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2020 – today
- 2024
[c81]Ylenia Rotalinti, Puja Myles, Allan Tucker:
Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. IDA (1) 2024: 167-178- [c80]Barbara Puccio, Allan Tucker, Pierangelo Veltri:
Clustering Pseudo Time Series: Exploring Trajectories in the Ageing Process. pHealth 2024: 118-119 - 2023
- [c79]Asal Khoshravan Azar, Barbara Draghi
, Ylenia Rotalinti, Puja Myles, Allan Tucker:
The Impact of Bias on Drift Detection in AI Health Software. AIME 2023: 313-322 - [c78]Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker:
Privacy Assessment of Synthetic Patient Data. CBMS 2023: 1-6 - [c77]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: 7-12 - [c76]Afees Adegoke Odebode, Mahir Arzoky, Allan Tucker, Ashley Mann, Faisal Maramazi, Stephen Swift:
Using Clustering Ensembles and Heuristic Search to Estimate the Number of Clusters in Datasets. IntelliSys (3) 2023: 334-353 - [e5]Jose M. Juarez, Mar Marcos, Gregor Stiglic, Allan Tucker:
Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings. Lecture Notes in Computer Science 13897, Springer 2023, ISBN 978-3-031-34343-8 [contents] - 2022
- [j40]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): 501-524 (2022) - [j39]Allan Tucker, Thomas George Kannampallil, Samah Jamal Fodeh, Mor Peleg:
New JBI policy emphasizes clinically-meaningful novel machine learning methods. J. Biomed. Informatics 127: 104003 (2022) - [c75]Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift:
Estimating the Optimal Number of Clusters from Subsets of Ensembles. DATA 2022: 383-391 - [c74]Marinela Branescu, Stephen Swift, Allan Tucker:
A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis. ICIMTH 2022: 545-550 - [c73]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: 1799-1806 - [c72]Toyah Overton, Allan Tucker, Tim James, Dimitar Hristozov:
dunXai: DO-U-Net for Explainable (Multi-label) Image Classification - Applications to Biomedical Images. IDA 2022: 212-224 - [c71]Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker:
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. MIUA 2022: 565-577 - [c70]Fawzia Zehra Kara-Isitt, Stephen Swift, Allan Tucker:
Intelligently Detecting Information Online-Weaponisation Trends (IDIOT). PKDD/ECML Workshops (1) 2022: 197-214 - [c69]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: 243-258 - [i7]Biraja Ghoshal, Allan Tucker:
On Calibrated Model Uncertainty in Deep Learning. CoRR abs/2206.07795 (2022) - [i6]Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker:
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. CoRR abs/2206.08787 (2022) - 2021
- [j38]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): 701-734 (2021) - [j37]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): 819-851 (2021) - [j36]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): 1460-1498 (2021) - [c68]Biraja Ghoshal, Stephen Swift, Allan Tucker:
Bayesian Deep Active Learning for Medical Image Analysis. AIME 2021: 36-42 - [c67]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME 2021: 361-366 - [c66]Seyed Erfan Sajjadi, Allan Tucker:
Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression. CBMS 2021: 241-246 - [c65]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: 259-264 - [c64]Biraja Ghoshal, Allan Tucker:
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. CBMS 2021: 503-509 - [c63]Biraja Ghoshal, Allan Tucker:
Hyperspherical Weight Uncertainty in Neural Networks. IDA 2021: 3-11 - [c62]Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker:
BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. LIDTA@ECML/PKDD 2021: 49-62 - [e4]Allan Tucker, Pedro Henriques Abreu, Jaime S. Cardoso, Pedro Pereira Rodrigues, David Riaño:
Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. Lecture Notes in Computer Science 12721, Springer 2021, ISBN 978-3-030-77210-9 [contents] - [i5]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR abs/2103.11214 (2021) - 2020
- [j35]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: 101930 (2020) - [j34]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) - [j33]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) - [c61]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: 110-119 - [c60]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: 223-234 - [c59]Toyah Overton, Allan Tucker:
DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images. IDA 2020: 391-403 - [c58]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: 26-37 - [c57]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: 38-47 - [c56]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: 48-61 - [i4]Biraja Ghoshal, Allan Tucker:
