Showing results 47 to 66 of 102
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| Issue Date | Title | Author(s) |
| 2017 | Impact of e-publication changes in the International Code of Nomenclature for algae, fungi and plants (Melbourne Code, 2012) - did we need to "run for our lives"? | Nicolson, N; Challis, K; Tucker, A; Knapp, S |
| 2006 | Improved robustness in time series analysis of gene expression data by polynomial model based clustering | Hirsch, M; Tucker, A; Swift, S; Martin, N; Orengo, C; Kellam, P; Liu, X |
| 2014 | Improving predictive models of glaucoma severity by incorporating quality indicators | Sacchi, L; Tucker, A; Counsell, S; Garway-Heath, D; Swift, S |
| 2014 | Incorporating regime metrics into latent variable dynamic models to detect early-warning signals of functional changes in fisheries ecology | Trifonova, N; Duplisea, D; Kenny, A; Maxwell, D; Tucker, A |
| 2014 | Integrating clinical data from cross-sectional and longitudinal studies | Li, Y; Tucker, A |
| 23-Mar-2015 | Integrating Gene Regulatory Networks to identify cancer-specific genes. | Bo, V; Tucker, A |
| 2011 | Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy | Anvar, SY; Tucker, A; Vinciotti, V; Venema, A; van Ommen, G-JB; van der Maarel, SM; Raz, V; 't Hoen, PAC |
| 25-Sep-2021 | Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors | Al-Nasseri, A; Menla Ali, F; Tucker, A |
| 30-Nov-2018 | Learning Bayesian Networks from Big Data with Greedy Search | Scutari, M; Vitolo, C; Tucker, A |
| 2-Feb-2019 | Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation | Scutari, M; Vitolo, C; Tucker, A |
| 2003 | Learning dynamic Bayesian networks from multivariate time series with changing dependencies | Tucker, A; Liu, X |
| 2009 | Literature-based priors for gene regulatory networks | Steele, E; Tucker, A; 't Hoen, PAC; Schuemie, MJ |
| 2016 | Machine-learning approaches for modelling fish population dynamics | Trifonova, Neda |
| 2018 | Modelling air pollution, climate and health data using Bayesian Networks: a case study of the English regions | Vitolo, C; Scutari, M; Ghalaieny, M; Tucker, A; Russell, A |
| 24-Jan-2019 | MuG: A Multilevel Graph Representation for Big Data Interpretation | Colace, F; Lombardi, M; Pascale, F; Santaniello, D; Tucker, A; Villani, P |
| - | Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease | Alyousef, AA; Nihtyanova, S; Denton, C; Bosoni, P; Bellazzi, R; Tucker, A |
| 2012 | The North Atlantic Oscillation, climate change and the ecology of British insects | Westgarth-Smith, Angus |
| 2005 | Object-oriented cohesion as a surrogate of software comprehension: An empirical study | Counsell, S; Swift, S; Tucker, A; Mendes, E |
| 24-Jan-2019 | Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling | Yousefi, L; Swift, S; Arzoky, M; Saachi, L; Chiovato, L; Tucker, A |
| 2020 | Opening the black box: personalised disease prediction using hidden variables and dynamic bayesian networks | Yousefi, Leila |
