Items where NERC Author is "Walsh, Jo"

Hall, Alexander; Gillespie, Martin; Everett, Paul; Christodoulou, Vyron; Walsh, Jo. 2022 Machine learning applied to pore-space geometry in sandstones: a tool for evaluating grain-scale similarity? Quarterly Journal of Engineering Geology and Hydrogeology, 55 (1), qjegh2020-183. https://doi.org/10.1144/qjegh2020-183

Alzayer, Z.B.; Fellgett, M.W.; Christodoulou, Z.; Williams, C.; Walsh, J.; Kingdon, A. ORCID: https://orcid.org/0000-0003-4979-588X; Hier-Majumder, S. ORCID: https://orcid.org/0000-0002-2629-1729. 2019 Digital rock physics analysis of core integrity using deep neural networks and computer vision: MR23C-0124. [Other] In: AGU Fall Meeting 2019, San Francisco, Ca, USA, 9-13 Dec 2019. San Francisco, USA, American Geophysical Union.

Emmings, Joe ORCID: https://orcid.org/0000-0003-2084-0501; Walsh, Joanna; Condon, Daniel; Ross, Ian; Poulton, Simon; Peters, Shanan. 2019 Text mining reveals ocean redox events. [Lecture] In: The Micropalaeontology Society AGM 2019 Biostratigraphy: a 21st Century Science, British Geological Survey, Keyworth, 13-14 Nov. 2019. (Unpublished)

Nkisi-Orji, Ikechukwu; Walsh, Jo ORCID: https://orcid.org/0000-0003-0268-2263; Heaven, Rachel ORCID: https://orcid.org/0000-0002-6172-4809. Stratigraphic Named Entity Recognition with Stanford CoreNLP. British Geological Survey 2 November 2020, 10.5281/zenodo.4181488 [Output (Electronic)]