A. Tucker

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Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy

Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, 2011, PLoS Comput. Biol..

Bioinformatics tools in predictive ecology: applications to fisheries

D. Duplisea, A. Tucker, 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

Hidden variables in a Dynamic Bayesian Network identify ecosystem level change

Laura Uusitalo, Allan Tucker, Maciej T. Tomczak, 2018, Ecol. Informatics.

Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model

J. Pinnegar, A. Kenny, D. Maxwell, 2017 .

Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules

L. Chiovato, A. Tucker, Leila Yousefi, 2020, Comput. Intell..

Biomedical Data Mining

Allan Tucker, Carlo Combi, Niels Peek, 2009, Methods of Information in Medicine.

Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis

Allan Tucker, Steve Counsell, Xiaohui Liu, 2001, ICEIS.

Semi-automated annotation of cell type-specific protein expression patterns in human testis based on immunohistochemistry

C. Lindskog, A. Tucker, Biraja Ghoshal, 2020 .

Identifying genes with high confidence from small samples

V. Vinciotti, Xiaohui Liu, P. Kellam, 2004 .

Bayesian Classification and Forecasting of Visual Field Deterioration

Xiaohui Liu, D. Garway-Heath, A. Tucker, 2003 .

Discovering Study-Specific Gene Regulatory Networks

Allan Tucker, Artem Lysenko, Valeria Bo, 2014, PloS one.

Construction of a network describing asparagine metabolism in plants and its application to the identification of genes affecting asparagine metabolism in wheat under drought and nutritional stress

Nigel G Halford, A. Tucker, V. Bo, 2018, Food and energy security.

The role of the North Atlantic Oscillation in controlling U.K. butterfly population size and phenology

M. Scholze, J. Sumpter, D. Roy, 2012, Ecological entomology.

Analysis of Friedreich's ataxia patient clinical data reveals importance of accurate GAA repeat determination in disease prognosis and gender differences in cardiac measures

Xiaohui Liu, P. Giunti, A. Payne, 2019, Informatics in Medicine Unlocked.

An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma

Mohd Zairul Mazwan Bin Jilani, S. Swift, A. Tucker, 2019, Journal of Heuristics.

Estimating the Optimal Number of Clusters from Subsets of Ensembles

S. Swift, A. Tucker, Mahir Arzoky, 2022, DATA.

Predicting Type 2 Diabetes Complications and Personalising Patient Using Artificial Intelligence Methodology

A. Tucker, Leila Yousefi, 2020, Type 2 Diabetes [Working Title].

Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies

Yuanxi Li, Allan Tucker, Stephen Swift, 2015, Foundations of Biomedical Knowledge Representation.

A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries

Andrew Kenny, Allan Tucker, Neda Trifonova, 2014, IDA.

Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks

David P. Crabb, David F. Garway-Heath, Allan Tucker, 2014, IEEE Journal of Biomedical and Health Informatics.

Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks

Allan Tucker, Artem Lysenko, Dimah Z. Habash, 2013, IDA.

A niching genetic k-means algorithm and its applications to gene expression data

Weiguo Sheng, Xiaohui Liu, Allan Tucker, 2009, Soft Comput..

Clustering with Niching Genetic K-means Algorithm

Weiguo Sheng, Xiaohui Liu, Allan Tucker, 2004, GECCO.

Prior elicitation for mixed quantile regression with an allometric model

Allan Tucker, Rahim Alhamzawi, Veronica Vinciotti, 2011 .

Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction

Allan Tucker, Riccardo Bellazzi, Pietro Bosoni, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Generating and evaluating cross‐sectional synthetic electronic healthcare data: Preserving data utility and patient privacy

A. Tucker, P. Myles, Zhenchen Wang, 2021, Comput. Intell..

Simultaneous Modelling and Clustering of Visual Field Data

Allan Tucker, Stephen Swift, Mohd Zairul Mazwan Bin Jilani, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics

Allan Tucker, Martin Shepperd, Steve Counsell, 2015, IEEE Transactions on Education.

Stability analysis of MTopGO for module identification in PPI networks

Allan Tucker, Riccardo Bellazzi, Danila Vella, 2017, PeerJ Prepr..

Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation

Allan Tucker, Claudia Vitolo, Marco Scutari, 2018, Statistics and Computing.

Advances in Intelligent Data Analysis XI

Frank Klawonn, Allan Tucker, Jaakko Hollmén, 2012, Lecture Notes in Computer Science.

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection pdf

Allan Tucker, Biraja Ghoshal, A. Tucker, 2020, ArXiv.

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”?

S. Knapp, N. Nicolson, A. Tucker, 2017, BMC Evolutionary Biology.

Consensus clustering and functional interpretation of gene-expression data

Xiaohui Liu, Allan Tucker, Nigel J. Martin, 2004, Genome Biology.

Identification of cancer biomarkers of prognostic value using specific gene regulatory networks (GRN): a novel role of RAD51AP1 for ovarian and lung cancers

G. Pados, E. Karteris, M. Hall, 2017, Carcinogenesis.

Correction: Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy

S. Anvar, V. Vinciotti, G. V. van Ommen, 2011, PLoS Computational Biology.

A Bayesian Belief Network to assess rate of changes in coral reef ecosystems

Allan Tucker, David J. Smith, David J. Smith, 2016, Environ. Model. Softw..

