29 citations · 30 across the 10 of their papers we have counts for
11 papers
XtracTree: a Simple and Effective Method for Regulator Validation of Bagging Methods Used in Retail Banking
Jeremy Charlier, Vladimir Makarenkov
Bootstrap aggregation, known as bagging, is one of the most popular ensemble methods used in machine learning (ML). An ensemble method is a ML method that combines multiple hypothe…
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking
Jeremy Charlier
The retail banking services are one of the pillars of the modern economic growth. However, the evolution of the client's habits in modern societies and the recent European regulati…
SynGAN: Towards Generating Synthetic Network Attacks using GANs
Jeremy Charlier, Aman Singh, Gaston Ormazabal +2
The rapid digital transformation without security considerations has resulted in the rise of global-scale cyberattacks. The first line of defense against these attacks are Network…
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment
Jeremy Charlier, Radu State, Jean Hilger
The digital revolution of the banking system with evolving European regulations have pushed the major banking actors to innovate by a newly use of their clients' digital informatio…
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition
Jeremy Charlier, Eric Falk, Radu State +1
The new financial European regulations such as PSD2 are changing the retail banking services. Noticeably, the monitoring of the personal expenses is now opened to other institution…
PHom-GeM: Persistent Homology for Generative Models
Jeremy Charlier, Radu State, Jean Hilger
Generative neural network models, including Generative Adversarial Network (GAN) and Auto-Encoders (AE), are among the most popular neural network models to generate adversarial da…
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling
Jeremy Charlier, Radu State, Jean Hilger
Smart contracts are programs stored and executed on a blockchain. The Ethereum platform, an open-source blockchain-based platform, has been designed to use these programs offering…
Modeling Smart Contracts Activities: A Tensor Based Approach
Jeremy Charlier, Radu Statem, Jean Hilger
Smart contracts are autonomous software executing predefined conditions. Two of the biggest advantages of the smart contracts are secured protocols and transaction costs reduction.…
Visualization of AE's Training on Credit Card Transactions with Persistent Homology
Jeremy Charlier, Francois Petit, Gaston Ormazabal +2
Auto-encoders are among the most popular neural network architecture for dimension reduction. They are composed of two parts: the encoder which maps the model distribution to a lat…
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning
Jeremy Charlier, Gaston Ormazabal, Radu State +1
Reinforcement learning has become one of the best approach to train a computer game emulator capable of human level performance. In a reinforcement learning approach, an optimal va…
VecHGrad for Solving Accurately Complex Tensor Decomposition
Jeremy Charlier, Vladimir Makarenkov
Tensor decomposition, a collection of factorization techniques for multidimensional arrays, are among the most general and powerful tools for scientific analysis. However, because…