| A data mining framework to model consumer indebtedness with psychological factors A Ladas, J Garibaldi, E Ferguson, U Aickelin 2014 IEEE International Conference on Data Mining Workshop, 150-157, 2014 | 15 | 2014 |
| Augmented neural networks for modelling consumer indebtness A Ladas, J Garibaldi, R Scarpel, U Aickelin 2014 International Joint Conference on Neural Networks (IJCNN), 3086-3093, 2014 | 8 | 2014 |
| Biomarker clustering of colorectal cancer data to complement clinical classification C Roadknight, U Aickelin, A Ladas, D Soria, J Scholefield, L Durrant 2012 Federated Conference on Computer Science and Information Systems …, 2012 | 5 | 2012 |
| Using clustering to extract personality information from socio economic data A Ladas, U Aickelin, J Garibaldi, E Ferguson arXiv preprint arXiv:1307.1998, 2013 | 4 | 2013 |
| Indebted households profiling: a knowledge discovery from database approach RA Scarpel, A Ladas, U Aickelin Annals of Data Science 2, 43-59, 2015 | 3 | 2015 |
| Potential of psychological information to support knowledge discovery in consumer debt analysis A Ladas, U Aickelin, J Garibaldi, E Ferguson University of Nottingham, 2016 | 2 | 2016 |
| Scarpel, Rodrigo and Aickelin, Uwe (2014) Augmented neural networks for modelling consumer indebtness. In: 2014 International Joint Conference on Neural Networks (IJCNN), 6-11 … A Ladas, JM Garibaldi | | |
| Building Behavioural Profiles of Debtors A Ladas | | |
Uwe AickelinHead of School, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
