rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. - Jacinto Carrasco; Salvador García 001; María del Mar Rueda; Francisco Herrera (HAIS, 2017)

otsad: A package for online time-series anomaly detectors. - Alaiñe Iturria; Jacinto Carrasco; Santi Charramendieta; Angel Conde; Francisco Herrera (Neurocomputing, 2020)

Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. - Jacinto Carrasco; Salvador García 001; María del Mar Rueda; Swagatam Das; Francisco Herrera (Swarm Evol. Comput., 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)

Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package. - Diego García-Gil; David López; Daniel Argüelles-Martino; Jacinto Carrasco; Ignacio Aguilera-Martos; Julián Luengo; Francisco Herrera (Inf. Sci., 2025)