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Orla M. Doyle
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2020 – today
- 2022
- [i1]Ozge Yasar, Patrick Long, Brett Harder, Hanna Marshall, Sanjay Bhasin, Suyin Lee, Mark Delegge, Stephanie Roy, Orla M. Doyle, Nadejda Leavitt, John Rigg:
Machine learning using longitudinal prescription and medical claims for the detection of nonalcoholic steatohepatitis (NASH). CoRR abs/2203.03365 (2022) - 2021
- [c4]Aidan Cooper, Orla M. Doyle, Alison Bourke:
Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology. PKDD/ECML Workshops (2) 2021: 408-422 - 2020
- [c3]Shaun Gupta, Frederik Dieleman, Patrick Long, Orla M. Doyle, Nadejda Leavitt:
Using SNOMED to automate clinical concept mapping. CHIL 2020: 131-138
2010 – 2019
- 2017
- [j5]Angie A. Kehagia, Rong Ye, Dan W. Joyce, Orla M. Doyle, James B. Rowe, Trevor W. Robbins:
Parsing the Roles of the Frontal Lobes and Basal Ganglia in Task Control Using Multivoxel Pattern Analysis. J. Cogn. Neurosci. 29(8): 1390-1401 (2017) - 2015
- [j4]Andriy Temko, Orla M. Doyle, Deirdre Murray, Gordon Lightbody, Geraldine B. Boylan, William P. Marnane:
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy. Comput. Biol. Medicine 63: 169-177 (2015) - 2014
- [j3]Andre F. Marquand, Michael J. Brammer, Steven C. R. Williams, Orla M. Doyle:
Bayesian multi-task learning for decoding multi-subject neuroimaging data. NeuroImage 92: 298-311 (2014) - [c2]Andre F. Marquand, Steven C. R. Williams, Orla M. Doyle, Maria João Duarte Rosa:
Full Bayesian multi-task learning for multi-output brain decoding and accommodating missing data. PRNI 2014: 1-4 - 2013
- [j2]Orla M. Doyle, John Ashburner, Fernando O. Zelaya, Stephen C. R. Williams, Mitul A. Mehta, Andre F. Marquand:
Multivariate decoding of brain images using ordinal regression. NeuroImage 81: 347-357 (2013) - [j1]Orla M. Doyle, Krasimira Tsaneva-Atanasova, James Michael Harte, Paul A. Tiffin, Peter Tiño, Vanessa Díaz-Zuccarini:
Bridging Paradigms: Hybrid Mechanistic-Discriminative Predictive Models. IEEE Trans. Biomed. Eng. 60(3): 735-742 (2013) - 2011
- [c1]Orla M. Doyle, Mitul A. Mehta, Michael J. Brammer, Adam J. Schwarz, Sara De Simoni, Andre F. Marquand:
Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning. MLINI 2011: 210-217
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last updated on 2024-12-08 01:26 CET by the dblp team
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