A comprehensive Python library for time series forecasting that compares baseline, statistical, and machine learning models with proper backtesting and evaluation. forecasting-system/ ├── forecasting/ ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...

Abstract: This study uses a publicly accessible dataset from Kaggle to evaluate the performance of a novel Random Forest technique for optimal route analysis against a Naive Bayes classifier. The ...

Culex mosquito larvae cluster together underwater. The genus is the chief insect vector for West Nile virus in the United States. Credit: Gross, 2006, https://doi.org ...

Kalshi says it's more than just betting and that it offers high-quality forecasts. Now, a research paper from a group of Federal Reserve economists is backing that up. The researchers found that ...

Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...