Reps, J.M., Garibaldi, J.M., Aickelin, U., Soria, D., Gibson, J.E. and Hubbard, R.B. 2014. Guest Editorial: Data Mining in Bioinformatics. IEEE Journal of Biomedical and Health Informatics. 18 (2), p. 483. https://doi.org/10.1109/JBHI.2014.2306988
Lai, D.T.C., Garibaldi, J.M., Soria, D. and Roadknight, C.M. 2014. A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-Means. Central European Journal of Operations Research. 22 (3), pp. 475-499. https://doi.org/10.1007/s10100-013-0318-3
Reps, J.M., Aickelin, U., Garibaldi, J.M., Soria, D., Gibson, J.E. and Hubbard, R.B. 2014. Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs. Drug Safety. 37 (3), pp. 163-170. https://doi.org/10.1007/s40264-014-0137-z
Reps, J.M., Garibaldi, J.M., Aickelin, U., Soria, D., Gibson, J.E. and Hubbard, R.B. 2014. A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery. IEEE Journal of Biomedical and Health Informatics. 18 (2), pp. 537-547. https://doi.org/10.1109/JBHI.2013.2281505
Rakha, E., Soria, D., Green, A.R., Lemetre, C., Powe, D.G., Nolan, C.C., Garibaldi, J.M., Ball, G.R. and Ellis, I.O. 2014. Nottingham Prognostic Index Plus (NPI+): A Modern Clinical Decision Making Tool in Breast Cancer. British Journal of Cancer. 110 (7), pp. 1688-1697. https://doi.org/10.1038/bjc.2014.120
Green, A.R., Soria, D., Stephen, J., Powe, D.G., Nolan, C.C., Kunkler, I., Thomas, J., Kerr, G.R., Jack, W., Cameron, D., Piper, T., Ball, G.R., Garibaldi, J.M., Rakha, E.A., Bartlett, J.M.S. and Ellis, I.O. 2016. Nottingham Prognostic Index Plus: Validation of a clinical decision making tool in breast cancer in an independent series. The Journal of Pathology: Clinical Research. 1 (2), pp. 32-40. https://doi.org/10.1002/cjp2.32
Agrawal, U., Soria, D. and Wagner, C. 2016. Cancer subtype identification pipeline: A classifusion approach. Evolutionary Computation (CEC), 2016 IEEE Congress on. 24 - 29 Jul 2016 IEEE . https://doi.org/10.1109/CEC.2016.7744150
Richens, J.L., Vere, K.-A., Light, R.A., Soria, D., Garibaldi, J.M., Smith, A.D., Warden, D., Wilcock, G., Bajaj, N., Morgan, K. and O’Shea, P. 2014. Practical detection of a definitive biomarker panel for Alzheimer’s Disease; comparisons between plasma and cerebrospinal fluid. International Journal of Molecular Epidemiology and Genetics. 5 (2), pp. 53-70.
Aleskandarany, M.A., Soria, D., Green, A.R., Nolan, C., Diez-Rodriguez, M., Ellis, I.O. and Rakha, E.A. 2015. Markers of Progression in Early-Stage Invasive Breast Cancer: a Predictive Immunohistochemical Panel Algorithm for Distant Recurrence Risk Stratification. Breast Cancer Research and Treatment. 151 (2), pp. 325-333. https://doi.org/10.1007/s10549-015-3406-3
Green, A.R., Soria, D., Powe, G., Nolan, C.C., Aleskandarany, N.M., Szász, M.A., Tőkés, A.M., Ball, G.R., Garibaldi, J.M., Rakha, E.A., Kulka, J. and Ellis, I.O. 2016. Nottingham prognostic index plus (NPI+) predicts risk of distant metastases in primary breast cancer. Breast Cancer Research and Treatment. 157 (1), pp. 65-75. https://doi.org/10.1007/s10549-016-3804-1
Green, W.J.F., Ball, G., Hulman, G., Johnson, C., Van Schalwyk, G., Ratan, H.L., Soria, D., Garibaldi, J.M., Parkinson, R., Hulman, J., Rees, R. and Powe, D.G. 2016. KI67 and DLX2 predict increased risk of metastasis formation in prostate cancer–a targeted molecular approach. British Journal of Cancer. 115 (2), pp. 236-242. https://doi.org/10.1038/bjc.2016.169
Soria, D. and Garibaldi, J.M. 2016. Validation of a quantifier-based fuzzy classification system for breast cancer patients on external independent cohorts. IEEE International Conference on Machine Learning and Applications (ICMLA2016). Anaheim, California, USA 18 - 20 Dec 2016 IEEE . https://doi.org/10.1109/ICMLA.2016.0101
Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A. and Soria, D. 2017. Interpretability indices for hierarchical fuzzy systems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017). Naples, Italy 09 - 12 Jul 2017 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015616
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81
Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A. and Soria, D. 2018. Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. 2018 IEEE Symposium Series on Computational Intelligence. Bengaluru, India 18 - 21 Nov 2018 IEEE . https://doi.org/10.1109/SSCI.2018.8628924
Agrawal, U., Soria, D., Wagner, C., Garibaldi, J.M., Ellis, I.O., Bartlett, J.M.S., Cameron, D., Rakha, E.A. and Green, A.R. 2019. Combining Clustering and Classification Ensembles: A Novel Pipeline to Identify Breast Cancer Profiles. Artificial Intelligence in Medicine. 97, pp. 27-37. https://doi.org/10.1016/j.artmed.2019.05.002
Agrawal, U., Wagner, C., Garibaldi, J.M. and Soria, D. 2019. Fuzzy Integral Driven Ensemble Classification using A Priori Fuzzy Measures. International Conference on Fuzzy Systems (FUZZ-IEEE 2019). 23 - 26 Jun 2019 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2019.8858821
Agrawal, U., Pinar, A.J., Wagner, C., Havens, T.C., Soria, D. and Garibaldi, J.M. 2018. Comparison of Fuzzy Integral-Fuzzy Measure based Ensemble Algorithms with the State-of-the-art Ensemble Algorithms. Medina, J., Ojeda-Aciego, M., Verdegay, J.L., Perfilieva, I., Bouchon-Meunier, B. and Yager, R.R. (ed.) 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Cadiz, Spain 11 - 15 Jun 2018 Springer. https://doi.org/10.1007/978-3-319-91479-4
Figueredo, G.P., Agrawal, U., Mase, J.M.M., Mesgarpour, M., Wagner, C., Soria, D., Garibaldi, J.M., Siebers, P.O. and John, R.I. 2019. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems. 20 (9), pp. 3324-3336. https://doi.org/10.1109/TITS.2018.2875343
El Ansari, R., Craze, M.L., Alfarsi, L., Soria, D., Diez-Rodriguez, M., Nolan, C.C., Ellis, I.O., Rakha, E.A. and Green, A.R. 2019. The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer. Breast Cancer Research and Treatment. 175 (1), pp. 27-38. https://doi.org/10.1007/s10549-018-05111-w