Showing results 81 to 100 of 122
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| Issue Date | Title | Author(s) |
| 24-Jan-2023 | The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts | Myles, P; Ordish, J; Tucker, A |
| 2-Feb-2021 | Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks | de Benedetti, J; Oues, N; Wang, Z; Myles, P; Tucker, A |
| 13-Nov-2017 | Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables | Yousefi, L; Saachi, L; Bellazzi, R; Chiovato, L; Tucker, A |
| 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 |
| 2026 | Predictors and determinants of public trust in AI and software as a medical device for healthcare in UK: Evidence from the RADIANT Voices Study | El-Osta, A; Kopka, M; Behura, A; Altalib, S; Adam, M; Alaa, A; Fogbohun, O; Malhan, R; Jayacodi, S; Spicer, J; Gordon, D; Amed, S; Bura, P; Shehu, J; Kyffin, S; Shinhmar, S; Zebin, T; Wu, J; Tucker, A; Colecchia, F; Bondaronek, P; Chiribiri, A; Oldershaw, J; Burgess, L; Car, J; Majeed, A; Neves, AL; Potts, H; Spinelli, G |
| 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 |
| 26-Feb-2026 | Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data | Alattal, D; Draghi, B; Myles, P; Branson, R; Tucker, A |
| 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 |
| 2017 | Simultaneous modelling and clustering of visual field data | Jilani, Mohd Zairul Mazwan Bin |
| 2016 | Simultaneous modelling and clustering of visual field data | Jilani, MZMB; Tucker, A; Swift, S |
| 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 |
