Showing results 71 to 90 of 103
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Issue Date | Title | Author(s) |
2017 | Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model | Tucker, A; Trifonova, N; Maxwell, D; Pinnegar, J; Kenny, A |
2019 | The Prevalence of Errors in Machine Learning Experiments | Shepperd, M; Guo, Y; Li, N; Arzoky, M; Capiluppi, A; Counsell, S; Destefanis, G; Swift, S; Tucker, A; Yousefi, L |
2009 | The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data | Tucker, A; Garway-Heath, D |
2011 | Python for teaching introductory programming: A quantitative evaluation | Jayal, A; Lauria, S; Tucker, A; Swift, S |
1-Feb-2011 | Python for teaching introductory programming: A quantitative evaluation | Jayal, A; Lauria, S; Tucker, A; Swift, S |
2015 | Quantifying stocktwits semantic terms' trading behavior in financial markets: An effective application of decision tree algorithms | Al Nasseri, A; Tucker, A; de Cesare, S |
2016 | rdefra: Interact with the UK AIR Pollution Database from DEFRA | Vitolo, C; Russell, A; Tucker, A |
2-Feb-2021 | Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications | Evans, BC; Tucker, A; Wearn, OR; Carbone, C |
2005 | RGFGA: An efficient representation and crossover for grouping genetic algorithms | Tucker, A; Crampton, J; Swift, S |
2006 | The robust selection of predictive genes via a simple classifier | Vinciotti, V; Tucker, A; Kellum, P; Liu, X |
2012 | The role of the North Atlantic Oscillation in controlling U.K. butterfly population size and phenology | Westgarth-Smith, A; Roy, DB; Scholze, M; Tucker, A; Sumpter, JP |
2016 | Simultaneous modelling and clustering of visual field data | Jilani, MZMB; Tucker, A; Swift, S |
2017 | Simultaneous modelling and clustering of visual field data | Jilani, Mohd Zairul Mazwan Bin |
1999 | Soft computing for intelligent data analysis | Liu, X; Johnson, R; Cheng, G; Swift, S; Tucker, A |
2003 | Spatial operators for evolving dynamic Bayesian networks from spatio-temporal data | Tucker, A; Liu, X; Garway-Heath, D |
24-Aug-2018 | A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs | Russell, A; Ghalaieny, M; Gazdiyeva, B; Zhumabayeva, S; Kurmanbayeva, A; Akhmetov, KK; Mukanov, Y; McCann, M; Ali, M; Tucker, A; Vitolo, C; Althonayan, A |
2014 | A spatio-temporal Bayesian network approach for revealing functional ecological networks in fisheries | Duplisea, D; Kenny, A; Tucker, A |
2005 | A Spatio-Temporal Bayesian Network Classifier for Understanding Visual Field Deterioration | Tucker, A; Vinciotti, V; Liu, X; Garway-Heath, D |
2015 | Spatio-temporal bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology | Trifonova, N; Kenny, A; Maxwell, D; Duplisea, D; Fernandes, J; Tucker, A |
2008 | Stochastic dynamic modeling of short gene expression time-series data | Wang, Z; Yang, F; Ho, DWC; Swift, S; Tucker, A; Liu, X |