| 2026 | IDA | Combining Dynamic Bayesian Networks with Population Dynamics Modelling to Predict Breeding Success in Seabirds. | Alan Anderson, Neda Trifonova, Beth E. Scott, Allan Tucker |
| 2026 | IDA | Predicting and Interpolating Spatiotemporal Environmental Data: A Case Study of Groundwater Storage in Bangladesh. | Anna Pazola, Mohammad Shamsudduha, Richard G. Taylor, Allan Tucker |
| 2025 | AIME | Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data. | Chiara Pullega, Arianna Dagliati, Allan Tucker |
| 2024 | IDA | Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. | Ylenia Rotalinti, Puja Myles, Allan Tucker |
| 2023 | AIME | The Impact of Bias on Drift Detection in AI Health Software. | Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker |
| 2023 | CBMS | Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). | Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker |
| 2023 | CBMS | Privacy Assessment of Synthetic Patient Data. | Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker |
| 2022 | DATA | Estimating the Optimal Number of Clusters from Subsets of Ensembles. | Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift |
| 2022 | ICMLA | Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. | Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker |
| 2022 | IDA | dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images. | Toyah Overton, Allan Tucker, Tim James, Dimitar Hristozov |
| 2021 | AIME | Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. | Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker |
| 2021 | AIME | Bayesian Deep Active Learning for Medical Image Analysis. | Biraja Ghoshal, Stephen Swift, Allan Tucker |
| 2021 | CBMS | On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. | Biraja Ghoshal, Allan Tucker |
| 2021 | CBMS | Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression. | Seyed Erfan Sajjadi, Allan Tucker |
| 2021 | CBMS | Evaluating a Longitudinal Synthetic Data Generator using Real World Data. | Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker |
| 2021 | IDA | Hyperspherical Weight Uncertainty in Neural Networks. | Biraja Ghoshal, Allan Tucker |
| 2020 | EASE | Using the Lexicon from Source Code to Determine Application Domain. | 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 | IDA | Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. | Biraja Ghoshal, Cecilia Lindskog, Allan Tucker |
| 2020 | IDA | DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images. | Toyah Overton, Allan Tucker |
| 2019 | AIED | Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. | Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker |
| 2019 | AIME | Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. | Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker |
| 2019 | CBMS | Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. | Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker |
| 2019 | CBMS | Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. | Bashir I. Dodo, Yongmin Li, Allan Tucker, Djibril Kaba, Xiaohui Liu |
| 2019 | CBMS | Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data. | Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong |
| 2019 | CBMS | Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy. | Zhenchen Wang, Puja Myles, Allan Tucker |
| 2019 | CBMS | Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. | Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker |
| 2019 | IDEAL | The Prevalence of Errors in Machine Learning Experiments. | Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi |
| 2018 | CBMS | Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. | Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato |
| 2018 | HPCC | MuG: A Multilevel Graph Representation for Big Data Interpretation. | Francesco Colace, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker, Paolo Villani |
| 2018 | IDEAL | Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets. | Roja Ahmadi, Robert D. Macredie, Allan Tucker |
| 2017 | CBMS | A Deconstructed Replication of a Time of Test Study Using the AGIS Metric. | Steve Counsell, Stephen Swift, Allan Tucker |
| 2017 | CBMS | Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. | Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker |
| 2017 | IDA | Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips. | Nicky Nicolson, Allan Tucker |
| 2016 | CBMS | Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. | Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton |
| 2016 | CBMS | The AGIS Metric and Time of Test: A Replication Study. | Steve Counsell, Stephen Swift, Allan Tucker |
| 2016 | CBMS | Simultaneous Modelling and Clustering of Visual Field Data. | Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift |
| 2015 | AIME | Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies. | Allan Tucker, Yuanxi Li |
| 2014 | CBMS | Integrating Clinical Data from Cross-Sectional and Longitudinal Studies. | Yuanxi Li, Allan Tucker |
| 2014 | DIS | Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market. | Alya Al Nasseri, Allan Tucker, Sergio de Cesare |
| 2014 | DIS | Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology. | Neda Trifonova, Daniel Duplisea, Andrew Kenny, David L. Maxwell, Allan Tucker |
| 2014 | IDA | Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'. | Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters |
| 2014 | IDA | A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries. | Neda Trifonova, Daniel Duplisea, Andrew Kenny, Allan Tucker |
| 2014 | IDA | Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London. | Allan Tucker, Don Kirkup |
| 2013 | IDA | Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks. | Valeria Bo, Artem Lysenko, Mansoor A. S. Saqi, Dimah Z. Habash, Allan Tucker |
| 2013 | IDA | The Modelling of Glaucoma Progression through the Use of Cellular Automata. | Stelios Pavlidis, Stephen Swift, Allan Tucker, Steve Counsell |
| 2011 | ICST | Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. | Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain |
| 2011 | IDA | The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process. | Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker |
| 2011 | IDA | Automatic Layout Design Solution. | Fadratul Hafinaz Hassan, Allan Tucker |
| 2011 | IDA | Integrating Marine Species Biomass Data by Modelling Functional Knowledge. | Allan Tucker, Daniel Duplisea |
| 2010 | IJCCI | Using Uniform Crossover to Refine Simulated Annealing Solutions for Automatic Design of Spatial Layouts. | Fadratul Hafinaz Hassan, Allan Tucker |
| 2010 | ICTAI | Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout. | Fadratul Hafinaz Hassan, Allan Tucker |
| 2009 | IDA | An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. | James Cain, Steve Counsell, Stephen Swift, Allan Tucker |
| 2009 | IDA | Selecting and Weighting Data for Building Consensus Gene Regulatory Networks. | Emma Steele, Allan Tucker |
| 2007 | GECCO | An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data. | Stephen Swift, Allan Tucker, Jason Crampton, David Garway-Heath |
| 2007 | GECCO | Efficiency updates for the restricted growth function GA for grouping problems. | Allan Tucker, Stephen Swift, Jason Crampton |
| 2007 | IDA | Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data. | Emma Peeling, Allan Tucker |
| 2005 | CEC | ICARUS: intelligent coupon allocation for retailers using search. | Stephen Swift, Amy Shi, Jason Crampton, Allan Tucker |
| 2005 | IDA | Bayesian Network Classifiers for Time-Series Microarray Data. | Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu |
| 2005 | SCAM | Object-oriented cohesion as a surrogate of software comprehension: an empirical study. | Steve Counsell, Stephen Swift, Allan Tucker |
| 2004 | GECCO | Clustering with Niching Genetic K-means Algorithm. | Weiguo Sheng, Allan Tucker, Xiaohui Liu |
| 2003 | GECCO | Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data. | Allan Tucker, Xiaohui Liu, David Garway-Heath |
| 2003 | IDA | Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software. | Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker |
| 2003 | IDA | Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies. | Allan Tucker, Xiaohui Liu |
| 2001 | IDA | A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. | Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker |
| 1999 | IDA | Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series. | Stephen Swift, Allan Tucker, Xiaohui Liu |