A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability. - Catalin Stoean; Leonard Ionescu; Ruxandra Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (IWANN (2), 2021)

A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. - Ruxandra Stoean; Leonard Ionescu; Catalin Stoean; Marinela Boicea; Miguel A. Atencia Ruiz; Gonzalo Joya (KES, 2021)

Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration. - Ruxandra Stoean; Nebojsa Bacanin; Leonard Ionescu; Marinela Boicea; Alina-Maria Garau; Cristina-Camelia Ghitescu (SYNASC, 2021)

Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts. - Ruxandra Stoean; Nebojsa Bacanin; Leonard Ionescu; Catalin Stoean; Marinela Boicea; Alina-Maria Garau; Cristina-Camelia Ghitescu (KES, 2022)