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. CoRR abs/2003.10769 (2020)
2010 – 2019
- 2019
- [j32]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: 281-297 (2019) - [j31]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): 933-957 (2019) - [j30]Marco Scutari, Claudia Vitolo, Allan Tucker:
Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation. Stat. Comput. 29(5): 1095-1108 (2019) - [c55]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: 26-36 - [c54]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: 399-409 - [c53]Bashir I. Dodo, Yongmin Li, Allan Tucker, Djibril Kaba, Xiaohui Liu:
Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. CBMS 2019: 93-98 - [c52]Zhenchen Wang, Puja Myles, Allan Tucker:
Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy. CBMS 2019: 126-131 - [c51]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: 198-203 - [c50]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: 318-324 - [c49]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: 535-538 - [c48]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: 353-362 - [c47]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: 102-109 - [i3]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 abs/1909.04436 (2019) - 2018
- [j29]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: 9-15 (2018) - [j28]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): 402-422 (2018) - [c46]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: 1040-1044 - [c45]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: 106-111 - [c44]Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker:
Specimens as Research Objects: Reconciliation Across Distributed Repositories to Enable Metadata Propagation. eScience 2018: 125-135 - [c43]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: 1408-1413 - [c42]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: 556-566 - [c41]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: 1041-1055 - [i2]Nicky Nicolson, Alan Paton, Sarah Phillips, Allan Tucker:
Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation. CoRR abs/1809.07725 (2018) - 2017
- [j27]Allan Tucker, Yuanxi Li, David Garway-Heath:
Updating Markov models to integrate cross-sectional and longitudinal studies. Artif. Intell. Medicine 77: 23-30 (2017) - [j26]Allan Tucker, Yuanxi Li, David Garway-Heath:
Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies". Artif. Intell. Medicine 81: 33-40 (2017) - [c40]Steve Counsell, Stephen Swift, Allan Tucker:
A Deconstructed Replication of a Time of Test Study Using the AGIS Metric. CBMS 2017: 103-104 - [c39]Leila Yousefi, Lucia Sacchi, Riccardo Bellazzi, Luca Chiovato, Allan Tucker:
Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables. CBMS 2017: 205-206 - [c38]Nicky Nicolson, Allan Tucker:
Identifying Novel Features from Specimen Data for the Prediction of Valuable Collection Trips. IDA 2017: 235-246 - [e3]Niall M. Adams, Allan Tucker, David John Weston:
Advances in Intelligent Data Analysis XVI - 16th International Symposium, IDA 2017, London, UK, October 26-28, 2017, Proceedings. Lecture Notes in Computer Science 10584, Springer 2017, ISBN 978-3-319-68764-3 [contents] - [i1]Danila Vella, Allan Tucker, Riccardo Bellazzi:
Stability analysis of MTopGO for module identification in PPI networks. PeerJ Prepr. 5: e3289 (2017) - 2016
- [j25]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: 132-142 (2016) - [j24]Claudia Vitolo, Andrew Russell, Allan Tucker:
rdefra: Interact with the UK AIR Pollution Database from DEFRA. J. Open Source Softw. 1(4): 51 (2016) - [c37]Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift:
Simultaneous Modelling and Clustering of Visual Field Data. CBMS 2016: 213-218 - [c36]Pietro Bosoni, Allan Tucker, Riccardo Bellazzi, Svetlana I. Nihtyanova, Christopher P. Denton:
Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses. CBMS 2016: 225-226 - [c35]Steve Counsell, Stephen Swift, Allan Tucker:
The AGIS Metric and Time of Test: A Replication Study. CBMS 2016: 269-270 - [c34]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: 55-66 - 2015
- [j23]Neda Trifonova, Andrew Kenny, David L. 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: 142-158 (2015) - [j22]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): 9192-9210 (2015) - [j21]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): 249-254 (2015) - [c33]Allan Tucker, Yuanxi Li:
Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies. AIME 2015: 113-122 - [p3]Agnieszka Onisko, Allan Tucker, Marek J. Druzdzel:
Prediction and Prognosis of Health and Disease. Foundations of Biomedical Knowledge Representation 2015: 181-188 - [p2]Allan Tucker, Yuanxi Li, Stefano Ceccon, Stephen Swift:
Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies. Foundations of Biomedical Knowledge Representation 2015: 189-205 - 2014
- [j20]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): 103-112 (2014) - [j19]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): 1008-1014 (2014) - [c32]Yuanxi Li, Allan Tucker:
Integrating Clinical Data from Cross-Sectional and Longitudinal Studies. CBMS 2014: 465-466 - [c31]Alya Al Nasseri, Allan Tucker, Sergio de Cesare:
Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market. Discovery Science 2014: 13-24 - [c30]Neda Trifonova, Daniel Duplisea, Andrew Kenny, David L. 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: 301-312 - [c29]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: 61-71 - [c28]Neda Trifonova, Daniel Duplisea, Andrew Kenny, Allan Tucker:
A Spatio-temporal Bayesian Network Approach for Revealing Functional Ecological Networks in Fisheries. IDA 2014: 298-308 - [c27]Allan Tucker, Don Kirkup:
Extracting Predictive Models from Marked-Up Free-Text Documents at the Royal Botanic Gardens, Kew, London. IDA 2014: 309-320 - 2013
- [j18]Yuanxi Li, Stephen Swift, Allan Tucker:
Modelling and analysing the dynamics of disease progression from cross-sectional studies. J. Biomed. Informatics 46(2): 266-274 (2013) - [c26]Valeria Bo, Artem Lysenko, Mansoor A. S. Saqi, Dimah Z. Habash, Allan Tucker:
Integrating Multiple Studies of Wheat Microarray Data to Identify Treatment-Specific Regulatory Networks. IDA 2013: 104-115 - [c25]Stelios Pavlidis, Stephen Swift, Allan Tucker, Steve Counsell:
The Modelling of Glaucoma Progression through the Use of Cellular Automata. IDA 2013: 322-332 - [e2]Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift:
Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings. Lecture Notes in Computer Science 8207, Springer 2013, ISBN 978-3-642-41397-1 [contents] - 2012
- [j17]Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain:
A Seeded Search for the Modularisation of Sequential Software Versions. J. Object Technol. 11(2): 6: 1-27 (2012) - [e1]Jaakko Hollmén, Frank Klawonn, Allan Tucker:
Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings. Lecture Notes in Computer Science 7619, Springer 2012, ISBN 978-3-642-34155-7 [contents] - 2011
- [j16]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) - [c24]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: 422-429 - [c23]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: 101-112 - [c22]Fadratul Hafinaz Hassan, Allan Tucker:
Automatic Layout Design Solution. IDA 2011: 198-209 - [c21]Allan Tucker, Daniel Duplisea:
Integrating Marine Species Biomass Data by Modelling Functional Knowledge. IDA 2011: 352-363 - [p1]Stefano Ceccon, David Garway-Heath, David P. Crabb, Allan Tucker:
Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise. Ensembles in Machine Learning Applications 2011: 133-150 - 2010
- [j15]Seyed Yahya Anvar, Peter A. C. 't Hoen, Allan Tucker:
The identification of informative genes from multiple datasets with increasing complexity. BMC Bioinform. 11: 32 (2010) - [j14]Weiguo Sheng, Allan Tucker, Xiaohui Liu:
A niching genetic k-means algorithm and its applications to gene expression data. Soft Comput. 14(1): 9-19 (2010) - [j13]Allan Tucker, David Garway-Heath:
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data. IEEE Trans. Inf. Technol. Biomed. 14(1): 79-85 (2010) - [c20]Fadratul Hafinaz Hassan, Allan Tucker:
Using Cellular Automata Pedestrian Flow Statistics with Heuristic Search to Automatically Design Spatial Layout. ICTAI (2) 2010: 32-37 - [c19]Fadratul Hafinaz Hassan, Allan Tucker:
Using Uniform Crossover to Refine Simulated Annealing Solutions for Automatic Design of Spatial Layouts. IJCCI (ICEC) 2010: 373-379 - [c18]Allan Tucker, Stephen Swift, Steve Counsell, Simon Kent, John Dickie, Kenwin Liu, Robert Turner:
Data Mining the Millennium Seedbank at Kew. ICDM (Workshops) 2010: 85-94
2000 – 2009
- 2009
- [j12]Emma Steele, Allan Tucker, Peter A. C. 't Hoen, Martijn J. Schuemie:
Literature-based priors for gene regulatory networks. Bioinform. 25(14): 1768-1774 (2009) - [c17]Emma Steele, Allan Tucker:
