Allan Tucker



My first degree was in Cognitive Science at Sheffield University where I became interested in models of brain function and human and animal behaviour. I am also interested in learning AI models of time-series data in order to try and understand the underlying processes generating such data, with a focus on biological, clinical and ecological big data. My Ph.D at Birkbeck College, entitled \"The Automatic Explanation of Multivariate Time Series\" was sponsored by the Engineering and Physical Sciences Research Council; Honeywell Hi-Spec Solutions, UK; and Honeywell HTC, USA. I spent two Summers working at Honeywell HTC on research and development.

As a Senior Lecturer at Brunel University London I have worked in conjunction with Leiden University Medical School and UCL on gene regulatory networks and this work is currently being expanded to explore networks across systems of increasing complexity. My current projects include modelling high dimensional gene expression data (focussing on integration of multiple studies for wheat), modelling visual field test data from Moorfield’s Eye Hospital, and exploring the dynamics of fish populations in the Northern Atlantic using Hidden Markov Models in conjunction with the Canadian Department of Fisheries and Oceans and DEFRA.


Selected Invited talks
• How to Analyse Big Data, The Royal Society of Medicine (KEYNOTE), 2014
• Artificial Intelligence, Useful Tools or Robot Overlords, Skeptics in the Pub, London 2014
• Machine Learning Approaches to Modelling Fisheries Data, Plymouth Marine Laboratory, 2013
• The Intelligent Data Analysis of Natural Process Data, Harbin Institute of Technology, China (also to Makerere University School of Computing and IT, Uganda via Skype) 2012
• Integrating marine biomass data using foodweb expertise, British Ecological Society, 2012
• Probabilistic Models for Understanding Ecological Data: Case studies in Seeds, Fish and Coral, Computational Sustainability, 2012 (KEYNOTE)
• Bioinformatics tools in predictive ecology: applications to fisheries, The Royal Society 2011(KEYNOTE)

Program Committees
I am / have been on the program committee for many international conferences including:
• Knowledge Discovery in Databases - KDD (Research),
• AI in Medicine (Board Member),
• American Association for AI conference - AAAI,
• International Joint Conference in AI - IJCAI
• General chair for the A ranked (ERA) symposia IDA 2013 (Council Member),

I review for numerous journals including:
• Nature Protocols,
• IEEE Transactions on Evolutionary Computation,
• AI in Medicine,
• Journal of Biomedical Informatics (on Editorial Board)

Research area(s)

Data Mining, Machine Learning,  Artificial Intelligence, Bayesian Networks, Big Data, Biomedical Informatics, Eco Informatics


Research project(s) and grant(s)

• Royal Society ”Incorporating temporal knowledge into models of microarray time-series” (2006)

• EPRSC “Data Integrity and Intelligent Data Analysis Techniques Applied to a Glaucoma Progression Dataset” (2010)

• NERC “A Data-Oriented Predictive Ecology Approach to Modelling Fish Communities during Regime Shifts” (2012)

• National Grid: “Statistical modelling of deterioration of overhead line conductors using Bayesian network and active learning methods” (2014)

•British Council Institutional Links Grant "A multi-dimensional environment-health risk analysis system for Kazakhstan" (2015)

Research group(s)

Special Research Institute(s)



I have designed and led the following modules:
• Business Intelligence (MSc) - at Brunel (~150 students) and NITH, Oslo (~30 students) for 1 year.
• Machine Learning (MSc) - at Brunel (~10 students) for 3 years.
• Logic and Computation (Level 1) - at Brunel (~200 students) for 4 years.

Other teaching:
• JAVA programming (level 1) - at Brunel (~200 students) for 5 years.
• Artificial Intelligence option (level 3) - at Brunel (~40 students) for 3 years.
• Masters level Statistics course - at Brunel Graduate School (~10 students) for 1 year.

