| 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 (11), R94, 2004 | 146 | 2004 |
| What is fuzzy about fuzzy clustering? Understanding and improving the concept of the fuzzifier F Klawonn, F Höppner International symposium on intelligent data analysis, 254-264, 2003 | 144 | 2003 |
| 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 | 82 | 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 | 81 | 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 | 80 | 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 | 62 | 2005 |
| 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 | 53 | 2001 |
| Rgfga: An efficient representation and crossover for grouping genetic algorithms A Tucker, J Crampton, S Swift Evolutionary Computation 13 (4), 477-499, 2005 | 47 | 2005 |
| 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 | 45 | 2001 |
| Literature-based priors for gene regulatory networks E Steele, A Tucker, PAC Hoen, MJ Schuemie Bioinformatics 25 (14), 1768-1774, 2009 | 44 | 2009 |
| Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets E Steele, A Tucker Journal of biomedical informatics 41 (6), 914-926, 2008 | 33 | 2008 |
| 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 | 31 | 2015 |
| Evolutionary learning of dynamic probabilistic models with large time lags A Tucker, X Liu, A Ogden‐Swift International Journal of Intelligent Systems 16 (5), 621-645, 2001 | 30 | 2001 |
| Clustering with niching genetic K-means algorithm W Sheng, A Tucker, X Liu Genetic and Evolutionary Computation Conference, 162-173, 2004 | 29 | 2004 |
| Learning dynamic Bayesian networks from multivariate time series with changing dependencies A Tucker, X Liu International Symposium on Intelligent Data Analysis, 100-110, 2003 | 29 | 2003 |
| A framework for modelling virus gene expression data P Kellam, X Liu, N Martin, C Orengo, S Swift, A Tucker Intelligent Data Analysis 6 (3), 267-279, 2002 | 25 | 2002 |
| Extending evolutionary programming methods to the learning of dynamic bayesian networks A Tucker, X Liu Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999 | 25 | 1999 |
| 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 | 24 | 2015 |
| Object-oriented cohesion as a surrogate of software comprehension: an empirical study S Counsell, S Swift, A Tucker, E Mendes Fifth IEEE International Workshop on Source Code Analysis and Manipulation …, 2005 | 24 | 2005 |
| The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data A Tucker, D Garway-Heath IEEE Transactions on Information Technology in Biomedicine 14 (1), 79-85, 2009 | 22 | 2009 |
