Allan Tucker
Orcid: 0000-0001-5105-3506
According to our database1,
Allan Tucker
authored at least 124 papers
between 1999 and 2023.
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Bibliography
2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS).
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
J. Biomed. Informatics, 2022
Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction.
Intell. Data Anal., 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022
Proceedings of the 11th International Conference on Data Science, 2022
2021
Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules.
Comput. Intell., 2021
Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy.
Comput. Intell., 2021
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection.
Comput. Intell., 2021
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development.
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software.
npj Digit. Medicine, 2020
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection.
CoRR, 2020
A multilevel graph approach for rainfall forecasting: A preliminary study case on London area.
Concurr. Comput. Pract. Exp., 2020
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.
Artif. Intell. Medicine, 2020
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease.
Proceedings of the ECML PKDD 2020 Workshops, 2020
Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications.
Proceedings of the ECML PKDD 2020 Workshops, 2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020
2019
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation.
Stat. Comput., 2019
An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma.
J. Heuristics, 2019
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., 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Fourth International Congress on Information and Communication Technology, 2019
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Proceedings of the Artificial Intelligence in Medicine, 2019
Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019
2018
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease.
J. Heal. Informatics Res., 2018
Ecol. Informatics, 2018
An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem.
Proceedings of the Intelligent Systems and Applications, 2018
Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Specimens as Research Objects: Reconciliation Across Distributed Repositories to Enable Metadata Propagation.
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
PeerJ Prepr., 2017
Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies".
Artif. Intell. Medicine, 2017
Artif. Intell. Medicine, 2017
Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
J. Open Source Softw., 2016
Environ. Model. Softw., 2016
Good news and bad news: Do online investor sentiments reaction to return news asymmetric?
Proceedings of the First Workshop on MIning DAta for financial applicationS (MIDAS 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics.
IEEE Trans. Educ., 2015
Quantifying StockTwits semantic terms' trading behavior in financial markets: An effective application of decision tree algorithms.
Expert Syst. Appl., 2015
Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology.
Ecol. Informatics, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015
Proceedings of the Foundations of Biomedical Knowledge Representation, 2015
2014
Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks.
IEEE J. Biomed. Health Informatics, 2014
Improving predictive models of glaucoma severity by incorporating quality indicators.
Artif. Intell. Medicine, 2014
Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology.
Proceedings of the Discovery Science - 17th International Conference, 2014
Proceedings of the Discovery Science - 17th International Conference, 2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Modelling and analysing the dynamics of disease progression from cross-sectional studies.
J. Biomed. Informatics, 2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
2012
J. Object Technol., 2012
2011
Proceedings of the Ensembles in Machine Learning Applications, 2011
Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy.
PLoS Comput. Biol., 2011
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011
Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings.
Proceedings of the Fourth IEEE International Conference on Software Testing, 2011
2010
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data.
IEEE Trans. Inf. Technol. Biomed., 2010
A niching genetic <i>k</i>-means algorithm and its applications to gene expression data.
Soft Comput., 2010
The identification of informative genes from multiple datasets with increasing complexity.
BMC Bioinform., 2010
Data Mining the Millennium Seedbank at Kew.
Proceedings of the Advances in Data Mining. 10th Industrial Conference, 2010
Using Uniform Crossover to Refine Simulated Annealing Solutions for Automatic Design of Spatial Layouts.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010
Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset.
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
2008
Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets.
J. Biomed. Informatics, 2008
2007
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study.
ACM SIGSOFT Softw. Eng. Notes, 2006
Intell. Data Anal., 2006
Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering.
Proceedings of the Computational Life Sciences II, 2006
2005
Evol. Comput., 2005
A spatio-temporal Bayesian network classifier for understanding visual field deterioration.
Artif. Intell. Medicine, 2005
Object-oriented cohesion as a surrogate of software comprehension: an empirical study.
Proceedings of the 5th IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2005), 30 September, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Intell. Data Anal., 2004
Consensus Clustering and Functional Interpretation of Gene Expression Data.
Proceedings of the 5th Annual Spanish Bioinformatics Conference, Barcelona, Catalonia, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
2003
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software.
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
Intell. Data Anal., 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
Grouping multivariate time series variables: applications to chemical process and visual field data.
Knowl. Based Syst., 2001
Int. J. Intell. Syst., 2001
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001
Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis.
Proceedings of the ICEIS 2001, 2001
1999
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999