Author

Alfredo Cuesta-Infante

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Open access Jul 2026

A large-scale graph-augmented traffic dataset for data-driven spatio-temporal traffic analysis.

This paper introduces a large-scale, high-resolution traffic dataset collected from over 5,000 sensors across the city of Madrid, Spain, spanning a ten-year period, from 2015 to 2024. Comprising more than 1.5 billion records, the dataset includes key traffic metrics such as intensity, occupancy, and average speed, aggr...

David María-Arribas, J. Pantrigo, Alfredo Cuesta-Infante · Scientific Data · 0 citations

Conference Open access Jul 2026

Anomaly Detection in Multivariate Industrial Signals: LLMs, TSFMs, or Classical Deep Learning

Large language models (LLMs) offer several distinctive advantages over other machine learning models. First, they are trained as general-purpose models and are readily available, which eliminates the need for task-specific training and allows them to improve rapidly over time. Second, they can be applied directly, with...

Allen Baranov, Sarah Alnegheimish, Alfredo Cuesta-Infante et al. · PHM Society European Confere... · 0 citations