Allan Tucker

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 70

Top Venues

Publications

Ylenia Rotalinti, Puja Myles, Allan Tucker
Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. IDA (1) (2024)
Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker
Privacy Assessment of Synthetic Patient Data. CBMS (2023)
Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker
Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). CBMS (2023)
Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker
The Impact of Bias on Drift Detection in AI Health Software. AIME (2023)
Fawzia Zehra Kara-Isitt, Stephen Swift, Allan Tucker
Intelligently Detecting Information Online-Weaponisation Trends (IDIOT). PKDD/ECML Workshops (1) (2022)
Biraja Ghoshal, Allan Tucker
On Calibrated Model Uncertainty in Deep Learning. CoRR (2022)
Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. CoRR (2022)
Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift
Estimating the Optimal Number of Clusters from Subsets of Ensembles. DATA (2022)
Marinela Branescu, Stephen Swift, Allan Tucker
A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis. ICIMTH (2022)
Toyah Overton, Allan Tucker, Tim James, Dimitar Hristozov
dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images. IDA (2022)
Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. MIUA (2022)
Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. ICMLA (2022)
Allan Tucker, Thomas George Kannampallil, Samah Jarad Fodeh, Mor Peleg
New JBI policy emphasizes clinically-meaningful novel machine learning methods. J. Biomed. Informatics 127 (2022)
Leila Yousefi, Allan Tucker
Identifying latent variables in Dynamic Bayesian Networks with bootstrapping applied to Type 2 Diabetes complication prediction. Intell. Data Anal. 26 (2) (2022)
Ylenia Rotalinti, Allan Tucker, Michael Lonergan, Puja Myles, Richard Branson
Detecting Drift in Healthcare AI Models Based on Data Availability. PKDD/ECML Workshops (2) (2022)
Zhenchen Wang, Puja Myles, Allan Tucker
Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy. Comput. Intell. 37 (2) (2021)
Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker
Evaluating a Longitudinal Synthetic Data Generator using Real World Data. CBMS (2021)
Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker
BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. LIDTA@ECML/PKDD (2021)
Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Saachi, Luca Chiovato, Allan Tucker
Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules. Comput. Intell. 37 (4) (2021)
Biraja Ghoshal, Allan Tucker
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. CBMS (2021)
Seyed Erfan Sajjadi, Allan Tucker
Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression. CBMS (2021)
Biraja Ghoshal, Allan Tucker
Hyperspherical Weight Uncertainty in Neural Networks. IDA (2021)
Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR (2021)
Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME (2021)
Biraja Ghoshal, Stephen Swift, Allan Tucker
Bayesian Deep Active Learning for Medical Image Analysis. AIME (2021)
Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection. Comput. Intell. 37 (2) (2021)
Benjamin C. Evans, Allan Tucker, Oliver R. Wearn, Chris Carbone
Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications. PKDD/ECML Workshops (2020)
Allan Tucker, Zhenchen Wang, Ylenia Rotalinti, Puja Myles
Generating high-fidelity synthetic patient data for assessing machine learning healthcare software. npj Digit. Medicine 3 (2020)
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
Using the Lexicon from Source Code to Determine Application Domain. EASE (2020)
Toyah Overton, Allan Tucker
DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images. IDA (2020)
Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks. PKDD/ECML Workshops (2020)
Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliati, John H. Holmes, Allan Tucker
Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease. PKDD/ECML Workshops (2020)
Biraja Ghoshal, Allan Tucker
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. CoRR (2020)
Fabio Clarizia, Francesco Colace, Massimo De Santo, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker
A multilevel graph approach for rainfall forecasting: A preliminary study case on London area. Concurr. Comput. Pract. Exp. 32 (8) (2020)
Biraja Ghoshal, Cecilia Lindskog, Allan Tucker
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. IDA (2020)
Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Riccardo Bellazzi, Seyed Erfan Sajjadi, Allan Tucker
