Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

This repository contains code for the paper: "Attributions for ML-based ICS anomaly detection: From theory to practice", to appear at the 31st Network and Distributed System Security Symposium (NDSS ...

This repository contains training and inference code for the MoLeR model introduced in Learning to Extend Molecular Scaffolds with Structural Motifs. We also include our implementation of CGVAE, but ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...

Combines ideas from data science, humanities and social sciences. Views are my own. Random forest is one of the most popular algorithms for multiple machine learning tasks. This story looks into ...