Olivier Caelen
Olivier Caelen
Orange
Zweryfikowany adres z ulb.ac.be - Strona główna
Tytuł
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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
2422014
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
2152015
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
2142015
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
1242017
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
1082018
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
712018
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
602015
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
582015
Racing for unbalanced methods selection
A Dal Pozzolo, O Caelen, S Waterschoot, G Bontempi
International conference on intelligent data engineering and automated …, 2013
402013
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, 2019
352019
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
312018
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
212016
A Bayesian interpretation of the confusion matrix
O Caelen
Annals of Mathematics and Artificial Intelligence 81 (3-4), 429-450, 2017
202017
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
202017
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
152014
unbalanced: Racing for unbalanced methods selection
AD Pozzolo, O Caelen, G Bontempi
R package version 2, 2015
142015
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
132019
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
132017
Improving the exploration strategy in bandit algorithms
O Caelen, G Bontempi
International Conference on Learning and Intelligent Optimization, 56-68, 2007
132007
An assessment of streaming active learning strategies for real-life credit card fraud detection
F Carcillo, YA Le Borgne, O Caelen, G Bontempi
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
102017
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