Support vector machines for credit scoring and discovery of significant features T Bellotti, J Crook Expert systems with applications 36 (2), 3302-3308, 2009 | 460 | 2009 |
Credit scoring with macroeconomic variables using survival analysis T Bellotti, J Crook Journal of the Operational Research Society 60 (12), 1699-1707, 2009 | 365 | 2009 |
Loss given default models incorporating macroeconomic variables for credit cards T Bellotti, J Crook International Journal of Forecasting 28 (1), 171-182, 2012 | 229 | 2012 |
Complex genomic alterations and gene expression in acute lymphoblastic leukemia with intrachromosomal amplification of chromosome 21 JC Strefford, FW Van Delft, HM Robinson, H Worley, O Yiannikouris, ... Proceedings of the National Academy of Sciences 103 (21), 8167-8172, 2006 | 168 | 2006 |
Forecasting and stress testing credit card default using dynamic models T Bellotti, J Crook International Journal of Forecasting 29 (4), 563-574, 2013 | 154 | 2013 |
Bankruptcy prediction for SMEs using relational data E Tobback, T Bellotti, J Moeyersoms, M Stankova, D Martens Decision Support Systems 102, 69-81, 2017 | 126 | 2017 |
Forecasting recovery rates on non-performing loans with machine learning A Bellotti, D Brigo, P Gambetti, F Vrins International Journal of Forecasting 37 (1), 428-444, 2021 | 100 | 2021 |
Time varying and dynamic models for default risk in consumer loans J Crook, T Bellotti Journal of the Royal Statistical Society Series A: Statistics in Society 173 …, 2010 | 92 | 2010 |
The effect of secular trends and specialist neurocritical care on mortality for patients with intracerebral haemorrhage, myasthenia gravis and Guillain–Barré syndrome admitted … MS Damian, Y Ben-Shlomo, R Howard, T Bellotti, D Harrison, K Griggs, ... Intensive care medicine 39, 1405-1412, 2013 | 80 | 2013 |
A note comparing support vector machines and ordered choice models’ predictions of international banks’ ratings T Bellotti, R Matousek, C Stewart Decision Support Systems 51 (3), 682-687, 2011 | 78 | 2011 |
Are rating agencies’ assignments opaque? Evidence from international banks T Bellotti, R Matousek, C Stewart Expert Systems with Applications 38 (4), 4206-4214, 2011 | 78 | 2011 |
Retail credit stress testing using a discrete hazard model with macroeconomic factors T Bellotti, J Crook Journal of the Operational Research Society 65 (3), 340-350, 2014 | 59 | 2014 |
Prospective gene expression analysis accurately subtypes acute leukaemia in children and establishes a commonality between hyperdiploidy and t (12; 21) in acute lymphoblastic … FW Van Delft, T Bellotti, Z Luo, LK Jones, N Patel, O Yiannikouris, AS Hill, ... British journal of haematology 130 (1), 26-35, 2005 | 53 | 2005 |
Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines T Bellotti, Z Luo, A Gammerman, FW Van Delft, V Saha International Journal of Neural Systems 15 (04), 247-258, 2005 | 49 | 2005 |
Macro-economic factors in credit risk calculations: including time-varying covariates in mixture cure models L Dirick, T Bellotti, G Claeskens, B Baesens Journal of Business & Economic Statistics 37 (1), 40-53, 2019 | 46 | 2019 |
Modelling recovery rates for non-performing loans H Ye, A Bellotti Risks 7 (1), 19, 2019 | 36 | 2019 |
Asset correlations for credit card defaults J Crook, T Bellotti Applied Financial Economics 22 (2), 87-95, 2012 | 31 | 2012 |
Reliable region predictions for automated valuation models A Bellotti Annals of Mathematics and Artificial Intelligence 81 (1), 71-84, 2017 | 30 | 2017 |
Identification of credit risk based on cluster analysis of account behaviours M Bakoben, T Bellotti, N Adams Journal of the Operational Research Society 71 (5), 775-783, 2020 | 29 | 2020 |
Loss Given Default models for UK retail credit cards T Bellotti, J Crook Credit Research Centre, 2009 | 27 | 2009 |