| 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 | 565 | 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 | 500 | 2014 |
| APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions V Van Vlasselaer, C Bravo, O Caelen, T Eliassi-Rad, L Akoglu, M Snoeck, ... Decision Support Systems 75, 38-48, 2015 | 467 | 2015 |
| 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 | 443 | 2017 |
| Sequence classification for credit-card fraud detection J Jurgovsky, M Granitzer, K Ziegler, S Calabretto, PE Portier, ... Expert systems with applications 100, 234-245, 2018 | 356 | 2018 |
| Combining unsupervised and supervised learning in credit card fraud detection F Carcillo, YA Le Borgne, O Caelen, Y Kessaci, F Oblé, G Bontempi Information sciences 557, 317-331, 2021 | 304 | 2021 |
| 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 | 221 | 2018 |
| A Bayesian interpretation of the confusion matrix O Caelen Annals of Mathematics and Artificial Intelligence 81 (3-4), 429-450, 2017 | 171 | 2017 |
| When is undersampling effective in unbalanced classification tasks? A Dal Pozzolo, O Caelen, G Bontempi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 135 | 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 | 121 | 2015 |
| Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs Y Lucas, PE Portier, L Laporte, L He-Guelton, O Caelen, M Granitzer, ... Future Generation Computer Systems 102, 393-402, 2020 | 109 | 2020 |
| Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization F Carcillo, YA Le Borgne, O Caelen, G Bontempi International Journal of Data Science and Analytics 5, 285-300, 2018 | 106 | 2018 |
| Racing for unbalanced methods selection A Dal Pozzolo, O Caelen, S Waterschoot, G Bontempi Intelligent Data Engineering and Automated Learning–IDEAL 2013: 14th …, 2013 | 66 | 2013 |
| Efficient top rank optimization with gradient boosting for supervised anomaly detection J Frery, A Habrard, M Sebban, O Caelen, L He-Guelton Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 61 | 2017 |
| A graph-based, semi-supervised, credit card fraud detection system B Lebichot, F Braun, O Caelen, M Saerens International Workshop on Complex Networks and their Applications, 721-733, 2016 | 54 | 2016 |
| Managing a pool of rules for credit card fraud detection by a Game Theory based approach G Gianini, LG Fossi, C Mio, O Caelen, L Brunie, E Damiani Future Generation Computer Systems 102, 549-561, 2020 | 40 | 2020 |
| Multiple perspectives HMM-based feature engineering for credit card fraud detection Y Lucas, PE Portier, L Laporte, S Calabretto, O Caelen, L He-Guelton, ... Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1359-1361, 2019 | 36 | 2019 |
| Improving the exploration strategy in bandit algorithms O Caelen, G Bontempi International Conference on Learning and Intelligent Optimization, 56-68, 2007 | 28 | 2007 |
| 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 | 26 | 2014 |
| Injecting semantic background knowledge into neural networks using graph embeddings K Ziegler, O Caelen, M Garchery, M Granitzer, L He-Guelton, J Jurgovsky, ... 2017 IEEE 26th International Conference on Enabling Technologies …, 2017 | 22 | 2017 |
Gianluca BontempiUniversité Libre de BruxellesVerified email at ulb.ac.be
