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Author

Olivier Caelen

Observed names: Caelen, Olivier, O. Caelen
Institution: Sirris
ORCID: 0000-0001-6970-9825
Observed ORCID: 0000-0001-6970-9825
OpenAlex ID: A5062257690
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
2017 · Andrea Dal Pozzolo, Giacomo Boracchi, et al. · IEEE Transactions on Neural Networks and Learning Systems · 831
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Calibrating Probability with Undersampling for Unbalanced Classification
2015 · Andrea Dal Pozzolo, Olivier Caelen, et al. · IEEE Symposium Series on Computational Intelligence (SSCI) · 768
Sequence classification for credit-card fraud detection
2018 · Johannes Jurgovsky, Michael Granitzer, et al. · Expert Systems with Applications · 632
Learned lessons in credit card fraud detection from a practitioner perspective
2014 · Andrea Dal Pozzolo, Olivier Caelen, et al. · Expert Systems with Applications · 617
Combining unsupervised and supervised learning in credit card fraud detection
2019 · Fabrizio Carcillo, Yann-Aël Le Borgne, et al. · Information Sciences · 575
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions
2015 · Véronique Van Vlasselaer, Cristián Bravo, et al. · Decision Support Systems · 469
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SCARFF : A scalable framework for streaming credit card fraud detection with spark
2017 · Fabrizio Carcillo, Andrea Dal Pozzolo, et al. · Information Fusion · 335
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A Bayesian interpretation of the confusion matrix
2017 · Olivier Caelen · Annals of Mathematics and Artificial Intelligence · 239
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
2019 · Yvan Lucas, Pierre-Edouard Portier, et al. · Future Generation Computer Systems · 163
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Credit card fraud detection and concept-drift adaptation with delayed supervised information
2015 · Andrea Dal Pozzolo, Giacomo Boracchi, et al. · International Joint Conference on Neural Networks (IJCNN) · 150
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
2018 · Fabrizio Carcillo, Yann-Aël Le Borgne, et al. · International Journal of Data Science and Analytics · 137
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When is Undersampling Effective in Unbalanced Classification Tasks?
2015 · Andrea Dal Pozzolo, Olivier Caelen, et al. · Lecture notes in computer science · 135
Racing for Unbalanced Methods Selection
2013 · Andrea Dal Pozzolo, Olivier Caelen, et al. · Lecture notes in computer science · 60
Machine Learning Methods for Credit Card Fraud Detection: A Survey
2024 · Kanishka Ghosh Dastidar, Olivier Caelen, et al. · IEEE Access · 59
Managing a pool of rules for credit card fraud detection by a Game Theory based approach
2019 · Gabriele Gianini, Leopold Ghemmogne Fossi, et al. · Future Generation Computer Systems · 57
A graph-based, semi-supervised, credit card fraud detection system
2016 · Bertrand Lebichot, Fabian Braun, et al. · Studies in computational intelligence · 55
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection
2017 · Jordan Frery, Amaury Habrard, et al. · Lecture notes in computer science · 51
Multiple perspectives HMM-based feature engineering for credit card fraud detection
2019 · Yvan Lucas, Pierre-Edouard Portier, et al. · ACM Symposium on Applied Computing · 47
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Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
2023 · Daniele Lunghi, Alkis Simitsis, et al. · 31
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Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
2018 · Jacopo De Stefani, Yann-Aël Le Borgne, et al. · International Journal of Data Science and Analytics · 27
Improving the Exploration Strategy in Bandit Algorithms
2008 · Olivier Caelen, Gianluca Bontempi · Lecture notes in computer science · 27
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection
2017 · Fabrizio Carcillo, Yann-Ael Le Borgne, et al. · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 25
Using HDDT to avoid instances propagation in unbalanced and evolving data streams
2014 · Andrea Dal Pozzolo, Reid Johnson, et al. · International Joint Conference on Neural Networks (IJCNN) · 25
An Adversary Model of Fraudsters’ Behavior to Improve Oversampling in Credit Card Fraud Detection
2023 · Daniele Lunghi, Gian Marco Paldino, et al. · IEEE Access · 19
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Improving Card Fraud Detection Through Suspicious Pattern Discovery
2017 · Fabian Braun, Olivier Caelen, et al. · Lecture notes in computer science · 19
Works count: 68
Citation count: 5,672
H-index: 23
I10-index: 28
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