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ORCIDOlivier Caelen
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2020 – today
- 2024
[j16]Kanishka Ghosh Dastidar
, Olivier Caelen, Michael Granitzer:
Machine Learning Methods for Credit Card Fraud Detection: A Survey. IEEE Access 12: 158939-158965 (2024)- [j15]Théo Guilbert, Olivier Caelen, Andrei Chirita, Marco Saerens:
Calibration methods in imbalanced binary classification. Ann. Math. Artif. Intell. 92(5): 1319-1352 (2024) - 2023
- [j14]Daniele Lunghi, Gian Marco Paldino, Olivier Caelen, Gianluca Bontempi:
An Adversary Model of Fraudsters' Behavior to Improve Oversampling in Credit Card Fraud Detection. IEEE Access 11: 136666-136679 (2023) - [c24]Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. DEC@SIGMOD 2023: 27-33 - [i5]Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. CoRR abs/2307.01390 (2023) - 2021
- [j13]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Yacine Kessaci, Frédéric Oblé, Gianluca Bontempi:
Combining unsupervised and supervised learning in credit card fraud detection. Inf. Sci. 557: 317-331 (2021) - 2020
- [j12]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. Future Gener. Comput. Syst. 102: 393-402 (2020) - [j11]Gabriele Gianini, Leopold Ghemmogne Fossi, Corrado Mio, Olivier Caelen, Lionel Brunie, Ernesto Damiani:
Managing a pool of rules for credit card fraud detection by a Game Theory based approach. Future Gener. Comput. Syst. 102: 549-561 (2020)
2010 – 2019
- 2019
- [j10]Jacopo De Stefani, Yann-Aël Le Borgne, Olivier Caelen, Dalila Hattab, Gianluca Bontempi:
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. Int. J. Data Sci. Anal. 7(4): 311-329 (2019) - [c23]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN 2019 - [c22]Théo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi:
Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference. BNAIC/BENELEARN (Selected Papers) 2019: 182-200 - [c21]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. SAC 2019: 1359-1361 - [i4]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. CoRR abs/1905.06247 (2019) - [i3]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. CoRR abs/1909.01185 (2019) - 2018
- [j9]Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, Sylvie Calabretto, Pierre-Edouard Portier, Liyun He-Guelton, Olivier Caelen:
Sequence classification for credit-card fraud detection. Expert Syst. Appl. 100: 234-245 (2018) - [j8]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. Int. J. Data Sci. Anal. 5(4): 285-300 (2018) - [j7]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Correction to: Streaming active learning strategies for real-life credit detection: assessment and visualization. Int. J. Data Sci. Anal. 5(4): 301-302 (2018) - [j6]Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi:
SCARFF: A scalable framework for streaming credit card fraud detection with spark. Inf. Fusion 41: 182-194 (2018) - [j5]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3784-3797 (2018) - [c20]Yoan Russac, Olivier Caelen, Liyun He-Guelton:
Embeddings of Categorical Variables for Sequential Data in Fraud Context. AMLTA 2018: 542-552 - [c19]Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton:
Online Non-linear Gradient Boosting in Multi-latent Spaces. IDA 2018: 99-110 - [c18]Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi:
A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting. MIDAS/PAP@PKDD/ECML 2018: 7-22 - [i2]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization. CoRR abs/1804.07481 (2018) - 2017
- [j4]Olivier Caelen:
A Bayesian interpretation of the confusion matrix. Ann. Math. Artif. Intell. 81(3-4): 429-450 (2017) - [c17]Fabrizio Carcillo, Yann-Aël Le Borgne, Olivier Caelen, Gianluca Bontempi:
An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. DSAA 2017: 631-639 - [c16]Fabian Braun, Olivier Caelen, Evgueni N. Smirnov, Steven Kelk, Bertrand Lebichot:
Improving Card Fraud Detection Through Suspicious Pattern Discovery. IEA/AIE (2) 2017: 181-190 - [c15]Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Gianluca Bontempi:
Machine Learning for Multi-step Ahead Forecasting of Volatility Proxies. MIDAS@PKDD/ECML 2017: 17-28 - [c14]Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton:
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. ECML/PKDD (1) 2017: 20-35 - [c13]Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer:
Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings. WETICE 2017: 200-205 - [i1]Fabrizio Carcillo, Andrea Dal Pozzolo, Yann-Aël Le Borgne, Olivier Caelen, Yannis Mazzer, Gianluca Bontempi:
SCARFF: a Scalable Framework for Streaming Credit Card Fraud Detection with Spark. CoRR abs/1709.08920 (2017) - 2016
- [c12]Bertrand Lebichot, Fabian Braun, Olivier Caelen, Marco Saerens:
A graph-based, semi-supervised, credit card fraud detection system. COMPLEX NETWORKS 2016: 721-733 - 2015
- [j3]Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens:
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. 75: 38-48 (2015) - [c11]Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, Cesare Alippi, Gianluca Bontempi:
Credit card fraud detection and concept-drift adaptation with delayed supervised information. IJCNN 2015: 1-8 - [c10]Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi:
When is Undersampling Effective in Unbalanced Classification Tasks? ECML/PKDD (1) 2015: 200-215 - [c9]Andrea Dal Pozzolo, Olivier Caelen, Reid A. Johnson, Gianluca Bontempi:
Calibrating Probability with Undersampling for Unbalanced Classification. SSCI 2015: 159-166 - 2014
- [j2]Andrea Dal Pozzolo, Olivier Caelen, Yann-Aël Le Borgne, Serge Waterschoot, Gianluca Bontempi:
Learned lessons in credit card fraud detection from a practitioner perspective. Expert Syst. Appl. 41(10): 4915-4928 (2014) - [c8]Andrea Dal Pozzolo, Reid A. Johnson, Olivier Caelen, Serge Waterschoot, Nitesh V. Chawla, Gianluca Bontempi:
Using HDDT to avoid instances propagation in unbalanced and evolving data streams. IJCNN 2014: 588-594 - 2013
- [c7]Andrea Dal Pozzolo, Olivier Caelen, Serge Waterschoot, Gianluca Bontempi:
Racing for Unbalanced Methods Selection. IDEAL 2013: 24-31 - 2011
- [c6]Gianluca Bontempi, Olivier Caelen:
A Selecting-the-Best Method for Budgeted Model Selection. ECML/PKDD (1) 2011: 249-262 - 2010
- [j1]Olivier Caelen, Gianluca Bontempi:
A dynamic programming strategy to balance exploration and exploitation in the bandit problem. Ann. Math. Artif. Intell. 60(1-2): 3-24 (2010)
2000 – 2009
- 2007
- [c5]Olivier Caelen, Gianluca Bontempi, Luc Barvais:
Machine Learning Techniques for Decision Support in Anesthesia. AIME 2007: 165-169 - [c4]Olivier Caelen, Gianluca Bontempi:
Improving the Exploration Strategy in Bandit Algorithms. LION 2007: 56-68 - 2006
- [c3]Olivier Caelen, Gianluca Bontempi, Eddy Coussaert, Luc Barvais, François Clément:
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia. CBMS 2006: 696-701 - 2005
- [c2]Olivier Caelen, Gianluca Bontempi:
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. BNAIC 2005: 51-58 - [c1]Patrick Emmanuel Meyer, Olivier Caelen, Gianluca Bontempi:
Speeding up Feature Selection by Using an Information Theoretic Bound. BNAIC 2005: 166-173
Coauthor Index
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