Generating high-fidelity synthetic patient data for assessing machine learning healthcare software

Puja Myles, Allan Tucker, Zhenchen Wang, 2020, npj Digital Medicine.

Advances in Intelligent Data Analysis XVI

Allan Tucker, Niall Adams, David Weston, 2017, Lecture Notes in Computer Science.

Literature-based priors for gene regulatory networks

Emma Steele, Allan Tucker, Peter A. C. 't Hoen, 2009, Bioinform..

Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets

Emma Steele, Allan Tucker, A. Tucker, 2008, J. Biomed. Informatics.

Consensus gene regulatory networks: combining multiple microarray gene expression datasets

Allan Tucker, Emma Peeling, A. Tucker, 2008 .

Metadata of the chapter that will be visualized in SpringerLink

S. Counsell, S. Swift, A. Tucker, 2019 .

Specimens as Research Objects: Reconciliation Across Distributed Repositories to Enable Metadata Propagation

Allan Tucker, Nicky Nicolson, Alan Paton, 2018, 2018 IEEE 14th International Conference on e-Science (e-Science).

An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma

Allan Tucker, Stephen Swift, Mohd Zairul Mazwan Bin Jilani, 2019, J. Heuristics.

Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection

Bal Sanghera, Allan Tucker, Biraja Ghoshal, 2020, Comput. Intell..

Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data

Allan Tucker, Bal Sanghera, Biraja Ghoshal, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease

Allan Tucker, Riccardo Bellazzi, Pietro Bosoni, 2018, Journal of Healthcare Informatics Research.

Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies"

Yuanxi Li, David F. Garway-Heath, Allan Tucker, 2017, Artif. Intell. Medicine.

Updating Markov models to integrate cross-sectional and longitudinal studies

Yuanxi Li, David F. Garway-Heath, Allan Tucker, 2017, Artif. Intell. Medicine.

Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies

Yuanxi Li, Allan Tucker, A. Tucker, 2015, AIME.

Integrating Clinical Data from Cross-Sectional and Longitudinal Studies

Yuanxi Li, Allan Tucker, A. Tucker, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Modeling Air Pollution, Climate, and Health Data Using Bayesian Networks: A Case Study of the English Regions

Allan Tucker, Claudia Vitolo, Marco Scutari, 2018 .

Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery

Allan Tucker, Mahir Arzoky, Stephen Swift, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

ICARUS: intelligent coupon allocation for retailers using search

Allan Tucker, Jason Crampton, Stephen Swift, 2005, 2005 IEEE Congress on Evolutionary Computation.

The Modelling of Glaucoma Progression through the Use of Cellular Automata

Stelios Pavlidis, Allan Tucker, Steve Counsell, 2013, IDA.

Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction

A. Tucker, Leila Yousefi, 2020, Intell. Data Anal..

Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling

Allan Tucker, Mahir Arzoky, Leila Yousefi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks

Leila Yousefi, Riccardo Bellazzi, Allan Tucker, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors

F. Ali, A. Tucker, Alya Al-Nasseri, 2021, International Review of Financial Analysis.

Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy

Allan Tucker, Puja Myles, Zhenchen Wang, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

Quantifying StockTwits semantic terms' trading behavior in financial markets: An effective application of decision tree algorithms

Allan Tucker, Sergio de Cesare, Alya Al Nasseri, 2015, Expert Syst. Appl..

Extending Evolutionary Programming methods to the learning of dynamic Bayesian networks

Allan Tucker, Xiaohui Liu, Xiaohui Liu, 1999 .

The Prevalence of Errors in Machine Learning Experiments

Allan Tucker, Ning Li, Steve Counsell, 2019, IDEAL.

Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study

Allan Tucker, Emilia Mendes, Steve Counsell, 2006, SOEN.

Learning Bayesian Networks from Big Data with Greedy Search

Allan Tucker, Claudia Vitolo, Marco Scutari, 2018 .

A spatio-temporal Bayesian network classifier for understanding visual field deterioration

Xiaohui Liu, David F. Garway-Heath, Veronica Vinciotti, 2005, Artif. Intell. Medicine.

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records

Nophar Geifman, Niels Peek, Riccardo Bellazzi, 2020, Artif. Intell. Medicine.

Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology

Andrew Kenny, David Maxwell, Allan Tucker, 2015, Ecol. Informatics.

Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data

Allan Tucker, Emma Peeling, A. Tucker, 2007, IDA.

Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models

Allan Tucker, Laura Uusitalo, Pedro A. Aguilera, 2019, Environ. Model. Softw..

A Multilevel Graph Approach for Predicting Bicycle Usage in London Area

Francesco Colace, Massimo De Santo, Marco Lombardi, 2019, ICICT.

A framework for modelling virus gene expression data

Allan Tucker, Nigel J. Martin, Christine A. Orengo, 2002, Intell. Data Anal..

