Allan Tucker
Cited by
Cited by
Estimating uncertainty and interpretability in deep learning for coronavirus (COVID-19) detection
B Ghoshal, A Tucker
arXiv preprint arXiv:2003.10769, 2020
Consensus clustering and functional interpretation of gene-expression data
S Swift, A Tucker, V Vinciotti, N Martin, C Orengo, X Liu, P Kellam
Genome biology 5, 1-16, 2004
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
A Tucker, Z Wang, Y Rotalinti, P Myles
NPJ digital medicine 3 (1), 1-13, 2020
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation
M Scutari, C Vitolo, A Tucker
Statistics and Computing 29, 1095-1108, 2019
Structure and function in glaucoma: the relationship between a functional visual field map and an anatomic retinal map
NG Strouthidis, V Vinciotti, AJ Tucker, SK Gardiner, DP Crabb, ...
Investigative ophthalmology & visual science 47 (12), 5356-5362, 2006
Variable grouping in multivariate time series via correlation
A Tucker, S Swift, X Liu
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001
Stochastic dynamic modeling of short gene expression time-series data
Z Wang, F Yang, DWC Ho, S Swift, A Tucker, X Liu
IEEE transactions on nanobioscience 7 (1), 44-55, 2008
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
A Tucker, V Vinciotti, X Liu, D Garway-Heath
Artificial intelligence in medicine 34 (2), 163-177, 2005
Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology
N Trifonova, A Kenny, D Maxwell, D Duplisea, J Fernandes, A Tucker
Ecological Informatics 30, 142-158, 2015
Quantifying StockTwits semantic terms’ trading behavior in financial markets: An effective application of decision tree algorithms
A Al Nasseri, A Tucker, S De Cesare
Expert systems with applications 42 (23), 9192-9210, 2015
Experts integrate explicit contextual priors and environmental information to improve anticipation efficiency.
NV Gredin, DT Bishop, DP Broadbent, A Tucker, AM Williams
Journal of Experimental Psychology: Applied 24 (4), 509, 2018
Modeling air pollution, climate, and health data using Bayesian Networks: A case study of the English regions
C Vitolo, M Scutari, M Ghalaieny, A Tucker, A Russell
Earth and Space Science 5 (4), 76-88, 2018
Evaluation of the early conception factor (ECF™) test for the detection of nonpregnancy in dairy cattle
B Gandy, W Tucker, P Ryan, A Williams, A Tucker, A Moore, R Godfrey, ...
Theriogenology 56 (4), 637-647, 2001
Comparing, contrasting and combining clusters in viral gene expression data
P Kellam, X Liu, N Martin, C Orengo, S Swift, A Tucker
Proceedings of 6th workshop on intelligent data analysis in medicine and …, 2001
Construction of a network describing asparagine metabolism in plants and its application to the identification of genes affecting asparagine metabolism in wheat under drought …
TY Curtis, V Bo, A Tucker, NG Halford
Food and Energy Security 7 (1), e00126, 2018
Estimating uncertainty and interpretability in deep learning for coronavirus (COVID-19) detection. arXiv 2020
B Ghoshal, A Tucker
arXiv preprint arXiv:2003.10769, 2003
Literature-based priors for gene regulatory networks
E Steele, A Tucker, PAC Hoen, MJ Schuemie
Bioinformatics 25 (14), 1768-1774, 2009
Rgfga: An efficient representation and crossover for grouping genetic algorithms
A Tucker, J Crampton, S Swift
Evolutionary Computation 13 (4), 477-499, 2005
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection
B Ghoshal, A Tucker, B Sanghera, W Lup Wong
Computational Intelligence 37 (2), 701-734, 2021
A spatial survey of environmental indicators for Kazakhstan: an examination of current conditions and future needs
A Russell, M Ghalaieny, B Gazdiyeva, S Zhumabayeva, A Kurmanbayeva, ...
International journal of environmental research 12, 735-748, 2018
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