Dr Allan Tucker

Contact

Information Systems and Computing St John's 128h Brunel University Uxbridge UB8 3PH United Kingdom

Tel: +44 (0)1895 266933 Fax: +44 (0)1895 251686 Email: allan.tucker@brunel.ac.uk Web: Personal Website

Research Interests

Machine Learning, Datamining, Artificial Intelligence, Bayesian Networks, Genetic Algorithms

University Research Centre Membership

Research Group Membership

Publications

Journal Papers

(2013) Li, Y., Swift, S. and Tucker, A., Modelling and analysing the dynamics of disease progression from cross-sectional studies., J Biomed Inform 46 (2) : 266- 274 Download publication

(2012) Paterson, A., Ashtari, M., Ribe, D., Stenbeck, G. and Tucker, A., Intelligent data analysis to model and understand live cell time-lapse sequences, Methods of Information in Medicine 51 279- 367

(2012) Westgarth-smith, AR., Roy, DB., Scholze, M., Tucker, A. and Sumpter, JP., The role of the North Atlantic oscillation in controlling UK butterfly population size and phenology, Ecological Entomology 37 (3) : 221- 232

(2012) Tucker, A. and Duplisea, D., Bioinformatics tools in predictive ecology: Applications to fisheries, Philosophical Transactions of the Royal Society: Part B 367 (1586) : 279- 290 Download publication

(2011) LAURIA, S., Jayal A., Tucker A. and Swift S., Python for Teaching Introductory Programming: A Quantitative Evaluation, ITALICS 10 (1)

(2011) Anvar, SY., Tucker, A., Vinciotti, V., Venema, A., van Ommen, GB., van der Maarel, SM., Raz, V. and 't Hoen, PAC., Interspecies translation of disease networks increases robustness and predictive accuracy, PLoS Computational Biology 7 (11) : e1002258

(2011) YU, K., Al-Hamzawi, R., Vinciotti, V. and Tucker, A., Prior elicitation for mixed quantile regression with allometric model, Environmetrics 22 911- 920

(2011) Al-Hamzawi, R., Keming, Y., Vinciotti, V. and Tucker, A., Prior elicitation for mixed quantile regression with an allometric model, Environmetrics

(2010) Sheng, WG., Tucker, A. and Liu, XH., A niching genetic k-means algorithm and its applications to gene expression data, Soft Computing - A Fusion of Foundations, Methodologies and Applications 14 (1) : 9- 19

(2010) Anvar, SY., 't Hoen, PA. and Tucker, A., The identification of informative genes from multiple datasets with increasing complexity, BMC Bioinformatics 11 32- Download publication

(2010) Tucker, A. and Garway-Heath, D., The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data., IEEE Trans Inf Technol Biomed 14 (1) : 79- 85 Download publication

(2009) Peek, N., Combi, C. and Tucker, A., Biomedical data mining (Editorial), Methods of Information in Medicine 48 (3) : 225- 228

(2009) Steele, E., Tucker, A., 't Hoen, PAC. and Schuemie, MJ., Literature-based priors for gene regulatory networks, Bioinformatics 25 (14) : 1768- 1774 Download publication

(2008) Steele, E. and Tucker, A., Consensus and meta-analysis regulatory networks for combining multiple microarray gene expression datasets, Journal of Biomedical Informatics 41 (6) : 914- 926 Download publication

(2008) Wang, Z., Yang, F., Ho, DWC., Swift, S., Tucker, A. and Liu, X., Stochastic dynamic modelling of short gene expression time series data, IEEE Transactions on Nanobioscience 7 (1) : 44- 55 Download publication

(2006) Tucker, A., 't Hoen, PAC., Vinciotti, V. and Liu, X., Temporal Bayesian classifiers for modelling muscular dystrophy expression data, Intelligent Data Analysis 10 (5) : 441- 455 Download publication

(2006) Counsell, S., Swift, S., Tucker, A. and Mendes, E., Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study, ACM SIGSOFT Software Engineering Notes 31 (5) : 1- 10

(2006) Strouthidis, NG., Vinciotti, V., Tucker, AJ., Gardiner, SK., Crabb, DP. and Garway-Heath, DF., Structure and function in glaucoma: the relationship between a functional visual field map and an anatomic retinal map, Investigative Opthalmology and Visual Science 47 (12) : 5356- 5362

(2006) Vinciotti, V., Tucker, A., Kellam, P. and Liu, X., The robust selection of predictive genes via a simple classifier, Applied Bioinformatics 5 (1) : 1- 11 Download publication

(2005) Tucker, A., Vinciotti, V., Liu, X. and Garway-Heath, D., A spatio-temporal Bayesian network classifier for understanding visual field deterioration, Artificial Intelligence in Medicine 34 (2) : 163- 177 Download publication

(2005) Tucker, A., Crampton, J. and Swift, S., RGFGA: an efficient representation and crossover for grouping genetic algorithms, Evolutionary Computation 13 (4) : 477- 499 Download publication

(2004) Swift, S., Tucker, A., Vinciotti, V., Martin, N., Orengo, C., Liu, X. and Kellam, P., Consensus clustering and functional interpretation of gene-expression data, Genome Biology 5 (11) : R94- R94 Download publication

