Conference papers:
– S. Tabti, F. Vallée, D. Poon Shu Han, M. Elion, Y. Alouini, Automatisation de l’inspection de conteneurs maritimes : une preuve de concept, APIA’23
– B. L’Ollivier, S. Tabti, J. Budynek, Analyse de shifts dans des données industrielles de capteurs par AutoEncodeur Variationnel parcimonieux, EGC’2023 (English version, code)
– M. Elion, S. Tabti, J. Budynek, Interpretability of deep learning models for visual defect detection: a preliminary study, Confiance.ai days 2022 , flash presentation of the poster (starts at 20mn and 10secs)
– A. Pavao, I. Guyon, […], T. Lecerf, M. Elion, P. Le Bouteiller, S. Tabti, J. Budynek, Airplane_Numerical_Twin: A Time Series Regression Competition, ICMLA 2021 (output of Fieldbox participation -among others- to the Dassault challenge: AI for industry)
– B. L’Ollivier, S. Tabti, J. Budynek, Manifold exploration of industrial processes with Variational AutoEncoders, CaP 2021
– M. Elion, S. Tabti, J. Budynek, Prédiction séquence-à-séquence de séries temporelles multivariées et déséquilibrées avec des réseaux de neurones convolutifs, EGC 2021
– S. Tabti, L. Verdoliva, G. Poggi, Sparse-coding adapted to SAR images with an application to despeckling, IGARSS 2018
– S. Tabti, J. Rabin, A. Elmoataz, Symmetric upwind scheme for discrete weighted Total Variation, ICASSP 2018
– S. Tabti, J. Rabin, A. Elmoataz, Variation totale discrète en schéma décentré symétrique, GRETSI (national conference), 2017, matlab code
– S. Tabti, C-A. Deledalle, L. Denis, F. Tupin, Patch-based SAR image classification: the potential of modeling the statistical distribution of patches with Gaussian Mixtures, IGARSS 2015 (slides)
– S. Tabti, C-A. Deledalle, L. Denis, F. Tupin, Modeling the distribution of patches with shift-invariance: application to SAR image restoration, ICIP 2014 (slides)
– S. Tabti, C-A. Deledalle, L. Denis, F. Tupin, Building invariance properties for dictionaries of SAR image patches, IGARSS 2014 / 35th CSRS (slides)
Journal papers:
– C-A. Deledalle, L. Denis, S. Tabti, F. Tupin, MuLoG, or How to apply Gaussian denoisers to multi-channel SAR speckle reduction?, in IEEE Transactions for image processing, September 2017, supplementary material , webpage with code
Technical reports:
– S. Romano, N. Stanusch, M. Schueler, R. Angius, B. Cetin, S. Tabti et. al. Chatbots (S)elected moderation, July 2024
– M. Schueler, S. Romano, N. Stanusch, B. Cetin, S. Tabti et al., Exposing the use of generative AI imagery in the political campaigns of the 2024 french elections, July 2024
– Fabio Coppini, Yiye Jiang, Sonia Tabti, Predictive models on 1D signals in a small-data
environment (output of the work done during the « Semaine d’Etudes Maths Entreprise » on October 2020)
– Sonia Tabti, Luisa Verdoliva, Giovanni Poggi, Improving a new sparse-coding algorithm dedicated to SAR images with a coeffcient of variation map, 2018.
PhD dissertation in french (2016):