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Yann-Aël Le Borgne
Yann-Aël Le Borgne
PostDoc Researcher, Université Libre de Bruxelles, Belgium
Verified email at ulb.ac.be - Homepage
Title
Cited by
Cited by
Year
Machine learning strategies for time series forecasting
G Bontempi, S Ben Taieb, YA Le Borgne
Business Intelligence: Second European Summer School, eBISS 2012, Brussels …, 2013
8772013
Learned lessons in credit card fraud detection from a practitioner perspective
A Dal Pozzolo, O Caelen, YA Le Borgne, S Waterschoot, G Bontempi
Expert systems with applications 41 (10), 4915-4928, 2014
6072014
Combining unsupervised and supervised learning in credit card fraud detection
F Carcillo, YA Le Borgne, O Caelen, Y Kessaci, F Oblé, G Bontempi
Information sciences 557, 317-331, 2021
4722021
Scarff: a scalable framework for streaming credit card fraud detection with spark
F Carcillo, A Dal Pozzolo, YA Le Borgne, O Caelen, Y Mazzer, ...
Information fusion 41, 182-194, 2018
2752018
Adaptive model selection for time series prediction in wireless sensor networks
YA Le Borgne, S Santini, G Bontempi
Signal Processing 87 (12), 3010-3020, 2007
2502007
New routes from minimal approximation error to principal components
AA Miranda, YA Le Borgne, G Bontempi
Neural Processing Letters 27, 197-207, 2008
2242008
Deep-learning domain adaptation techniques for credit cards fraud detection
B Lebichot, YA Le Borgne, L He-Guelton, F Oblé, G Bontempi
Recent Advances in Big Data and Deep Learning: Proceedings of the INNS Big …, 2020
1362020
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
F Carcillo, YA Le Borgne, O Caelen, G Bontempi
International Journal of Data Science and Analytics 5, 285-300, 2018
1352018
Distributed principal component analysis for wireless sensor networks
YA Le Borgne, S Raybaud, G Bontempi
Sensors 8 (8), 4821-4850, 2008
892008
An adaptive modular approach to the mining of sensor network data
G Bontempi, Y Le Borgne
proceedings of 1st International Workshop on Data Mining in Sensor Networks …, 2005
802005
Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks
M Mihaylov, YA Le Borgne, K Tuyls, A Nowé
International Journal of Communication Networks and Distributed Systems 9 (3 …, 2012
512012
Unsupervised and supervised compression with principal component analysis in wireless sensor networks
Y Le Borgne, G Bontempi
Proceedings of the Workshop on Knowledge Discovery from Data, 13th ACM …, 2007
352007
Transfer learning strategies for credit card fraud detection
B Lebichot, T Verhelst, YA Le Borgne, L He-Guelton, F Oble, G Bontempi
IEEE access 9, 114754-114766, 2021
312021
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting
J De Stefani, YA Le Borgne, O Caelen, D Hattab, G Bontempi
International Journal of Data Science and Analytics 7 (4), 311-329, 2019
252019
Feature selection in high-dimensional dataset using MapReduce
C Reggiani, YA Le Borgne, G Bontempi
Benelux Conference on Artificial Intelligence, 101-115, 2017
252017
An assessment of streaming active learning strategies for real-life credit card fraud detection
F Carcillo, YA Le Borgne, O Caelen, G Bontempi
2017 IEEE international conference on data science and advanced analytics …, 2017
232017
Digenic inheritance of human primary microcephaly delineates centrosomal and non‐centrosomal pathways
S Duerinckx, V Jacquemin, S Drunat, Y Vial, S Passemard, C Perazzolo, ...
Human mutation 41 (2), 512-524, 2020
222020
The role of diversity and ensemble learning in credit card fraud detection
GM Paldino, B Lebichot, YA Le Borgne, W Siblini, F Oblé, G Boracchi, ...
Advances in Data Analysis and Classification 18 (1), 193-217, 2024
212024
Distributed cooperation in wireless sensor networks
M Mihaylov, YA Le Borgne, K Tuyls, A Nowé
The 10th International Conference on Autonomous Agents and Multiagent …, 2011
212011
Principal component aggregation for energy efficient information extraction in wireless sensor networks
YA Le Borgne, JM Dricot, G Bontempi
Knowledge Discovery from Sensor Data, 2007
202007
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