| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | ACASA |
| Publications SYEL | 2023 | 2024 | Total |
|---|---|---|---|
| Books | 0 | 0 | 0 |
| Edited books | 0 | 1 | 1 |
| Journal articles | 1 | 2 | 3 |
| Book chapters | 0 | 0 | 0 |
| Conference papers | 12 | 7 | 19 |
| Habilitations | 0 | 0 | 0 |
| Thesis | 4 | 2 | 6 |
- M. Abraham, S. Feruglio, Ah. Hamraoui, H. Talleb, V. Vivier, K. Ngo : “Determination of dielectric properties of mimicking biological tissues by electrochemical impedance spectroscopy”, 12th International Symposium on Electrochemical Impedance Spectroscopy (EIS2023), PĂ©kin, China [Abraham 2023]
- C. Del cistia Gallimard, K. Nikolajevic, F. Beroul, J. Denoulet, B. Granado, Ch. Marsala : “Direct Load Recognition to Estimate the Damper Load on the H175 Fleet”, European Rotorcraft Forum, BĂĽckeburg, Germany [Del cistia Gallimard 2023]
- J. Jouve, C. Del cistia Gallimard, K. Nikolajevic, H. Morel : “Estimation of confidence margins for Direct Load Recognition (DLR) using supervised and unsupervised machine learning”, Vertical Flight Society, West Palm Beach, Florida, United States [Jouve 2023]
- N. Mainard, S. Li, K. Messaoudene, F. Canavese, E. CharnacĂ©, R. VIALLE, S. Feruglio : “UtilitĂ© de la spectroscopie proche de l’infrarouge intra-opĂ©ratoire dans le prĂ©vention des lĂ©sions neurologiques lors de la prise en charge chirurgicale d’une dĂ©formation de la colonne vertĂ©brale. Etude prĂ©liminaire”, Congrès annuel de la SociĂ©tĂ© Française de Chirurgie Rachidienne - SFCR 2023, Amiens, France [Mainard 2023a]
- N. Mainard, S. Li, K. Messaoudene, F. Canavese, E. De CharnacĂ©, R. VIALLE, S. Feruglio : “UtilitĂ© de la spectroscopie proche de l'infrarouge intra-opĂ©ratoire dans le prĂ©vention des lĂ©sions neurologiques lors de la prise en charge chirurgicale d'une dĂ©formation de la colonne vertĂ©brale. Etude prĂ©liminaire”, Colloque en TĂ©lĂ©SANtĂ© et dispositifs biomĂ©dicaux, Aubervilliers, France [Mainard 2023b]
- R. Marsal, F. Chabot, A. Loesch, H. Sahbi : “BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow”, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, United States, pp. 2060-2069, (IEEE), (ISBN: 978-1-6654-9346-8) [Marsal 2023]
- J. Masini, R. Shahbaz, F. DESHOURS, G. Alquie, S. Feruglio, O. Meyer, D. Galayko, H. Kokabi, J.‑M. Davaine : “Capteur micro-ondes en vue du diagnostic mĂ©dical de l'athĂ©rosclĂ©rose”, 9ème Ă©dition des JournĂ©es d'Etude en TĂ©lĂ©SANtĂ© (JETSAN), Aubervilliers, France [Masini 2023]
- H. Sahbi : “MRMP: Multi-Rate Magnitude Pruning of Graph Convolutional Networks”, ES-FoMo Workshop at the International Conference on Machine Learning – ICML 2023, Honululu, United States [Sahbi 2023a]
- H. Sahbi : “Phase-field Models for Lightweight Graph Convolutional Networks”, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, Canada, pp. 4644-4650, (IEEE) [Sahbi 2023b]
- H. Sahbi, S. Deschamps : “ADVERSARIAL LABEL-EFFICIENT SATELLITE IMAGE CHANGE DETECTION”, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, United States, pp. 5794-5797, (IEEE) [Sahbi 2023c]
- H. Sahbi, S. Deschamps : “DEEP-NET INVERSION FOR FRUGAL SATELLITE IMAGE CHANGE DETECTION”, IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, United States, pp. 6470-6473, (IEEE) [Sahbi 2023d]
- S. Takougang : “Exploration des architectures reconfigurables avec l’outil Verilog-To-Routing (VTR)”, 17e Colloque du GDR SOC2, Lyon, France [Takougang 2023]