Allan Tucker - RankMe

145 papers A 4B 53C 3Journal 53Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Audit of Machine Learning Experiments on Software Defect Prediction. CoRR Giuseppe Destefanis, Leila Yousefi, Martin J. Shepperd, Allan Tucker, Stephen Swift, Steve Counsell, Mahir Arzoky
2026	J	`jnl`	An audit of machine learning experiments on software defect prediction. Empir. Softw. Eng. Giuseppe Destefanis, Leila Yousefi, Martin J. Shepperd, Allan Tucker, Stephen Swift, Steve Counsell, Mahir Arzoky
2026	B	`conf`	Combining Dynamic Bayesian Networks with Population Dynamics Modelling to Predict Breeding Success in Seabirds. IDA Alan Anderson, Neda Trifonova, Beth E. Scott, Allan Tucker
2026	B	`conf`	Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh. IDA Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker
2026	J	`jnl`	Probabilistic Versus Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data. Int. J. Comput. Intell. Syst. Dima R. Alattal, Barbara Draghi, Puja Myles, Richard Branson, Allan Tucker
2025	—	`conf`	Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data. AIME (2) Chiara Pullega, Arianna Dagliati, Allan Tucker
2025	J	`jnl`	Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations. CoRR Dima R. Alattal, Asal Khoshravan Azar, Puja Myles, Richard Branson, Hatim Abdulhussein, Allan Tucker
2025	J	`jnl`	Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh. CoRR Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker
2025	J	`jnl`	Towards medical AI misalignment: a preliminary study. CoRR Barbara Puccio, Federico Castagna, Allan Tucker, Pierangelo Veltri
2024	—	`conf`	Clustering Pseudo Time Series: Exploring Trajectories in the Ageing Process. pHealth Barbara Puccio, Allan Tucker, Pierangelo Veltri
2024	—	`conf`	Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. IDA (1) Ylenia Rotalinti, Puja Myles, Allan Tucker
2023	B	`ed.`	Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings AIME Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker
2023	B	`conf`	Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). CBMS Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker
2023	B	`conf`	Privacy Assessment of Synthetic Patient Data. CBMS Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker
2023	B	`conf`	The Impact of Bias on Drift Detection in AI Health Software. AIME Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker
2023	—	`conf`	Using Clustering Ensembles and Heuristic Search to Estimate the Number of Clusters in Datasets. IntelliSys (3) Afees Adegoke Odebode, Mahir Arzoky, Allan Tucker, Ashley Mann, Faisal Maramazi, Stephen Swift
2022	—	`conf`	A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis. ICIMTH Marinela Branescu, Stephen Swift, Allan Tucker
2022	—	`conf`	Detecting Drift in Healthcare AI Models Based on Data Availability. PKDD/ECML Workshops (2) Ylenia Rotalinti, Allan Tucker, Michael Lonergan, Puja Myles, Richard Branson
2022	C	`conf`	Estimating the Optimal Number of Clusters from Subsets of Ensembles. DATA Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift
2022	C	`conf`	Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. ICMLA Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker
2022	J	`jnl`	Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction. Intell. Data Anal. Leila Yousefi, Allan Tucker
2022	—	`conf`	Intelligently Detecting Information Online-Weaponisation Trends (IDIOT). PKDD/ECML Workshops (1) Fawzia Zehra Kara-Isitt, Stephen Swift, Allan Tucker
2022	—	`conf`	Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. MIUA Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
2022	J	`jnl`	Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. CoRR Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
2022	J	`jnl`	New JBI policy emphasizes clinically-meaningful novel machine learning methods. J. Biomed. Informatics Allan Tucker, Thomas George Kannampallil, Samah Jamal Fodeh, Mor Peleg
2022	J	`jnl`	On Calibrated Model Uncertainty in Deep Learning. CoRR Biraja Ghoshal, Allan Tucker
2022	B	`conf`	dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images. IDA Toyah Overton, Allan Tucker, Tim James, Dimitar Hristozov
2021	B	`ed.`	Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings AIME Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño
