| Credit card fraud detection: a realistic modeling and a novel learning strategy A Dal Pozzolo, G Boracchi, O Caelen, C Alippi, G Bontempi IEEE transactions on neural networks and learning systems 29 (8), 3784-3797, 2017 | 891 | 2017 |
| Calibrating probability with undersampling for unbalanced classification A Dal Pozzolo, O Caelen, RA Johnson, G Bontempi 2015 IEEE symposium series on computational intelligence, 159-166, 2015 | 879 | 2015 |
| Learned lessons in credit card fraud detection from a practitioner perspective A Dal Pozzolo, O Caelen, YA Le Borgne, S Waterschoot, G Bontempi Expert systems with applications 41 (10), 4915-4928, 2014 | 727 | 2014 |
| Scarff: a scalable framework for streaming credit card fraud detection with spark F Carcillo, A Dal Pozzolo, YA Le Borgne, O Caelen, Y Mazzer, ... Information fusion 41, 182-194, 2018 | 389 | 2018 |
| When is undersampling effective in unbalanced classification tasks? A Dal Pozzolo, O Caelen, G Bontempi Joint european conference on machine learning and knowledge discovery in …, 2015 | 192 | 2015 |
| Credit card fraud detection and concept-drift adaptation with delayed supervised information A Dal Pozzolo, G Boracchi, O Caelen, C Alippi, G Bontempi 2015 international joint conference on Neural networks (IJCNN), 1-8, 2015 | 188 | 2015 |
| Adaptive machine learning for credit card fraud detection A Dal Pozzolo Université libre de Bruxelles, 2015 | 144 | 2015 |
| Racing for unbalanced methods selection A Dal Pozzolo, O Caelen, S Waterschoot, G Bontempi International conference on intelligent data engineering and automated …, 2013 | 77 | 2013 |
| Using HDDT to avoid instances propagation in unbalanced and evolving data streams A Dal Pozzolo, R Johnson, O Caelen, S Waterschoot, NV Chawla, ... 2014 International joint conference on neural networks (IJCNN), 588-594, 2014 | 36 | 2014 |
| unbalanced: Racing for unbalanced methods selection AD Pozzolo, O Caelen, G Bontempi R package version 2, 2015 | 26 | 2015 |
| Comparison of balancing techniques for unbalanced datasets A Dal Pozzolo, O Caelen, G Bontempi Mach. Learn. Gr. Univ. Libr. Bruxelles Belgium 16 (1), 732-735, 2010 | 21 | 2010 |
| Comparison of data mining techniques for insurance claim prediction A Dal Pozzolo, G Moro, G Bontempi, DYA Le Borgne Universita degli Studi di Bologna, 2011 | 19 | 2011 |
| Credit card fraud detection dataset AD Pozzolo, O Caelen, R Johnson, S Waterschoot, G Bontempi Kaggle, 2015 | 13 | 2015 |
| Adaptive Machine Learning for Credit Card Fraud Detection Declaration of Authorship AD Pozzolo Dr.-Univ. Libr. Bruxelles, no. December, 199, 2015 | 6 | 2015 |
| Credit Card Fraud Detection AD Pozzolo ed, 2015 | 5 | 2015 |
| Package ‘unbalanced’ A Dal Pozzolo, O Caelen, G Bontempi, MA Dal Pozzolo | 3 | 2015 |
| Minimum redundancy maximum relevance: Mapreduce implementation using apache hadoop C Reggiani, YA Le Borgne, A Dal Pozzolo, C Olsen, G Bontempi | 2 | 2014 |
| Breadth Indicator, Contrarian Analysis to Financial Market Partecipation A Dal Pozzolo Università degli Studi di Bologna, 2008 | | 2008 |
| Gli indicatori di spessore, un'analisi contraria della partecipazione ai mercati finanziari A Dal Pozzolo | | 2008 |
| Is Machine Learning useful for Fraud prevention? A Dal Pozzolo | | |
Gianluca BontempiFull professor, Machine Learning Group, Université Libre de BruxellesVerified email at ulb.ac.be
