Myles, P., Ordish, J. and Tucker, A. (2023) 'The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts'. Progress in Biomedical Engineering, 5 (1). pp. 013001 - 013001.

Rotalinti, Y., Tucker, A., Lonergan, M., Myles, P. and Branson, R. (2023) 'Detecting Drift in Healthcare AI Models Based on Data Availability'. Springer Nature Switzerland. pp. 243 - 258. ISSN: 1865-0929

Tucker, A., Kannampallil, T., Fodeh, SJ. and Peleg, M. (2022) 'New JBI policy emphasizes clinically-meaningful novel machine learning methods'. Journal of Biomedical Informatics, 127. pp. 104003 - 104003. ISSN: 1532-0464

Walker, BE., Tucker, A. and Nicolson, N. (2022) 'Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning'. Frontiers in Plant Science, 12. pp. 1 - 12. ISSN: 1664-462X Open Access Link

Overton, T., Tucker, A., James, T. and Hristozov, D. (2022) 'dunXai: DO-U-Net for Explainable (Multi-label) Image Classification: Applications to Biomedical Images'. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 212 - 224. ISSN: 0302-9743

Ghoshal, B., Ghoshal, B. and Tucker, A. (2022) 'Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading'. Springer International Publishing. pp. 565 - 577. ISSN: 0302-9743

Al-Nasseri, A., Menla Ali, F. and Tucker, A. (2021) 'Investor sentiment and the dispersion of stock returns: Evidence based on the social network of investors'. International Review of Financial Analysis, 78. pp. 101910 - 101910. ISSN: 1057-5219

Draghi, B., Wang, Z., Myles, P. and Tucker, A. (2021) 'Bayesboost: Identifying and Handling Bias Using Synthetic Data Generators'.Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications,. online. 1 Elsevier BV.

Ghoshal, B., Hikmet, F., Pineau, C., Tucker, A. and Lindskog, C. (2021) 'DeepHistoClass: A novel strategy for confident classification of immunohistochemistry images using Deep Learning'. Molecular & Cellular Proteomics, 0 (In Press). pp. 1 - 71. ISSN: 1535-9476 Open Access Link

Wang, Z., Myles, P., Jain, A., Keidel, JL., Liddi, R., Mackillop, L., Velardo, C. and Tucker, A. et al. (2021) 'Evaluating a longitudinal synthetic data generator using real world data'.2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Aveiro, Portugal (online). 7 - 9 June. IEEE. pp. 259 - 264. ISSN: 2372-918X Open Access Link

Sajjadi, SE. and Tucker, A. (2021) 'Exploiting clinical staging data to constrain pseudo-time modelling of disease progression'.2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 241 - 246. ISSN: 1063-7125

Ghoshal, B. and Tucker, A. (2021) 'On cost-sensitive calibrated uncertainty in deep learning: An application on COVID-19 detection'.2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 503 - 509. ISSN: 1063-7125

Evans, BC., Tucker, A., Wearn, OR. and Carbone, C. (2021) 'Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications'.Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Ghent, Belgium. 2 - 18 September. Springer International Publishing. pp. 26 - 37. ISSN: 1865-0929 Open Access Link

de Benedetti, J., Oues, N., Wang, Z., Myles, P. and Tucker, A. (2021) 'Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks'.Joint European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD: ECML PKDD 2020 Workshops. Ghent, Belgium [virtual]. 2 - 18 September. Springer International Publishing. pp. 38 - 47. ISSN: 1865-0929 Open Access Link

Wang, Z., Myles, P. and Tucker, A. (2021) 'Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy'. Computational Intelligence, in press (2). pp. 1 - 33. ISSN: 0824-7935 Open Access Link

Harwood, N., Hall, R., Capua, GDI., Russell, A. and Tucker, A. (2021) 'Using Bayesian networks to investigate the influence of subseasonal arctic variability on midlatitude North Atlantic circulation'. Journal of Climate, 34 (6). pp. 2319 - 2335. ISSN: 0894-8755

Ghoshal, B. and Tucker, A. (2021) 'Hyperspherical Weight Uncertainty in Neural Networks'. Springer International Publishing. pp. 3 - 11. ISSN: 0302-9743

Tucker, A., Abreu, PH., Cardoso, J., Rodrigues, PP. and Riaño, D. (2021) 'Preface'. ISSN 13: 9783030772109

Ghoshal, B., Ghoshal, B., Swift, S. and Tucker, A. (2021) 'Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development'. Springer International Publishing. pp. 361 - 366. ISSN: 0302-9743

