2024.10706348.
  • K. Larnier, J. Coves, G. Stéphan, P. Delporte, L. Dumas, and Y. Boulfani, “Urban flash flood prediction through high-resolution hydrodynamic modeling and machine learning approaches,” in IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, IEEE, 2024, pp. 3757–3760. DOI: https://doi.org/10.1109/IGARSS53475.2024.10641091.
  • R. Malinowski, E. Sarrazin, E. Dubois, L. Dumas, and S. Destercke, “Robust confidence intervals for digital surface models using satellite photogrammetry,” in IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, IEEE, 2024, pp. 8741–8744. DOI: https://doi.org/10.1109/IGARSS53475.2024.10642890.
  • P. Pathé, B. Pannetier, and O. Bartheye, “Advancing the detection of abnormal drone behaviors: a dynamic bayesian network approach enhanced by the belief function machine,” in 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), IEEE, Sep. 2024, pp. 1–6. DOI: 10.1109/MFI62651.2024.10705776.
  • P. Pathé, B. Pannetier, and O. Bartheye, “Enhancing drone abnormal behavior detection using data fusion techniques and dynamic bayesian network methods,” in Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, vol. 13057, SPIE, Jun. 2024, pp. 128–149. DOI: 10.1117/12.3013718.
  • E. Blasch, A.-L. Jousselme, P. de Villiers, et al., “URREF risk analysis towards data fusion certification,” in Proc. of the Int. conference of Information Fusion, Charleston, South Carolina, Jun. 2023. DOI: 10.23919/FUSION52260.2023.10224171.
  • S. Guilluy, F. Méhats, and B. Chouli, “Constituency tree representation for argument unit recognition,” in Proceedings of the 10th Workshop on Argument Mining, 2023, pp. 35–44.
  • A.-L. Jousselme, P. de Villiers, A. de Freitas, et al., “Uncertain about ChatGPT: enabling the uncertainty evaluation of large language models,” in Proc. of the Int. conference of Information Fusion, Charleston, South Carolina, Jun. 2023. DOI: 10.23919/FUSION52260.2023.10224086.
  • P. Kowalski, A.-L. Jousselme, and T. Wickramarathne, “Sequential source selection based on evidential value of information,” in Proc. of the Int. conference of Information Fusion, Charleston, South Carolina, Jun. 2023. DOI: 10.23919/FUSION52260.2023.10224132.
  • T. Laborde, A. Gensse, P. Chartier, et al., “Application du chiffrement fonctionnel sur données confidentielles pour la conception de modèles d’apprentissage automatique,” in Conference on Artificial Intelligence for Defense, 2023.
  • R. Malinowski, S. Destercke, E. Dubois, L. Dumas, and E. Sarrazin, “Uncertainty propagation using copulas in a 3d stereo matching pipeline,” in International Symposium on Imprecise Probability: Theories and Applications, PMLR, 2023, pp. 288–298. DOI: https://doi.org/10.1016/j.ijar.2024.109191.
  • B. Pannetier and A.-L. Jousselme, “Evaluation of counter unmanned aerial systems through the levels,” in Proc. of the Int. conference of Information Fusion, Charleston, South Carolina, Jun. 2023. DOI: 10.23919/FUSION52260.2023.10224153.
  • G. Vaudaux-Ruth, B. Pannetier, V. Marié, et al., “A comparative study of joint video tracking and classification for countering unmanned aerial vehicles,” in Automatic Target Recognition XXXIII, R. I. Hammoud, T. L. Overman, and A. Mahalanobis, Eds., International Society for Optics and Photonics, vol. 12521, SPIE, 2023, 125210J. DOI: 10.1117/12.2663743. [Online]. Available: https://doi.org/10.1117/12.2663743.
  • L. Gardenal, Y. Hurtaud, E. Mandine, R. Delzers, C. Dewé-Depelchin, and J. Arsault, “Impact spatio-temporel de l’environnement pour la prévision des performances radar,” in Journées ENVIREM, ONERA (France), Oct. 2022.
  • L. Guerlin, B. Pannetier, M. Rombaut, D. Poullin, and P. Dorey, “Détection et suivi de groupes de drones avec un radar passif,” in 28 Colloque sur le traitement du signal et des images, Nancy: GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Sep. 2022, p. 1277–1280.
  • M. Mottier, G. Chardon, and F. Pascal, “Désentrelacement et classification de signaux RADAR basés sur des distances de transport optimal,” in GRETSI 2022 – XXIIXème Colloque Francophone de Traitement du Signal et des Images, Nancy, France, Sep. 2022. [Online]. Available: https://hal.science/hal-03851279.
  • M. Mottier, G. Chardon, and F. Pascal, “D´esentrelacement et classification des émetteurs RADARs basés sur l’utilisation des distances de Transport Optimal,” in Conference on Artificial Intelligence for Defense, ser. Actes de la 4ème Conference on Artificial Intelligence for Defense (CAID 2022), DGA Maîtrise de l’Information, Rennes, France, Nov. 2022. [Online]. Available: https://hal.science/hal-03881736.
  • M. Mottier, G. Chardon, and F. Pascal, “Radar emitter classification with optimal transport distances,” in 2022 30th European Signal Processing Conference (EUSIPCO), Aug. 2022, pp. 1871–1875. DOI: 10.23919/EUSIPCO55093.2022.9909967.
  • O. Tran, A.-L. Jousselme, G. Tedeschi, and L. Gardenal, “Contextual fusion of classifiers under variable atmospheric conditions for coastal surveillance,” in International Conference on Computational Science and Computational Intelligence (CSCI), Dec. 2022. DOI: 10.1109/CSCI58124.2022.00073.

