31 citations · 49 across the 6 of their papers we have counts for
6 papers
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling
Mansour Zoubeirou A Mayaki, Michel Riveill
Anomaly detection or more generally outliers detection is one of the most popular and challenging subject in theoretical and applied machine learning. The main challenge is that in…
Multiple Inputs Neural Networks for Medicare fraud Detection
Mansour Zoubeirou A Mayaki, Michel Riveill
Medicare fraud results in considerable losses for governments and insurance companies and results in higher premiums from clients. Medicare fraud costs around 13 billion euros in E…
Autoregressive based Drift Detection Method
Mansour Zoubeirou A Mayaki, Michel Riveill
In the classic machine learning framework, models are trained on historical data and used to predict future values. It is assumed that the data distribution does not change over ti…
Aspects of Assembly and Cascaded Aspects of Assembly: Logical and Temporal Properties
Nicolas Ferry, Jean-Yves Tigli, Stéphane Lavirotte +2
Highly dynamic computing environments, like ubiquitous and pervasive computing environments, require frequent adaptation of applications. This has to be done in a timely fashion, a…
Context-aware Authorization in Highly Dynamic Environments
Jean-Yves Tigli, Stephane Lavirotte, Gaetan Rey +2
Highly dynamic computing environments, like ubiquitous and pervasive computing environments, require frequent adaptation of applications. Context is a key to adapt suiting user nee…
Lightweight Service Oriented Architecture for Pervasive Computing
Jean-Yves Tigli, Stephane Lavirotte, Gaetan Rey +2
Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on net…