International Journals & Book Chapters
- 13. Lucas Y., Portier P.E., Laporte L, He-Guelton L., Caelen O., Granitzer M., Calabretto S. Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. Future Generation Computer Systems.Elsevier 2020.
- 12. Gianini G., Fossi L.G., Mio C., Caelen O., Brunie L., Damiani E. Managing a pool of rules for credit card fraud detection by a Game Theory based approach. Future Generation Computer Systems.Elsevier 2020.
- 11. Carcillo, F., Le Borgne, Y.A., Caelen, O., Kessaci, Y., Oblé, F., Bontempi, G. Combining Unsupervised and Supervised Learning in Credit Card Fraud Detection. Journal of Information Sciences.Elsevier 2019.
- 10. De Stefani J., Le Borgne, Y. A., Caelen, O., Hattab, D., Bontempi, G. Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. International Journal of Data Science and Analytics.Springer 2018.
- 9. Carcillo, F., Le Borgne, Y. A., Caelen, O., Bontempi, G. Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. International Journal of Data Science and Analytics.Springer 2018. [PDF]
- 8. Jurgovsky, J., Granitzer, M., Ziegler, K., Calabretto, S., Portier, P.-E., He-Guelton, L., Caelen, O. Sequence classification for credit-card fraud detection. Expert Systems with Applications.Elsevier 2018.
- 7. Caelen, O. A Bayesian interpretation of the confusion matrix. Annals of Mathematics and Artificial Intelligence. Springer 2017 [PDF]
- 6. Dal Pozzolo, A., Boracchi, G., Caelen, O., Alippi, C., Bontempi, G. Credit Card Fraud Detection: a Realistic Modeling and a Novel Learning Strategy. IEEE Transactions on Neural Networks and Learning Systems. 2017 [PDF]
- 5. Carcillo, F., Dal Pozzolo, A., Le Borgne, Y. A., Caelen, O., Mazzer, Y., Bontempi, G. SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark. Information Fusion.Elsevier 2017. [PDF]
- 4. Van Vlasselaer V., Bravo C., Caelen O., Eliassi-Rad T., Akoglu L., Snoeck M., Baesens B. APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decision Support Systems.Elsevier 2015.
- 3. Dal Pozzolo A., Caelen O., Le Borgne Y.-A., Waterschoot S., Bontempi G. Learned lessons in credit card fraud detection from a practitioner perspective. Expert Systems with Applications.Elsevier 2014. [PDF]
- 2. Caelen O., Bontempi G. A dynamic programming strategy to balance exploration and exploitation in the bandit problem. Annals of Mathematics and Artificial Intelligence.Springer 2010. [PDF]
- 1. Miranda A., Caelen O., Bontempi G. Machine Learning for Automated Polyp Detection in Computed Tomography Colonography. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques. F.A. Gonzalez and E. Romero (Eds.), Medical Information Science Reference, 2009. 24 pages.
Conferences
- 25. Verhelst T., Caelen O., Dewitte J.C., Lebichot B., Bontempi G. Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. Benelearn, 2019 [PDF]
- 24. Lucas, Y., Portier, P.E., Laporte, L., Calabretto, S., Caelen, O., He-Guelton, L., Granitzer, M. Multiple perspectives HMM-based feature engineering for credit card fraud detection. 4th ACM/SIGAPP Symposium on Applied Computing, 2019
- 23. Frery, J., Habrard, A., Sebban, M., Caelen, O., He-Guelton, L. Online Non-linear Gradient Boosting in Multi-latent Spaces. International Symposium on Intelligent Data Analysis, 2018
- 22. Russac, Y., Caelen, O., He-Guelton, L. Embeddings of Categorical Variables for Sequential Data in Fraud Context. International Conference on Advanced Machine Learning Technologies and Applications , 2018 [PDF]
- 21. Carcillo F., Le Borgne Y.-A., Caelen O., Bontempi G. An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. The 4th IEEE International Conference on Data Science and Advanced Analytics, 2017 [PDF]
- 20. Frery F., Habrard H., Sebban M., Caelen O., He-Guelton L. Efficient top rank optimization with gradient boosting for supervised anomaly detection. European Conference on Machine Learning (ECML PKDD) , 2017 [PDF]
- 19. De Stefani J., Caelen O., Hattab D., Bontempi G. Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. The 2nd Workshop on MIning DAta for financial applicationS (MIDAS) , 2017 [PDF]
- 18. Ziegler K., Caelen O., Garchery M., Granitzer M., He-Guelton L., Jurgovsky J., Portier P.E., Zwicklbauer S. Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings. The 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017
- 17. Braun F., Caelen O., Smirnov E.N., Kelk S., Lebichot B. Improving card fraud detection through suspicious pattern discovery. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, 2017 [PDF]
- 16. De Stefani J., Bontempi G., Caelen O., Hattab D. Multi-step-ahead prediction of volatility proxies. Benelearn, 2017 [PDF]
- 15. Lebichot B., Braun F., Caelen O., Saerens M. A graph-based, semi-supervised, credit card fraud detection system. The 5th International Workshop on Complex Networks and their Applications, 2016 [PDF]
- 14. Dal Pozzolo A., Caelen O., Johnson R., Bontempi G. Calibrating Probability with Undersampling for Unbalanced Classification. IEEE Symposium Series on Computational Intelligence (SCCI), 2015 [PDF]
- 13. Dal Pozzolo A., Caelen O., Bontempi G. When is undersampling effective in unbalanced classification tasks?. European Conference on Machine Learning (ECML PKDD), 2015 [PDF]
- 12. Dal Pozzolo A., Boracchi G., Caelen O., Alippi C., Bontempi G.Credit Card Fraud Detection and Concept-Drift Adaptation with Delayed Supervised Information. IEEE International Joint Conference on Neural Networks (IJCNN), 2015 [PDF]
- 11. Dal Pozzolo A., Johnson R., Caelen O., Waterschoot S., Chawla N.V, Bontempi G. Using HDDT to avoid instances propagation in unbalanced and evolving data streams. IEEE International Joint Conference on Neural Networks (IJCNN), 2014 [PDF]
- 10. Dal Pozzolo A., Caelen O., Waterschoot S., Bontempi G. Racing for unbalanced methods selection . IDEAL 2013 -- The International Conference on Intelligent Data Engineering and Automated Learning , 2013 [PDF]
- 9. Caelen O., Cailloux O., Ghoundiwal D., Miranda A.A., Barvais L, Bontempi G. Real-time prediction of an anesthetic monitor index using machine learning . ECML PKDD 2011 -- The First International Workshop on Knowledge Discovery in Health Care and Medicine,2011 [PDF -- long version]
- 8. Bontempi G., Caelen O. A Selecting-the-Best Method for Budgeted Model Selection . ECML PKDD 2011 MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, Lecture Notes in Computer Science, 2011
- 7. Leignel C., Caelen O., Debeir O., Hanson E., Leloup T., Simler C, Beumier C., Bontempi G., Warzée N., Wolff E. Detecting man-made structure changes to assist geographic data producers in planning their update strategy . Core Spatial Databases Updating, Maintenance and Services from Theory to Practice, 2010.
