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 Atencia, Gonzalo Joya. 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. In Ignacio Rojas, Gonzalo Joya, Andreu Català, editors, Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part II. Volume 12862 of Lecture Notes in Computer Science, pages 260-271, Springer, 2021. [doi]