2021	—	`conf`	BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. LIDTA@ECML/PKDD Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker
2021	B	`conf`	Bayesian Deep Active Learning for Medical Image Analysis. AIME Biraja Ghoshal, Stephen Swift, Allan Tucker
2021	J	`jnl`	Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection. Comput. Intell. Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
2021	B	`conf`	Evaluating a Longitudinal Synthetic Data Generator using Real World Data. CBMS Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker
2021	B	`conf`	Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression. CBMS Seyed Erfan Sajjadi, Allan Tucker
2021	J	`jnl`	Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy. Comput. Intell. Zhenchen Wang, Puja Myles, Allan Tucker
2021	B	`conf`	Hyperspherical Weight Uncertainty in Neural Networks. IDA Biraja Ghoshal, Allan Tucker
2021	B	`conf`	On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. CBMS Biraja Ghoshal, Allan Tucker
2021	J	`jnl`	Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules. Comput. Intell. Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker
2021	B	`conf`	Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
2021	J	`jnl`	Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
2020	J	`jnl`	A multilevel graph approach for rainfall forecasting: A preliminary study case on London area. Concurr. Comput. Pract. Exp. Fabio Clarizia, Francesco Colace, Massimo De Santo, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker
2020	—	`conf`	Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. PKDD/ECML Workshops Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker
2020	B	`conf`	DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images. IDA Toyah Overton, Allan Tucker
2020	J	`jnl`	Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. CoRR Biraja Ghoshal, Allan Tucker
2020	B	`conf`	Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. IDA Biraja Ghoshal, Cecilia Lindskog, Allan Tucker
2020	J	`jnl`	Generating high-fidelity synthetic patient data for assessing machine learning healthcare software. npj Digit. Medicine Allan Tucker, Zhenchen Wang, Ylenia Rotalinti, Puja Myles
2020	—	`conf`	Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks. PKDD/ECML Workshops Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
2020	—	`conf`	Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications. PKDD/ECML Workshops Benjamin C. Evans, Allan Tucker, Oliver R. Wearn, Chris Carbone
2020	A	`conf`	Using the Lexicon from Source Code to Determine Application Domain. EASE Andrea Capiluppi, Nemitari Ajienka, Nour Ali, Mahir Arzoky, Steve Counsell, Giuseppe Destefanis, Alina Dana Miron, Bhaveet Nagaria, Rumyana Neykova, Martin J. Shepperd, Stephen Swift, Allan Tucker
2020	J	`jnl`	Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. Artif. Intell. Medicine Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker
2019	—	`conf`	A Multilevel Graph Approach for Predicting Bicycle Usage in London Area. ICICT (2) Francesco Colace, Massimo De Santo, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker
2019	J	`jnl`	An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma. J. Heuristics Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift
2019	B	`conf`	Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data. CBMS Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
2019	B	`conf`	Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy. CBMS Zhenchen Wang, Puja Myles, Allan Tucker
2019	B	`conf`	Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. AIME Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker
2019	B	`conf`	Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. CBMS Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker
2019	J	`jnl`	Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. Stat. Comput. Marco Scutari, Claudia Vitolo, Allan Tucker
2019	B	`conf`	Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker
2019	—	`conf`	Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. AIED (1) Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker
2019	J	`jnl`	Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models. Environ. Model. Softw. Ana D. Maldonado, Laura Uusitalo, Allan Tucker, Thorsten Blenckner, Pedro Aguilera Aguilera, Antonio Salmerón
