| 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 |
| 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 | 643 | 2021 |
| 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 | 620 | 2018 |
| 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 | 615 | 2015 |
| 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 |
| A Bayesian interpretation of the confusion matrix O Caelen Annals of Mathematics and Artificial Intelligence 81 (3), 429-450, 2017 | 330 | 2017 |
| 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 |
| 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 | 187 | 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 (4), 285-300, 2018 | 176 | 2018 |
| A socio-technical approach to preventing, mitigating, and recovering from ransomware attacks DF Sittig, H Singh Applied clinical informatics 7 (02), 624-632, 2016 | 170 | 2016 |
| 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 |
| Efficient top rank optimization with gradient boosting for supervised anomaly detection J Frery, A Habrard, M Sebban, O Caelen, L He-Guelton Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 75 | 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 | 72 | 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 | 71 | 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 | 57 | 2019 |
| Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More O Caelen, MA Blete " O'Reilly Media, Inc.", 2024 | 37 | 2024 |
| Improving the exploration strategy in bandit algorithms O Caelen, G Bontempi International Conference on Learning and Intelligent Optimization, 56-68, 2007 | 37 | 2007 |
Gianluca BontempiFull professor, Machine Learning Group, Université Libre de BruxellesVerified email at ulb.ac.be
