activity
20192022
most citedGeneration and Simulation of Synthetic Datasets with Copulas

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

Radial Autoencoders for Enhanced Anomaly Detection

Mihai-Cezar Augustin, Vivien Bonvin, Regis Houssou +2

In classification problems, supervised machine-learning methods outperform traditional algorithms, thanks to the ability of neural networks to learn complex patterns. However, in t…

cs.LG20224 cited

Generation and Simulation of Synthetic Datasets with Copulas

Regis Houssou, Mihai-Cezar Augustin, Efstratios Rappos +2

This paper proposes a new method to generate synthetic data sets based on copula models. Our goal is to produce surrogate data resembling real data in terms of marginal and joint d…

cs.CE2020

Anomaly Detection Model for Imbalanced Datasets

Régis Houssou, Stephan Robert-Nicoud

This paper proposes a method to detect bank frauds using a mixed approach combining a stochastic intensity model with the probability of fraud observed on transactions. It is a dyn…

cs.CR2020

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

Giulia Moschini, Régis Houssou, Jérôme Bovay +1

This paper addresses the problem of unsupervised approach of credit card fraud detection in unbalanced dataset using the ARIMA model. The ARIMA model is fitted on the regular spend…

q-fin.RM2019

Adaptive Financial Fraud Detection in Imbalanced Data with Time-Varying Poisson Processes

Régis Houssou, Jérôme Bovay, Stephan Robert

This paper discusses financial fraud detection in imbalanced dataset using homogeneous and non-homogeneous Poisson processes. The probability of predicting fraud on the financial t…