Research supervision

Completed PhD Students:

• STEELE Emma (First supervisor): \"Combining Heterogeneous Sources of Data for the Reverse-Engineering of Gene Regulatory Networks\" (Completed 2009)
• ANVAR Yahya (Co-Promoter with Leiden University Medical Centre, Netherlands): \"Converging models for interspecies transcriptome studies of human diseases\" (2012)
• HASSAN Fadratul (First supervisor): \"Using Uniform Crossover to Refine Simulated Annealing Solutions for the Automatic Design of Spatial Layouts\" (2013)
• CECCON Stefano (First supervisor): \"The Identification and Modelling of Key Stages in a Temporal Process\" (2013)
• LI Yuanxi (First supervisor): \"The Exploitation of Cross-Sectional Studies to Infer Disease Processes\" (2014)

Current PhD Students:

• BO Valeria (First supervisor): \"The Integration of Multiple Data Sources for Building Robust Gene Regulatory Networks\" (departmental EPSRC grant)
• TRIFFONOVA Neda (1st Supervisor): \" A Data-Oriented Predictive Ecology Approach to Modelling Fish Communities during Regime Shifts\" (NERC open CASE award)
• FRANCO Chiara (2nd supervisor in conjunction with Essex University), \"A Bayesian Network approach for assessing rate of changes in coral reef ecosystems \"

• Sharif Hanif: "Bayesian Modelling for Software Quality" (2015)

I have acted as internal (4) and external examiner - Imperial College London (twice) and University of the Basque Country (once).

Selected Publications

Journal articles

Tucker, A. , Li, Y.  and Garway-Heath, D.   (2017)   'Updating Markov models to integrate cross-sectional and longitudinal studies'. Artificial Intelligence in Medicine, 77 pp. 23 - 30. doi: 10.1016/j.artmed.2017.03.005 Download publication 

Nicolson, N. , Challis, K. , Tucker, A.  and Knapp, 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"?'. BMC evolutionary biology, 17 (1).  pp. 116 - 116. doi: 10.1186/s12862-017-0961-8 Download publication 

Tucker, A. , Trifonova, N. , Maxwell, D. , Pinnegar, J.  and Kenny, A.   (2017)   'Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model'. ICES Journal of Marine Science, 73 (10).  doi: 10.1093/icesjms/fsw231 Download publication 

Vitolo, C. , Russell, A.  and Tucker, A.   (2016)   'rdefra: Interact with the UK AIR Pollution Database from DEFRA'. The Journal of Open Source Software, 1 (4).  doi: 10.21105/joss.00051 Download publication 

Franco, C. , Hepburn, L. , Smith, D. , Nimrod, S.  and Tucker, A.   (2016)   'A Bayesian Belief Network to assess rate of changes in coral reef ecosystems'. Environmental Modelling and Software. doi: 10.1016/j.envsoft.2016.02.029 Download publication 

Scott, MJ. , Counsell, S. , Lauria, S. , Swift, S. , et al.   (2015)   'Enhancing Practice and Achievement in Introductory Programming with a Robot Olympics'. IEEE Transactions on Education, 58 (4).  pp. 249 - 254. doi: 10.1109/TE.2014.2382567 Download publication 

Trifonova, N. , Kenny, A. , Maxwell, D. , Duplisea, D. , et al.   (2015)   'Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology'. Ecological Informatics. doi: 10.1016/j.ecoinf.2015.10.003 Download publication 

Al Nasseri, AA. , Tucker, A.  and de Cesare, S.   (2015)   'Quantifying StockTwits Semantic Terms' Trading Behavior in Financial Markets: An Effective Application of Decision Tree Algorithms'. Expert Systems with Applications. doi: 10.1016/j.eswa.2015.08.008 Download publication 

Hassan, F. , Swift, S.  and Tucker, A.   (2014)   'Using Heuristic Search with Pedestrian Simulation Statistics to Find Feasible Spatial Layout Design Elements'. Journal of Algorithmic Optimisation

Bo, V. , Curtis, T. , Lysenko, A. , Saqi, M. , et al.   (2014)   'Discovering Study-Specific Gene Regulatory Networks'. PLoS OneDownload publication 