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records. Artif. Intell. Medicine 108 (2020)
Bashir I. Dodo, Yongmin Li, Allan Tucker, Djibril Kaba, Xiaohui Liu
Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. CBMS (2019)
Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
The Prevalence of Errors in Machine Learning Experiments. CoRR (2019)
Ana D. Maldonado, Laura Uusitalo, Allan Tucker, Thorsten Blenckner, Pedro Aguilera Aguilera, Antonio Salmerón
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. 118 (2019)
Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS (2019)
Francesco Colace, Massimo De Santo, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker
A Multilevel Graph Approach for Predicting Bicycle Usage in London Area. ICICT (2) (2019)
Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift
An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma. J. Heuristics 25 (6) (2019)
Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker
Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction. CBMS (2019)
Arianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. AIME (2019)
Zhenchen Wang, Puja Myles, Allan Tucker
Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy. CBMS (2019)
Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) (2019)
Marco Scutari, Claudia Vitolo, Allan Tucker
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. Stat. Comput. 29 (5) (2019)
Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker
Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. AIED (1) (2019)
Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data. CBMS (2019)
Samy Ayed, Mahir Arzoky, Stephen Swift, Steve Counsell, Allan Tucker
An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem. IntelliSys (1) (2018)
Roja Ahmadi, Robert D. Macredie, Allan Tucker
Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets. IDEAL (1) (2018)
Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker
Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation. CoRR (2018)
Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM (2018)
Leila Yousefi, Allan Tucker, Mashael Al-Luhaybi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato
Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks. CBMS (2018)
Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker
Specimens as Research Objects: Reconciliation Across Distributed Repositories to Enable Metadata Propagation. eScience (2018)
Laura Uusitalo, Maciej T. Tomczak, Bärbel Müller-Karulis, Ivars Putnis, Neda Trifonova, Allan Tucker
Hidden variables in a Dynamic Bayesian Network identify ecosystem level change. Ecol. Informatics 45 (2018)
Francesco Colace, Marco Lombardi, Francesco Pascale, Domenico Santaniello, Allan Tucker, Paolo Villani
MuG: A Multilevel Graph Representation for Big Data Interpretation. HPCC/SmartCity/DSS (2018)
Awad Alsaid Alyousef, Svetlana I. Nihtyanova, Christopher P. Denton, Pietro Bosoni, Riccardo Bellazzi, Allan Tucker
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease. J. Heal. Informatics Res. 2 (4) (2018)
Allan Tucker, Yuanxi Li, David Garway-Heath
Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies". Artif. Intell. Medicine 81 (2017)
Allan Tucker, Yuanxi Li, David Garway-Heath
Updating Markov models to integrate cross-sectional and longitudinal studies. Artif. Intell. Medicine 77 (2017)
Nicky Nicolson, Allan Tucker
Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips. IDA (2017)
Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker
Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. CBMS (2017)
Steve Counsell, Stephen Swift, Allan Tucker
A Deconstructed Replication of a Time of Test Study Using the AGIS Metric. CBMS (2017)
Danila Vella, Allan Tucker, Riccardo Bellazzi
Stability analysis of MTopGO for module identification in PPI networks. PeerJ Prepr. 5 (2017)
Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton
Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. CBMS (2016)
Alya Al Nasseri, Faek Menla Ali, Allan Tucker
Good news and bad news: Do online investor sentiments reaction to return news asymmetric? MIDAS@PKDD/ECML (2016)
Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift
Simultaneous Modelling and Clustering of Visual Field Data. CBMS (2016)
Steve Counsell, Stephen Swift, Allan Tucker
The AGIS Metric and Time of Test: A Replication Study. CBMS (2016)
Chiara Franco, Leanne Appleby Hepburn, David J. Smith, Stephen Nimrod, Allan Tucker
A Bayesian Belief Network to assess rate of changes in coral reef ecosystems. Environ. Model. Softw. 80 (2016)
Claudia Vitolo, Andrew Russell, Allan Tucker
