A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic. - Ángela Blanco-Fernández; Ana Colubi; Marta García-Bárzana; Manuel Montenegro (SMPS, 2012)

A set arithmetic-based linear regression model for modelling interval-valued responses through real-valued variables. - Ángela Blanco-Fernández; Ana Colubi; Marta García-Bárzana (Inf. Sci., 2013)

Lasso Estimation of an Interval-Valued Multiple Regression Model. - Marta García-Bárzana; Ana Colubi; Erricos John Kontoghiorghes (SMPS, 2014)

Multiple linear regression models for random intervals: a set arithmetic approach. - Marta García-Bárzana; Ana Belén Ramos-Guajardo; Ana Colubi; Erricos John Kontoghiorghes (Comput. Stat., 2020)

Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms. - Jacinto Carrasco; Irina Markova; David López; Ignacio Aguilera; Diego García; Marta García-Bárzana; Manuel Arias-Rodil; Julián Luengo; Francisco Herrera (CoRR, 2021)

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. - Jacinto Carrasco; David López; Ignacio Aguilera-Martos; Diego García-Gil; Irina Markova; Marta García-Bárzana; Manuel Arias-Rodil; Julián Luengo; Francisco Herrera (Neurocomputing, 2021)

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. - Ignacio Aguilera-Martos; Marta García-Bárzana; Diego García-Gil; Jacinto Carrasco; David López; Julián Luengo; Francisco Herrera (Neurocomputing, 2023)

Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. - David López; Ignacio Aguilera-Martos; Marta García-Bárzana; Francisco Herrera; Diego García-Gil; Julián Luengo (Inf. Fusion, 2023)