• Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency 

      Tobar, Andrés; Flores, Miguel; Castillo-Páez, Sergio; Naya, Salvador; Zaragoza, Sonia; Tarrío-Saavedra, Javier (Elsevier, 2023-11)
      [Abtract]: An automated methodology is proposed to identify anomalies in buildings’ HVAC systems, through Local Correlation Integral (LOCI) algorithm, improved by Bootstrap to obtain a rule from its score distribution. ...
    • Local Correlation Integral Approach for Anomaly Detection Using Functional Data 

      Sosa, Jorge; Flores, Miguel; Naya, Salvador; Tarrío-Saavedra, Javier (MDPI, 2023-02-06)
      [Abstract]: The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called ...