GitHub

Anomaly Detection in Stock Prices using LSTM Autoencoder

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...
IEEE

RAT-CC: A Recurrent Autoencoder for Time-Series Compression and Classification

Abstract: The growth of interconnected devices has led to an enormous volume of temporal data that requires specialized compression models for efficient storage. Besides this, most applications need ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
IEEE

A Pre-Sorted Autoencoder-based Prediction for Dynamic Multiobjective Optimization

Abstract: In this paper, a pre-sorted autoencoder-based prediction algorithm, named PSAE, was proposed to solve dynamic multiobjective optimization problems (DMOPs). Since transfer learning enables ...