rdefra: Interact with the UK AIR Pollution Database from DEFRA. J. Open Source Softw. 1 (4) (2016)
Allan Tucker, Yuanxi Li
Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies. AIME (2015)
Neda Trifonova, Andrew Kenny, David Maxwell, Daniel Duplisea, Jose A. Fernandes, Allan Tucker
Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology. Ecol. Informatics 30 (2015)
Alya Al Nasseri, Allan Tucker, Sergio de Cesare
Quantifying StockTwits semantic terms' trading behavior in financial markets: An effective application of decision tree algorithms. Expert Syst. Appl. 42 (23) (2015)
Michael James Scott, Steve Counsell, Stanislao Lauria, Stephen Swift, Allan Tucker, Martin J. Shepperd, Gheorghita Ghinea
Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics. IEEE Trans. Educ. 58 (4) (2015)
Stefano Ceccon, David F. Garway-Heath, David P. Crabb, Allan Tucker
Exploring Early Glaucoma and the Visual Field Test: Classification and Clustering Using Bayesian Networks. IEEE J. Biomed. Health Informatics 18 (3) (2014)
Yuanxi Li, Allan Tucker
Integrating Clinical Data from Cross-Sectional and Longitudinal Studies. CBMS (2014)
Allan Tucker, Don Kirkup
Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London. IDA (2014)
Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters
Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'. IDA (2014)
Lucia Sacchi, Allan Tucker, Steve Counsell, David Garway-Heath, Stephen Swift
Improving predictive models of glaucoma severity by incorporating quality indicators. Artif. Intell. Medicine 60 (2) (2014)
Neda Trifonova, Daniel Duplisea, Andrew Kenny, David Maxwell, Allan Tucker
Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology. Discovery Science (2014)
Neda Trifonova, Daniel Duplisea, Andrew Kenny, Allan Tucker
A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries. IDA (2014)
Alya Al Nasseri, Allan Tucker, Sergio de Cesare
Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market. Discovery Science (2014)
Valeria Bo, Artem Lysenko, Mansoor Saqi, Dimah Z. Habash, Allan Tucker
Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks. IDA (2013)
Stelios Pavlidis, Stephen Swift, Allan Tucker, Steve Counsell
The Modelling of Glaucoma Progression through the Use of Cellular Automata. IDA (2013)
Yuanxi Li, Stephen Swift, Allan Tucker
Modelling and analysing the dynamics of disease progression from cross-sectional studies. J. Biomed. Informatics 46 (2) (2013)
Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain
A Seeded Search for the Modularisation of Sequential Software Versions. J. Object Technol. 11 (2) (2012)
Allan Tucker, Daniel Duplisea
Integrating Marine Species Biomass Data by Modelling Functional Knowledge. IDA (2011)
Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain
Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. ICST Workshops (2011)
Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker
The Dynamic Stage Bayesian Network: Identifying and Modelling Key Stages in a Temporal Process. IDA (2011)
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
Interspecies Translation of Disease Networks Increases Robustness and Predictive Accuracy. PLoS Comput. Biol. 7 (11) (2011)
Fadratul Hafinaz Hassan, Allan Tucker
Automatic Layout Design Solution. IDA (2011)
Allan Tucker, Stephen Swift, Steve Counsell, Simon Kent, John Dickie, Kenwin Liu, Robert Turner
Data Mining the Millennium Seedbank at Kew. ICDM (Workshops) (2010)
Fadratul Hafinaz Hassan, Allan Tucker
Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout. ICTAI (2) (2010)
Allan Tucker, David Garway-Heath
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data. IEEE Trans. Inf. Technol. Biomed. 14 (1) (2010)
Weiguo Sheng, Allan Tucker, Xiaohui Liu
-means algorithm and its applications to gene expression data. Soft Comput. 14 (1) (2010)
Fadratul Hafinaz Hassan, Allan Tucker
Using Uniform Crossover to Refine Simulated Annealing Solutions for Automatic Design of Spatial Layouts. IJCCI (ICEC) (2010)
Seyed Yahya Anvar, Peter A. C. 't Hoen, Allan Tucker
The identification of informative genes from multiple datasets with increasing complexity. BMC Bioinform. 11 (2010)
Emma Steele, Allan Tucker, Peter A. C. 't Hoen, Martijn J. Schuemie
Literature-based priors for gene regulatory networks. Bioinform. 25 (14) (2009)
James Cain, Steve Counsell, Stephen Swift, Allan Tucker
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. IDA (2009)
Emma Steele, Allan Tucker
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks. IDA (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Allan Tucker