Ceccon, S. , Garway-Heath, D. , Crabb, D.  and Tucker, A.   (2014)   'Exploring early glaucoma and the visual field test: Classification and clustering using Bayesian networks'. IEEE Transactions on Biomedical and Health Informatics, Forthcoming doi: 10.1109/JBHI.2013.2289367 

Sacchi, L. , Tucker, A. , Counsell, S. , Garway-Heath, D.  and Swift, S.   (2014)   'Improving predictive models of glaucoma severity by incorporating quality indicators'. Artificial Intelligence in Medicine, 60 (2).  pp. 103 - 112. doi: 10.1016/j.artmed.2013.12.002 Download publication 

Li, Y. , Swift, S.  and Tucker, A.   (2013)   'Modelling and analysing the dynamics of disease progression from cross-sectional studies'. Journal of Biomedical Informatics, 46 (2).  pp. 266 - 274. doi: 10.1016/j.jbi.2012.11.003 

Li, Y. , Swift, S.  and Tucker, A.   (2012)   'Modelling and analysing the dynamics of disease progression from cross-sectional studies'. Journal of Biomedical Informatics

Arzoky, M. , Swift, S. , Tucker, A.  and Cain, J.   (2012)   'A seeded search for the modularisation of sequential software versions'. Journal of Object Technology, 11 (2).  doi: 10.5381/jot.2012.11.2.a6 

Westgarth-Smith, A. , Roy, DB. , Scholze, M. , Tucker, A.  and Sumpter, JP.   (2012)   'The role of the North Atlantic Oscillation in controlling U.K. butterfly population size and phenology'. Ecological Entomology, 37 (3).  pp. 221 - 232. doi: 10.1111/j.1365-2311.2012.01359.x Download publication 

Paterson, A. , Ashtari, M. , Ribe, D. , Stenbeck, G.  and Tucker, A.   (2012)   'Intelligent data analysis to model and understand live cell time-lapse sequences'. Methods of Information in Medicine, 51 (4).  pp. 332 - 340. doi: 10.3414/ME11-02-0041 

Tucker, A.  and Duplisea, D.   (2012)   'Bioinformatics tools in predictive ecology: Applications to fisheries'. Philosophical Transactions of the Royal Society: Part B, 367 (1586).  pp. 279 - 290. doi: 10.1098/rstb.2011.0184 Download publication 

Jayal, A. , Lauria, S. , Tucker, A.  and Swift, S.   (2011)   'Python for teaching introductory programming: A quantitative evaluation'. ITALICS Innovations in Teaching and Learning in Information and Computer Sciences, 10 (1).  pp. 86 - 90. Download publication 

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

Anvar, SY. , Tucker, A. , Vinciotti, V. , Venema, A. , et al.   (2011)   'Interspecies translation of disease networks increases robustness and predictive accuracy'. PLoS Computational Biology, 7 (11).  doi: 10.1371/journal.pcbi.1002258 Download publication 

Anvar, SY. , 't Hoen, PA.  and Tucker, A.   (2010)   'The identification of informative genes from multiple datasets with increasing complexity'. BMC Bioinformatics, 11 pp. 32 - 32. doi: 10.1186/1471-2105-11-32 Download publication 

Tucker, A.  and Garway-Heath, D.   (2010)   'The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data.'. IEEE Trans Inf Technol Biomed, 14 (1).  pp. 79 - 85. doi: 10.1109/TITB.2009.2023319 Download publication 

Sheng, WG. , Tucker, A.  and Liu, XH.   (2010)   'A niching genetic k-means algorithm and its applications to gene expression data'. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 14 (1).  pp. 9 - 19. doi: 10.1007/s00500-008-0386-9 

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

Steele, E. , Tucker, A. , 't Hoen, PAC.  and Schuemie, MJ.   (2009)   'Literature-based priors for gene regulatory networks'. Bioinformatics, 25 (14).  pp. 1768 - 1774. doi: 10.1093/bioinformatics/btp277 Download publication 

Wang, Z. , Yang, F. , Ho, DWC. , Swift, S. , et al.   (2008)   'Stochastic dynamic modelling of short gene expression time series data'. IEEE Transactions on Nanobioscience, 7 (1).  pp. 44 - 55. doi: 10.1109/TNB.2008.2000149 Download publication 

