Media type: E-Article Title: Trainable Filters for the Identification of Anomalies in Cosmogenic Isotope Data Contributor: Neocleous, Andreas; Azzopardi, George; Kuitems, Margot; Scifo, Andrea; Dee, Michael Published: Institute of Electrical and Electronics Engineers (IEEE), 2019 Published in: IEEE Access, 7 (2019), Seite 24585-24592 Language: Not determined DOI: 10.1109/access.2019.2900123 ISSN: 2169-3536 Keywords: General Engineering ; General Materials Science ; General Computer Science Origination: Footnote: Access State: Open Access