GitHub

Ayush0922/Autoencoder-in-Python

An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...
GitHub

Non-Invasive-Bioelectronics-Lab/Autoencoder

The EEG dataset (preprocessed) and the Autoencoder Python code is in "ae_model" branch. The trained TensorFlow model, and the converted TensorFlow-Lite model are also included in "ae_model" branch.
IEEE

Rapidae: A Python Library for Creation, Experimentation, and Benchmarking of Autoencoder Models

Abstract: Autoencoders have proven successful across diverse applications such as data reconstruction, anomaly detection, and feature extraction, however, these advancements remain largely dispersed ...
IEEE

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Abstract: Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, ...
Frontiers

Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition

Introduction: Over the past few decades, China has vigorously advanced its strategy to build a powerful transportation network, constructing and maintaining numerous slope engineering projects.
Frontiers

Granular risk assessment of earthquake induced landslide via latent representations of stacked autoencoder

Earthquake-induced landslides are ubiquitous on slopes in terrestrial environments, which can pose a serious threat to local communities and infrastructures. Data-driven landslide assessments play a ...
C&EN

DPMGCDA: Deciphering circRNA–Drug Sensitivity Associations with Dual Perspective Learning and Path-Masked Graph Autoencoder

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...