| Multi-step forecasting for big data time series based on ensemble learning A Galicia, R Talavera-Llames, A Troncoso, I Koprinska, ... Knowledge-Based Systems 163, 830-841, 2019 | 259 | 2019 |
| Big data time series forecasting based on nearest neighbours distributed computing with Spark R Talavera-Llames, R Pérez-Chacón, A Troncoso, F Martínez-Álvarez Knowledge-Based Systems 161, 12-25, 2018 | 57 | 2018 |
| MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting R Talavera-Llames, R Pérez-Chacón, A Troncoso, F Martínez-Álvarez Neurocomputing 353, 56-73, 2019 | 56 | 2019 |
| Finding electric energy consumption patterns in big time series data R Pérez-Chacón, RL Talavera-Llames, F Martinez-Alvarez, A Troncoso Distributed Computing and Artificial Intelligence, 13th International …, 2016 | 42 | 2016 |
| A nearest neighbours-based algorithm for big time series data forecasting RL Talavera-Llames, R Pérez-Chacón, M Martínez-Ballesteros, ... Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 41 | 2016 |
| Técnicas avanzadas de predicción para big data en el contexto de smart cities RLT Llames Universidad Pablo de Olavide, 2019 | | 2019 |
Francisco Martínez-ÁlvarezFull Professor, Data Science & Big Data Lab, Pablo de Olavide University of Seville, Spainupo.es의 이메일 확인됨