2019	B	`conf`	Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. CBMS Bashir I. Dodo, Yongmin Li, Allan Tucker, Djibril Kaba, Xiaohui Liu
2019	—	`conf`	The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
2019	J	`jnl`	The Prevalence of Errors in Machine Learning Experiments. CoRR Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
2018	—	`conf`	An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem. IntelliSys (1) Samy Ayed, Mahir Arzoky, Stephen Swift, Steve Counsell, Allan Tucker
2018	J	`jnl`	Hidden variables in a Dynamic Bayesian Network identify ecosystem level change. Ecol. Informatics Laura Uusitalo, Maciej T. Tomczak, Bärbel Müller-Karulis, Ivars Putnis, Neda Trifonova, Allan Tucker
2018	—	`conf`	Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets. IDEAL (1) Roja Ahmadi, Robert D. Macredie, Allan Tucker
2018	—	`conf`	MuG: A Multilevel Graph Representation for Big Data Interpretation. HPCC/SmartCity/DSS Francesco Colace, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker, Paolo Villani
2018	J	`jnl`	Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease. J. Heal. Informatics Res. Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker
2018	—	`conf`	Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker
2018	B	`conf`	Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. CBMS Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato
2018	—	`conf`	Specimens as Research Objects: Reconciliation Across Distributed Repositories to Enable Metadata Propagation. eScience Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker
2018	J	`jnl`	Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation. CoRR Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker
2017	B	`conf`	A Deconstructed Replication of a Time of Test Study Using the AGIS Metric. CBMS Steve Counsell, Stephen Swift, Allan Tucker
2017	B	`ed.`	Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings IDA Niall M. Adams, Allan Tucker, David John Weston
2017	B	`conf`	Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips. IDA Nicky Nicolson, Allan Tucker
2017	B	`conf`	Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. CBMS Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker
2017	J	`jnl`	Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies". Artif. Intell. Medicine Allan Tucker, Yuanxi Li, David Garway-Heath
2017	J	`jnl`	Stability analysis of MTopGO for module identification in PPI networks. PeerJ Prepr. Danila Vella, Allan Tucker, Riccardo Bellazzi
2017	J	`jnl`	Updating Markov models to integrate cross-sectional and longitudinal studies. Artif. Intell. Medicine Allan Tucker, Yuanxi Li, David Garway-Heath
2016	J	`jnl`	A Bayesian Belief Network to assess rate of changes in coral reef ecosystems. Environ. Model. Softw. Chiara Franco, Leanne Appleby Hepburn, David J. Smith, Stephen Nimrod, Allan Tucker
2016	B	`conf`	Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. CBMS Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton
2016	—	`conf`	Good news and bad news: Do online investor sentiments reaction to return news asymmetric? MIDAS@PKDD/ECML Alya Al Nasseri, Faek Menla Ali, Allan Tucker
2016	B	`conf`	Simultaneous Modelling and Clustering of Visual Field Data. CBMS Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift
2016	B	`conf`	The AGIS Metric and Time of Test: A Replication Study. CBMS Steve Counsell, Stephen Swift, Allan Tucker
2016	J	`jnl`	rdefra: Interact with the UK AIR Pollution Database from DEFRA. J. Open Source Softw. Claudia Vitolo, Andrew Russell, Allan Tucker
2015	J	`jnl`	Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics. IEEE Trans. Educ. Michael James Scott, Steve Counsell, Stanislao Lauria, Stephen Swift, Allan Tucker, Martin J. Shepperd, Gheorghita Ghinea
2015	—	`ch.`	Prediction and Prognosis of Health and Disease. Foundations of Biomedical Knowledge Representation Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel
2015	J	`jnl`	Quantifying StockTwits semantic terms' trading behavior in financial markets: An effective application of decision tree algorithms. Expert Syst. Appl. Alya Al Nasseri, Allan Tucker, Sergio de Cesare
