Abstract: Few shot time series forecasting is a significant challenge in fields such as healthcare, IoT, and finance, where data scarcity limits the effectiveness of traditional predictive models.

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Worldwide Flight Services (WFS) has improved its machine learning tool to better forecast air cargo volumes and support better strategy development for services. The Performance Management Platform - ...