A Forecasting Methodology for Workload Forecasting in Cloud Systems. - Francisco Javier Baldan; Sergio Ramírez-Gallego; Christoph Bergmeir; Francisco Herrera; José Manuel Benítez 001 (IEEE Trans. Cloud Comput., 2018)

Distributed FastShapelet Transform: a Big Data time series classification algorithm. - Francisco Javier Baldan; José Manuel Benítez 001 (Inf. Sci., 2019)

Multivariable times series classification through an interpretable representation. - Francisco Javier Baldan; José Manuel Benítez 001 (CoRR, 2020)

SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. - Francisco Javier Baldan; Daniel Peralta; Yvan Saeys; José Manuel Benítez 001 (Int. J. Comput. Intell. Syst., 2021)

Multivariate times series classification through an interpretable representation. - Francisco Javier Baldan; José Manuel Benítez 001 (Inf. Sci., 2021)

Semantic of Cloud Computing services for Time Series workflows. - Manuel Parra-Royon; Francisco Javier Baldan; Ghislain Atemezing; José Manuel Benítez 001 (CoRR, 2022)

Complexity measures and features for times series classification. - Francisco Javier Baldan; José Manuel Benítez 001 (Expert Syst. Appl., 2023)

Benchmarking Anomaly Detection Methods: Insights From the UCR Time Series Anomaly Archive. - Francisco Javier Baldan; Diego García-Gil (Expert Syst. J. Knowl. Eng., 2025)