2015	J	`jnl`	Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology. Ecol. Informatics Neda Trifonova, Andrew Kenny, David L. Maxwell, Daniel Duplisea, Jose A. Fernandes, Allan Tucker
2015	—	`ch.`	Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies. Foundations of Biomedical Knowledge Representation Allan Tucker, Yuanxi Li, Stefano Ceccon, Stephen Swift
2015	B	`conf`	Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies. AIME Allan Tucker, Yuanxi Li
2014	B	`conf`	A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries. IDA Neda Trifonova, Daniel Duplisea, Andrew Kenny, Allan Tucker
2014	B	`conf`	Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market. Discovery Science Alya Al Nasseri, Allan Tucker, Sergio de Cesare
2014	B	`conf`	Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'. IDA Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters
2014	J	`jnl`	Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks. IEEE J. Biomed. Health Informatics Stefano Ceccon, David F. Garway-Heath, David P. Crabb, Allan Tucker
2014	B	`conf`	Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London. IDA Allan Tucker, Don Kirkup
2014	J	`jnl`	Improving predictive models of glaucoma severity by incorporating quality indicators. Artif. Intell. Medicine Lucia Sacchi, Allan Tucker, Steve Counsell, David Garway-Heath, Stephen Swift
2014	B	`conf`	Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology. Discovery Science Neda Trifonova, Daniel Duplisea, Andrew Kenny, David L. Maxwell, Allan Tucker
2014	B	`conf`	Integrating Clinical Data from Cross-Sectional and Longitudinal Studies. CBMS Yuanxi Li, Allan Tucker
2013	B	`ed.`	Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings IDA Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
2013	B	`conf`	Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks. IDA Valeria Bo, Artem Lysenko, Mansoor A. S. Saqi, Dimah Z. Habash, Allan Tucker
2013	J	`jnl`	Modelling and analysing the dynamics of disease progression from cross-sectional studies. J. Biomed. Informatics Yuanxi Li, Stephen Swift, Allan Tucker
2013	B	`conf`	The Modelling of Glaucoma Progression through the Use of Cellular Automata. IDA Stelios Pavlidis, Stephen Swift, Allan Tucker, Steve Counsell
2012	J	`jnl`	A Seeded Search for the Modularisation of Sequential Software Versions. J. Object Technol. Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain
2012	B	`ed.`	Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings IDA Jaakko Hollmén, Frank Klawonn, Allan Tucker
2011	B	`conf`	Automatic Layout Design Solution. IDA Fadratul Hafinaz Hassan, Allan Tucker
2011	—	`ch.`	Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise. Ensembles in Machine Learning Applications Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker
2011	B	`conf`	Integrating Marine Species Biomass Data by Modelling Functional Knowledge. IDA Allan Tucker, Daniel Duplisea
2011	J	`jnl`	Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy. PLoS Comput. Biol. Seyed Yahya Anvar, Allan Tucker, Veronica Vinciotti, Andrea Venema, Gert-Jan B. van Ommen, Silvere M. van der Maarel, Vered Raz, Peter A. C. 't Hoen
2011	—	`conf`	Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. ICST Workshops Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain
2011	B	`conf`	The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process. IDA Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker
2010	J	`jnl`	A niching genetic Soft Comput. Weiguo Sheng, Allan Tucker, Xiaohui Liu
2010	—	`conf`	Data Mining the Millennium Seedbank at Kew. ICDM (Workshops) Allan Tucker, Stephen Swift, Steve Counsell, Simon Kent, John Dickie, Kenwin Liu, Robert Turner
2010	J	`jnl`	The identification of informative genes from multiple datasets with increasing complexity. BMC Bioinform. Seyed Yahya Anvar, Peter A. C. 't Hoen, Allan Tucker
2010	J	`jnl`	The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data. IEEE Trans. Inf. Technol. Biomed. Allan Tucker, David Garway-Heath
2010	—	`conf`	Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout. ICTAI (2) Fadratul Hafinaz Hassan, Allan Tucker
2010	—	`conf`	Using Uniform Crossover to Refine Simulated Annealing Solutions for Automatic Design of Spatial Layouts. IJCCI (ICEC) Fadratul Hafinaz Hassan, Allan Tucker
