Neural Networks Optimizations Against Concept and Data Drift in Malware Detection

no code implementations • 21 Aug 2023 • William Maillet, Benjamin Marais

Despite the promising results of machine learning models in malware detection, they face the problem of concept drift due to malware constant evolution.

Malware Detection

Fusion of Satellite Images and Weather Data with Transformer Networks for Downy Mildew Disease Detection

no code implementations • 6 Sep 2022 • William Maillet, Maryam Ouhami, Adel Hafiane

In a context where the goal of precision agriculture is to minimize or even avoid the use of pesticides, weather and remote sensing data with deep learning can play a pivotal role in detecting crop diseases, allowing localized treatment of crops.