ZiMM: a deep learning model for long term adverse events with non-clinical claims data. - Emmanuel Bacry; Stéphane Gaïffas; Anastasiia Kabeshova; Yiyang Yu (CoRR, 2019)

ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data. - Anastasiia Kabeshova; Yiyang Yu; Bertrand Lukacs; Emmanuel Bacry; Stéphane Gaïffas (J. Biomed. Informatics, 2020)

Data Efficient Training of a U-Net Based Architecture for Structured Documents Localization. - Anastasiia Kabeshova; Guillaume Betmont; Julien Lerouge; Evgeny Stepankevich; Alexis Bergès (CoRR, 2023)

SDL-Net pour la Localisation de Documents Structurés : un U-Net économe en ressources. - Anastasiia Kabeshova; Guillaume Betmont; Julien Lerouge; Evgeny Stepankevich; Alexis Bergès (EGC, 2024)