2 citations · 2 across the 7 of their papers we have counts for
8 papers
Know Your Model (KYM): Increasing Trust in AI and Machine Learning
Mary Roszel, Robert Norvill, Jean Hilger +1
The widespread utilization of AI systems has drawn attention to the potential impacts of such systems on society. Of particular concern are the consequences that prediction errors…
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…