This repository contains the code for the lecture "Big Data Praktikum SS25". The objective was to train a variational autoencoder (VAE) on cellxgene data and find meaningful latent representations of ...

ABSTRACT: Extreme learning machine (ELM) is a feedforward neural network-based machine learning method that has the benefits of short training times, strong generalization capabilities, and will not ...

This process is called Autoencoder, which can be used to not only for image recognifition, but it can also be used to non-linear simulation like GAN (Generative Adversarial Network). To further ...

This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...