Explaining Defect Detection with Saliency Maps. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada (IEA/AIE (2), 2021)

Profiling the real world potential of neural network compression. - Joe Lorentz; Assaad Moawad; Thomas Hartmann 001; Djamila Aouada (COINS, 2022)

Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; Djamila Aouada (COINS, 2023)

CalcGraph: taming the high costs of deep learning using models. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada; Yves Le Traon (Softw. Syst. Model., 2023)

An AI pipeline for garment price projection using computer vision. - Rodrigo Rico Gómez; Joe Lorentz; Thomas Hartmann 001; Arda Goknil; Inder Pal Singh; Tayfun Gökmen Halaç; Gülnaz Boruzanli Ekinci (Neural Comput. Appl., 2024)