- 6. Caelen O., Bontempi G. Improving the exploration strategy in bandit algorithms. In the proceedings of Learning and Intelligent OptimizatioN LION II , Lecture Notes in Computer Science, 2007.
- 5. Caelen O., Bontempi G., Barvais L. Machine learning techniques for decision support in anesthesia. In the proceedings of the 11th Conference on Artificial Intelligence in Medicine , Lecture Notes in Computer Science, 2007.
- 4. Caelen O., Bontempi G., Coussaert E., Barvais L., Clément F. Machine learning techniques to enable closed-loop control in anesthesia. In the proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems , 2006.
- 3. Caelen O., Bontempi G. How to allocate a restricted budget of leave-one-out assessments for effective model selection in machine learning: a comparison of state-of-the-art techniques. In the proceedings of The 17th Belgian-Dutch Conference on Artificial Intelligence , 2005.
- 2. Meyer P.E., Caelen O., Bontempi G. Speeding up Feature Selection by Using an Information Theoretic Bound. In the proceedings of The 17th Belgian-Dutch Conference on Artificial Intelligence , 2005.
- 1. Bontempi G., Caelen O., Pierret S., Goffaux C. On the use of supervised learning techniques to speed up the design of aeronautics components. WSEAS Transactions on Systems, 2005.
Posters
- 5. Dal Pozzolo A., Caelen O., Bontempi G. Comparison of balancing techniques for unbalanced datasets. IEEE International Conference on Data Mining, 2012.
- 4. Van Rompaey N., Engelman E., Caelen O., Verleije A., Ickx B. Influence of Entropy Monitoring on Drug Consumption during and after Long Lasting TCI Anesthesia. The Euroanaesthesia Meeting, 2007.
- 3. Caelen O., Engelman E., Schmartz D., Bontempi G., Barvais L. Preliminary Results of Data Mining in BIS guided Propofol-Remifentanil TCI Anaesthesia. The Euroanaesthesia Meeting, 2006.
- 2. Caelen O., Bontempi G., Clément F., Coussaert E., Barvais L. Simulation assessment of a closed-loop controller designed by machine learning techniques. 9 th EUROSIVA MEETING, 2006.
- 1. Bejjani G., Caelen O., Bontempi G., Perrin L., Barvais L. Retrospective comparison of manual versus semi-automated propofol-remifentanil TCI Anaesthesia. 9 th EUROSIVA MEETING, 2006.
Technical Reports
- 1. Caelen O., Bontempi G. On the evolution of the expected gain of a greedy action in the bandit problem , ULB Technical Report Num 589, 2008.
Theses
- 5. Caelen O. Quantification and learning algorithms to manage prior probability shift. Master Thesis in Statistics under the supervision of Prof. Marco Saerens and Prof. Johan Segers, 2009. [PDF]
- 3. Caelen O. Sélection Séquentielle en Environnement Aléatoire Appliquée à l'Apprentissage Supervisé. Ph.D. Thesis in Sciences under the supervision of Prof. Gianluca Bontempi, 2009.
- 2. Caelen O. A comparison of strategies for speeding-up the model selection task in machine learning. Master Thesis in Advanced Studies of the Computer Science Department of the Université Libre de Bruxelles under the supervision of Prof. Gianluca Bontempi, 2005.
- 1. Caelen O. Apprentissage de modèles compacts pour la simulation numérique en aéronautique. Thesis in Computer Science at the Université Libre de Bruxelles under the supervision of Prof. Gianluca Bontempi, 2004.
Invited speaker in workshops
- 5. Caelen O. Machine Learning and fraud detection. Advance Analytics Workshop at ING, July 2016.
- 4. Caelen O. Credit Card Fraud Detection and Concept-Drift Adaptation with Delayed Supervised Information. 15e Workshop MDPS (Multimedia Distributed Pervasive Secure Systems) , 2015.
- 3. Caelen O. ARMURS -- Automatic Recognition for Map Update by Remote Sensing . EuroSDR Workshop on Automated Change Detection for Updating National Databases , at Ordnance Survey, Southampton, UK. March 2010.
- 2. Caelen O. Data mining in the context of anaesthesia. Workshop of the Erasme Anesthesia department , November 2006.
- 1. Caelen O. Application du Data mining à l'AIVOC et au BIS. Workshop at SFAR- club SFIMAR, Octobre 2006.
