This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

A fresh new stack of leaks has just dropped about the next generation of AMD Radeon GPUs, and they point to an extremely powerful graphics card at the top end that's at least 50% more powerful than ...

Statistical physics provides many tools to treat ecological models far from equilibrium. One of them, mean field theory, is appropriate as an initial step to a more realistic investigation of a ...

Due to a production error, there was an error regarding the affiliation for Somayeh Makouei. Instead of having affiliation 2, they should have affiliation 1 ...

Abstract: To apply emotion recognition and classification technology to the field of human-robot interaction, it is necessary to implement fast data processing and model weight reduction. This paper ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

ABSTRACT: In this paper, we propose an additional layer of security to the authentication system of a VoIP network through the integration of facial emotion detection technology. The proposed system ...

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...