Patents

  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé d’extraction d’un élément chiffré homomorphe d’une liste chiffrée homomorphe et procédé d’insertion d’un élément chiffré homomorphe dans une liste chiffrée homomorphe,”WO2024261250, FR3150381, 2024.
  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé de détermination d’un message chiffré, procédé de rafraîchissement, d’extraction et d’agrégation associés,” WO2024261248, FR3150380, 2024.
  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé de rafraîchissement d’un message chiffré pour la cryptographie homomorphe et méthode de cryptographie homomorphe,” WO2024184144, FR3146383, 2024.
  • M. Mottier, G. Chardon, and F. Pascal, “Method for deinterleaving radar pulses,” Utility patent 23305059.0, Filed on January 1, 2023, and issued on January 15, 2024, Jan. 2024.
  • M. Mottier, G. Chardon, and F. Pascal, “Method for identifying a radar transmitter and associated identification system,” Utility patent 23305384.2, Filed on January 1, 2023, and issued on January 15, 2024, Mar. 2024.
  • J.-B. Rouquier, P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé pour détecter la présence d’un élément chiffré homomorphe dans un ensemble chiffré homomorphe,” WO2024261249, FR3150382, 2024.
  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé de détermination homomorphe du signe d’un message par dilatation, procédés et dispositifs associés,” WO2023242429, FR3136920, 2023.
  • P. Chartier, M. Koskas, M. Lemou, and F. Méhats, “Procédé de chiffrement homomorphe et dispositifs et système associés,” WO2022129979, EP4264871, 2022.

Theses and HDR

  • M. Mottier, “Optimal Transport : an application to the RADAR Recognition Process for deinterleaving RADAR pulses and identifying emitter,” Theses, Université Paris-Saclay, Jun. 2024. [Online]. Available: https://theses.hal.science/tel-04653381.
  • A.-L. Jousselme, “Fusion d’information sous incertitude dans un contexte de renseignement pluridisciplinaire : diversité et unité,” Habilitation à diriger des recherches (HdR), Université d’Artois, Oct. 2023.
  • B. Pannetier, “Contributions à la fusion de données : application à la tenue de situation tactique,” Habilitation à diriger des recherches (HdR), Institut Polytechnique de Paris, Apr. 2022.

Books

  • Y. Bi, A.-L. Jousselme, and T. Denoeux, Eds., Belief Functions: Theory and Applications, 8th International Conference, BELIEF 2024, Belfast, UK, vol. 14909, LNCS, Sep. 2024. DOI: 10.1007/978-3-031-67977-3.

Book chapters

  • A. Disdier, “The operational context of remote air traffic control centers,” in The Handbook of Socio-Technical Systems: A Human Systems Integration Approach, CRC Press, 2025.

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