(2004) Tucker, A. and Liu, X., A bayesian network approach to explaining time series with changing structure, Intelligent Data Analysis 8 (5) : 469- 480 Download publication

(2004) Swift, S., Tucker, A. and Liu, X., An analysis of scalable methods for clustering high-dimensional gene expression data, Annals of Mathematics, Computing and Teleinformatics 1 (2) : 80- 89

(2002) Kellam, P., Liu, X., Martin, N., Orenga, C., Swift, S. and Tucker, A., A framework for modelling virus gene expression data, Intelligent Data Analysis 6 (3) : 265- 279

(2002) Counsell, S., Liu, X., McFall, J., Swift, S. and Tucker, A., Evolutionary algorithms for grouping high dimensional email data, Intelligent Data Analysis 6 (6) : 503- 516

(2001) Tucker, A., Liu, X. and Ogden-Swift, A., Evolutionary learning of dynamic probabilistic models with large time lags, International Journal of Intelligent Systems 16 621- 645 Download publication

(2001) Swift, S., Tucker, A., Martin, N. and Liu, X., Grouping multivariate time series variables: applications to chemical process and visual field data, Knowledge-Based Systems 14 (3-4) : 147- 154

(2001) Tucker, A., Swift, S. and Liu, X., Variable grouping in multivariate time series via correlation, IEEE Transactions on Systems, Man and Cybernetics, Part B 31 (2) : 235- 245 Download publication

Conference Papers

(2011) Hassan, F. and Tucker, A., Automatic layout design solution, Symposium on Intelligent Data Analysis 2011, Lecture Notes in Computer Science (7014)

(2011) Tucker, A. and Duplisea, D., Integrating marine species biomass data by modelling functional knowledge, Symposium on Intelligent Data Analysis 2011, Lecture Notes in Computer Science (7014)

(2011) Ceccon, S., Garway-Heath, D., Crabb, D. and Tucker, A., The dynamic stage Bayesian network: identifying and modelling key stages in a temporal process, Symposium on Intelligent Data Analysis 2011, Lecture Notes in Computer Science (7014)

(2010) Hassan, F. and Tucker, A., Using cellular automata pedestrian flow statistics with heuristic search to automatically design spatial layout, 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010)

(2010) Hassan, F. and Tucker, A., Using uniform crossover to refine simulated annealing solutions for automatic design of spatial layouts, International Conference on Evolutionary Computation (ICAC)

(2010) Li, Y. and Tucker, A., Uncovering disease regions using pseudo time-series trajectories on clinical trial data, 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010)

(2010) Ceccon, S., Garway-Heath, D., Crabb, D. and Tucker, A., Investigations of clinical metrics and anatomical expertise with Bayesian network models for classification in early glaucoma, Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA 2010), held at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010)

(2010) Tucker, A., Swift, S., Counsell, S., Kent, S., Dickie, J., Liu, K. and Turner, R., Data mining the millennium seedbank at Kew, Workshop on Data Mining in Agriculture (DMA 2010) at the Industrial Conference on Data Mining (ICDM)

(2009) Li, X., Garway-Heath, D. and Tucker, A., Using pseudo time-series trajectories to explore disease regions in glaucoma, Fourteenth Workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP 2009)P

(2006) Hirsch, M., Tucker, A., Swift, S., Martin, N., Orengo, C., Kellam, P. and Liu, X., Improved robustness in time series analysis of gene expression data by polynomial model based clustering, The Second International Symposium on Computational Life Science (COMPLIFE'06), Lecture Notes in Computer Science (4216/2006) : 1- 10 Download publication

(1999) Liu, X., Johnson, R., Cheng, G., Swift, S. and Tucker, A., Soft computing for intelligent data analysis, 18th International Conference of the North American, Fuzzy Information Processing Society NAFIPS Download publication

(2011) Arzoky, M., Swift, S., Tucker, A. and Cain, J., Munch: An efficient modularisation strategy to assess the degree of refactoring on sequential source code checkings, , Proceedings - 4th IEEE International Conference on Software Testing, Verification, and Validation Workshops, ICSTW 2011 422- 429

(2009) Cain, J., Counsell, S., Swift, S. and Tucker, A., An application of intelligent data analysis techniques to a large software engineering dataset,

(2009) Steele, E. and Tucker, A., Selecting and weighting data for building consensus gene regulatory networks,

(2007) Swift, S., Tucker, A. and Crampton, J., An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data, The Genetic and Evolutionary Computation Conference (GECCO 2007)

(2007) Peeling, E. and Tucker, A., Consensus gene regulatory networks: combining multiple microarray gene expression datasets, 3rd International Symposium on Computational Life Science, AIP Conference Proceedings (940) : 38- 49

(2007) Peeling, E., Tucker, A. and 't Hoen, PAC., Discovery of local regulatory structure from microarray gene expression data using Bayesian networks, Intelligent Data Analysis in Medicine and Pharmacology

