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Philip J. Moriarty
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2020 – today
- 2021
- [j4]Steff Farley
, Jo E. A. Hodgkinson, Oliver M. Gordon
Improving the segmentation of scanning probe microscope images using convolutional neural networks. Mach. Learn. Sci. Technol. 2(1): 15015 (2021) - [j3]Philip Ball, T. Benjamin Britton
Gender issues in fundamental physics: Strumia's bibliometric analysis fails to account for key confounders and confuses correlation with causation. Quant. Sci. Stud. 2(1): 263-272 (2021) - [i4]Philip Ball, T. Benjamin Britton, Erin Hengel, Philip J. Moriarty, Rachel A. Oliver, Gina Rippon, Angela Saini, Jessica Wade:
Gender issues in fundamental physics: Strumia's bibliometric analysis fails to account for key confounders and confuses correlation with causation. CoRR abs/2106.15255 (2021) - 2020
- [j2]Oliver M. Gordon
Embedding human heuristics in machine-learning-enabled probe microscopy. Mach. Learn. Sci. Technol. 1(1): 15001 (2020) - [j1]Oliver M. Gordon
Machine learning at the (sub)atomic scale: next generation scanning probe microscopy. Mach. Learn. Sci. Technol. 1(2): 23001 (2020) - [i3]Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon, Joanna Turner, Andrea Soltoggio, Philip J. Moriarty, Eugénie Hunsicker:
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks. CoRR abs/2008.12371 (2020)
2010 – 2019
- 2019
- [i2]Oliver M. Gordon, P. D'Hondt, L. Knijff, S. Freeney, Filipe L. Q. Junqueira, Philip J. Moriarty, I. Swart:
Scanning Probe State Recognition With Multi-Class Neural Network Ensembles. CoRR abs/1903.09101 (2019) - [i1]Oliver M. Gordon, Filipe L. Q. Junqueira, Philip J. Moriarty:
Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy. CoRR abs/1907.13401 (2019)
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