Olivier Caelen

According to our database, Olivier Caelen authored at least 39 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Calibration methods in imbalanced binary classification.

Théo Guilbert, Olivier Caelen, Andrei Chirita, Marco Saerens

Ann. Math. Artif. Intell., October, 2024

Machine Learning Methods for Credit Card Fraud Detection: A Survey.

Kanishka Ghosh Dastidar, Olivier Caelen, Michael Granitzer

IEEE Access, 2024

2023

An Adversary Model of Fraudsters' Behavior to Improve Oversampling in Credit Card Fraud Detection.

Daniele Lunghi, Gian Marco Paldino, Olivier Caelen, Gianluca Bontempi

IEEE Access, 2023

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives.

Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi

Proceedings of the Second ACM Data Economy Workshop, 2023

2021

Combining unsupervised and supervised learning in credit card fraud detection.

Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Yacine Kessaci, Frédéric Oblé, Gianluca Bontempi

Inf. Sci., 2021

2020

Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs.

Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto

Future Gener. Comput. Syst., 2020

Managing a pool of rules for credit card fraud detection by a Game Theory based approach.

Gabriele Gianini, Leopold Ghemmogne Fossi, Corrado Mio, Olivier Caelen, Lionel Brunie, Ernesto Damiani

Future Gener. Comput. Syst., 2020

2019

Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting.

Jacopo De Stefani, Yann-Aël Le Borgne, Olivier Caelen, Dalila Hattab, Gianluca Bontempi

Int. J. Data Sci. Anal., 2019

Multiple perspectives HMM-based feature engineering for credit card fraud detection.

Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.

Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi

Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy.

Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi

IEEE Trans. Neural Networks Learn. Syst., 2018

SCARFF: A scalable framework for streaming credit card fraud detection with spark.

Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi

Inf. Fusion, 2018

Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization.

Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi

Int. J. Data Sci. Anal., 2018

Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization.

Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi

Int. J. Data Sci. Anal., 2018

Sequence classification for credit-card fraud detection.

Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, Sylvie Calabretto, Pierre-Edouard Portier, Liyun He-Guelton, Olivier Caelen

Expert Syst. Appl., 2018

A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.

Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi

Proceedings of the ECML PKDD 2018 Workshops, 2018

Online Non-linear Gradient Boosting in Multi-latent Spaces.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Embeddings of Categorical Variables for Sequential Data in Fraud Context.

Yoan Russac, Olivier Caelen, Liyun He-Guelton

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2018

2017

A Bayesian interpretation of the confusion matrix.

Olivier Caelen

Ann. Math. Artif. Intell., 2017

Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings.

Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies.

Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Gianluca Bontempi

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Improving Card Fraud Detection Through Suspicious Pattern Discovery.

Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection.

Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

A graph-based, semi-supervised, credit card fraud detection system.

Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens

Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

2015

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions.

Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens

Decis. Support Syst., 2015

Calibrating Probability with Undersampling for Unbalanced Classification.

Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

When is Undersampling Effective in Unbalanced Classification Tasks?

Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Credit card fraud detection and concept-drift adaptation with delayed supervised information.

Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Learned lessons in credit card fraud detection from a practitioner perspective.

Andrea Dal Pozzolo, Olivier Caelen, Yann-Aël Le Borgne, Serge Waterschoot, Gianluca Bontempi

Expert Syst. Appl., 2014

Using HDDT to avoid instances propagation in unbalanced and evolving data streams.

Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Racing for Unbalanced Methods Selection.

Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2011

A Selecting-the-Best Method for Budgeted Model Selection.

Gianluca Bontempi, Olivier Caelen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

A dynamic programming strategy to balance exploration and exploitation in the bandit problem.

Olivier Caelen, Gianluca Bontempi

Ann. Math. Artif. Intell., 2010

2007

Improving the Exploration Strategy in Bandit Algorithms.

Olivier Caelen, Gianluca Bontempi

Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

Machine Learning Techniques for Decision Support in Anesthesia.

Olivier Caelen, Gianluca Bontempi, Luc Barvais

Proceedings of the Artificial Intelligence in Medicine, 2007

2006

Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia.

Olivier Caelen, Gianluca Bontempi, Eddy Coussaert, Luc Barvais, François Clément

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Speeding up Feature Selection by Using an Information Theoretic Bound.

Patrick Emmanuel Meyer, Olivier Caelen, Gianluca Bontempi

Proceedings of the BNAIC 2005, 2005

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.

Olivier Caelen, Gianluca Bontempi

Proceedings of the BNAIC 2005, 2005