Ghoshal, B., Swift, S. and Tucker, A. (2021) 'Bayesian Deep Active Learning for Medical Image Analysis'. Springer International Publishing. pp. 36 - 42. ISSN: 0302-9743

Tucker, A., Wang, Z., Rotalinti, Y. and Myles, P. (2020) 'Generating High-Fidelity Synthetic Patient Data for Assessing Machine Learning Healthcare Software'. npj digital medicine, 3 (1). pp. 1 - 13. ISSN: 2398-6352 Open Access Link

Ghoshal, B., Tucker, A., Sanghera, B. and Wong, WL. (2020) 'Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians in Medical Image Segmentation and Diseases Detection'. Computational Intelligence, 37 (2). pp. 1 - 34. ISSN: 0824-7935 Open Access Link

Dagliati, A., Geifman, N., Peek, N., Holmes, JH., Sacchi, L., Bellazzi, R., Sajjadi, SE. and Tucker, A. et al. (2020) 'Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records'. Artificial Intelligence in Medicine, 108 (August 2020). pp. 1 - 14. ISSN: 0933-3657 Open Access Link

Harwood, N., Tucker, A., Hall, R., Di Capua, G. and Russell, A. (2020) 'Using Bayesian Networks to investigate the influence of Arctic Amplification on midlatitude North Atlantic circulation'. Submitted to Journal of Climate - Pending.Open Access Link

Yousefi, L., Swift, S., Arzoky, M., Saachi, L., Chiovato, L. and Tucker, A. (2020) 'Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules'. Computational Intelligence, 37 (4). pp. 1460 - 1498. ISSN: 0824-7935 Open Access Link

Colace, F., De Santo, M., Lombardi, M., Pascale, F., Santaniello, D. and Tucker, A. (2020) 'A Multilevel Graph Approach for Predicting Bicycle Usage in London Area'. Springer Singapore. pp. 353 - 362. ISSN: 2194-5357

Overton, T. and Tucker, A. (2020) 'DO-U-Net for Segmentation and Counting', inLecture Notes in Computer Science. Springer International Publishing. pp. 391 - 403. ISBN 13: 9783030445836.

Ghoshal, B., Lindskog, C. and Tucker, A. (2020) 'Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics'. Springer International Publishing. pp. 223 - 234. ISSN: 0302-9743

Overton, T. and Tucker, A. (2020) 'DO-U-Net for Segmentation and Counting: Applications to Satellite and Medical Images'. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 391 - 403. ISSN: 0302-9743

Sajjadi, SE., Draghi, B., Sacchi, L., Dagliani, A., Holmes, J. and Tucker, A. (2020) 'Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease'. Springer International Publishing. pp. 48 - 61. ISSN: 1865-0929

Shepperd, M., Guo, Y., Li, N., Arzoky, M., Capiluppi, A., Counsell, S., Destefanis, G., Swift, S., Tucker, A. and Yousefi, L. et al. (2019) 'The Prevalence of Errors in Machine Learning Experiments'.20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Univ Manchester, Manchester, ENGLAND. 10 - 16 November. Springer International Publishing. pp. 102 - 109. ISSN: 0302-9743 Open Access Link

Yousefi, L., Swift, S., Arzoky, M., Sacchi, L., Chiovato, L. and Tucker, A. (2019) 'Opening the black box: Exploring temporal pattern of type 2 diabetes complications in patient clustering using association rules and hidden variable discovery'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). Cordoba, Spain. 5 - 7 June. IEEE. pp. 198 - 203. ISSN: 2372-9198

Dodo, BI., Li, Y., Tucker, A., Kaba, D. and Liu, X. (2019) 'Retinal OCT segmentation using fuzzy region competition and level set methods'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). Inst Maimonides Investigac Biomedica Cordoba, Cordoba, SPAIN. 1 - 7 June. IEEE. pp. 93 - 98. ISSN: 1063-7125

Alyousef, AA., Nihtyanova, S., Denton, CP., Bosoni, P., Bellazzi, R. and Tucker, A. (2019) 'Latent class multi-label classification to identify subclasses of disease for improved prediction'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 535 - 538. ISSN: 1063-7125

Wang, Z., Myles, P. and Tucker, A. (2019) 'Generating and evaluating synthetic UK primary care data: Preserving data utility & patient privacy'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 126 - 131. ISSN: 1063-7125

