Author

Alfredo Cuesta-Infante

2 papers indexed here

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Open access Jul 2026

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

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, is introduced.

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

This paper defines a set of guiding principles (such as avoiding pre-learning or representation learning on the signals) to ensure the LLMs remain general-purpose models and proposes several algorithmic approaches for building multivariate anomaly detection pipelines.

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