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 (BNAIC, 2005)

Speeding up Feature Selection by Using an Information Theoretic Bound. - Patrick Emmanuel Meyer; Olivier Caelen; Gianluca Bontempi (BNAIC, 2005)

Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia. - Olivier Caelen; Gianluca Bontempi; Eddy Coussaert; Luc Barvais; François Clément (CBMS, 2006)

Machine Learning Techniques for Decision Support in Anesthesia. - Olivier Caelen; Gianluca Bontempi; Luc Barvais (AIME, 2007)

Improving the Exploration Strategy in Bandit Algorithms. - Olivier Caelen; Gianluca Bontempi (LION, 2007)

A dynamic programming strategy to balance exploration and exploitation in the bandit problem. - Olivier Caelen; Gianluca Bontempi (Ann. Math. Artif. Intell., 2010)

A Selecting-the-Best Method for Budgeted Model Selection. - Gianluca Bontempi; Olivier Caelen (ECML/PKDD (1), 2011)

Racing for Unbalanced Methods Selection. - Andrea Dal Pozzolo; Olivier Caelen; Serge Waterschoot; Gianluca Bontempi (IDEAL, 2013)

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 (IJCNN, 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)

Credit card fraud detection and concept-drift adaptation with delayed supervised information. - Andrea Dal Pozzolo; Giacomo Boracchi; Olivier Caelen; Cesare Alippi; Gianluca Bontempi (IJCNN, 2015)

When is Undersampling Effective in Unbalanced Classification Tasks? - Andrea Dal Pozzolo; Olivier Caelen; Gianluca Bontempi (ECML/PKDD (1), 2015)

Calibrating Probability with Undersampling for Unbalanced Classification. - Andrea Dal Pozzolo; Olivier Caelen; Reid A. Johnson; Gianluca Bontempi (SSCI, 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)

A graph-based, semi-supervised, credit card fraud detection system. - Bertrand Lebichot; Fabian Braun; Olivier Caelen; Marco Saerens (COMPLEX NETWORKS, 2016)

An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. - Fabrizio Carcillo; Yann-Aël Le Borgne; Olivier Caelen; Gianluca Bontempi (DSAA, 2017)

Improving Card Fraud Detection Through Suspicious Pattern Discovery. - Fabian Braun; Olivier Caelen; Evgueni N. Smirnov; Steven Kelk; Bertrand Lebichot (IEA/AIE (2), 2017)

Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. - Jordan Fréry; Amaury Habrard; Marc Sebban; Olivier Caelen; Liyun He-Guelton (ECML/PKDD (1), 2017)

Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. - Jacopo De Stefani; Olivier Caelen; Dalila Hattab; Gianluca Bontempi (MIDAS@PKDD/ECML, 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 (WETICE, 2017)

A Bayesian interpretation of the confusion matrix. - Olivier Caelen (Ann. Math. Artif. Intell., 2017)

Embeddings of Categorical Variables for Sequential Data in Fraud Context. - Yoan Russac; Olivier Caelen; Liyun He-Guelton (AMLTA, 2018)

Online Non-linear Gradient Boosting in Multi-latent Spaces. - Jordan Fréry; Amaury Habrard; Marc Sebban; Olivier Caelen; Liyun He-Guelton (IDA, 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 (MIDAS/PAP@PKDD/ECML, 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)

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)

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)

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)

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)

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. - Théo Verhelst; Olivier Caelen; Jean-Christophe Dewitte; Bertrand Lebichot; Gianluca Bontempi (BNAIC/BENELEARN (Selected Papers), 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 (SAC, 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)

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)

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)

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)

Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. - Daniele Lunghi; Alkis Simitsis; Olivier Caelen; Gianluca Bontempi (DEC@SIGMOD, 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)

Machine Learning Methods for Credit Card Fraud Detection: A Survey. - Kanishka Ghosh Dastidar; Olivier Caelen; Michael Granitzer (IEEE Access, 2024)

Calibration methods in imbalanced binary classification. - Théo Guilbert; Olivier Caelen; Andrei Chirita; Marco Saerens (Ann. Math. Artif. Intell., 2024)

Integrating Domain Adaptation and Causal Discovery in Digital Twins for Plastic Injection Molding. - Gian Marco Paldino; Olivier Caelen; Marouene Oueslati; Marc Ansay; Tojo Valisoa A. Johanesa; Gianluca Bontempi (PerCom Workshops, 2025)