Listar por autor "Baldán, Francisco J."

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Benchmarking anomaly detection methods: Insights from the UCR Time Series Anomaly Archive

Baldán, Francisco J.; García-Gil, Diego (Wiley, 2025-02)

Anomaly detection, vital for identifying deviations from normative data patterns, is particularly crucial in sensor-driven real-world applications, which predominantly involve temporal data in the form of time series. ...
Time series features and fuzzy memberships combination for time series classification

Baldán, Francisco J.; Martínez, Luis (Elsevier, 2024)

Time series classification is an increasingly attractive field with the appearance of new problems in an expanding digitalized world. Most of the proposals in the state-of-the-art have focused just on improving the results’ ...