Yann-Aël Le Borgne
Yann-Aël Le Borgne
PostDoc Researcher, Université Libre de Bruxelles, Belgium
Zweryfikowany adres z ulb.ac.be - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Machine learning strategies for time series forecasting
G Bontempi, SB Taieb, YA Le Borgne
European business intelligence summer school, 62-77, 2012
2732012
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
2422014
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
1992007
New routes from minimal approximation error to principal components
AA Miranda, YA Le Borgne, G Bontempi
Neural Processing Letters 27 (3), 197-207, 2008
1682008
Distributed principal component analysis for wireless sensor networks
YA Le Borgne, S Raybaud, G Bontempi
Sensors 8 (8), 4821-4850, 2008
772008
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
712018
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
692005
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, 2019
352019
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 (4), 285-300, 2018
312018
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
302007
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
292012
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
172011
Une plate-forme technologique liée à la paralysie cérébrale-Le projet ICT4Rehab
SVS Jan, V Wermenbol, P Van Bogaert, K Desloovere, M Degelaen, ...
médecine/sciences 29 (5), 529-536, 2013
15*2013
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
152007
Reinforcement learning for self-organizing wake-up scheduling in wireless sensor networks
M Mihaylov, YA Le Borgne, K Tuyls, A Nowé
International Conference on Agents and Artificial Intelligence, 382-396, 2011
142011
Deep-learning domain adaptation techniques for credit cards fraud detection
B Lebichot, YA Le Borgne, L He-Guelton, F Oblé, G Bontempi
INNS Big Data and Deep Learning conference, 78-88, 2019
132019
Machine learning basics
K Kapitanova, S Son
Intelligent Sensor Networks, 3-29, 2012
112012
Feature selection in high-dimensional dataset using MapReduce
C Reggiani, YA Le Borgne, G Bontempi
Benelux Conference on Artificial Intelligence, 101-115, 2017
102017
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
102017
Bias-variance trade-off characterization in a classification problem: What differences with regression
Y Le Borgne
Machine Learning Group, Univ. Libre de Bruxelles, Belgium, 2005
102005
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