Selecting and Weighting Data for Building Consensus Gene Regulatory Networks. IDA 2009: 190-201 - [c16]James Cain, Steve Counsell, Stephen Swift, Allan Tucker:
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. IDA 2009: 261-272 - 2008
- [j11]Emma Steele, Allan Tucker:
Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets. J. Biomed. Informatics 41(6): 914-926 (2008) - 2007
- [c15]Allan Tucker, Stephen Swift, Jason Crampton:
Efficiency updates for the restricted growth function GA for grouping problems. GECCO 2007: 1536 - [c14]Stephen Swift, Allan Tucker, Jason Crampton, David Garway-Heath:
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data. GECCO 2007: 2174-2181 - [c13]Emma Peeling, Allan Tucker:
Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data. IDA 2007: 184-194 - 2006
- [j10]Allan Tucker, Peter A. C. 't Hoen, Veronica Vinciotti, Xiaohui Liu:
Temporal Bayesian classifiers for modelling muscular dystrophy expression data. Intell. Data Anal. 10(5): 441-455 (2006) - [j9]Steve Counsell, Stephen Swift, Allan Tucker, Emilia Mendes:
Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study. ACM SIGSOFT Softw. Eng. Notes 31(5): 1-10 (2006) - [c12]Michael Hirsch, Allan Tucker, Stephen Swift, Nigel J. Martin, Christine A. Orengo, Paul Kellam, Xiaohui Liu:
Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering. CompLife 2006: 1-10 - 2005
- [j8]Allan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath:
A spatio-temporal Bayesian network classifier for understanding visual field deterioration. Artif. Intell. Medicine 34(2): 163-177 (2005) - [j7]Allan Tucker, Jason Crampton, Stephen Swift:
RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms. Evol. Comput. 13(4): 477-499 (2005) - [c11]Stephen Swift, Amy Shi, Jason Crampton, Allan Tucker:
ICARUS: intelligent coupon allocation for retailers using search. Congress on Evolutionary Computation 2005: 182-189 - [c10]Allan Tucker, Veronica Vinciotti, Peter A. C. 't Hoen, Xiaohui Liu:
Bayesian Network Classifiers for Time-Series Microarray Data. IDA 2005: 475-485 - [c9]Steve Counsell, Stephen Swift, Allan Tucker:
Object-oriented cohesion as a surrogate of software comprehension: an empirical study. SCAM 2005: 161-172 - 2004
- [j6]Allan Tucker, Xiaohui Liu:
A Bayesian network approach to explaining time series with changing structure. Intell. Data Anal. 8(5): 469-480 (2004) - [c8]Weiguo Sheng, Allan Tucker, Xiaohui Liu:
Clustering with Niching Genetic K-means Algorithm. GECCO (2) 2004: 162-173 - [c7]Paul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu:
Consensus Clustering and Functional Interpretation of Gene Expression Data. Spanish Bioinformatics Conference 2004: 6 - 2003
- [c6]Allan Tucker, Xiaohui Liu, David Garway-Heath:
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data. GECCO 2003: 2360-2371 - [c5]Allan Tucker, Xiaohui Liu:
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies. IDA 2003: 100-110 - [c4]Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker:
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software. IDA 2003: 440-450 - 2002
- [j5]Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker:
A framework for modelling virus gene expression data. Intell. Data Anal. 6(3): 267-279 (2002) - [j4]Steve Counsell, Xiaohui Liu, Janet McFall, Stephen Swift, Allan Tucker:
Evolutionary algorithms for grouping high dimensional Email data. Intell. Data Anal. 6(6): 503-516 (2002) - 2001
- [j3]Allan Tucker, Xiaohui Liu, Andrew Ogden-Swift:
Evolutionary learning of dynamic probabilistic models with large time lags. Int. J. Intell. Syst. 16(5): 621-645 (2001) - [j2]Stephen Swift, Allan Tucker, Nigel J. Martin, Xiaohui Liu:
Grouping multivariate time series variables: applications to chemical process and visual field data. Knowl. Based Syst. 14(3-4): 147-154 (2001) - [j1]Allan Tucker, Stephen Swift, Xiaohui Liu:
Variable grouping in multivariate time series via correlation. IEEE Trans. Syst. Man Cybern. Part B 31(2): 235-245 (2001) - [c3]Steve Counsell, Xiaohui Liu, Stephen Swift, Allan Tucker, Janet McFall:
Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis. ICEIS (1) 2001: 489-496 - [c2]Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker:
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. IDA 2001: 218-227
1990 – 1999
- 1999
- [c1]Stephen Swift, Allan Tucker, Xiaohui Liu:
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series. IDA 1999: 51-62
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-17 21:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
