IEEE

DualMixer: An Efficient and Robust Model for Multivariate Time Series Forecasting

Abstract: Time series forecasting plays a vital role in various fields such as energy forecasting and transportation planning. Although Transformer-based models have made remarkable progress in time ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

The Tensor Discriminant Ridge Regression Model With Extreme Learning Machine for Hyperspectral Image Classification

Abstract: Multivariate ridge regression (MR), linear discriminant analysis (LDA) and extreme learning machine (ELM) have been widely used in hyperspectral image (HSI) classification. However, these ...
GitHub

Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection (ISSRE-2024)

Log-based anomaly detection is critical in monitoring the operations of information systems and in the realtime reporting of system failures. Utilizing deep learning-based log anomaly detection ...