Steele, E.  and Tucker, A.   (2008)   'Consensus and meta-analysis regulatory networks for combining multiple microarray gene expression datasets'. Journal of Biomedical Informatics, 41 (6).  pp. 914 - 926. doi: 10.1016/j.jbi.2008.01.011 Download publication 

Strouthidis, NG. , Vinciotti, V. , Tucker, AJ. , Gardiner, SK. , et al.   (2006)   '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).  pp. 5356 - 5362. doi: 10.1167/iovs.05-1660 

Counsell, S. , Swift, S. , Tucker, A.  and Mendes, E.   (2006)   'Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study'. ACM SIGSOFT Software Engineering Notes, 31 (5).  pp. 1 - 10. doi: 10.1145/1163514.1163530 

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

Tucker, A. , Vinciotti, V. , Liu, X.  and Garway-Heath, D.   (2005)   'A spatio-temporal Bayesian network classifier for understanding visual field deterioration'. Artificial Intelligence in Medicine, 34 (2).  pp. 163 - 177. doi: 10.1016/j.artmed.2004.07.004 Download publication 

Tucker, A. , Crampton, J.  and Swift, S.   (2005)   'RGFGA: an efficient representation and crossover for grouping genetic algorithms'. Evolutionary Computation, 13 (4).  pp. 477 - 499. doi: 10.1162/106365605774666903 Download publication 

Swift, S. , Tucker, A. , Vinciotti, V. , Martin, N. , et al.   (2004)   'Consensus clustering and functional interpretation of gene-expression data'. Genome Biology, 5 (11).  pp. R94 - R94. doi: 10.1186/gb-2004-5-11-r94 Download publication 

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

Counsell, S.   (Accepted)   'Evolutionary algorithms for grouping high dimensional Email data'. Intelligent Data Analysis

Kellam, P. , Liu, X. , Martin, N. , Orenga, C. , et al.   (2002)   'A framework for modelling virus gene expression data'. Intelligent Data Analysis, 6 (3).  pp. 265 - 279. 

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

Tucker, A. , Swift, S.  and Liu, X.   (2001)   'Variable grouping in multivariate time series via correlation'. IEEE Transactions on Systems, Man and Cybernetics, Part B, 31 (2).  pp. 235 - 245. doi: 10.1109/3477.915346 Download publication 

Swift, S. , Tucker, A. , Martin, N.  and Liu, X.   (2001)   'Grouping multivariate time series variables: applications to chemical process and visual field data'. Knowledge-Based Systems, 14 (3-4).  pp. 147 - 154. doi: 10.1016/S0950-7051(01)00091-0 


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

Book chapters

Tucker, A. , Höppner, F. , Siebes, A.  and Swift, S.  (2013)   'Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface', in(8207 LNCS)  

Ceccon, S. , Garway-Heath, D. , Crabb, D.  and Tucker, A.  (2011)   '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) : pp. 133 - 150. 

Conference papers

Counsell, S. , Swift, S.  and Tucker, A.   (2016)   'The AGIS metric and time of test: A replication study' . doi: 10.1109/CBMS.2016.80 Download publication 

Jilani, MZMB. , Tucker, A.  and Swift, S.   (2016)   'Simultaneous modelling and clustering of visual field data' , The 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast. 16 - 23 June. doi: 10.1109/CBMS.2016.66 Download publication 

Bosoni, P. , Tucker, A. , Bellazzi, R. , Nihtyanova, S.  and Denton, C.   (2016)   'Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses' , IEEE 29th International Symposium on Computer Based Medical Systems. Belfast. 1 doi: 10.1109/CBMS.2016.37 Download publication 

Bo, V.  and Tucker, A.   (2015)   'Integrating Gene Regulatory Networks to identify cancer-specific genes.' . 

Tucker, A.  and Li, Y.   (2015)   'Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies' , Artificial Intelligence in Medicine. Pavia. 17 Springer-Verlag, pp. 113 - 122. Download publication 

Al Nasseri, A. , Tucker, A.  and de Cesare, S.   (2014)   'Big data analysis of stocktwits to predict sentiments in the stock market' . 