2009	B	`conf`	An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. IDA James Cain, Steve Counsell, Stephen Swift, Allan Tucker
2009	J	`jnl`	Literature-based priors for gene regulatory networks. Bioinform. Emma Steele, Allan Tucker, Peter A. C. 't Hoen, Martijn J. Schuemie
2009	B	`conf`	Selecting and Weighting Data for Building Consensus Gene Regulatory Networks. IDA Emma Steele, Allan Tucker
2008	J	`jnl`	Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets. J. Biomed. Informatics Emma Steele, Allan Tucker
2007	A	`conf`	An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data. GECCO Stephen Swift, Allan Tucker, Jason Crampton, David Garway-Heath
2007	A	`conf`	Efficiency updates for the restricted growth function GA for grouping problems. GECCO Allan Tucker, Stephen Swift, Jason Crampton
2007	B	`conf`	Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data. IDA Emma Peeling, Allan Tucker
2006	—	`conf`	Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering. CompLife Michael Hirsch, Allan Tucker, Stephen Swift, Nigel J. Martin, Christine A. Orengo, Paul Kellam, Xiaohui Liu
2006	J	`jnl`	Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study. ACM SIGSOFT Softw. Eng. Notes Steve Counsell, Stephen Swift, Allan Tucker, Emilia Mendes
2006	J	`jnl`	Temporal Bayesian classifiers for modelling muscular dystrophy expression data. Intell. Data Anal. Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, Xiaohui Liu
2005	J	`jnl`	A spatio-temporal Bayesian network classifier for understanding visual field deterioration. Artif. Intell. Medicine Allan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath
2005	B	`conf`	Bayesian Network Classifiers for Time-Series Microarray Data. IDA Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu
2005	B	`conf`	ICARUS: intelligent coupon allocation for retailers using search. Congress on Evolutionary Computation Stephen Swift, Amy Shi, Jason Crampton, Allan Tucker
2005	C	`conf`	Object-oriented cohesion as a surrogate of software comprehension: an empirical study. SCAM Steve Counsell, Stephen Swift, Allan Tucker
2005	J	`jnl`	RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms. Evol. Comput. Allan Tucker, Jason Crampton, Stephen Swift
2004	J	`jnl`	A Bayesian network approach to explaining time series with changing structure. Intell. Data Anal. Allan Tucker, Xiaohui Liu
2004	—	`conf`	Clustering with Niching Genetic K-means Algorithm. GECCO (2) Weiguo Sheng, Allan Tucker, Xiaohui Liu
2004	—	`conf`	Consensus Clustering and Functional Interpretation of Gene Expression Data. Spanish Bioinformatics Conference Paul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu
2003	B	`conf`	Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software. IDA Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker
2003	B	`conf`	Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies. IDA Allan Tucker, Xiaohui Liu
2003	A	`conf`	Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data. GECCO Allan Tucker, Xiaohui Liu, David Garway-Heath
2002	J	`jnl`	A framework for modelling virus gene expression data. Intell. Data Anal. Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker
2002	J	`jnl`	Evolutionary algorithms for grouping high dimensional Email data. Intell. Data Anal. Steve Counsell, Xiaohui Liu, Janet McFall, Stephen Swift, Allan Tucker
2001	B	`conf`	A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. IDA Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker
2001	J	`jnl`	Evolutionary learning of dynamic probabilistic models with large time lags. Int. J. Intell. Syst. Allan Tucker, Xiaohui Liu, Andrew Ogden-Swift
2001	J	`jnl`	Grouping multivariate time series variables: applications to chemical process and visual field data. Knowl. Based Syst. Stephen Swift, Allan Tucker, Nigel J. Martin, Xiaohui Liu
2001	—	`conf`	Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis. ICEIS (1) Steve Counsell, Xiaohui Liu, Stephen Swift, Allan Tucker, Janet McFall
2001	J	`jnl`	Variable grouping in multivariate time series via correlation. IEEE Trans. Syst. Man Cybern. Part B Allan Tucker, Stephen Swift, Xiaohui Liu
1999	B	`conf`	Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series. IDA Stephen Swift, Allan Tucker, Xiaohui Liu