Ghoshal, B., Tucker, A., Sanghera, B. and Wong, WL. (2019) 'Estimating uncertainty in deep learning for reporting confidence to clinicians when segmenting nuclei image data'.2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE. pp. 318 - 324. ISSN: 1063-7125

Jilani, MZMB., Tucker, A. and Swift, S. (2019) 'An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma'. Journal of Heuristics, 25 (6). pp. 933 - 957. ISSN: 1381-1231 Open Access Link

Maldonado, AD., Uusitalo, L., Tucker, A., Blenckner, T., Aguilera, PA. and Salmerón, A. (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'. Environmental Modelling and Software, 118. pp. 281 - 297. ISSN: 1364-8152

Scutari, M., Vitolo, C. and Tucker, A. (2019) 'Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation'. Statistics and Computing, 29 (5). pp. 1095 - 1108. ISSN: 0960-3174 Open Access Link

Yousefi, L., Swift, S., Arzoky, M., Saachi, L., Chiovato, L. and Tucker, A. (2019) 'Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling'.2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Madrid, Spain. 24 - 6 December. IEEE. pp. 1040 - 1044. ISSN: 2156-1125 Open Access Link

Colace, F., Lombardi, M., Pascale, F., Santaniello, D., Tucker, A. and Villani, P. (2019) 'MuG: A Multilevel Graph Representation for Big Data Interpretation'.2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems. Exeter, United Kingdom. 22 - 30 June. IEEE. pp. 1408 - 1413.Open Access Link

Al-Luhaybi, M., Yousefi, L., Swift, S., Counsell, S. and Tucker, A. (2019) 'Predicting academic performance: A bootstrapping approach for learning dynamic bayesian networks'.20th International Conference on Artificial Intelligence in Education (AIED). Chicago, IL. 1 - 29 June. Springer International Publishing. pp. 26 - 36. ISSN: 0302-9743

Dagliati, A., Geifman, N., Peek, N., Holmes, JH., Sacchi, L., Sajjadi, SE. and Tucker, A. et al. (2019) 'Inferring temporal phenotypes with topological data analysis and pseudo time-series'. Springer International Publishing. pp. 399 - 409. ISSN: 0302-9743

Nicolson, N., Paton, A., Phillips, S. and Tucker, A. (2018) 'Specimens as research objects: Reconciliation across distributed repositories to enable metadata propagation'.2018 IEEE 14th International Conference on e-Science. Amsterdam, Netherlands. 24 - 1 November. IEEE. pp. 125 - 135. ISSN: 2325-372X

Scutari, M., Vitolo, C. and Tucker, A. (2018) 'Learning Bayesian Networks from Big Data with Greedy Search'. Statistics and Computing. pp. 1 - 15. ISSN: 0960-3174 Open Access Link

Ayed, S., Arzoky, M., Swift, S., Counsell, S. and Tucker, A. (2018) 'An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem'.SAI Intelligent Systems Conference. London. 9 - 7 September. Springer International Publishing. pp. 1041 - 1055. ISSN: 2194-5357 Open Access Link

Russell, A., Ghalaieny, M., Gazdiyeva, B., Zhumabayeva, S., Kurmanbayeva, A., Akhmetov, KK., Mukanov, Y., McCann, M., Ali, M., Tucker, A., Vitolo, C. and Althonayan, A. et al. (2018) 'A Spatial Survey of Environmental Indicators for Kazakhstan: An Examination of Current Conditions and Future Needs'. International Journal of Environmental Research, 12 (5). pp. 735 - 748. ISSN: 1735-6865 Open Access Link

Broadbent, DP., Gredin, NV., Rye, J., Williams, AM. and Bishop, DT. (2018) 'The impact of contextual priors and anxiety on performance effectiveness and processing efficiency in anticipation'. HUMAN KINETICS PUBL INC. pp. S79 - S79. ISSN: 0895-2779

Alyousef, AA., Nihtyanova, S., Denton, C., Bosoni, P., Bellazzi, R. and Tucker, A. (2018) 'Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease'. Journal of Healthcare Informatics Research, 2 (4). pp. 402 - 422. ISSN: 2509-4971 Open Access Link

Yousefi, L., Tucker, A., Al-Luhaybi, M., Saachi, L., Bellazzi, R. and Chiovato, L. (2018) 'Predicting Disease Complications Using a Stepwise Hidden Variable Approach for Learning Dynamic Bayesian Networks'.2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). Karlstad, Sweden. 23 - 21 June. IEEE. pp. 106 - 111. ISSN: 1063-7125