Francisco Javier Baldán Lozano
Category
PhDContact
fjbaldan@uSVnboZXma.es
Organization
UMATotal | From 2019: | |
---|---|---|
Citas | Total: 270 | From 2019: 261 |
Índice H | Total: 5 | From 2019: 5 |
Índice i10 | Total: 5 | From 2019: 5 |
Papers (12)
Title | Authors | Year |
---|---|---|
Natural noise management in collaborative recommender systems over time-related information | FJ Baldán, R Yera, L Martínez. | 2024 |
Time series features and fuzzy memberships combination for time series classification | FJ Baldán, L Martínez. | 2024 |
Benchmarking Anomaly Detection Methods: Insights from the UCR Time Series Anomaly Archive | FJ Baldán, D García-Gil. | 2024 |
Semantic of Cloud Computing services for Time Series workflows | M Parra-Royón, F Baldan, G Atemezing, JM Benitez. | 2022 |
Multivariate times series classification through an interpretable representation | FJ Baldán Lozano, JM Benítez Sánchez. | 2021 |
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments | FJ Baldán, D Peralta, Y Saeys, JM Benítez. | 2021 |
Complexity Measures and Features for Times Series classification | FJ Baldán, JM Benítez. | 2020 |
Multivariable times series classification through an interpretable representation | FJ Baldán, JM Benítez. | 2020 |
Distributed FastShapelet Transform: a Big Data time series classification algorithm | FJ Baldán, JM Benítez. | 2019 |
2018 Index IEEE Transactions on Cloud Computing Vol. 6 | CT Abdallah, K Ahmed, M Ali, A Almutairi, H Alshammari, .... | 2019 |
Fault detection based on time series modeling and multivariate statistical process control | A Sánchez-Fernández, FJ Baldán, GI Sainz-Palmero, JM Benítez, .... | 2018 |
Un procedimiento efectivo para descomponer y modelar series temporales en agricultura | F Aragón, FJ Baldán, M Parra, JM Benıtez. | 2018 |
A forecasting methodology for workload forecasting in cloud systems | FJ Baldán, S Ramírez-Gallego, C Bergmeir, F Herrera, JM Benítez. | 2016 |
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