Li, Y.  and Tucker, A.   (2014)   'Integrating clinical data from cross-sectional and longitudinal studies' . Institute of Electrical and Electronics Engineers Inc., pp. 465 - 466. doi: 10.1109/CBMS.2014.92 Download publication 

Trifonova, N. , Duplisea, D. , Kenny, A. , Maxwell, D.  and Tucker, A.   (2014)   'Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology' , Discovery Science. Bled. 6 - 6 October. Download publication 

Trifonova, N. , Duplisea, D. , Kenny, A.  and Tucker, A.   (2014)   'A Spatio-Temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries' , Symposium on Intelligent Data Analysis. Brussels. 1 - 1 November. Springer Verlag. Download publication 

Counsell, S. , Tucker, A. , Swift, S.  and Fitzgerald, G.   (2014)   'Comparing Pre-Defined Software Engineering Metrics with Free-Text for the Prediction of Code ‘Ripples’' , Symposium on Intelligent Data Analysis. Brussels. 1 - 1 November. Springer Verlag. 

Kirkup, D.  and Tucker, A.   (2014)   'Extracting Predictive Models from Marked-Up Free-Text Documents at The Royal Botanic Gardens, Kew, London' , Symposium on Intelligent Data Analysis. Brussels. 1 - 1 November. Download publication 

Al Nasseri, A.  and Tucker, A.   (2014)   'Bayesian Network Model for predicting Stock Micro-Blogging Sentiments in Stock Market' , Discovery Science. Bled. 6 - 6 October. 

Pavlidis, S. , Swift, S. , Tucker, A.  and Counsell, S.   (2013)   'The Modelling of Glaucoma Progression through the Use of Cellular Automata' , 12th International Symposium on Intelligent Data Analysis (IDA). Royal Stat Soc, London, ENGLAND. 1 - 19 October. SPRINGER-VERLAG BERLIN, pp. 322 - 332. 

Bo, V. , Lysenko, A. , Saqi, M. , Habash, D.  and Tucker, A.   (2013)   'Integrating multiple studies of wheat microarray data to identify treatment-specific regulatory networks' . doi: 10.1007/978-3-642-41398-8_10 

Arzoky, M. , Swift, S. , Tucker, A.  and Cain, J.   (2011)   'Munch: An efficient modularisation strategy to assess the degree of refactoring on sequential source code checkings' , 4th IEEE International Conference on Software Testing, Verification, and Validation Workshops (ICSTW 2011). [unpublished].  doi: 10.1109/ICSTW.2011.87 

Tucker, A.  and Duplisea, D.   (2011)   'Integrating marine species biomass data by modelling functional knowledge' , Symposium on Intelligent Data Analysis 2011. Porto, Portugal. 29 - 31 October. Springer. 

Ceccon, S. , Garway-Heath, D. , Crabb, D.  and Tucker, A.   (2011)   'The dynamic stage Bayesian network: identifying and modelling key stages in a temporal process' , Symposium on Intelligent Data Analysis 2011. Porto, Portugal. 29 - 31 October. Springer. 

Hassan, F.  and Tucker, A.   (2011)   'Automatic layout design solution' , Symposium on Intelligent Data Analysis 2011. Porto, Portugal. 29 - 31 October. Springer. 

Ceccon, S. , Garway-Heath, D. , Crabb, D.  and Tucker, A.   (2010)   '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). Barcelona, Spain. 20 [unpublished].  

Hassan, F.  and Tucker, A.   (2010)   '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). Arras, France. 27 - 29 October. [unpublished].  

Tucker, A. , Swift, S. , Counsell, S. , Kent, S. , et al.   (2010)   'Data mining the millennium seedbank at Kew' , Workshop on Data Mining in Agriculture (DMA 2010) at the Industrial Conference on Data Mining (ICDM). Berlin/Germany. 14 [unpublished].  