New JBI policy emphasizes clinically-meaningful novel machine learning methods

M. Peleg, T. Kannampallil, A. Tucker, 2022, J. Biomed. Informatics.

DeepHistoClass: A Novel Strategy for Confident Classification of Immunohistochemistry Images Using Deep Learning

C. Lindskog, C. Pineau, Feria Hikmet, 2021, Molecular & cellular proteomics : MCP.

Structure and function in glaucoma: The relationship between a functional visual field map and an anatomic retinal map.

David P Crabb, Veronica Vinciotti, Nicholas G Strouthidis, 2006, Investigative ophthalmology & visual science.

A Deconstructed Replication of a Time of Test Study Using the AGIS Metric

Allan Tucker, Steve Counsell, Stephen Swift, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

The AGIS Metric and Time of Test: A Replication Study

Allan Tucker, Steve Counsell, Stephen Swift, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks

A. Tucker, P. Myles, Zhenchen Wang, 2020, PKDD/ECML Workshops.

The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process

David P. Crabb, David F. Garway-Heath, Allan Tucker, 2011, IDA.

Non-stationary Clustering Bayesian Networks for glaucoma

D. Crabb, A. Tucker, STEFANO. CECCON, 2012 .

Stochastic Dynamic Modeling of Short Gene Expression Time-Series Data

Fuwen Yang, A. Tucker, Zidong Wang, 2008, IEEE Transactions on NanoBioscience.

Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks

Steve Counsell, Leila Yousefi, Stephen Swift, 2019, AIED.

Intelligent Data Analysis to Model and Understand Live Cell Time-lapse Sequences

Allan Paterson, M Ashtari, D Ribé, 2012, Methods of Information in Medicine.

Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods

Allan Tucker, Xiaohui Liu, Bashir I. Dodo, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

The identification of informative genes from multiple datasets with increasing complexity

Allan Tucker, Peter A. C. 't Hoen, Seyed Yahya Anvar, 2010, BMC Bioinformatics.

Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market

Allan Tucker, Sergio de Cesare, Alya Al Nasseri, 2014, Discovery Science.

Selecting and Weighting Data for Building Consensus Gene Regulatory Networks

Emma Steele, Allan Tucker, A. Tucker, 2009, IDA.

Advances in Intelligent Data Analysis XII

Allan Tucker, H Frank, S. Swift, 2013, Lecture Notes in Computer Science.

A multilevel graph approach for rainfall forecasting: A preliminary study case on London area

Francesco Colace, Fabio Clarizia, Marco Lombardi, 2020, Concurr. Comput. Pract. Exp..

Temporal Bayesian classifiers for modelling muscular dystrophy expression data

Allan Tucker, Peter A. C. 't Hoen, Xiaohui Liu, 2006, Intell. Data Anal..

Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout

Allan Tucker, Fadratul Hafinaz Hassan, F. H. Hassan, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Using Heuristic Search with Pedestrian Simulation Statistics to Find Feasible Spatial Layout Design Elements

Allan Tucker, Stephen Swift, Fadratul Hafinaz Hassan, 2014 .

Automatic Layout Design Solution

Allan Tucker, Fadratul Hafinaz Hassan, F. H. Hassan, 2011, IDA.

Modelling and analysing the dynamics of disease progression from cross-sectional studies

Yuanxi Li, Allan Tucker, Stephen Swift, 2013, J. Biomed. Informatics.

Uncovering disease regions using pseudo time-series trajectories on clinical trial data

Allan Tucker, Yuanxi Li, A. Tucker, 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset

Allan Tucker, Steve Counsell, Stephen Swift, 2009, IDA.

Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS)

A. Tucker, P. Myles, Zhenchen Wang, 2023, 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS).

Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London

Allan Tucker, Don Kirkup, D. Kirkup, 2014, IDA.

Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology

Andrew Kenny, David Maxwell, Allan Tucker, 2014, Discovery Science.

Literature-based priors for gene regulatory networks

M. Schuemie, P. Hoen, A. Tucker, 2009, Bioinform..

A Bayesian network approach to explaining time series with changing structure

Allan Tucker, Xiaohui Liu, Xiaohui Liu, 2004, Intell. Data Anal..

Improving predictive models of glaucoma severity by incorporating quality indicators

Steve Counsell, David F. Garway-Heath, Stephen Swift, 2014, Artif. Intell. Medicine.

Comparing, Contrasting and Combining Clusters in Viral Gene Expression

Allan Tucker, Christine A. Orengo, Paul Kellam, 2001 .

Using Bayesian Networks to Investigate the Influence of Subseasonal Arctic Variability on Midlatitude North Atlantic Circulation

A. Tucker, R. Hall, G. D. Capua, 2021, Journal of Climate.

Good news and bad news: Do online investor sentiments reaction to return news asymmetric?

Allan Tucker, Alya Al Nasseri, Faek Menla Ali, 2016, MIDAS@PKDD/ECML.

Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease

Seyed Erfan Sajjadi, J. Holmes, A. Tucker, 2020, PKDD/ECML Workshops.

A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs

Maged Ali, A. Tucker, C. Vitolo, 2018, International Journal of Environmental Research.