Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...

A unified foundation model for medical time series — pretrained on open access and ethics board-approved medical corpora — offers the potential to reduce annotation burdens, minimize model ...

Abstract: To address the limitations of traditional time series models in capturing nonlinear inflation dynamics and deep learning's susceptibility to overfitting with limited data, this study ...

This project computes a Personalized Consumer Price Index (CPI) for each user based on their unique spending behavior. Instead of relying on the national “CPI-U,” this system builds a user-specific ...

1 Department of Computer Science, University of Mary Washington, Fredericksburg, USA. 2 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, USA. This paper explores ...

1 Department of Physiology, School of Basic Medicine, Kunming Medical University, Kunming, Yunnan, China 2 School of Public Health, Kunming Medical University, Kunming, Yunnan, China Objective: The ...

This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

This academic seminar series explores a broad range of topics such as data science, urban planning and urban networks and ...