(2007) Tucker, A., Swift, S. and Crampton, J., Efficiency updates for the restricted growth function GA for grouping problems, GECCO 2007 - the Genetic and Evolutionary Computation Conference

(2007) Swift, S., Tucker, A. and Hirsch, M., Improving the performance of consensus clustering through seeding: an application to visual field data, The Intelligent Data Analysis in Biomedicine and Pharmacology Workshop (IDAMAP2007)

(2007) Peeling, E. and Tucker, A., Making time: pseudo time-series for the temporal analysis of cross section data, Lecture Notes in Computer Science (IDA 2007)

(2005) Counsell, S., Swift, S., Tucker, A. and Mendes, E., Object-oriented cohesion as a surrogate of software comprehension: an empirical study, 5th IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2005) Download publication

(2005) Tucker, A., Vinciotti, V., 't Hoen, PAC. and Liu, X., Bayesian network classifiers for time series microarray data, 6th International Symposium on Intelligent Data Analysis (IDA-2005), Lecture Notes in Computer Science (3646) : 475- 485 Download publication

(2005) Swift, S., Shi, A., Crampton, J. and Tucker, A., ICARUS: intelligent coupon allocation for retailers using search, IEEE Congress on Evolutionary Computation (CEC-2005) Download publication

(2004) Tucker, A., Vinciotti, V., Liu, X. and Garway-Heath, D., Bayesian networks to classify visual field data, The Association for Research in Vision and Ophthalmology Annual Conference (ARVO 2004)

(2004) Sheng, W., Tucker, A. and Liu, X., Clustering with niching genetic k-means algorithm, GECCO-2004 - the Genetic and Evolutionary Computation Conference, Lecture Notes in Computer Science (3103) : 162- 173 Download publication

(2004) Vinciotti, V., Tucker, A., Liu, X., Panteris, E. and Kellam, P., Identifying genes with high confidence from small samples, Workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions at the European Conference in Artificial Intelligence (ECAI 2004)

(2003) Counsell, S., Liu, X., Najjar, R., Swift, S. and Tucker, A., Applying intelligent data analysis to coupling relationships in object-oriented software, The Fifth International Symposium on Intelligent Data Analysis (IDA-2003), Lecture Notes on Computer Science (2810) : 440- 450

(2003) Tucker, A., Garway-Heath, D. and Liu, X., Bayesian classification and forecasting of visual field deterioration, The Ninth Workshop on Intelligent Data Analysis in Medicine and Pharmacology and Knowledge-Based Information Management in Anaesthesia and Intensive Care

(2003) Tucker, A. and Liu, X., Learning dynamic bayesian networks from multivariate time series with changing dependencies, The Fifth International Conference on Intelligent Data Analysis (IDA-2003), Lecture Notes on Computer Science (2810) : 100- 110 Download publication

(2003) Tucker, A., Garway-Heath, D. and Liu, X., Spatial operators for evolving dynamic probabilistic networks from spatio-temporal data, The Genetic and Evolutionary Computation Conference, Lecture Notes in Computer Science (2723) : 2360- 2371 Download publication

(2001) Kellam, P., Liu, X., Martin, N., Orengo, C., Swift, S. and Tucker, A., A framework for modelling short, high-dimensional multivariate time series: preliminary results in virus gene expression data analysis, The Fourth International Symposium on Intelligent Data Analysis (IDA-2001), Lecture Notes on Computer Science (2189) : 218- 227 Download publication

(2001) Counsell, S., Swift, S. and Tucker, A., An empirical investigation into the interpretation of faults in requirements documents, The Empirical Assessment in Software Engineering (EASE-2001)

(2001) Kellam, P., Liu, X., Martin, N., Orengo, C., Swift, S. and Tucker, A., Comparing, contrasting and combining clusters in viral gene expression data, The Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP-2001)

(2001) Swift, S., Tucker, A., Martin, N. and Liu, XH., Grouping multivariate time series variables: applications to chemical process and visual field data, 20th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000), Knowledge Based Systems (14) : 147- 154

(2001) Counsell, S., Liu, X., McFall, J., Swift, S. and Tucker, A., Optimising the grouping of email users to servers using intelligent data analysis, International Conference on the Engineering of Information Systems (EIS-2001)

(2001) Liu, X., Swift, S. and Tucker, A., Using evolutionary algorithms to tackle large scale grouping problems, The Genetic and Evolutionary Computation Conference (GECCO-2001)

(2001) Counsell, S., Liu, X., McFall, J., Swift, S. and Tucker, A., Using evolutionary algorithms to tackle large scale grouping problems: an application to email log file data, Proceedings of the Late-Breaking Papers of the Genetic and Evolutionary Computation Conference (GECCO-2001)

Book Chapters

(2011) Ceccon, S., Garway-Heath, D., Crabb, D. and Tucker, A., Ensembles of Bayesian network classifiers using glaucoma data and expertise. In: Okun, O., Valentini, G. and Re, M. eds. Ensembles in Machine Learning Applications. Berlin/Heidelberg : Springer-Verlag (373) : 133- 150

Books

(2012) Hollmén, J., Klawonn, F. and Tucker, A., Preface.