Hassan, F.  and Tucker, A.   (2010)   'Using uniform crossover to refine simulated annealing solutions for automatic design of spatial layouts' , International Conference on Evolutionary Computation (ICAC). Valencia, Spain. 24 - 26 October. [unpublished].  

Li, Y.  and Tucker, A.   (2010)   'Uncovering disease regions using pseudo time-series trajectories on clinical trial data' , 3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010). Yantai, China. 16 - 18 October. [unpublished].  

Li, X. , Garway-Heath, D.  and Tucker, A.   (2009)   'Using pseudo time-series trajectories to explore disease regions in glaucoma' , Fourteenth Workshop on Intelligent Data Analysis in bioMedicine and Pharmacology (IDAMAP 2009)P. Verona, Italy. 19 [unpublished].  

Cain, J. , Counsell, S. , Swift, S.  and Tucker, A.   (2009)   'An application of intelligent data analysis techniques to a large software engineering dataset' . Springer, pp. 261 - 272. doi: 10.1007/978-3-642-03915-7_23 

  (2009)   'Two-Way Grouping by One-Way Topic Models' . doi: 10.1007/978-3-642-03915-7_17 

Steele, E.  and Tucker, A.   (2009)   'Selecting and weighting data for building consensus gene regulatory networks' . Springer-Verlag, pp. 190 - 201. doi: 10.1007/978-3-642-03915-7_17 

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

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

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

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

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

Peeling, E.  and Tucker, A.   (2007)   'Consensus gene regulatory networks: combining multiple microarray gene expression datasets' , 3rd International Symposium on Computational Life Science. doi: 10.1063/1.2793402 

Hirsch, M. , Tucker, A. , Swift, S. , Martin, N. , et al.   (2006)   '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). Cambridge, UK. 27 - 29 September. Springer, pp. 1 - 10. doi: 10.1007/11875741_1 Download publication 

Tucker, A. , 't Hoen, PAC. , Vinciotti, V.  and Liu, X.   (2006)   'Temporal Bayesian classifiers for modelling muscular dystrophy expression data' . IOS Press, pp. 441 - 455. Download publication 

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

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

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

Sheng, W. , Tucker, A.  and Liu, X.   (2004)   'Clustering with niching genetic k-means algorithm' , GECCO-2004 - the Genetic and Evolutionary Computation ConferenceDownload publication 

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

Vinciotti, V. , Tucker, A. , Liu, X. , Panteris, E.  and Kellam, P.   (2004)   '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). [unpublished].  

Tucker, A.  and Liu, X.   (2004)   'A bayesian network approach to explaining time series with changing structure' . IOS Press, pp. 469 - 480. Download publication 

Tucker, A. , Garway-Heath, D.  and Liu, X.   (2003)   'Spatial operators for evolving dynamic probabilistic networks from spatio-temporal data' , The Genetic and Evolutionary Computation ConferenceDownload publication 

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

Tucker, A.  and Liu, X.   (2003)   'Learning dynamic bayesian networks from multivariate time series with changing dependencies' , The Fifth International Conference on Intelligent Data Analysis (IDA-2003)Download publication 

Tucker, A. , Garway-Heath, D.  and Liu, X.   (2003)   '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. [unpublished].  

Kellam, P. , Liu, X. , Martin, N. , Orengo, C. , et al.   (2001)   'Comparing, contrasting and combining clusters in viral gene expression data' , The Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP-2001). [unpublished].  

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

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

Kellam, P. , Liu, X. , Martin, N. , Orengo, C. , et al.   (2001)   '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). Heidelberg: Springer, pp. 218 - 227. doi: 10.1007/3-540-44816-0_22 Download publication 

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

Swift, S. , Tucker, A. , Martin, N.  and Liu, XH.   (2001)   '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)

Counsell, S. , Liu, X. , McFall, J. , Swift, S.  and Tucker, A.   (2001)   '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). [unpublished].  

Liu, X. , Johnson, R. , Cheng, G. , Swift, S.  and Tucker, A.   (1999)   'Soft computing for intelligent data analysis' , 18th International Conference of the North American, Fuzzy Information Processing Society NAFIPS. New York. IEEE, pp. 527 - 531. Download publication 

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